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The Challenges of Measuring Success in Collaborative Ecosystem Management
-Draft-
Elizabeth McCance, Sarah Kopplin,
Sheila Schueller, and Steven Yaffee
May 2002
2002 Ecosystem Management Initiative, School of Natural Resources and Environment, University of Michigan, Ann Arbor, MI 48109-1115;
[email protected], 734-615-6512
Draft � Do NOT cite or quote.
Table of Contents INTRODUCTION .......................................................................................................................................................1
THE CASES .................................................................................................................................................................1 Chequamegon-Nicolet National Forest .................................................................................................................1 Chicago Wilderness ...............................................................................................................................................2 Fish Creek .............................................................................................................................................................3 Kankakee River Basin............................................................................................................................................4 Oak Openings ........................................................................................................................................................5
LESSONS.....................................................................................................................................................................5
CHALLENGES AND SOLUTIONS..........................................................................................................................1
1. NO UNIVERSAL DEFINITION OF ECOSYSTEM MANAGEMENT ............................................................2
CHALLENGES..............................................................................................................................................................2 Integration of Conflicting Goals ........................................................................................................................2 Difficulties with Scale .......................................................................................................................................3 Role of Collaboration ........................................................................................................................................3 Understanding Systems Thinking......................................................................................................................4
POTENTIAL SOLUTIONS ..............................................................................................................................................5
2. VAGUE, ILL-DEFINES, OR IDEALISTIC GOALS ..........................................................................................7
CHALLENGES..............................................................................................................................................................7 Unachievable Goals ...........................................................................................................................................7 Implementation Versus Progress .......................................................................................................................8 Running to Stay in Place....................................................................................................................................8
POSSIBLE SOLUTIONS .................................................................................................................................................9
3. MULTIPLE STAGES OF ECOSYSTEM MANAGEMENT............................................................................10
CHALLENGES............................................................................................................................................................10 No Universal Indicator of Success...................................................................................................................10 Successful Implementation Versus Successful Strategy..................................................................................11 Strategies at a Variety of Stages ......................................................................................................................12
POSSIBLE SOLUTIONS ...............................................................................................................................................12
4. MULTIPLE TIME SCALES................................................................................................................................13
CHALLENGES............................................................................................................................................................13 Time Lags ........................................................................................................................................................13 Lack of Monitoring Programs..........................................................................................................................14 Interconnected Strategies.................................................................................................................................15
POSSIBLE SOLUTIONS ...............................................................................................................................................15
5. MULTIPLE SPATIAL SCALES .........................................................................................................................16
CHALLENGES............................................................................................................................................................16 Scaling Up .......................................................................................................................................................17 Importance of Larger Scales ............................................................................................................................17 Uncertain Causal Linkages ..............................................................................................................................17
POSSIBLE SOLUTIONS ...............................................................................................................................................18
6. COMPLEX ECOLOGICAL SYSTEMS.............................................................................................................19
CHALLENGES............................................................................................................................................................19 Natural Variability ...........................................................................................................................................19 Confounding Variables....................................................................................................................................20 Representative Indicators.................................................................................................................................20
Coarse-scale Measures.....................................................................................................................................21 POSSIBLE SOLUTIONS ...............................................................................................................................................21
7. LACK OF ARTICULATED SOCIAL AND PROCESS GOALS.....................................................................22
CHALLENGES............................................................................................................................................................22 Lack of Social and Process Goals....................................................................................................................23 Fuzzy Concepts................................................................................................................................................23 Benefits of Well-Defined Process....................................................................................................................24
POSSIBLE SOLUTIONS ...............................................................................................................................................25
8. EXTRANEOUS AND CONFLICTING GOALS ...............................................................................................25
CHALLENGES............................................................................................................................................................26 Small Effort in a Big Pond...............................................................................................................................26 Complications with Indicator Selection...........................................................................................................26 Small Token Projects.......................................................................................................................................26 Incompatible Goals..........................................................................................................................................27
POSSIBLE SOLUTIONS ...............................................................................................................................................27
9. SINGLE STRATEGY VERSUS HOLISTIC GOAL .........................................................................................28
CHALLENGES............................................................................................................................................................28 Strategy Not Sufficient ....................................................................................................................................28 Short-term Versus Long-term Success ............................................................................................................29 Understanding Incentives ................................................................................................................................30 Unintended Effects ..........................................................................................................................................31 Multiple Measures ...........................................................................................................................................32
POSSIBLE SOLUTIONS ...............................................................................................................................................32
10. CAUSAL LINKAGES.........................................................................................................................................33
CHALLENGES............................................................................................................................................................33 Simultaneous Use of Strategies .......................................................................................................................34 Poorly Designed Monitoring Programs ...........................................................................................................34
POSSIBLE SOLUTIONS ...............................................................................................................................................35
11. UNREALIZED EVALUATION PLANS...........................................................................................................36
CHALLENGES............................................................................................................................................................36 Other Priorities ................................................................................................................................................37 Overwhelmed by Task.....................................................................................................................................38 Data Collection Versus Analysis .....................................................................................................................39
POTENTIAL SOLUTIONS ............................................................................................................................................40
12. SCALE OF EVALUATION ...............................................................................................................................42
CHALLENGES............................................................................................................................................................42 Fine Scale Indicators........................................................................................................................................42 Coarse Scale Indicators....................................................................................................................................43
POTENTIAL SOLUTIONS ............................................................................................................................................44
Introduction
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Introduction
Ecosystem management is becoming an increasingly popular strategy for addressing complex
conservation issues. While more and more organizations are using ecosystem management
approaches to address environmental problems, there is not yet an accepted framework to
evaluate ecosystem management programs. There is both an internal and external interest in
learning how to evaluate ecosystem management. For those organizations involved in an
ecosystem management program, evaluation is needed to measure progress. How is the program
working? Are the goals being met? From an outside perspective, many stakeholders, including
funders, are interested in determining how successful ecosystem management is in addressing
complex environmental and social issues. Is ecosystem management a good approach? Are
there certain factors that make a program more or less successful that should be replicated in
other programs?
As a first step to develop a framework to evaluate ecosystem management, we undertook a
qualitative investigation of five programs. Within each ecosystem management case, we
interviewed three to seven people from different participating organizations. The purpose of the
interviews was to determine how various participants viewed success, their own progress, and
how they might be dealing with evaluation questions. The five cases included in this study are:
Chequamegon-Nicolet Forest, Chicago Wilderness, Fish Creek, Kankakee River Basin, and Oak
Openings. While information about each case is laced throughout the document, basic
information is described below.
The Cases
Chequamegon-Nicolet National Forest The ecoregion in question is a 1.5 million acre national forest and an overlapping 700,000-acre
watershed that empties into Lake Superior on the eastern side of Chequamegon Bay in northern
Wisconsin. The Chequamegon Bay Watershed harbors many rare and endangered plants and
animals, and the Chequamegon-Nicolet National Forest contains some of Wisconsin's largest and
least disturbed stands of sugar maple-hemlock forest, and globally imperiled pine barrens and
dry forest communities.
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Change in the forest composition and cover, runoff from agricultural fields, development, and,
potentially, mining, could have or are having an impact on the long-term health and biodiversity
of the Sloughs and the Chequamegon Bay Watershed. Ownership of the watershed is divided
among federal and state agencies, private timber companies, and the Bad River Reservation. No
all-encompassing formal partnership exists in this ecoregion, but there has been collaboration
and informal or temporary partnerships (and/or plans for stronger ties) among DNR, TNC,
USFS, local colleges and universities, and the Bad River Indian Reservation.
TNC worked with several partners to develop their conservation plan in 1997, including US
Forest Service, Wisconsin DNR, tribal members, Northland College, county resource staff,
county Land Conservation Department, and other local scientists. TNC is now focusing on
setting up an advisory group that would consist of local long-term residents, and people from
some agencies and those involved in local town government. Within the forest service, there is
an internal team, which is working to revise the Chequamegon and Nicolet Forest Plans into one
joint plan.
Overall, the goals of all agencies are to restore much of the forested area to something more
similar to historical forests and to protect the health of the watershed. The Forest Service has
additional multiple-use goals beyond conservation, such as recreation and timber use. TNC�s
goals focus on improving the health of the watershed. Their approach is to influence private and
public management practices through the forest plan revision process and through public
education and easements. The DNR is working to collect the kind of information � state-wide
biological inventory � to allow for priority sites to be identified for conservation or restoration
and to provide for more informed development of management plans.
Chicago Wilderness Chicago Wilderness extends across northeastern Illinois, southeastern Wisconsin and
northwestern Indiana, covering nine counties of the metropolitan Chicago area. Within these
nine counties are approximately 200,000 acres of publicly owned natural areas. These areas
along with other natural remnants in the region are the focus of Chicago Wilderness. The natural
remnants include many natural communities including, woodlands, savannas, prairies, and
wetlands. While the sprawling city contributes to the major threats to the natural communities,
the region retains some of the best examples of remaining prairie and savanna, as well as some
Introduction
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threatened and endangered species. Almost all of the remaining natural areas are already in
public ownership or are being maintained by the private owners. The two main priorities for
Chicago Wilderness are how to manage these remnants and how to connect and enlarge them
through strategic acquisitions to best conserve the region�s biodiversity.
A group of concerned organizations realized that these habitat patches would best be managed in
cooperation with one another, that a regional perspective was needed if the region�s biodiversity
was to be saved. Therefore a group of organizations banned together to form Chicago
Wilderness. Membership in the consortium has always been inclusive, and new organizations
are continually joining. Currently there are 130 members. The mission of Chicago Wilderness
is �the protection, restoration, and stewardship of the natural communities of the Chicago region
through fostering their compatibility with the human communities whose lives they enrich.�
Fish Creek Fish Creek is a tributary of the St. Joseph River, and its watershed lies primarily in the
northeastern corner of Indiana, but also in parts of Ohio. Fish Creek became a conservation
concern when several Federally Endangered mussel species were found.
In the early 1990s, a partnership was formed between The Nature Conservancy, FWS, and
Indiana and Ohio Departments of Natural Resources to address threats to these mussel species.
As soil erosion and sedimentation into the creek is a major threat, the first task was to look for
problem areas of soil erosion within the watershed. Land use in the area is primarily agricultural,
and therefore strategies to minimize soil erosion tend to target farming practices. Great emphasis
is placed on converting farmers to conservation tillage practices. In addition, trees are being
replanted along the creek. The Nature Conservancy feels that they are implementing the plan
agreed to by the partnership, but that the planning meetings are no longer needed. The
collaboration has evolved into a more informal relationship, as they all feel comfortable with one
another�s work.
Meanwhile, a contaminants spill in the area gave the Indiana and Ohio Departments of Natural
Resources money from a settlement to be used to restore the same watershed. This spill
refocused the attention of the Departments of Natural Resources onto another partnership
agreement. They formalized a new partnership through an MOU, known as the Fish Creek
Introduction
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Council, and drafted a restoration plan, which includes many of the same issues and strategies
that the original partnership was and continues to work on. Both efforts are going on
simultaneously to achieve the same goals, although the partnership resulting from the oil spill is
more limited in area and scope and operates under a more formalized structure. The Nature
Conservancy is not a formal member of the second partnership, but often collaborates on specific
projects. The work of both partnerships is very similar and often overlapping, but in this paper
the Fish Creek Partnership refers to the original partnership.
Kankakee River Basin At the turn of the last century, the Kankakee River Basin was dominated by the Grand Kankakee
Marsh. It was the largest inland marsh in North America � 100 miles long and between one and
fifteen miles wide � a 500,000 acre expanse teeming with plant life and wildlife native to
northern Illinois and Indiana. In Indiana, the marsh and river were drained and dredged between
the late 1800�s and 1920, and the Kankakee River, once a 240-mile long, meandering stream,
was straightened and is now only 90 miles long. With the Grand Marsh drained, agriculture
claimed the wetlands, and the price paid was sedimentation of the stream and flooding of the
developing farm and urban landscape.
Today, it is as though there are two different Kankakee Rivers; in Indiana it is an agricultural
ditch, and in Illinois it is a sand-plagued, yet more natural stream. Despite this difference, the
remnants of the Grand Kankakee Marsh are still home to over 220 rare species, including the
federally endangered Indiana bat and the state-listed American bittern, northern leopard frog and
salamander mussel. Nearly the entire eastern population of sandhill cranes depends on the
Kankakee watershed during migration.
As early as the 1930s, efforts were being made to restore the Grand Kankakee Marsh. Although
most of those efforts were unsuccessful, today there are several programs that are now working
towards restoration of this marsh. Many agencies are involved � federal, state, local, nonprofit,
etc. � and there are three main projects underway: 1) the US Fish and Wildlife Service Grand
Kankakee Marsh National Wildlife Refuge, 2) the US Army Corps of Engineers Flood Control
Study, and 3) the Indiana Grand Kankakee Marsh Restoration Project (also known as the North
American Project). Even though these efforts are related, there is not an overall vision, plan, or
program.
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Oak Openings Oak Openings, a region once covered by Oak Savanna with some prairie and wetlands mixed in,
lies to the west of Toledo and is threatened by the expanding metropolis. Several organizations
and agencies, including Toledo Metroparks, The Nature Conservancy, and Ohio Department of
Natural Resources own reserves within the region. These agencies among others have come
together to try to conserve and restore remaining habitat, although the first Oak Openings
working group has been dissolved. It included several development interests and it seemed to
the main facilitator that it was more of an information session with little real progress.
A new group has since formed, composed of just conservation minded organizations that has
developed a Green Space Plan, which outlines parcels ideal for acquisition and restoration.
Currently the members are trying to build public and political support for the plan. In the
meantime, each agency is working on their own holdings to restore certain parts to native habitat.
Other education and advocacy efforts are also underway by a variety of organizations.
Lessons
The rest of this paper describes the various lessons we learned from the interviews. Why is
evaluation of ecosystem management difficult? In addition to articulating the various challenges
to evaluation and the types of behavior that they spawn, we also make a first attempt at offering
some potential solutions. These potential solutions include both activities currently being tried
by one or more of the cases and ideas that we think might be useful.
The lessons learned fall into two general categories. Many challenges to evaluating ecosystem
management stem from the complex nature of ecosystem management itself. Other challenges
are more logistical difficulties or deal with problems of implementing evaluation plans. Table 1
identifies the main challenges found as well as some of the solutions to deal with these issues.
Each challenge is discussed at length below.
Challenges and Solutions
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Challenges and Solutions
Lessons Learned
1. Because there is no universal definition of ecosystem management, there is no �ideal� or �standard� against which to measure success of cases.
2. Knowing when success is achieved is difficult when goals are vague, ill defined, and/or idealistic.
3. Evaluations, particularly cross-case comparisons, must recognize that there are several different phases of ecosystem management, which should be evaluated separately.
4. Because systems, goals, and strategies operate on multiple time scales, measuring progress must account for time lags and out-of-synch strategies.
5. Because systems, goals, and strategies operate on multiple spatial scales, it is difficult to infer regional level success from site level measures of success.
6. Measuring success is difficult because ecological systems are inherently complex and variable, complicating interpretation of data, identification of useful indicators, and disentangling of confounding variables.
7. Indicators of social and process goals are not as recognized by practitioners as are ecological goals, and therefore are often not articulated or measured, making it difficult to evaluate overall progress.
8. When member organizations of ecosystem management have diverse agendas, evaluation is complicated by goals that are extraneous, conflicting, and/or competing with ecosystem management goals.
9. Because successful implementation of strategies may not equate with overall ecosystem management success, this cannot be used as reliable measure of progress.
10. The lack of detectable causal linkages, such as in the case of time lags or simultaneous use of many strategies, complicates evaluation of strategy success.
11. Evaluation is difficult, because, although its importance is recognized, evaluation steps are often not put into practice, leaving little information on which to base progress.
12. Because both fine and coarse scale indicators have limited usefulness, it is difficult to determine the correct scale at which to conduct an evaluation.
1. No Universal Definition of Ecosystem Management
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1. No Universal Definition of Ecosystem Management
Because there is no universal definition of ecosystem management, there is no �ideal� or
�standard� against which to measure success of cases.
Challenges
There are many different definitions of ecosystem management, although many authors agree on
a few core principles. These include: attention to varied and broad spatial and time scales,
systems thinking, consideration of humans as part of the ecosystem, social goals, goals related to
biodiversity and ecosystem functions, integration of social and ecological goals, adaptive
management, and collaboration. Although some of the core principals of ecosystem
management are not highly disputed, there is a lack of a concise definition of ecosystem
management, making it difficult both to have an �ideal� or �standard� measure of success against
which all cases can be compared and to compare cases to one another. Difficulties in evaluation
arise in the many different components in a definition of ecosystem management, including
goals, scale, collaboration, and systems thinking.
Integration of Conflicting Goals The ultimate challenge is how to measure successful balance or integration between conflicting
goals, since that is an integral part of ecosystem management. It is an approach that is supposed
to apply an understanding of how human and natural systems interrelate and incorporate
ecological and social concerns into the same end point. On the ground, this is more difficult than
in theory. For example, Toledo Metroparks must balance a variety of organizational goals to
meet the desires of its many constituents. The Metroparks� board �is very much interested in
preserving natural areas, but they are also interested in providing more recreation opportunities
to the public�. We have to somehow find a balance between public use of areas, because our
money comes from tax levies�� What is a successful balance between soccer fields and restored
prairies? How can such a balance be measured without coming up with a meaningless index?
Or it may be that it is impossible to achieve the stated goals, and therefore no measure of
successful balance.
1. No Universal Definition of Ecosystem Management
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Difficulties with Scale Ecosystem management definitions do not clarify the scale of an ecosystem. Part of most
definitions of ecosystem management is that it occurs on the ecoregion scale. However, what
entails an ecosystem remains unclear, especially from an organizational perspective. Is a
watershed big enough, or is it too big logistically? The cases examined here ranged considerably
in scale. Oak Openings covers a relatively small region defined by the former lake plain area,
whereas Fish Creek is defined by the creekshed, but The Nature Conservancy is considering the
need to tackle the whole watershed of the St. Joseph River. The Kankakee River Basin
represented a large area with several different ecosystems, and Chicago Wilderness defines its
area of coverage by a bioregion shaped by the glaciers, although on a practical basis uses county
lines and encompasses a nine county area. At what scale should restoration take place? Can
efforts on such different scales be meaningfully compared? Challenges specific to spatial scales
are further discussed in issue #5.
Role of Collaboration Collaboration is usually part of the definition of ecosystem management, but is it a necessary
component, and if so, at what level? Due to all the challenges of ecosystem management �
working on a large scale across administrative and disciplinary boundaries, thinking across
multiple dimensions, etc. � collaboration is considered essential to achieve ecosystem
management. But if goals are accomplished in the absence of collaboration, is that unsuccessful
ecosystem management? Does there need to be a central organization to call it an ecosystem
management case, or does a collection of individual efforts working towards similar goals count?
Do the efforts need to be truly collaborative or just cooperative? Often perceptions of good
collaboration are taken as evidence of success, but success should not be assumed. Instead, the
resulting products of the collaboration should also be examined.
It is easy to get a sense of whether agency members feel like they are collaborating with other
agencies more or less than they would like too (e.g. �we do keep an eye on each other and
communicate frequently. Maybe not as frequently as I�d like to see us do,� or �I think that if we
had a more formal group that met 2-3 times a year that would help things become more
streamlined�). However, what is not clear is the extent to which that feeling of desire or lack
thereof for increased collaboration is a good measure of whether the case is successful or not in
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terms of collaboration. For example, TNC Fish Creek is quite content with their current informal
collaboration relationship with DNR: �Other agencies trust what we�re doing out here. There�s
not really a need to get together and discuss. I mean � they know what we�re doing, they believe
in it � just go do it.�
Certainly there are cases where collaboration is not fruitful. A DNR practitioner comments that
the word �team� is �one of those four-letter words that I�m not particularly fond of.� He finds that
when teams became trendy they were over-used and that �there is a lot of work that is much
better accomplished and you are more likely to get it done if you know what your charge is and
just do it. Teams can certainly slow things down.� The level at which teamwork is �needed� to
succeed at ecosystem management is unclear, and therefore levels of collaboration do not
necessarily respond to progress in ecosystem management. Commenting on the different
activities of different organizations, one Kankakee Basin worker comments, �because we have
similar goals and objectives, and no one really cares who does it as long as it gets done.� In the
case of Federal Agencies, some cooperation is mandated by law (sometimes even with specific
legal agreements not to �negatively impact one another�). Is the ecosystem management
requirement of collaboration then fulfilled? When collaboration is required it can lead to
practitioners �not really doing any more than they have to� and thereby not putting together the
best project they could. But what is the best project? Is there an optimal level or form of
collaboration?
Understanding Systems Thinking Ideally, systems thinking should be an integral part of both implementation and evaluation of
ecosystem management. Systems thinking is a method used to see the interconnections between
different activities and outcomes. To achieve ecosystem management goals, there needs to be
synergistic effects between a variety of strategies. An effective evaluation should analyze how
various strategies may be working together to fulfill overall goals. As a Chicago Wilderness
representative commented, when all the different goals including �more than 300
recommendations� are viewed together, �the whole smorgasbord of things� can become quite
overwhelming. In all the cases, many projects that contribute to overall goals are being
undertaken by single agencies in site specific areas. The result is that there may be progress on
many little projects, but this may not be achieving overall success or a good balance between
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goals, or that certain components will be left by the wayside while energy is put into progress in
other components. When they are not organized by categories or into a hierarchy, prioritization
and overall assessment are challenging.
Potential Solutions
An oversight committee to help formulate a common goal between organizations would be
useful in that there would be something definitive to measure progress towards. Recognizing the
need for this, a Kankakee participant noted, �the next logical step would be a bi-state oversight
committee, which is not in place now. It would need to be all the federal agencies and the state
agencies. One of these big, unholy, ungodly stakeholder parties � that�s the only way something
that big is going to happen.� A case cannot be assessed as an ecosystem management case unless
it has a central viewpoint � either an existing organization, or an outside evaluator taking the
ecoregion-wide perspective.
At least part of the solution to measuring success of different components of ecosystem
management is to organize or categorize them in some way. A USFS practitioner expects that
success would have to be measured separately for different kinds of �goal areas that you could
measure,� such as �how did you do in biological diversity? How did you do in meeting
recreational needs? How did you do in terms of meeting a sense of place, if that�s one of the
goals�?� The challenge, then, is figuring out what those categories, components, or sets of goals
are. It may be different for each case, rather than based on a universal definition of ecosystem
management since there is none. A Chicago Wilderness practitioner sees the development of
three categories of indicators: �1) the state of biodiversity, 2) the state of the habitat, 3) the state
of what is driving those habitats.� He feels that if focus on these three areas remains consistent
during evaluation, then the other components (such as specific strategies and social goals) will be
evaluated in the process.
For the question of collaboration, an optimal level or form of collaboration is likely to be
context-dependent and not determined by any definition of ecosystem management.
Alternatively, what needs to be measured is not the amount or degree of collaboration itself
(number of joint meetings, decisions made together, number of years in a partnership), but the
quantity or quality of products of that collaboration or lack thereof (e.g. adding new alternatives
to the forest plan revision, setting up a large scale public education program). In that way you
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would not need to rely on measures of successful collaboration such as �a sense of whether folks
that are outside of the agency feel collaborated with.� Instead you could look at what is the
ultimate goal of working with group x, and are they achieving that goal (despite or because of
�partnerships�). That is the way practitioners in the Chequamegon-Nicolet region currently
measures success of collaborative efforts: ��we got together a group of conservation folks�and
we all came with the same message [to the forest service] that we need a broader range of [forest
plan] alternatives�In the last few forest service meetings that we�ve had they said they would
create a natural range of variation alternative and they�ve also talked about taking the maps that
we�ve put together and using that as alternative too. For me that�s a huge step forward.�
Developing a common work plan across agencies would increase an overall or systems thinking
perspective of ecosystem management success. For an outside evaluator, if such an over-arching
plan did not exist (which it does not currently for any of the five cases, although Chicago
Wilderness is working on one) all the different agencies� strategies would need to be viewed as a
whole to see where each contributes to different ecosystem management components. A regional
perspective can foster integration, prioritization, and balancing of different components.
Chicago Wilderness hopes that �by putting all of [the member�s] individual goals and objectives
together in the work plan, the goal is to have them integrate and to talk with each other.� They
also hope to discern their main priorities and link them strategically to the budget. An overall
perspective at Kankakee reveals ways to alleviate conflicts between competing components: �I
think that all these programs can dovetail together to make a real nice ecosystem in the Kankakee
basin, but there�s a fine dance that has to be made through this. The farmers have to understand
that they�re not going to drain every square inch, and they�re not going to dump it into a river
channel that�s going to whish it all away across the state line into IL�And the environmental
people have to understand that there�s a farm economy and there�s a lot of people living in the
basin that depend on that river for drainage.�
As an overall solution to this problem of measuring against a non-existent ideal, one can take the
approach suggested by Yaffee (1999). That is, that heterogeneity of ecosystem management
definitions is good, and that different cases will be along a continuum of resource management
philosophies. This can be used to our advantage if we can see how they differ in their progress
2. Vague, Ill-defined, or Idealistic Goals
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towards their own goals, and evaluate separately how close their goals might come to different
definitions of ecosystem management.
2. Vague, Ill-defined, or Idealistic Goals
Knowing when success is achieved is difficult when goals are vague, ill defined, and/or
idealistic.
Challenges
In many cases, the ultimate goal of an ecosystem management project is to conserve or restore an
ecosystem. Other goals are similarly idealistic: �to preserve, restore and enhance all animals and
plants that are endangered or threatened with becoming endangered; restore and preserve a
natural diversity and abundance of flora and fauna; perpetuate the migratory bird resource; and
provide the public with additional high quality wildlife-dependent, public use, and environmental
education opportunities� (as said by the US Fish and Wildlife Service for the purpose of the
Kankakee National Wildlife Refuge). A different agency in the Kankakee River Basin hopes to
restore the river back to its free-flowing state. Vague and idealistic goals abound in ecosystem
management projects, and this is problematic for measuring success for many overlapping
reasons. 1) It is difficult to measure progress towards ill-defined goals. 2) There is a tendency to
monitor strategy implementation rather than overall progress. And 3) measuring forward
progress is hard because many projects are doing all that they can to merely prevent further
destruction. In other words, the goals are too idealistic.
Unachievable Goals In many cases, the way the goals are framed makes the task of measuring progress to attain them
difficult, because the goals are too vague, too broad, or too idealistic to achieve. For example, a
common goal of ecosystem management is to sustain viable populations. As a Fish Creek
participant said about the freshwater mussels: �We often don�t know what a �viable� population
is.� He goes on to say that their strategies are good for the mussels, but the population density
might be so low that it would be impossible to re-establish a viable population. As a result of not
understanding what is meant by the stated goal, practitioners often rely instead on coarse-scale
assessments, which may be laden with assumptions. As seen in the Fish Creek Case, �we�re
measuring success basically by acres in conservation tillage, acres brought out of cropland,�
2. Vague, Ill-defined, or Idealistic Goals
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even though their stated goal is in terms of mussel populations. Although Fish Creek
practitioners use biological monitoring data collected by contractors, their coarse measures of
farming practices are a more accessible evaluation metric. Similarly, a project leader in the
Chequamegon Bay Watershed case felt that ultimate success was �probably hard to measure, but
we could just assume that good forest management on these areas is going to lead to good water
quality downstream too.�
Implementation Versus Progress There is a tendency to monitor implementation of strategies rather than progress towards overall
goals. Success of ecosystem management can be amorphous ecological concepts or changes in
people�s attitudes or ethics (e.g., sustainable mussel populations, support of the public, harmony
among stakeholders), making their measurement difficult. However, measures of progress in
implementing strategies seem to be concrete and measurable. For example, interviewees
mentioned number of acres in conservation tillage, increase in vertical structure of the forest, and
number of people visiting a demonstration plot as indicators of progress. As summarized by a
Fish Creek participant, �[measuring success] is sort of hard because the strategic plan has goals
in it like �control soil erosion to tolerable levels for the ecosystem.� Nobody knows what that is.
We know that controlling soil erosion is good for the watershed, but nobody has yet figured out
what tolerance levels are for the animals that live in the stream.� This makes evaluation of
progress towards goals difficult, especially since strategy success may not equate with overall
goal success. (See issue #9)
Running to Stay in Place Sometimes ecosystem management projects are doing all that they can to prevent further
destruction of the landscape, making it very difficult to measure forward progress. Facing
increasing development in the Oak Openings region from the growing city of Toledo, an Oak
Openings leader expresses this frustration: �Sometimes we feel like the dike is leaking in 50,000
holes and we�re sticking our fingers in all over the place�it�s just a reality that there�s so much
impact on the landscape, it�s just enormous.� Partners in Oak Openings are discussing various
strategies to save natural areas in the region from being paved over. This is progress towards
mitigating threats, but not necessarily reflective of the goal to restore oak savannas.
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Possible Solutions
In general, ecosystem management projects need to clarify and articulate specific goals or even
objectives within goals. Without a clearer understanding of the goals themselves, success will be
impossible to attain. In developing a conservation design scheme, which articulates objectives,
indicators, and thresholds for selected conservation targets, Chicago Wilderness is well on their
way. �We have been using the Recovery Plan for the vision, the overall vision of increasing and
improving grassland bird habitat. And then the next part of the design is to say, ok - what is our
more specific goal?� Chicago Wilderness is commencing with three conservation targets,
grassland birds, savanna herps, and woodlands but eventually hope to expand the process to
include all of the targets.
Projects need to use all available information to make vague goals clearer and thereby measures
of attaining those goals clearer. For example, a US Forest Service leader for the Chequamegon-
Nicolet National Forest Case explains that one of their goals is to bring the land base closer to a
�range of natural variability.� That is, they want to get closer to a historical state of the forest.
Since it is unclear what this state is exactly, they are using all available ecological information �
from paleoecological to climate data � to transform this vague concept into real ecological
objectives. To get at what that goal is exactly, he says �We�ve got some estimates of range of
natural variability that came out of research work from universities in the area�interpreting the
general land office notes, survey notes� We�re using the data that we have available from the
1830s along with some pollen data, archeological information and other things we have for
climatic conditions and knowledge of how the glaciers moved � all of this comes together to
make an estimation of what we think was the range of natural variability across a long period of
time�We�re trying to get a sense of that to get closer to the systems that the species that are here
now evolved under � how close can we estimate that. We�re still working on that.�
Ultimately, success is better measured incrementally, as a process of moving in the right
direction (change over time) versus reaching some particular point. Chicago Wilderness uses a
process called �conservation design� to break goals into specific objectives with thresholds.
�The way I conceptualize it (conservation design) is that it kind of gives teeth or creates a
blueprint, gives specifics for how to do the management and how to tell if you are successful.�
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In essence, conservation design is a way to start measuring progress towards goals, by defining
specific objectives and thresholds within each goal.
The problem of working hard just to slow deterioration is a common one, and it needs to be
addressed in evaluation efforts. Lofty goals can serve to motivate projects. However, it is often
useful to couple these with modest steps to show progress along the way. In some cases the best
sign of progress may be a measure of threat mitigation rather than forward progress towards a
idealized goal.
3. Multiple Stages of Ecosystem Management Projects
Evaluations, particularly cross-case comparisons, must recognize that there are several different
phases of ecosystem management, which should be evaluated separately.
Challenges
Some ecosystem management projects have been in existence for several decades, others have
just recently come together, and still others are merely ideas on paper. There are milestones to
be noticed at each of these stages, whether the project is just in the planning stages, whether it is
working on implementing strategies, or whether it is trying to maintain some level of ecosystem
management. Furthermore, ecosystem management efforts often entail numerous smaller
projects, each of which has distinct stages that can be evaluated separately. Clearly measuring
success is dependent upon the stage of the project, and evaluation will need to be an on-going
process. Conservation of ecosystems is not a simple intervention that can then be evaluated; it is
an on-going effort. It is particularly important to acknowledge the different stages when
comparing successes across cases. Challenges to evaluation associated with different stages
include: 1) what is important to the success of a project may depend on the stage of the project;
2) measuring success often leads to the evaluation of implementation strategies rather than the
results of the strategies; and 3) different aspects of a project can be at different stages.
No Universal Indicator of Success Different things may be important to the success of a project depending on the stage of the
project. As exemplified in the Fish Creek Case, a partnership that may have been important to
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the success of planning may not be as important for the actual implementation. �It was really a
useful partnership to get it started�and then once the project was established, the credibility and
trust was there - you know, there was not a big need for project partners to meet; it [grew into]
more of an informal thing over the phone.� So a snapshot assessment should not include that the
lack of collaboration is a failure, because it was used when needed and they still partner when the
opportunity arises, although it may bring into question whether or not the approach is ecosystem
management. Similarly, collaboration should not necessarily be taken as a sign of success. Oak
Openings members are involved in several formal and informal groups, but the initial working
group has been dissolved. Does this mean that the first working group was not successful in its
mission? Or is this a natural succession of stages? Furthermore, because Oak Openings and
Fish Creek are at such different stages, comparisons between the two should only be made with
caution.
Measuring success is difficult because it is hard to know what is needed at each stage of the
project. Moreover stages may be iterative, so successful completion of one stage should not be
taken as an indicator of progress in the next. For example, there is often a disconnect between
the creation of a management plan and the actual implementation of the plan. Measuring the
success of a management plan is complicated because while the mere existence of a management
plan or a restoration plan may be a sign of success, it cannot be considered a complete success.
This is seen in the Chicago Wilderness Case: �The purpose [of the meeting] last November was
to try to figure out how to implement the Recovery Plan� Ok, now we�ve got this lovely
Recovery Plan - what do we do with it?�
Successful Implementation Versus Successful Strategy A consequence of having several stages is that measuring success often leads to the evaluation of
implementation of strategies rather than the results of the strategies. For example, an initial step
in most ecosystem management projects is to set up an oversight group comprised of
stakeholders. The intention of such a group is to get people working together to accomplish
agreed-upon goals. In many instances, when questioned about measuring success, people will
say that one measure is that the group actually got together � not what the group eventually
accomplished. The Oak Openings Project is a case in point � success is getting people to work
together (not necessarily what they eventually achieve together). �In fact, that�s one of the goals
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of this campaign - to provide more of a formal relationship among these groups where we can
agree on some common goals - Just the whole process of participating in this together.�
However, implementation of a strategy does not necessarily mean that the strategy was
successful in achieving the desired goals.
Strategies at a Variety of Stages Evaluation efforts should acknowledge that there are various stages that exist within the different
projects. In the Kankakee River Basin Case, different organizations are at different stages in the
overall process to restore the watershed. For example, the Grand Kankakee Marsh Restoration
Project has been working on implementing their goals since 1993, the Friends of the Kankakee
have been in the planning stage for just about a year, and the US Fish and Wildlife Service is in
the very early planning stages for a national wildlife refuge, i.e., they are working to getting the
refuge off paper and onto the ground. Each of these efforts will lead to improvement of the
Kankakee River Basin, but evaluation needs to take into consideration the different phases that
each subproject is in. Again, there is a need for systems thinking to link all the activities
together.
Possible Solutions
Practitioners and outside evaluators need to recognize separate phases within projects as well as
the different meaning of success at each. This is apparent to a Nature Conservancy
representative in the Fish Creek Case: �I would hope that someday we are at a point where we
can begin to step away from the actual implementation of things� I would hope that 15 years
after that, it begins to turn more into a monitoring type of thing� I guess the ultimate success
would be seeing native species repopulating the larger St. Joseph River. That�s probably too
ambitious, [but] that�s ultimate success.� As a result, evaluation processes should also have
multiple stages.
Creation of different success measures for each stage of a project is a useful solution. For
example, participants in the Chequamegon-Nicolet case developed criteria to evaluate the
planning phase, including the following. 1) Is there a contribution to unique and significant
features? 2) Is there a contribution to social vitality? 3) Is there a contribution to economic
vitality? 4) Are we aiming for ecosystem sustainability? 5) What is the administrative capability
� are you looking at things you can possibly accomplish or are you getting beyond your ability to
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manage it? 6) How is the timing of things � how big and how fast of a change is suggested, what
is your social responsibility to the community? 7) Is there evaluation and adaptability � does the
plan include an evaluation system that would let you know whether strategies are working? Is the
plan put together in a way that you can adapt it and make course corrections? Furthermore,
successful implementation of that plan would be measured by checking progress towards goals,
and successful maintenance would mean you are keeping the status quo � i.e., not letting it slip,
meeting the demands of new stresses, and revising where and when needed. Such criteria can
help a project measure success no matter what stage they are in.
Along the same lines, one could break up the measures in terms of proximate and ultimate
success. Using the Fish Creek Case as an example, a proximate measure of progress would be
the number of acres that have been converted to conservation tillage, whereas an ultimate
measure of reaching a goal would be whether or not water quality improved or the diversity of
native fauna increased. The Fish Creek Council focuses on water quality measures, and The
Nature Conservancy considers both types of measures.
4. Multiple Time Scales
Because systems, goals, and strategies operate on multiple time scales, measuring progress must
account for time lags and out-of-synch strategies.
Challenges
Goals are often visions for the future state of things; strategies are often short-term attempts at
reaching long-term goals. The systems in place to implement the strategies to reach those goals
are often delayed by bureaucratic or logistic realities. The fact that just about everything works
on different time scales leads to many problems when trying to measure success. 1) It can be
difficult to evaluate the effectiveness of a strategy within an evaluation�s duration or even a
project�s lifetime because of time lags in the system. 2) Projects tend to move forward before
monitoring programs are in place. And 3) sometimes one strategy needs to finish in order to see
the success in another strategy.
Time Lags Time lags create difficulties in evaluation because the more time that elapses between
implementation of a strategy and its effect, the harder it is to find causal relationships. And with
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most strategies in ecosystem management, a lot of time is needed to see results. For example,
ecological results often require several years, or even decades, to become apparent. In the Fish
Creek Case, this problem is seen by the connection between conservation tillage and water
quality. When asked whether they can see changes in the water quality that correlate with the
change in tillage, the response was: �I wouldn�t say that�We hope they are [related]. I think it�s
such a long-term change though.� Forest regeneration is another example of a strategy that may
take years before anyone can determine if the regeneration strategy met biodiversity goals. As
put so aptly by a Chequamegon Forest worker, �There�s really very little that you change in a 10-
year period. Take 150 and I could do something.� Given these ecological constraints, ineffective
or insufficient strategies may continue to be used for long time periods and never really achieve
attended goals. This means that strategies are followed, even though they have not necessarily
been proven effective. And reciprocally, it may take years to demonstrate that a given strategy
was successful.
Not all time lag issues are ecological. Most of the work in ecosystem management takes time,
or as one person said, �It takes a long time to move a mountain in the direction you want to move
it.� This is exemplified by bureaucratic operations in the Kankakee River Basin Case. Federal
interests have been involved in the project since the early 1990s � the idea for the national
wildlife refuge has been on the table since 1996 � yet, nothing has happened. As a Fish and
Wildlife Service leader stated, �Well, we had a political hoop to jump through.� Forward
progress on the refuge plan has been forestalled for a number of reasons.
Lack of Monitoring Programs When projects do move forward, it is often before monitoring programs are in place. Without
monitoring from the beginning, it is nearly impossible to know the baseline status of the resource
or to be able to measure the success of any early strategies. Knowing the baseline from where a
project is starting is crucial to the eventual measures of success. For example, Chicago
Wilderness estimates that it will take three years to develop a regional database. The regional
database will provide an invaluable set of monitoring data, but how does one account for the
many things that are going to occur on the ground before the actual database can be configured?
Measuring success is difficult in this example because it will be tricky to measure the early
progress of regional strategies.
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Interconnected Strategies Sometimes one strategy needs to be finished before success in another strategy can be seen. In
many cases, public trust is essential for progress to occur. In the Kankakee River Basin Case, the
US Fish and Wildlife Service knows that they cannot progress without first garnering the support
of the public. �You can sit in a room with thirty people and explain until you are blue in the
face, but until they have personal contact with you, and they realize that you are an OK person,
[it does not feel like progress]. So, I look at progress as [making] little lists of who I�ve got to
contact, and every time I contact a person and get good information out to them, I feel like that�s
progress. Will it achieve success? Who knows what their attitude really is?�
Similarly, sometimes strategies are modified before causal links can be determined.
Organizations often change strategies for a variety of reasons. For example, a variety of
restoration activities are used to restore savanna and prairie habitat in Oak Openings. The land
managers discuss perceptions of effects of these strategies informally and proceed to make
modifications on these informal discussions. �Oh we discuss it constantly, so we are constantly
changing our management practices.� Constant change of strategies challenges evaluation
efforts, because often not enough time has elapsed to see the effects of any one strategy.
Generally the modifications are not based on any evaluation data.
Possible Solutions
An essential aspect of measuring success is knowing where the project started and whether or not
it has made a forward progression toward accomplishing its goals. Without monitoring systems
in place from the outset, success cannot be measured. One way to achieve this is to create a
game plan for gauging success. This is exemplified by the Army Corps of Engineers in the
Kankakee River Basin Case: �The way that we gauge that we are on target is that at the outset of
the study, we created a task oriented network analysis... we created a fairly detailed game plan.
We look at where we are with that game plan � where we are behind and where we are ahead and
where we are right on, and the progress that we needed to make by now to finish by August of
next year, and as long as we�re following that original plan, getting the answers that we need
along the way, then we are going to presume that we are not going to have any real shockers in
the future and we�ll stay on that plan.�
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Measures of the same strategy will mean different things depending on the context. When asked
about evaluating success over the past 10 years and over the next 10 years, a Kankakee leader
said: �I think it�s easy to do. If we were focused on the Kankakee River in IL, it would be
different because in IL it�s a natural river; it�s a valuable resource. There�s already an active
recreational industry around it; the local economies get a lot of money from the Kankakee River.
In Indiana, where the river has been dredged and the marsh dried, it�s exclusively a liability. So,
we are starting from ground zero, and anything at all is progress. So, even if everything stops
right now, the Kankakee Marsh County Park in Lake County is 2,000 acres of wetlands, and 5
years ago, it was only 500 acres. So, even small definite progress shows big results.�
In addition, short-term and long-term goals need to be measured on different time scales and
with different emphases. For example, in the Fish Creek Case, measuring the success of whether
or not more farmers are signed up in the conservation tillage program will be very different from
whether or not mussels are able to repopulate sub-watersheds.
Another solution is to look at progress rather then success. �A lot of that change will take place
over many decades, and the primary thing you can do then is find measures or indicators of
change in the right direction.� This is the case with Chequamegon-Nicolet National Forest as
with several other cases. Small changes in the right direction should be accounted for when
measuring the success of goals that may take many years to realize.
5. Multiple Spatial Scales
Because systems, goals, and strategies operate on multiple spatial scales, it is difficult to infer
regional level success from site level measures of success.
Challenges
Dealing with various spatial scales is an ongoing problem for ecosystem management projects.
Defining the scale of the ecosystem is difficult in and of itself, as projects range from the scale of
a single watershed to a national forest to an ecoregion. Because most strategies are implemented
and organizations operate on smaller scales than that of the ecosystem management project,
evaluation at a regional scale is difficult for three reasons. 1) It is difficult to scale up monitoring
data and information from the site to the regional level within cases. 2) The importance of
regional level evaluation is not always recognized, and 3) spatial scale issues make it difficult to
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define causal linkages. Additionally, cases operating on vastly different scales may not be
comparable in cross-case analyses.
Scaling Up It is hard both to conceptualize what needs to be evaluated at the larger scale and to logistically
amalgamate the site level information to represent the regional scale. In general, goals are often
at the regional level but strategies are intended for the site level. For example, Chicago
Wilderness contains numerous smaller natural areas, housing a variety of community types, and
much of the work to restore these communities is on the ground restoration, although the
coalition views and makes recommendations about all these areas as a collective. One Chicago
Wilderness practitioner commented, �We don�t have a really unified view of the ecosystem that
we can report on conveniently.� In addition, it is hard to evaluate the system at both the site and
regional level: �Again we are struggling with that� because the site level is the level at which
people will be doing the monitoring, and they have to be able to say something about that site for
the people managing that site, but then we also want to be able to extrapolate up to the region.�
The Oak Openings Case is dealing with similar issues in that each of the many townships in the
region makes their own local decisions, making it difficult both to implement region wide
strategies and to evaluate the status of the region. As a result, measuring success in such cases is
hard to comprehend. In expressing frustration about success measures after a planning process,
one participant commented, �one of the things I wanted to get us to look at was measures of
success of the whole project versus measures of success of what we do specifically here. And
that is really hard.�
Importance of Larger Scales The importance of regional level evaluation is not always recognized, even when site level is.
Evaluation on a site level may have direct benefit to a manager, but seeing the benefits of
working for a region-wide evaluation are less obvious, given the costs involved, because it does
not directly inform a manager about their work. Chicago Wilderness is making an effort to
recognize the importance of and design regional level evaluation.
Uncertain Causal Linkages Spatial scale issues can also make it difficult to determine causal linkages. When strategies are
applied on a site basis, but evaluation is occurring across the region, it is difficult to determine if
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a regional goal has not been met because the strategy is not working or because it has not been
fully implemented at every site, or it is working differently at different sites, etc. As a member
of Chicago Wilderness noted, �It is a lot easier to conceptualize at the site level, because you
can say well we did not burn enough last year, we need to burn more this year. But at a region
you have to figure out how to know where the problem is - we did not reach it because county x
or county y, and we have not really figured that out yet.� Other difficulties in determining causal
linkages are discussed in section 10.
Possible Solutions
One way to deal with spatial scale issues is to keep monitoring at the site scale and to create a
database that can be used at the regional level. In addition, regional level measures are needed.
Chicago Wilderness is trying to tackle this by creating a central database into which everyone
can enter their data: �If each county puts in their own data, suddenly we have regional
information.� �The database would be comprehensive in terms of monitoring data and research
data, and all kinds of information so that everyone can go into one stop shopping.� And the
result is that �maybe we end up knowing more than we think we know because everybody is
sharing.�
It is also important to realize that measuring success at a regional scale may include several
successes at smaller scales. Additionally, being able to accomplish one piece of the bigger
puzzle may be one means to measuring success of the overall picture. In the Kankakee River
Basin Case, the Corps has one issue to deal with � flood reduction for the entire basin. If this is
accomplished, several other aspects of the ecosystem will benefit. It is one piece of the larger
restoration of the watershed, but the success of that piece is essential. For the Corps, measuring
success �is real easy. It doesn�t have anything to do with what the FWS is doing with the refuge,
or what any other particular special interest group may be looking for, whether they be
sportsters, fishermen, or people who are out to restore or protect the environment, farmers who
are looking to maximize croplands� while I have to deal with all of those folks, my assignment
is not so broad�I am trying to accomplish [one] particular thing with the basin as a whole �
flood reduction.�
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6. Complex Ecological Systems
Measuring success is difficult because ecological systems are inherently complex and variable,
complicating interpretation of data, identification of useful indicators, and disentangling of
confounding variables.
Challenges
Measuring success of the ecological components of ecosystem management is a challenge,
because ecological processes themselves are so complex and difficult to track. Ecological
complexity and variability 1) call into question the reliability and interpretation of ecological
data, 2) confound measures of the direct effects of certain strategies and 3) make it difficult to be
certain which variables best represent a given ecological process or phenomenon. A common
but somewhat problematic response to these challenges is to abandon attempts to measure
ecological phenomenon accurately, and to rely instead on coarse-scale assessments of success,
which may not be sufficiently informative for adaptive management.
Natural Variability Natural variability over time and space may make practitioners feel that ecological data that they
or others have collected is unreliable or too difficult to interpret. For example, variations in rain
events preclude practitioners at Fish Creek from making conclusions on water quality at present.
��it just seems like the variations you get from year to year � different things are going to affect
the quality of the system, so you just can�t take 1 or 2 years worth of data and draw any
conclusion.� Natural variation is, however, a part of this and any system, and thus a
comprehensive assessment of success would have to take the effects of this kind of variation into
account.
Ecological variants that do not fit the expected pattern may reveal important information, but
require an additional (and often expensive) study to understand. At Fish Creek, The Nature
Conservancy is doing riparian zone reforestation to presumably help the mussel populations, yet
they found that �one of the densest populations of mussels happens to be in a spot where there
are few trees, in narrow riparian area. So, could just be the cold water above, who knows? I
don�t know, it�s a tough thing to judge.� The tendency may be then to ignore ecological variants
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and assume that strategies are meeting the needs of most cases, rather than looking at the effect
of other ecological variables, such as local land-use, that might explain their observation.
Furthermore, because ecological variability is so complex, even the scientists collecting data for
land managers may argue on its interpretation. This only serves to further frustrate practitioners
with ecological variability since what they really need are best guesses. For example, with
respect to invertebrate and fish communities in Fish Creek �our scientists are arguing over
whether there was some problem with data collection or data analysis because some scientists are
saying no it didn�t decline and other scientists are saying yeah it did.� The result is that land
managers do not rely on ecological data and instead just keep doing what they feel is right.
Confounding Variables It is difficult to know the direct effects of a strategy when other variables are not controlled for.
Because of the large number of variables that contribute to any ecological phenomenon, a
controlled experiment with replication is needed to focus on the effects of single variables.
However, most practitioners, because of lack of organization, funding, or experience may not use
the scientific method to test, for example, the effects of prescribed burns and herbicide on prairie
restoration. As described by a land manager working to restore savanna in Oak Openings, �It
probably should/could be scientific method� but it is a lot of what I affectionately call trial and
error, but with land management techniques.� Lack of scientific methods will likely lead to
ecological puzzles: �and sometimes we have some puzzles like we do some burning and
sometimes we alter from spring to fall burning to favor forbs over grasses and sometimes we are
not really sure what is happening in some of the things. We just give it time.� Even though lack
of time is sometimes given as a reason for not setting up controlled experiments, the time
investment required to reach a conclusion with controlled experiments may be less than using
trial and error, especially since different ecological regions may not respond to treatments in the
same ways.
Representative Indicators Because ecological processes are complex, it is difficult to determine which variables or
indicators best represent a process. A lack of appropriate indicators in turn makes measuring
progress towards ecological goals problematic. At Chicago Wilderness they are attempting to
establish �indices that people believe are representing what you are trying to represent.� For
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example, they are currently working on developing indices of grassland bird populations, which
is involving looking at currently used measures and asking practitioners to refine them by
evaluating what would be useful and what would not be. There is often no accepted measure of
important ecological attributes, because the direct cause of those attributes is unknown. For
example, vertical structure is an indicator of forest health used by the USFS in the Chequamegon
Forest. Whether this variable has ecological significance or captures the necessary aspects of the
forest health goal is unclear. Similar problems exist for measures of �sustainable� and �viable�
populations.
Coarse-scale Measures Ecological complexity may lead practitioners to abandon efforts to measure it accurately. If
practitioners find ecological data uninformative or too daunting to make sense of, it may lead
them to abandon efforts to monitor ecological processes accurately or comprehensively, and to
rely instead on very coarse-scale assessments of ecological success, such as forest is better than
crops, or more species better than fewer (as discussed in lesson #12). These assessments may
not provide adequate information to judge whether strategies are in fact improving ecosystem
health and thus would fail to alert practitioners of the need to change strategies.
Possible Solutions
The difficulties associated with ecological variability over space and/or time may be reduced by
looking at overall trends. To deal with variation over time in ecological data, TNC Fish Creek
measures progress by looking at trends over several years as opposed to any point in time. �So
you just can�t take 1 or 2 years worth of data and draw any conclusion. There�s a trend we hope
to see vs. one year�s data�right now we�re just trying to build that trend. Taking the annual data
and plotting it out.� Oak Openings also looks for trends, �Sometimes we are not really sure what
is happening in some of the things. We just give it time. I would say it would not even be
unusual to give something like 5 years.�
Similarly, variation over space could be dealt with by looking at trends over several sampling
points. Data collected by different agencies could foster this, if collaboration has led to those
data, such as inventory of specific species, being collected in a similar fashion, as in the case of
DNR and USFS in Wisconsin. For example, �occurrences of rare plants and animals, outstanding
examples of natural communities and aquatic features throughout WI� are collected.
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Application of the scientific method or even meta-analysis of existing data may clarify causal
relationships. More applications of the scientific method to evaluate strategy effects would be
helpful, although even in controlled experiments there is some level of statistical uncertainty to
deal with. Adaptive management would need to incorporate some decision-making criteria (a
threshold level of effect or number of times a result was obtained) for whether they would
change strategy based on results. Where agencies themselves were not able to engage in
controlled experiments, meta-analysis of existing data could prove very useful (see value of
evaluation, lesson # 11).
Tapping into existing scientific knowledge would increase understanding of complex ecological
processes and phenomenon. This would help both with understanding treatment effects and
determining appropriate indices of ecological phenomenon. On the other hand, waiting for all the
ecological knowledge to accrue is obviously not a solution. Chicago Wilderness is trying to build
on indices already in use by specific groups or counties, and where none exists to start with
educated guesses. It needs to be �an evolving iterative process that will be refined over time as
people are able to fill in those blanks.� Working with universities provides some help with
knowledge, but has definite limitations, namely different agendas and short-lived graduate
student projects.
7. Lack of articulated social and process goals
Indicators of social and process goals are not as recognized by practitioners as are ecological
goals, and therefore are often not articulated or measured, making it difficult to evaluate overall
progress.
Challenges
When asked about measures of success and goals, almost all of those interviewed immediately
jumped to ecological goals � numbers of acres protected, restored hydrology, preserved
biodiversity, etc. Rarely were social and or process goals even articulated in the interviews,
which is telling of the situation in the field. Without the articulation of social and process goals,
evaluation efforts are challenging, because 1) it is difficult to determine what to evaluate with
respect to these areas; 2) when goals are mentioned, they tend to be fuzzy concepts, and 3) the
lack of such goals illustrates a lack of systems thinking, making it difficult to conduct a system-
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wide evaluation. Lack of articulated social and process goals leads to two resulting behaviors: 1)
a reliance on gut instincts instead of measured results, and 2) processes that may lead to
undesirable results because they were not evaluated. Furthermore, successful implementation of
social and process goals are often needed to achieve ecological goals, and such incremental steps
could provide a way of measuring progress.
Lack of Social and Process Goals Most organizations within ecosystem management cases are more ecologically oriented, and
therefore ecological objectives are frequently given priority over social and process objectives in
collective work. It is difficult to evaluate progress towards something that is not considered a
goal. However, even though many ecosystem management projects have goals such as
ecological integrity or health, the ecosystem can not be separated from its human components.
Therefore social well-being issues are often important to ultimately achieve the long-term
ecological goals and should be worked on and evaluated.
Fuzzy Concepts When social or process goals are mentioned, they tend to be fuzzy concepts that are not easy to
measure. For example, Fish Creek workers know that establishing trust with the farmers is an
important component. As stated by one member, �Being in such an agricultural setting, the
farmers � it takes a long time to get their trust, and to finally get their trust is quite an
accomplishment.� But how should something like trust be measured? Currently in Fish Creek,
it is being measured by instinct � how well the project managers feel they know the farmers.
Collaboration is also often measured through instinct. According to a Chequamegon participant,
�One [measure] is just my sense of whether folks that are outside of the agency feel collaborated
with.� Even though he feels he has a good sense of the public, the same respondent admitted,
�But if I was able to know that�we had a good sense of harmony amongst the pieces, that
would be useful.�
Many social constructs are difficult to articulate, but this does not mean that appropriate
measures and indicators should not be developed. Instead many practitioners rely on their
instincts to measure progress. A Chequamegon worker noted, �my gut reaction is that the more
people get educated about forest management, the better management is going to go on in the
watershed.� While many ecosystem management practitioners are trained in the skills of
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ecological methodology and testing, fewer have skills in social science experimentation.
Linkages between, for example education and watershed management could be demonstrated if
the appropriate mind-set and skills to carry out the work existed. This lack of commonly thought
of ways to measure social/process success means that they get short shrifted relative to
ecological monitoring. While many ecological variables are measured for the sake of monitoring
with no a priori connection to evaluation questions, measures of social and process indicators are
not even collected in monitoring schemes. Such a mindset is often not present. However, there
is some evidence of improvement. Oak Openings implemented a public awareness campaign,
and then hired a consultant to conduct an evaluation of its affects.
Benefits of Well-Defined Process A lack of process goals can lead to haphazard implementation of strategies, because there is no
overall plan for how the process should unfold. The lack of planning procedures can make
measuring progress difficult, because incremental steps are not identified. For example, the
project coordinator for Chicago Wilderness recognizes the need to integrate various efforts
together if regional goals are going to be achieved. While it may seem obvious that
communication is the key for linking people and projects together there is not yet an articulated
process for improving communication. �There definitely has been communication among
people. Sometimes it is because they happen to sit on more than one working group, and it is
sometimes because I am forcing them to have conversations or whatever it might be.� This
haphazard approach makes it difficult to determine what strategies to meet
communication/integration goals might be effective.
In the atmosphere of urgency surrounding most conservation efforts, the predominate attitude is -
just get things done, doesn�t matter how. While this attitude may be a benefit in some situations,
the lack of well-thought out processes can lead collaborations down undesirable paths. In order
to help its member agencies implement needed work, Chicago Wilderness started infusing
money into various efforts. This strategy had the unintended effect of causing members to lose
sight of the overall goals and instead look to Chicago Wilderness for project money. Leaders of
the collaboration are now working to change these perceptions. As noted by one, �I am trying to
almost change a mindset of how a lot of the members think � oh we will just go to Chicago
Wilderness for money � and they don�t really get what we are trying to do here.�
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Possible Solutions
Suggestions to deal with this complication cover a broad range. At one end of the spectrum is
heightening awareness of the importance of social and process goals and how measuring their
progress can be a predictor of overall success. When asked what she would see as a good social
measure of success, a member of Oak Openings replied, �My measure of success from the social
level would be that when there is a public hearing that people would attend and start speaking up
for quality of life issues which would include natural areas.� Getting to the point where people
recognize that ecological issues and social ones are interconnected is an important goal for
ecosystem management.
At the other end of the spectrum is an understanding of the value of qualitative evaluations.
While there might be a tendency to develop some numerical indicator to parallel some of the
ecological ones developed, such an indicator may not be very useful. A member of the
Chequamegon-Nicolet project noted that �to boil that down to a number, I don�t know what that
would mean to me.� It is unlikely that a social or processes index would be useful, except maybe
on a broad comparative scale (e.g. all the national forests) where narratives would be impractical.
Within a case qualitative information may be more useful for improving upon strategies. As is
true with all indicators, attention must be paid to interpretation. For example a change in
awareness does not necessarily indicate a change in behavior.
A first start to aiding evaluation is the inclusion of social and process goals within ecosystem
management plans. Identification of goals makes tracking of progress towards those goals
easier. Providing a list of sample easy-to-measure goals may help agencies think about these
issues.
8. Extraneous and Conflicting Goals
When member organizations of ecosystem management have diverse agendas, evaluation is
complicated by goals that are extraneous, conflicting, and/or competing with ecosystem
management goals.
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Challenges
Evaluation of ecosystem management cases where member organizations have goals beyond the
scope of the ecosystem management project is difficult for three reasons. 1) The sub-
organization working towards ecosystem management goals may be overwhelmed by larger
organizational goals. 2) Indicator selection may be complicated because not all organizational
efforts contribute towards the ecosystem management goals. 3) Organizations become spread so
thin that various project may have insignificant contributions to overall goals. 4) Organizations
may have other goals which are incompatible with the ecosystem management goals.
Small Effort in a Big Pond A branch of a larger organization may be working very diligently, and apparently effectively
towards ecosystem management goals, only to be thwarted later by the larger organization�s
overriding decisions, budget processes, etc. Maumee State Forest has a hard time carrying out
many of its initiatives because its parent organization, Ohio DNR, has many other initiatives
underway in the state. Because land near Toledo is expensive compared to the rest of the state,
acquisition funds are often spent where land is much cheaper. The result is that the State Forest
has difficulties securing necessary funds for these innovative projects, because Oak Openings is
only one of many DNR priorities. Success to them is just initiating a project.
Complications with Indicator Selection Indicator selection can be complicated by organization goals extending beyond the ecosystem
management project. For example, a prime strategy for Oak Openings is to acquire land, and
Toledo Metroparks is efficient at securing dollars to do so. However, dollars dedicated to land
acquisition would be a misleading indicator for Oak Openings, because Metroparks uses the
same fund to also purchase land outside of the Oak Openings region. Many of the larger
organizations and agencies � The Nature Conservancy, Fish and Wildlife Service, EPA, that are
involved in these ecosystem management projects are also involved in similar activities outside
of the region, therefore, care must be taken in interpreting measures taken at the whole
organization level.
Small Token Projects Organizations can have their resources stretched very thinly when they get involved in too many
projects, making it is hard to do many things well. For example, the Maumee State Forest wants
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to contribute to Oak Openings goals. Thus, they have initiated a prairie restoration project, but
the scant resources available to put into this project in light of all the other work that needs to get
done within the means of their mission means that this is little more than a token effort. In these
cases, project initiation should be interpreted with caution, as it may never be completed or it
may be on such a small scale that it can not contribute significantly to the regional effort.
Incompatible Goals Sometimes organizations pursue multiple goals that may not be compatible, which ultimately
impinges their ability to fully reach one or more of these goals. The Toledo Metroparks is very
involved in the preservation of the Oak Openings Region, but at the same time it must serve as a
recreation facility for the public. When asked if there is a balance between recreation and
preservation, the answer was, �No. They are incompatible. They really, are, ultimately they are
incompatible.� The issue of goal compatibility relates back to the definition of ecosystem
management (issue #1). Does ecosystem management need to include both social and ecological
goals? Do they need to be compatible? Some practitioners feel that a balance between social
and ecological goals cannot be achieved. Also how would one compare a case emphasizing
social goals versus one emphasizing ecological goals? Is one doing better than the other?
Possible Solutions
There are several different ways to approach the complications imposed by participant
organizations having multiple agendas. For large organizations, in which only one branch is
involved in an ecosystem management project, giving that branch significant decision-making
authority can make a big difference not only in getting the work done, but also in simplifying
evaluation efforts. As an Oak Openings representative notes, � �I think that�s one of the really
good things about TNC is that we are given a lot of autonomy in our project offices to make
these decisions.�
It also simply needs to be realized that many participant organizations cannot devote one
hundred percent of their time and resources to the ecosystem management goals. This in itself is
not a problem, but evaluation efforts should acknowledge it, as it can lead to other evaluation
complications such as spatial and temporal scale problems. Indicators need to reflect the work
that a given organization is doing towards the ecosystem management goals, and not overall
organizational work.
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The main solution to this difficulty is to develop and implement a work plan. A work plan
demonstrates how the work of various organizations helps to achieve the whole. For example,
Chicago Wilderness is asking groups to show how projects will further overall goals �as opposed
to just a hopscotch approach of this is a good project and this one sounds interesting.� When it
can be articulated how various smaller projects fit into an overall scheme, evaluation of the entire
plan becomes easier.
9. Single Strategy versus Holistic Goal
Because successful implementation of strategies may not equate with overall ecosystem
management success, this cannot be used as reliable measure of progress.
Challenges
In the cases, there is a strong tendency to measure success by looking at whether or not certain
strategies are implemented. In some instances the next step is taken, the step to see if the
strategy is working as intended. However, the success of a strategy may sometimes be
misleading and should not be equated with ecosystem management success for several reasons.
1) Strategies may not be sufficient to reach ecosystem management goals. 2) Short-term success
may not mean long-term success. 3) Strategies may not really be implemented to achieve
ecosystem management goals (at least not directly). 4) Some strategies may have unintended
consequences. And 5) differential progress on different strategies makes a measure of overall
success difficult.
Strategy Not Sufficient While it may be thought that a given strategy is working well, it may not be sufficient to achieve
the goal. Ecological complexity and lack of causal linkages may make evaluation difficult. For
example, Fish Creek has been working diligently for many years to convert farming practices to
conservation tillage in order to reduce sediment loads in the river. Reduction of sediment will
certainly help the endangered mussels, which is one of the ultimate goals of the project. Whether
or not this primary strategy will be sufficient to recover the mussels remains unknown. �If we
get up to 70% [conservation tillage] and the indexes that we are monitoring are not at least
trending up or maintaining, I think then we are going to have to say to ourselves, �Did we miss
the target?�� In trying to convince the public of the worth of a National Wildlife Refuge, a
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Kankakee participant recognizes that progress does not necessarily lead to success. �every time I
contact a person and get good information out to them, I feel like that�s progress. Will it achieve
success? Who knows what their attitude really is?� FWS is making progress is talking with
people about the reserve, whether or not this will translate into the creation of a reserve remains
unknown. The danger here is that a successful evaluation of a strategy can give false impression
of overall success.
Sometimes strategies are not sufficient to achieve goals, because difficult to address or
overwhelming threats are avoided. For example, hydrology issues are a big threat to the
preservation of the Oak Openings. �We�ve always said that water, ground water withdrawal, is a
big problem, but, at the same time, a lot of us have always said, what can we do? Is there
anything that we can do realistically about it? I�m not sure that there is.� So even if all
strategies implemented are successful, goals may still not be reached, because some threats were
never addressed.
Short-term Versus Long-term Success A strategy may have short-term success but then break down in the long-term. We saw a number
of examples where this might be the case. In Fish Creek, monetary incentives as well as
whatever other creative means that present themselves, are used to convert farmers to adopt
conservation tillage. This strategy appears to be effective, however, what if a developer were to
come along and offer a lot more money? Instilling a conservation mind-set in the community
has not necessarily been a part of the strategy, so any gains made today may not hold in the long-
term. Members of Oak Openings are devising a land acquisition plan, yet it is being kept quiet.
�[The plan] has not been publicized yet, because as you know, land acquisition can create some
real polarity among the community and we just had a real severe backlash.� The implementation
of such a plan may have long-term consequences that prevent achievement of their goals.
Another example, common to all cases, is the fact that most politicians only work on projects
that will help them get elected. As one Oak Opening member said, �These politicians are only
going for short term.� Some strategies needing political support may be geared towards short-
time frames, but then be disregarded if there is a change in political leadership.
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Understanding Incentives Caution should be taken at every stage of ecosystem management in terms of interpreting the
significance of various actions, because not all strategies are implemented purely for the purpose
of achieving the ecosystem management goal. Sometimes organizational members are required
by legal mandates to implement certain strategies. The strategies may be conflicting or not
completely compatible with ecosystem management goals, or they just might not be the most
efficient means of achieving goals. This situation is a problem for government agencies. As put
by a USFS employee working in Chequamegon, �I�m a public servant and I�m trying to figure
out how to apply what the public has said they want on their land.� Public involvement is
generally desired in ecosystem management, but if consensus or compatible goals are not
reached, the implementation of a variety of strategies may counter one another. In Oak
Openings, �the biggest challenge is finding the balance between public access and preservation.�
In the Kankakee, The Army Corps of Engineers is legally mandated to reduce flooding, which
aids restoration but may impede work of others also trying to restore the area. As said by a Corps
member, �For me, it�s easy because I have an assignment from Congress and it�s spelled out in
the law�It�s intended to deal with one issue and that issue is flood reduction.� Complying with
the law can be interpreted as success; the mandate can focus people onto one aspect, but this
diminished the whole picture view.
In addition to legal reasons, strategies can be implemented just because a good opportunity
arises. Funding and good PR are two reasons why strategies that may not be the most direct path
to achieving ecosystem management goals are implemented. As one person involved in Oak
Openings said, �Honestly, I think the Port Authority was doing it [participating in the working
group] for good PR. So they could say we are working on things, we are trying to preserve the
Oak Openings.� Or in the case of Fish Creek, Monsanto donated $275,000 to promote the
conservation tillage strategy. While reducing sediment has positive ecosystem effects,
conservation tillage can mean increased herbicide use. Although people argue both sides of the
issues, The Nature Conservancy conducted a study on the side effects of this strategy and they
are comfortable that it is a good one to go with. Generally the same herbicides are used with
both conventional farming techniques and no tillage. {Should these statements be removed?
TNC does not see it as a perverse incentive; this more reflects our views of Monsanto}
Following opportunistic strategies is not necessarily a bad way to get necessary work done,
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however an evaluation of such a case must not fall into the trap of just looking at the strategies
being used. A more holistic picture is needed to evaluate how the overall effort is progressing
towards its goals.
Because multiple reasons may lie behind the use of a strategy, caution is needed when evaluating
them. For example, participation in planning meetings should not be interpreted as commitment
to or interest in group goals. Members of Oak Openings attended working group meetings for a
variety of reasons. � �My director told me yeah you can go to the meeting, but don�t make any
commitments.� Attendance of organizational members at meetings should be interpreted
carefully, because often they have little to no decision making authority. This is particularly a
problem for organizations that are headquartered outside of the ecoregion such as the case with
Ohio DNR and Maumee State Forest. Furthermore, planning is not a good indicator of action.
Many organizations do well at the planning stages but then fall short during implementation,
which means that evaluators must also look at what is actually implemented, not just agreed to.
While organizations can agree that certain strategies would be worthwhile, someone must be
willing to implement the strategy. Chicago Wilderness is at a point where, �We�ve got the
priorities. What we really need to do now is go out and find who is interested in doing this work.
And what is it that excites the members and what do they have energy to do? Because if they
don�t have the energy to do it, it�s not going to get done.� And if nothing gets done, then goals
will never be reached.
Unintended Effects Well-meaning strategies can have unintended effects. For example, Chicago Wilderness started
a granting program to bring more resources to the work of its members, but this granting process
ended up influencing how some members think about the coalition. A project manager laments,
�We don�t want to be known as Chicago Wilderness the granting foundation where our members
just look to us as a source of money.� Instead of unifying them toward working collaboratively,
in some instances the granting program created a competitive atmosphere. In this case, an
indicator measuring project success may mislead evaluation of overall success, because while
more funds may be going to projects, the process may be undermining other goals, such as the
building of collaborative relationships.
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Multiple Measures Differential progress on components or conflicts among components makes an overall index of
success meaningless. Progress towards different goals can take place independently such that
work on one goal may be going well while work on a different goal is not. This is especially
complicated to deal with when success of different goals is mutually exclusive. As a USFS
practitioner expressed it �ecosystem management success is looking at how you are balancing
competing goals, and that can not be measured broadly.� If all different goals are �scored� and
then pooled, �pluses� and �minuses� might cancel each other out and the overall broad score
would be meaningless. �For example,� he says, � as you are trying to accomplish a healthier
vertical structure, what else did you do for competing needs? Did you meet the needs in one area
at a bigger cost in another area? Are those measurable? Yes, they are. But they are measurable
primarily in specifics�to try and make an overall grade of the total package�how does that
meet that nice philosophical goal? I don�t have an idea of how you�d score it that way.�
Possible Solutions
When strategy success does not equate with overall ecosystem management success, evaluation
must determine not only how strategies further ecosystem management goals, but also where the
gaps in progress are. Chicago Wilderness, in general is trying to take a more strategic approach.
�We have money for year one, but the point of identifying work for years two and three is to
figure out where we want to fundraise, so we are not just limited to those federal funds and also
again to think more strategically and not just do a great project here and a great project there but
have them build on each other and capitalize on what we have invested.�
Another tactic taken by Chicago Wilderness is the development of criteria for what makes a
good ecosystem management project. This not only helps their implementation keep on track
with goals, but it aids evaluation in that it charts how the progress of different strategies connects
to larger goals. Chicago Wilderness is asking groups to show how projects will further goals �as
opposed to just a hopscotch approach of this is a good project and this one sounds interesting.�
Chicago Wilderness�s State of the Region program is furthermore designed to help illuminate
where the gaps are, threats that strategies are currently not addressing.
Never does anything go exactly according to plan. Strategies will be undertaken for a variety of
reasons. Various opportunities arise. Just because strategies are not implemented according to a
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schedule does not mean that they do not contribute to progress. However, during an evaluation,
noting reasoning behind implementing a particular strategy may help to uncover how its progress
is leading to overall goals and show where certain strategies are primarily being undertaken for
other reasons.
Not only does adaptive management help to determine cause and effects, it is also an effective
means of determining when strategies have unintended consequences. �So you have to have an
adaptive management process with good monitoring so that you can see whether or not the
system turns in a direction that you intend it to.�
Blending the conflicting needs of people may be done subjectively or impartially. For example,
the USFS member in Chequamegon explains a scenario of doing a good job on improving
biological conservation, but as that is done �it reduces access or changes from early successional
to late successional habitat and the grouse hunters and people who love deer are very unhappy.
So now I have a negative on one and I have a plus on the other. Did I succeed or fail?
Interviewer: What do you think? Is there an answer to that? Respondent: Yes, but it�s a
subjective answer.� Being impartial, on the other hand, may mean equal lack of success across
components. As a Kankakee practitioner says, �I will tell you that there�s the full spectrum of
folks and how they see things� we will probably finish the study having no one happy. Maybe
the best answer is that we mistreat every party somewhat equally.�
10. Causal Linkages
The lack of detectable causal linkages, such as in the case of time lags or simultaneous use of
many strategies, complicates evaluation of strategy success.
Challenges
Evaluation of strategies rests in part on being able to determine the effects of the various
strategies implemented. If such causal linkages are not determined, it is impossible to tell if the
observed effects are the result of the strategy in question, a different strategy, some combination
thereof, or some outside factor. Despite the importance of causal linkages to evaluation, such
linkages are difficult to find for a number of reasons. 1) There are often long time delays
between cause and effect. 2) Multiple spatial scales make it difficult to determine causal
linkages. 3) Often many strategies are used simultaneously. 4) Monitoring is often not designed
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to answer causal questions. The problems to measuring successes posed by multiple temporal
and spatial scales are addressed in different sections. (See lessons # 4 and 5).
Simultaneous Use of Strategies Causal linkages are difficult to find when many strategies are used simultaneously, which is
often the case. For example, multiple strategies can be used to reach the same goal or multiple
organizations can implement similar strategies. In Oak Openings, an effort to educate the public
about the region followed several routes. Two organizations put together a travelling exhibit and
a third organization mounted both a radio ad campaign and posted billboards along the
highways. A private consulting firm was hired to conduct a survey after the radio ad campaign,
and in that they asked participants where they had heard of Oak Openings. So it is possible to
separate out the effects of different strategies through evaluation techniques. However, because
the travelling exhibit strategy was not part of the evaluation nor was there a pre-test component,
it is hard to say how much the exhibit might have made the public more receptive to the other
two strategies. Use of multiple strategies can be effective and efficient, but the evaluation needs
to be designed to distinguish between the different effects if any lessons are to be learned. As a
member of Chicago Wilderness summed up the problem of simultaneous strategies, �There are
so many moving pieces that it can be bewildering even for the people in the thick of it.�
Knowing the effects of each strategy makes it easier to assess success.
Poorly Designed Monitoring Programs Most of the time monitoring is not designed to answer causal questions. Either there is
monitoring for monitoring sake or little to no monitoring. All five cases had some sort of
monitoring going on. In most cases, monitoring efforts were at the site level and orchestrated
only within a single organization. In addition, in most cases, monitoring efforts were relatively
long term and set up to collect data believed to be important or useful. However, as one person
noted, �We have got so much information that we almost have no information.� This overload
of monitoring data occurs when evaluation questions are not established a priori to guide
monitoring efforts. Without specific evaluation questions, there is a tendency to monitor
everything (that is easy to monitor). Not only is this tendency an inefficient use of resources, it
tends to cloud evaluation prospects, because of the wealth of information. While monitoring can
answer questions such as is the population increasing or decreasing, it often can not say anything
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about why such a trend is being observed. If the goal is reached, perhaps knowledge of causal
linkages is not needed, however, for the strategies to be implemented elsewhere or if the goals
are not met, it would be nice to know which strategies had which effects.
Often such full scale monitoring does not occur because there are simply many barriers and costs
to implementing complete evaluation schemes. Monitoring is time and labor intensive. Often
adequate resources do not exist to carry it out. Evaluation schemes should work to overcome
this challenge by developing simple, easy to measure indicators. Lack of easy to implement
monitoring programs often leads to relaxed attitudes about monitoring. In Oak Openings, for
example, �We really kind of informally document that we are doing that. It would probably be
better if we did a more formal documentation of that but we just don�t have time to set it up. It
probably should� could be scientific method involved and so forth but it is a lot of what I
affectionately call trial and error.�
The lack of concrete causal linkages or ways to measure them, often lead practitioners to rely on
anecdotal evidence. For example, one member of Oak Openings said, �How do I know that
[there is increases public awareness]? People say I heard this on the radio, or people would ask
about native plants.� Anecdotal evidence can be used as a measure of progress, but it does not
build a very strong case if funding or other resources are on the line.
Possible Solutions
Because causal linkages are difficult to find, one of the best solutions is to set up the situation to
improve chances of finding causal linkages. Noting that �trends are tough in a two year time
frame,� a Chicago Wilderness member suggests that periodic conferences to assess status might
work because �you are trying to set yourself up so that you get better trend information in the
long term.� In other words, it will take time to develop causal linkages, but as long as this is a
goal then evaluation work can build towards this aim.
Staying focused on the evaluation goals will also help to illuminate progress and trends over
time. As noted by a Chicago Wilderness member, �State of the Region can report on how the
birds and bunnies are doing, but if you keep the discipline of looking at the state of the living
system and habitats then you will naturally enough look at programs and stressors. We said that
some big things had to happen to address those stressors, how are we doing?� Consistency in
11. Unrealized Evaluation Plans
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36
evaluation is important to track progress, particularly where it is not occurring as one might
hope.
Because development of indicators can be labor intensive and difficult, a member of Chicago
Wilderness suggests starting subjectively and then building up to indicators. In other words, start
with expert opinion to determine if the status of the resource is �poor,� �fair,� or �good.� This
was the approach take by State of the lakes Ecosystem Conference (SOLEC) in the beginning.
Subjective measures will help to keep participants focused on the evaluative components and
therefore searching for the correlations and linkages.
Probably the most called for method for establishing causal linkages in the literature is through
the adoption of an adaptive management approach. Certainly if evaluation plans are integrated
into strategy implementation plans, the likelihood of finding causal linkages and the ability to
draw conclusions about a strategies� effectiveness greatly increases. It is much harder to
evaluate a strategy post facto than it is to set up the evaluation plan along with the
implementation. One way to work towards adaptive management is to change the general way in
which monitoring is conducted. Monitoring programs should be designed to answer specific
evaluation questions about the use of strategies. Rather than placing time and effort into
collecting data that probably will never be used, more effort should go into anticipating
evaluation needs. What information does the program need to know about its progress? This
linkage between strategies and monitoring is often overlooked.
11. Unrealized Evaluation Plans
Evaluation is difficult, because, although its importance is recognized, evaluation steps are often
not put into practice, leaving little information on which to base progress.
Challenges
One of the largest challenges to measuring success of ecosystem management cases is that in
most cases there is a lack of an existing and functioning evaluation plan. Meaningful evaluation
requires that the agency recognizes the value of evaluation, develops an evaluation plan that
corresponds to their goals, and then actually carries out this plan. There are mental and
organizational barriers to achieving each of these requirements, which makes evaluating
ecosystem management success difficult both from a within-agency or case perspective and for
11. Unrealized Evaluation Plans
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37
an outsider evaluating one or many cases. Furthermore, lack of evaluation can lead to the
problem of non-adaptive management, since the success of individual strategies is not routinely
questioned. For example, agencies may pursue the same strategy for many years without
considering alternative strategies.
Many of the barriers to evaluation are the challenges discussed in this paper, but specifically the
mind-set and organizational barriers to evaluation are what will be discussed here. These are
important to consider, because even if an ideal evaluation system were developed, its
implementation may fail within an agency due to these types of barriers. Evaluation plans are
often not implemented because 1) there are other competing priorities, 2) it becomes an
overwhelming task, or 3) it is incomplete because the results are not perceived as useful.
Other Priorities Although the value of evaluation may be recognized, it is rarely made a priority task. There is a
general consensus that at least at some level (see lesson # 12), it is important to have measures of
success. For example, a TNC worker in the Chequamegon Bay Watershed said �we should be
asking these questions before we implement a strategy, because if we can�t measure our
effectiveness how do we know whether we�re spending our money in the right spots.� Similarly,
a Chicago Wilderness participant said �it is certainly something we should think about, and I
think every step of the way we will look back over our shoulders and say did this make sense and
did this make good use of our time and energy and so on.� Chicago Wilderness practitioners
have also recognized the value of evaluation in terms of being able to show potential funders a
clear need for their continued support and to prove accountability to the public.
In a few situations the need for evaluation is not recognized. For example, the value of regional-
level evaluation is not acknowledged in cases where local sites each focus on the need for their
own monitoring plans. Individual members in Oak Openings are working on their own internal
monitoring plans, but as of yet there is no region wide monitoring effort. Chicago Wilderness is
currently experiencing the balancing act between the needs of site level evaluation for each
organization and of region-wide evaluation for the whole effort. As noted by a coordinator of
the evaluative processes of conservation design, �there is a little bit of skepticism from some of
the land managers who think things like � we are already doing this; we don�t need this kind of
11. Unrealized Evaluation Plans
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thing.� In these cases, important uses of evaluation, including how regional information can
bring support to local efforts, are not fully understood.
Despite the value of evaluation generally being recognized, it is most often not a priority.
Evaluation plans are generally not as formalized as lists of objectives and strategies, and most
time spent on the job is devoted to doing, not evaluating. In the mix of so many pressures on
time, money, and resources, implementing evaluation plans often gets lowest priority. This stems
from actual challenges to measuring success [see other lessons], or the daunting nature of
evaluation. But it seems that it also is due in large part to a lack of an evaluative or analytical
mind-set. This is indicated, among other things, by a) initial responses to the question of how to
measure success, b) statements that reflect a focus on doing, and c) a lack of use of collected
data.
Overwhelmed by Task The result of a lack of an evaluation mindset or of making evaluation an organizational priority is
that many forms of evaluation are lacking, not systematic or not documented. Subjective (gut
feelings) or anecdotal (bird sightings, comments from people) evaluation presents the problem of
how to move from the individual evaluation level to an institutional one. To recognize the
importance of evaluation is one thing, to have some ideas about how that might be done is
another. Even some of those practitioners who had strong feelings about the need for evaluation,
had not thought deeply about what measures they might or should be using. For example, in
response to how he might measure success of a currently implemented forest-management
education program in the Chequamegon-Nicolet, a project director replied, �I don�t know.. that�s
a good point. We obviously want to see change in certain forest management out there. I�m not
sure how you actually measure it� I guess we haven�t thought that far in advance�I have a
hard time, other than just saying that my gut reaction is that the more people get educated about
forest management, the better management is going to go on in the watershed.� This initial
response was not atypical. That is, several practitioners had difficulty listing potential indicators
of success and discussed gut feelings or anecdotal information instead. Exceptions to this include
a practitioner from the USFS, which is required by law to have documented evaluation systems,
and Chicago Wilderness, which is actively engaged in developing its evaluation systems.
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In addition to the use of intuitive evaluations, another sign of feeling overwhelmed by the task of
evaluation is the documentation of strategies used. There is a tendency to equate evaluation of
strategy effectiveness with documentation of what is being done. For example, in response to the
question, �Are you [determining effective use of herbicide] systematically?� an Oak Openings
project director replied, �More of it�s random. It�s really obvious � we don�t really need a plot.
[Our site manager] is good at documenting what we do where.� Similarly, the emphasis on doing
from another practitioner within Oak Openings: �Of course evaluation is important, but if we
don�t do any work, then what is there to evaluate?� Another Oak Openings participant
commented, ��I think we are learning as we go along. We are trying to keep pretty good
records of what we do in terms of restoration work.� Annual reports for funders or work or
progress reports also tend to document what has been done, and thus are not particularly useful
for evaluative purposes.
Data Collection Versus Analysis In situations where there are some data, the focus tends to be on data collection rather than
analysis. Many agencies recognize the need to collect data and may have quite extensive
monitoring programs to collect substantial amounts of data. However, documented data that are
collected without a clear plan of how that data will be used or analyzed for evaluative purposes
can be uninformative. How useful these data are, or how the data will be used are not usually
recognized. This is clear from looking at the amount of data collected versus analyzed or applied
to decision criteria by agencies. Many cases use monitoring data just to establish trends and
potentially an early warning system, but not really to apply it to any strategy or decision-making
process at the moment. The result is that they then operate on a best-management practice
principal, or a �time will tell� approach. For example, much of the data collected on Fish Creek
is to date not used but is filed or �on a web site, and we can look at it any time. I think it�s pretty
much just data collection right now. I don�t think anyone�s really analyzed it.� Similarly
monitoring data on rare plant species in the Oak Openings region is sent in to the natural heritage
database, but the information is not analyzed to answer evaluation questions. Available data
could be used more effectively to evaluate success, i.e. certain informative analyses have not
been done to link strategies with anticipated goals.
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Potential Solutions
Potential solutions must be looked at from two angles: 1) ways agencies themselves can improve
internal evaluation, and 2) ways that an outside evaluator can make the most of existing
information. Stimulating thought on how ecosystem management could be measured is needed
for both internal and external evaluation.
There are several things agencies could do to move from valuing evaluation to practicing it.
These include: a) integration of evaluation into the site plan, b) increasing accountability, c)
dedicating time and personnel to evaluation, and d) enhancing capacity through the use of
volunteers. To really evaluate the effectiveness of a strategy, how it is going to be evaluated
should be determined a priori. That is, there need to be evaluative measures for each goal and
strategy before they are implemented. As evidenced by the different level of evaluation done by
USFS, increased accountability requires evaluation, or at least some look at progress. Chicago
Wilderness is planning on using public conferences in this way: �Holding a conference is a
moment of truth and people who said they would do things are held accountable to ok now you
are going to stand up in front of 500 people and if you just screwed off and didn�t do your paper,
it is going to hurt.� Finally, some practitioners realize the need for a job position or a leader
devoted to evaluation, developing indicators, compiling and analyzing data sets: �Someone
needs to agree to carry out work necessary for evaluation.� Such positions do exist (e.g. referred
to as �a DNR guru on performance measures,� or the �leader of DNR�s ecosystem management
planning team�). The question is whether there are enough of them working on local scales often
enough to be able to assess success continuously.
Some organizations have had great success from the use of volunteers. �Citizen-scientists� can
be trained as monitors, and because there can be large numbers of trained volunteers, they can
collect much more data than is often possible by staff personnel. For volunteers to be used
effectively, however, the type of data that they will collect and the how this data will be analyzed
should be well planned out in advance.
Another solution is to make the most of all existing information. An outside evaluator could
combine data from all sources and analyze it in ways that have not been done. There are many
data sets already available that could be used for evaluation, or additional information could be
obtained from agencies not directly participating in the ecosystem management project. For
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example, county data on the numbers of acres in conservation tillage acres, which is apparently
available, could be amassed for the �control� study sites and then water quality and land use
across sites could be correlated. An additional source of knowledge may come from long-term
employees of agencies. Practitioners that have been there for a while get a feeling for progress
from their long personal history, so even if evaluation is not systematic or integrated into plan, it
may be easier to evaluate success of cases where the personnel have low turnover.
Simply thinking more about evaluation, objectively and subjectively, leads to the development
of ways to measure ecosystem management success. A trend for all interviews was that in the
beginning of the conversations on measures of ecosystem management success (before specific
questioning) the interviewees made comments to the effect that they don�t have any (yet) and
don�t know what they would use. But upon further questioning, several ideas and opinions did
emerge. Figuring out what the important questions are � what is that they want to know � leads
to designing ways to measuring it. Practitioners realize that as they are forced to think about
evaluation more, it becomes a more integrated part of what they do. According to The Nature
Conservancy Office in the Oak Openings, �Our measures of success were more general in terms
of acreage and awareness, and we just went through this latest round of site conservation
planning that was a bit more formal and we have to think about these things. And measures of
success have become a much bigger aspect of our work.�
Starting modestly and subjectively is Chicago Wilderness�s approach. �It does not have to leap
forward with full armor, but I think the important thing is to get Chicago Wilderness committed
to an event where it says, this is what we think we know about where we are today and this is
what we are going to do to measure progress.� It seems that with SOLEC, thinking about
evaluation even subjectively served as an important guide to developing actual indicators. �It has
gone from the very subjective to heading in a much more quantified direction, which is very
much needed and creates institutional accountability and lots of good things, and it enhances the
ability to communicate to the public and the media and decision-makers.� Starting subjectively
has advantages, in that it is less intimidating than �bar graphs and pie charts and chart progress �
well that is overwhelming.�
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12. Scale of Evaluation
Because both fine and coarse scale indicators have limited usefulness, it is difficult to determine
the correct scale at which to conduct an evaluation.
Challenges
There are an infinite number of indicators to choose from in measuring progress towards goals,
and these vary from very coarse to very fine scale variables. Both coarse and fine scale indicators
have their pros and cons, which are discussed below. The challenge is finding the right number
and level of indicators, and that is likely to depend on the component of ecosystem management
success to be measured, the available resources for monitoring, and the opinion of the agencies
involved.
Fine Scale Indicators Fine scale indicators are clearly measurable items, but with limited time and money, only a few
can be measured. Examples of fine-scale indictors seen in the cases looked at are sedimentation
level, acres in conservation tillage, lupine density, and number of people attending a field trip.
They are generally easy to measure and thus are the most often type of data collected. The
number of fine scale items that could be measured is infinite. However, given limited time,
resources, and money only a few are actually done. As a forest service representative in
Chequamegon-Nicolet put it �you know that the ecosystems are more than just the species
elements. There are also the interactions and...biochemical, energy exchange.. a whole variety of
things to know whether a system works well. And to actually think that we�re going to get all the
measures to say � did we do well? We�re just not going to go there. We�re not going to be able to
afford it, as a society.� A TNC project director in the Chequamegon Bay Watershed feels the
same limitation on what they can measure: �I would say there�s a lot of money out there to do
restoration projects, but not a lot of money out there to do long-term monitoring whether its was
a good use of your money or not.�
A limited number of fine-scale measures is insufficient for measuring ecosystem management
success. That only a few fine-scale items can be measured by any one agency poses a problem to
measuring success, because fine-scale measures are not likely to be informative unless a) there
are many (since we do not know which of the few are most informative) and b) they are a part of
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a synthesizing analysis (which is rarely done, see value of evaluation, lesson # 11). This may be
especially true for social or process issues where easily measured fine-scale numbers reveal little
about progress towards goals.
Coarse Scale Indicators The result is that most practitioners turn instead to very coarse-scale indicators, which are also
not sufficient for measuring success. For example, in Fish Creek, where TNC has a goal of
restoring riparian habitat in an agricultural setting, �the way we rate it, is if there�s anything that
isn�t corn and soybeans out there, we�re doing something better to reduce threats to the
ecosystem.� How much better, relative to other strategies or other cases, is not clear from this
kind of assessment. Similarly, Oak Openings practitioners measures success of prairie restoration
project as seeing new native species appear from year to year, which may be recorded or just
anecdotal evidence. Course scale indicators have the benefit of being easy and cheap, because
they are not actually measuring anything in a systematic way, but may be too coarse to reveal
possibly important deviations from success. Often there are indicators which are easy to
measure, but do not really get at the crux of issue. For example, a TNC Chequamegon Bay
Watershed worker noted, �The easy ones would be we�ve reached x amount of people in x
amount of years�but how do you know that you�ve changed anybody�s attitude� I really don�t
know.�
Because of the difficulty of balancing the use of fine and coarse scale indicators, there is no
standard resolution at which success can be compared. This is true both among the different
agencies within a case and across different cases. Within Chequamegon-Nicolet, for example,
the Forest Service, may have more resources available to it than other members do and have
monitoring programs required by law and so focus on many finer-scale items to measure. The
Fish Creek TNC, on the other hand, with the local office having less than 3 personnel, may have
much more limited resources and only do the monitoring for which they are equipped. That is,
they will use primarily a few medium scale-measures � number of acres in certain land-use types
� to gauge success. This makes it difficult to measure the success of this case, since different
components of ecosystem management will be measured at different resolutions and success in
one component may be an artifact of the resolution at which it was measured. Similarly,
measuring success at different resolutions make it difficult to compare across cases. It is
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unreasonable to compare a case that relies on anecdotal evidence with one that uses more
scrutinizing fine-scale measures of success.
Potential Solutions
There are several approaches that cases are taking or plan to take to develop an idea of the right
level of coarseness at which to measure progress: a) a �filter approach�, b) the �no-brainer
category�, c) feedback approach, d) subjective start, and e) the �two-prong approach.�
Filter approach. A USFS project manager in the Chequamegon-Nicolet area finds that a
relatively coarse filter approach to measuring progress would avoid the problems associated with
fine-scale measures (too many and too expensive) and may be a viable concept to use for
monitoring and managing by. He finds that �no matter how fine we think we are, we are still
coarse�but through a combination of science and pragmatism you arrive at some level of
coarseness that you feel you�re probably measuring it well enough.� This level of coarseness
would tell you if �something�s going awry�whether the system turns in a direction that you
didn�t intend it to.� That is, it filters out what you don�t need to know, but catches the important
information. The pragmatic side of finding the right level of coarseness: go through a hierarchy
of indicators from coarse to fine scale until you find the first measurable item. The science side:
use all available scientific information. His forest planning team is still developing such
indicators, but an example given was vertical structure as one indicator of forests moving in the
right direction.
No-brainer category. A solution to the scale-problem may be to identify components of
ecosystem management or certain goals for which a very coarse scale is sufficient, i.e. that do
not require fine-scale assessment. Several cases alluded to this in some way, such as noted by a
Chequamegon Bay Watershed participant, : �sometimes you really need to go on a gut reaction.
We could spend billions of dollars to figure out whether we�re making a difference, but do we
really need to do that, or do we know that harvesting aspen over and over vs. trying to convert
that stand to what it once was is a good thing to do. We kind of can know that without spending
the money on monitoring.� This might be especially relevant in cases where information is
needed immediately. For example, at Kanankakee they were �considering doing a survey for the
presence of the bat in the areas where we might do work�The FWS said, �well, we could do
that, but it�s going to take a lot of time and money to do a survey� we believe that we have
12. Scale of Evaluation
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45
enough evidence to tell you that the IN bat is present�� and that is sufficient knowledge for what
they need to do right now.
Feedback approach. As a way to prioritize which of the many possible fine scale measures are
relevant and how they might be used, Chicago Wilderness starts with educated guesses for
indices for various conservation targets, and then gets reactions from stakeholder. They �send
them out to people and say � ok what do you think of this? And people are saying oh it is too
high or it is too low. Here is what is wrong with it, and then keep adjusting it until everybody
feels comfortable with it.�
Subjective start. For the items for which there are no data, Chicago Wilderness is taking a
subjective approach to measuring success. They rely on expert opinion and consensus to
determine where they are on a spectrum from bad to excellent in terms of the status of a
resource. They use these �gas gauges,� or subjective measures of status, to work towards the
development of more objective indicators. The advantage of doing this is that they then do not
only focus on the few items they are already measuring: �[going] subjective gives you a chance
to look around and say let�s not get caught by the streetlight affect, which is don�t get caught
reporting just what is under the streetlight. Let�s look around and see what needs reporting on,
and let�s do subjective reporting on that and turn on more streetlights.�
Two-prong approach. Chicago Wilderness is taking a two-prong approach � fine scale
(conservation design) and coarse scale (state of the region). There is a need for this, because
�conservation design is developing at a very fine scale and detailed and it is going to take a very
long time. Somehow we need to jumpstart an objective approach.�
Another potential solution to the problem of fine-scale items being too many for any one agency
to measure is for agencies to pool or compare their data collecting resources. Some are certainly
doing this (e.g.WI DNR and USFS share data) or have plans to do this (e.g. Chequamegon TNC
plans to work with monitoring program of Bad River Indian Reservation). However, it seems
more often agencies are doing parallel data collection rather than dividing the labor of
monitoring and then combining it to evaluate success � e.g. one agency doing public awareness
and the other plant monitoring. However, there are limitations to data sharing. For example, even
though EPA, IN DNR, and OH DNR are doing similar types of monitoring, TNC may be
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46
�spending about $30,000 a year to the Midwest Biological Institute to do our sampling�. TNC
does this because they feel a time lag before others� data is in report form for public
consumption. Universities could also be tapped into for the fine-scale data that they may have
collected for a different purpose, but would still be of use to cases to evaluate success of their
strategies, or changes from baseline. At the same time, agencies could compare data collected
from similar areas and discover that fine-scale monitoring does not need to be applied to all areas
because they behave similarly. A strategy can be tested in one area and assume to work in other
areas (although at some level these assumptions should be checked). In any case, an outside
evaluator would be able to pool and compare the many sources of information to make use of
scattered fine-scale indicators.
Cha
lleng
es o
f Mea
surin
g Su
cces
s in
Eco
syst
em M
anag
emen
t Ec
osys
tem
Man
agem
ent I
nitia
tive
� D
raft
(do
not c
ite o
r quo
te)
0
Tabl
e 1:
Com
paris
on o
f cha
lleng
es o
f mea
surin
g su
cces
s in
eco
syst
em m
anag
emen
t to
pote
ntia
l sol
utio
ns
Cha
lleng
es to
Mea
surin
g Su
cces
s Po
tent
ial S
olut
ions
1.
The
re is
no
univ
ersa
l def
initi
on o
f eco
syst
em m
anag
emen
t. •
Diff
icul
t to
mea
sure
succ
ess b
alan
ce a
mon
g m
ultip
le c
ompo
nent
s. •
Diff
icul
t to
know
on
wha
t sca
le to
mea
sure
succ
ess
• H
ow sh
ould
succ
essf
ul c
olla
bora
tion
be m
easu
red?
•
How
to m
easu
re su
cces
sful
syst
ems t
hink
ing?
• Es
tabl
ish
over
sigh
t com
mitt
ee to
form
ulat
e co
mm
on g
oal
• D
efin
e di
stin
ct g
oal a
reas
that
cou
ld b
e m
easu
red
• M
easu
re su
cces
s sep
arat
ely
for d
iffer
ent c
ompo
nent
s •
Eval
uate
pro
duct
s of c
olla
bora
tives
rath
er th
an st
ruct
ure
• D
evel
op a
syst
ems p
lan
to se
e ho
w e
ach
org/
stra
tegy
may
be
cont
ribut
ing
to o
vera
ll go
als.
• Ev
alua
te c
ases
aga
inst
a c
ontin
uum
of E
M p
hilo
soph
ies.
2. G
oals
are
som
etim
es v
ague
, ill
defin
ed, a
nd/o
r ide
alis
tic.
• If
goa
ls c
an n
ot b
e ac
hiev
ed, h
ow c
an su
cces
s be
mea
sure
d?
• Le
ads t
o a
tend
ency
to m
onito
r im
plem
enta
tion
of st
rate
gy ra
ther
than
pr
ogre
ss to
war
ds su
cces
s. •
Goa
l of r
esto
ratio
n m
ay b
e ul
timat
e, b
ut c
urre
nt su
cces
s may
be
prev
entin
g fu
rther
des
truct
ion.
• Fr
om v
isio
ns, s
peci
fy c
oncr
ete
goal
s, an
d fr
om g
oals
, spe
cify
obj
ectiv
es
• U
se a
ll av
aila
ble
info
to tr
ansf
orm
a v
ague
con
cept
into
a m
easu
rabl
e ob
ject
ive.
•
Dev
elop
incr
emen
tal m
easu
res o
f pro
gres
s
3. T
here
are
diff
eren
t sta
ges o
f eco
syst
em m
anag
emen
t. •
Diff
eren
t thi
ngs m
ay b
e im
porta
nt to
succ
ess d
epen
ding
on
stag
e of
pr
ojec
t. •
Aga
in le
ads t
o a
tend
ency
to m
easu
re st
rate
gy im
plem
enta
tion
• D
iffer
ent a
spec
ts o
f a p
roje
ct c
an b
e at
diff
eren
t sta
ges
• C
riter
ia su
cces
s sho
uld
diff
er fo
r var
ious
stag
es.
• D
evel
op m
easu
res o
f bot
h pr
oxim
ate
and
ultim
ate
succ
ess.
• Pr
ojec
ts in
diff
eren
t sta
ges s
houl
d no
t be
dire
ctly
com
pare
d.
4. S
yste
ms,
goal
s, an
d st
rate
gies
ope
rate
on
mul
tiple
tim
e sc
ales
. •
Tim
e la
gs m
ake
it di
ffic
ult t
o m
easu
re th
e su
cces
s of a
stra
tegy
. •
Proj
ects
tend
to m
ove
forw
ard
befo
re m
onito
ring
prog
ram
s are
in p
lace
•
Som
etim
es o
ne st
rate
gy n
eeds
to fi
nish
in o
rder
to se
e su
cces
s in
anot
her
stra
tegy
.
• Li
nk st
rate
gies
to a
n ov
eral
l gam
e pl
an, i
n or
der t
o m
easu
re su
cces
s.
• R
ecog
nize
var
ying
deg
rees
of c
hang
e an
d re
lativ
e di
ffic
ulty
in a
chie
ving
th
at c
hang
e.
• M
easu
re sh
ort-t
erm
and
long
-term
goa
ls se
para
tely
. •
Look
for t
rend
s in
the
dire
ctio
n of
des
ired
chan
ge.
Cha
lleng
es o
f Mea
surin
g Su
cces
s in
Eco
syst
em M
anag
emen
t Ec
osys
tem
Man
agem
ent I
nitia
tive
� D
raft
(do
not c
ite o
r quo
te)
1Cha
lleng
es to
Mea
surin
g Su
cces
s Po
tent
ial S
olut
ions
5.
Sys
tem
s, go
als a
nd st
rate
gies
ope
rate
on
mul
tiple
spat
ial s
cale
s. •
Cha
lleng
es in
scal
ing
up m
onito
ring
data
from
site
to re
gion
leve
l. •
Impo
rtanc
e of
regi
onal
leve
l eva
luat
ion
not a
lway
s rec
ogni
zed.
•
Spat
ial s
cale
issu
es m
ake
it di
ffic
ult t
o se
e ca
usal
link
ages
. •
Cas
es o
pera
ting
on v
astly
diff
eren
t sca
les m
ay n
ot b
e co
mpa
rabl
e.
• Sc
ale
up si
te le
vel d
ata
into
a re
gion
al re
pres
enta
tion.
•
Dev
elop
bot
h si
te le
vel a
nd re
gion
al in
dica
tors
.
6. E
colo
gica
l pro
cess
es a
re in
here
ntly
com
plex
and
var
iabl
e.
• Q
uest
ions
aro
und
relia
bilit
y an
d in
terp
reta
tion
of e
colo
gica
l dat
a.
• C
onfo
undi
ng m
easu
res o
f dire
ct e
ffec
ts o
f cer
tain
stra
tegi
es.
• H
ard
to k
now
whi
ch v
aria
ble
best
repr
esen
t an
ecol
ogic
al p
roce
ss o
f ph
enom
ena.
• Lo
ok a
t ove
rall
trend
s. •
Use
exi
stin
g kn
owle
dge
abou
t eco
syst
ems t
o he
lp in
terp
ret r
esul
ts.
7. In
dica
tors
of s
ocia
l and
pro
cess
goa
ls a
re n
ot a
s rec
ogni
zed
by p
ract
ition
ers
as a
re e
colo
gica
l goa
ls a
re th
eref
ore
are
not a
rticu
late
d or
mea
sure
d.
• Ev
alua
tion
of so
cial
and
pro
cess
goa
ls is
diff
icul
t whe
n th
ese
goal
s are
not
sp
ecifi
ed.
• So
cial
and
pro
cess
goa
ls te
nd to
be
fuzz
y co
ncep
t tha
t are
not
eas
ily
mea
sure
d.
• H
ard
to m
easu
re p
rogr
ess w
hen
incr
emen
tal s
teps
are
not
iden
tifie
d.
• C
ases
can
go
dow
n un
desi
rabl
e pa
ths
• A
rticu
late
soci
al a
nd p
roce
ss g
oals
and
obj
ectiv
es.
• Q
ualit
ativ
e m
easu
res m
ay b
e m
ore
usef
ul th
at q
uant
itativ
e on
es.
Cha
lleng
es o
f Mea
surin
g Su
cces
s in
Eco
syst
em M
anag
emen
t Ec
osys
tem
Man
agem
ent I
nitia
tive
� D
raft
(do
not c
ite o
r quo
te)
2
Cha
lleng
es to
Mea
surin
g Su
cces
s Po
tent
ial S
olut
ions
8.
Man
y ag
enci
es h
ave
dive
rse
agen
das.
• Su
b-or
gani
zatio
nal g
oals
may
be
over
whe
lmed
by
larg
er o
nes
• In
dica
tor s
elec
tion
can
be c
ompl
icat
ed w
hen
not a
ll or
g ef
forts
con
tribu
te
to E
M g
oals
•
Som
e pr
ojec
ts m
ake
insi
gnifi
cant
con
tribu
tions
to o
vera
ll go
als
• So
me
org
goal
s may
be
inco
mpa
tible
with
EM
goa
ls
• Ev
alua
tion
of E
M sh
ould
look
at w
hole
pic
ture
, eve
n if
org
is o
nly
wor
king
on
a sm
all p
iece
.
• Fo
cus j
ust o
n or
gani
zatio
nal r
esou
rces
des
igna
ted
for E
M g
oals
. •
Dev
elop
ove
rall
wor
kpla
n of
how
smal
l pro
ject
s fit
into
larg
er sc
ope.
9. S
trate
gy su
cces
s may
not
equ
ate
with
ove
rall
ecos
yste
m m
anag
emen
t su
cces
s.
• St
rate
gies
may
not
be
suff
icie
nt to
reac
h EM
goa
ls.
• Sh
ort-t
erm
succ
ess m
ay n
ot m
ean
long
-term
succ
ess
• So
me
stra
tegi
es h
ave
unin
tend
ed c
onse
quen
ces.
• D
iffer
entia
l pro
gres
s on
diff
eren
t stra
tegi
es c
ompl
icat
es o
vera
ll ev
alua
tion.
• U
se e
valu
atio
n to
unc
over
gap
in st
rate
gies
nee
ded
to a
chie
ve g
oals
. •
Dev
elop
crit
eria
for w
hat c
onst
itute
s a g
ood
EM p
roje
ct.
• N
ote
reas
onin
g be
hind
impl
emen
tatio
n of
stra
tegi
es.
• Ev
alua
te st
rate
gy a
ffec
ts to
mak
e su
re it
cau
sed
desi
rabl
e re
sults
.
10. C
ausa
l lin
kage
s are
diff
icul
t to
find.
•
Long
tim
e de
lays
bet
wee
n ca
use
and
effe
ct.
• H
ard
to se
e ac
ross
mul
tiple
spat
ial s
cale
s •
Ofte
n m
any
stra
tegi
es a
re u
sed
sim
ulta
neou
sly
• M
onito
ring
is o
ften
not d
esig
ned
to a
nsw
er c
ausa
l que
stio
ns
• U
se e
xper
imen
ts to
unc
over
cau
sal l
inka
ges.
•
Con
sist
ency
in e
valu
atio
n ef
forts
will
hel
p to
trac
k pr
ogre
ss
• St
art w
ith su
bjec
tive
asse
ssm
ent,
and
build
up
to u
se o
f obj
ectiv
e in
dica
tors
. •
Beg
in e
valu
atio
n at
beg
inni
ng o
f stra
tegy
impl
emen
tatio
n.
11. T
he v
alue
of e
valu
atio
n is
reco
gniz
ed b
ut n
ot p
ut in
to p
ract
ice
• R
esou
rce
barr
iers
to im
plem
enta
tion
• La
ck o
f ide
as o
n ho
w to
eva
luat
e •
Tend
ency
to e
quat
e ev
alua
tion
with
wha
t is b
eing
don
e •
Tend
ency
to fo
cus o
n da
ta c
olle
ctio
n an
d no
t ana
lysi
s •
Lack
of i
n-pl
ace
eval
uatio
n sy
stem
to u
se
• U
se a
vaila
ble
info
rmat
ion
to p
iece
toge
ther
bes
t pos
sibl
e ev
alua
tion
• G
et p
eopl
e fo
cuse
d on
eva
luat
ion
so it
get
s inc
orpo
rate
d in
to p
lans
.
Cha
lleng
es o
f Mea
surin
g Su
cces
s in
Eco
syst
em M
anag
emen
t Ec
osys
tem
Man
agem
ent I
nitia
tive
� D
raft
(do
not c
ite o
r quo
te)
3Cha
lleng
es to
Mea
surin
g Su
cces
s Po
tent
ial S
olut
ions
12
. Ver
y fin
e an
d ve
ry c
oars
e sc
ale
indi
cato
rs e
ach
have
lim
ited
usef
ulne
ss.
• O
nly
a fe
w fi
ne sc
ale
indi
cato
rs c
an b
e m
easu
red
with
lim
ited
reso
urce
s •
A li
mite
d nu
mbe
r of f
ine
scal
e in
dica
tors
is in
suff
icie
nt fo
r mea
surin
g ov
eral
l suc
cess
. •
Coa
rse
scal
e m
easu
re o
ften
don�
t ref
lect
real
succ
ess
• H
ard
to c
ompa
re c
ases
with
out a
stan
dard
reso
lutio
n fo
r eva
luat
ion.
• U
se c
oars
e fil
ters
to u
ncov
er w
anin
g si
gns o
f pro
blem
s •
Rel
y on
indi
cato
rs fo
r whi
ch c
oars
e sc
ale
is su
ffic
ient
/mea
ning
ful
• U
se fe
edba
ck to
dev
elop
indi
cato
rs a
ccep
tabl
e by
all
stak
ehol
ders
•
Star
t with
subj
ectiv
e m
easu
res,
and
grad
ually
dev
elop
indi
cato
rs.
• U
se c
oars
e sc
ale
and
fine
scal
e ap
proa
ches
sim
ulta
neou
sly.