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Sustaining Lakes in a Changing Environment (SLICE)
and its “so-called” sentinel lakes
Ray Valley and Don Pereira
If we rely on speculation regarding why this lake is impaired rather because we don’t have long-term datasets, we occupy the invisible present
If we focus exclusively on what we can put in the lake to “clear it up” and not deal with watershed-scale impacts, we occupy the invisible place
Talk Outline The Why - History, motivations, and
aims of program
The What - Program design and sentinel lake selection
The How - Data collection activities
and partnerships
The So What – Preliminary Findings
Talk Outline The Why - History, motivations, and
aims of program
The What - Program design and sentinel lake selection
The How - Data collection activities
and partnerships
The So What - Lessons learned
Scheffer and Carpenter 2003
Cum
ulat
ive
impa
cts
of
stre
ssor
s
System “state”
Consequences on Resilience
• Cumulative impacts of stressors
• Stressors to watersheds• Ditching, draining, channeling,
• Impervious surface
• Withdrawing & damming
• Alterations to lakes• Overharvest/Overstocking
• Removal of structure
• Disturbance from watercraft
• Time Lags
• Hysteresis – “can’t go back”• Positive feedbacks
Reality Bites!
In a lot of systems there’s no “going back.” Our expectations and
management approach for these systems should be
different for systems largely “intact”
Enter SLICE – informing expectations and appropriate mgt responses
We ask:1. In highly altered systems, how can we
realistically improve water quality and provide a self-sustaining recreational fishery?
2. In high integrity systems, what watershed and in-lake factors are contributing to their resilience, and how can we keep those resilience mechanisms intact?
3. Early Detection and Rapid Response indicators What indicators tell us “all is not well” and indicate whether our responses are making a difference?
Program aims to: Timely detect change to
habitat conditions and species population communities
Understand and project what is/will come into our lakes (watershed modeling)
Understand and project the ultimate fate of external and internal loads (limnological modeling)
Facilitate structured decision-making and adaptive management
Sustaining Lakes in a Changing Environment (SLICE)
Talk Outline The Why - History, motivations, and
aims of program
The What - Program design and sentinel lake selection
The How - Data collection activities
and partnerships
The So What - Lessons learned
Phase 1 (Pilot; 2008-2011): Pilot phase Establish
network of sentinel lakes
Partnership and infrastructure building
Independent research projects to assess specific questions
Indicator ID
Eating the elephant one bite at a time!
chrisnierhaus.com
Lakes should be no different
Maximum depth of vegetation growth Growing Degree Days
Temperature at Dissolved Oxygen = 3 mg/L Density of Daphnia > 1 mm long
Fish Index of Biotic Integrity Proportion of lake volume conducive to growth of coolwater fish
Proportion of warm water species guilds in net catches Total Phosphorus
Frequency of occurrence of curly-leaf pondweed Catch per effort of common carp
Bluegill age at maturation Catch per effort of large largemouth bass
Proportion of microcystis algae to chl a Proportion of lake volume that is hypoxic
Aquatic Plant Index of Biotic Integrity Secchi water clarity
Phase 1 (Pilot; 2008-2011): Pilot phase Establish
network of sentinel lakes
Partnership and infrastructure building
Independent research projects to assess specific questions
Indicator ID
Phase 2 (2012-2016) Using lessons
learned in Pilot to guide operational program
Eating the elephant one bite at a time!
chrisnierhaus.com
Adaptive Management Process
Assess problem
Evaluate
Adjust
Implement
Design
Monitor
Phase 1: Oct – Jan 2006/2007
May-Jun 2007
Apr. 2008
2008-2011
Phase 2
Phase 1 Op plan
Three R’s of Statistical Study Design• Realism
• Randomization• Representation
Population Sample
Inference
Panel 1: Sentinel Lakes (2008 - )
= The network of sentinel lakes
Year
1
3
2
5
4
7
6
8
• Stratified sampling design
• Figurative Approach: “6-in wide, 1 mile deep”
• Monitoring system-wide changes at a fine temporal resolution in a small number of systems spread across the state
• Tracking coherent dynamics (e.g., are things behaving similarly across large scales?)
• Cause-effect inference
• Forecast modeling w/ cont. verification
Panel 2: “Random” surveys (2013 - )
Year
1
3
2
5
4
7
6
8
• Stratified – Random (Strata = Landtype)
• Approach: “1 Mile-wide 6” deep”
• Focus is on maximizing lakes sampled, minimal time spent at each one.
• Combination with Sentinel panel is powerful for robust inference of status across time and space
• Will focus on utilizing datasets from other ongoing monitoring programs
= Group of Lakes
1. Landtype x 4
Sentinel Lake Selection intent: evaluate status and trends over a gradient of lake conditions
2. Mixing x 2
3. P-Concentration x 3
Other considerations with final candidate pool
PCA “reference” lake Other historical datasets
• Paleolimnology• Rich lake survey history
Unique partnership opportunities• Active local water monitoring
programs
Sentinel Lake Characteristics (ranges)Min Max
Watershed Size (acres) 278 595,864Lake Size (acres) 91 5,047Lake Max Depth (ft) 11 208Avg Total P (ppb) 6 (O) 278 (HE)Avg Secchi (ft) 2 19GS Length 2009 (d > 5C) 185 236Avg. Epi Summer Temp (C) 18.4 22.1Alkalinity (mg/L CaCO3) 13 317# on 303d impairment list 6
Talk Outline The Why - History, motivations, and
aims of program
The What - Program design and sentinel lake selection
The How - Data collection activities
and partnerships
The So What - Lessons learned
Research Questions & Partnerships Merging of aspects of DNR, PCA, and SNF
lake survey programs (operational funds) Super-sentinel research
• “What if” modeling of landscape and climate change on water quality and oxythermal habitat in three lakes (Carlos, Elk, Trout)
• ENTF funded w/ USGS match• USGS (PI Dr. Richard Kiesling)
Reconstruction of water quality and correlations to past climate cycles and land use changes• Cold water sentinel lakes• SCWRS (PI Dr. Mark Edlund)• ENTF funded
Research Questions & Partnerships Cisco population assessment methods and
biology• Evaluation of hydroacoustic sampling tools• UMD (PI Dr. Tom Hrabik)• ENTF funded
Indicator research project• signal:noise ratio• best survey methods for robust snapshot of
status• Aspects of entire lake ecosystem measured• Game and Fish Fund, Fed-Aid
reimbursement
“If you build it, they will come”
A platform for interdisciplinary study of lakes
Independent “off-shoot” projects focused on:• Cold-water fish and habitat• Historical reconstructions of water quality and
zooplankton• Zooplankton patterns• Groundwater-surface water interactions
“Free” Analysis off of our “Free” data Projects, investigators, lakes involved, and
contact info is being tracked on SLICE web page
Serendipity: Curly-leaf pondweed case study • Been here for 100 years
• Widespread throughout S and central MN and moving north.
• Grows under ice and needs some winter light
• Can grow abundantly and form mats early in spring in nutrient-rich lakes
• In warm nutrient-rich lakes, dies off by early summer and algae blooms typically follow.
• Expected to benefit from shorter winters and earlier springs
-30
-20
-10
0
10
20
30
40
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011
Year
St. Olaf Pearl St. James Portage Peltier
Dec.
+ Ja
n. S
now
fall (
in) d
epar
ture
from
nor
mal
(1
971
-200
0)
In Conclusion… SLICE is unveiling the invisible present and place
Preparing for rather than reacting to change
Situational awareness – detecting change quickly and the scale its occurring
Sentinel Lakes as ongoing sites of learning and a platform for interdisciplinary explorations
Funding and Partners