Program Expansions A Brief History Early 20 th Century – Timberland End of 20 th Century –...
If you can't read please download the document
Program Expansions A Brief History Early 20 th Century – Timberland End of 20 th Century – Forestland In the 21 st Century – –Today – Land Use Change –Tomorrow
Program Expansions A Brief History Early 20 th Century
Timberland End of 20 th Century Forestland In the 21 st Century
Today Land Use Change Tomorrow Treed Lands? Day After Tomorrow All
Veg?
Slide 2
Program Expansions The Broader the look; the Better the Parts
Timberland to Forestland Timberland; Reserved Forestland;
Unproductive Forestland Forestland plus Land Use Change Forestland
Urban Agriculture Rangeland Water Land Use Change NO Trees
Slide 3
Trees Falling thru Gap Not an Acre Not 120 Wide Wrong Land
Use
Slide 4
Why Fill the Gap All trees: Sequester Carbon Provide Habitat
Filter Water Stabilize Soils Provide Biomass Enhance Biodiversity
Create Jobs Some trees: Increase crop yields Protect livestock
Conserve energy Improve health and safety Handy trees should be
tally trees!
Slide 5
Filling the Gap One Constituency at a Time Trees on
Non-Forestlands Urban Agricultural Working Trees Riparian
Rangelands
Slide 6
Filling the Gap One Constituency at a Time New Constituency =
Support New Support = Funding Direct Indirect New Funding = Filling
the Gap WITHOUT compromising the base forestland mission
Slide 7
Filling the Gap Urban Lots of Statewide Urban Pilots IN, WI,
TN, CO, WA, OR, CA, HI, AK Confirmed we can Quantified urban
forests Confirmed value and benefits Not resulted in strategic
national investment Maybe the scale is wrong??? FIA scale.. urban
forests of USA Urban Constituency Scalemy city
Slide 8
Filling the Gap Urban Vibrant Cities Initiative
(http://vcuf.files.wordpress.com/2012/11/vcuf_report.pdf)http://vcuf.files.wordpress.com/2012/11/vcuf_report.pdf
Urban areas - where most people live (84%) and vote! Urban areas
viewed as ecosystems People, infrastructure, and forest
intermix/interact Urban forests key to vibrant urban environments
At the root of every vibrant city is an urban forest Ecosystem key
to scale issue Core Based Statistical Areas Scale at which FIA can
contribute
Slide 9
Filling the Gap - Defining Urban Stratum
Slide 10
Filling the Gap - Urban
Slide 11
Filling the Gap Urban 12 Vibrant City Recommendations (Goals):
Create a national education and awareness campaign. Foster urban
forestry and natural resources stewardship and volunteerism. Create
sustainable jobs in urban forestry and green infrastructure.
Cultivate partnerships between public and private sectors. Develop
new public administration models for urban ecosystems. Create
comprehensive, multi-jurisdictional Urban Regional Natural Resource
Plans. Integrate federal agencies green infrastructure goals.
Establish energy efficiency programs that emphasize the use of
trees. Ensure equal access to urban forestry and green
infrastructure resources. Support collaborative urban
ecosystem-focused research. Encourage open access to and use of
social assessment tools. Establish national Vibrant Cities
Standards.
Slide 12
Filling the Gap Urban FIA contributions to 12 Vibrant City
goals: Baseline accounting of urban forests Long-term monitoring of
change in urban forests Valuate urban forest benefits and services
Platform for sample intensification/augmentation Nationally
consistent methods and procedures Data sharing and distribution
tools Job opportunities
Slide 13
Filling the Gap Urban FIA Benefits Extends FIA to voting
populace Makes FIA key to their needs Broadens support network
Parks and People Foundation ICLEI Local Governments for
Sustainability USA Chicago Wilderness Tree Care Industry
Association Urban Greenspaces Institute New York City Department of
Parks & Recreation Arbor Day Foundation TreePeople, Inc.
Cascade Land Conservancy Congress for New Urbanism Trees Forever
Open Space Institute International Society of Arboriculture
Sacramento Tree Foundation Sustainable Urban Forests Coalition New
York Restoration Project Society for Municipal Arborists Alliance
for Community Trees National Urban and Community Forestry Advisory
Council Strategic urban forest inventory Built one metro area at a
time Allows seamless urban to rural monitoring
Slide 14
Filling the Gap Urban Other Logical Partner Dave Nowak, FS
R&D, NRS Urban Forest Specialist Established user base
Established partnerships Does urban forest inventory for a living
Partner in all our urban pilots Has developed software I-Tree Urban
Forest Effects Model (UFORE) Has read and emulated the little green
book Established processing engine Established reporting
format
Slide 15
Filling the Gap -- Urban Prefield Field Processing Analysis
Distribution Staged Cooperation FIA I-Tree/D. Nowak Conceptual
Partnering Model Old Model State Pilot Model New Model Future
Model?
Slide 16
Filling the Gap -- Urban FIA Lead I-Tree Lead New FIA / I-Tree
Partnering Model Plot Selection- overlay new FIA grid on top of any
existing grid to facilitate trending/change estimation if resources
available MIDAS modify to capture/edit combined field manual data
on single-plot design and dual design for FIA forest plots in urban
Pre-Field determine visitation; prepare navigational aids;
consistency in cover/use calls with FIA/Urban/ICE MIDAS post- field
edit; create urban output file that is UFORE input ready,
streamline the pass to UFORE FIELD FIA train, certify, and QA; data
collection (feds, states, cities, or contracts) NIMS process
traditional FIA rural data as normal I-Tree Dave et al. analyze and
publish typical UFORE report embellished with FIA data I-Tree
process urban data through UFORE; accommodate FIA table outputs,
condition weighting, error estimation, change estimation as
practical/over time FIA pass estimation weighting info to I-
Tree/UFORE engine I-Tree create FIADB-like standardized output file
from UFORE that has UFORE variables concatenated at appropriate
levels (tree, condition, plot) I-Tree create a new level of the I-
Tree database to store FIA-certified urban forest inventory data
(the standardized FIADB-like file from UFORE) FIA Develop data
distribution tool to hit against FIADB- like UFORE output
UrbanEvalidator
Slide 17
Filling the Gap Urban Dave Nowak design Single 1/10th acre
fixed Fast and efficient in cities FIA design Cluster of 4 - 1/6th
acre fixed Clunky in cities Pragmatic Suggestion
Slide 18
Filling the Gap Rural/Urban Strata Dual Plot Design Model Rural
Stratum Traditional FIA Forestland 4 subplot cluster Urban Stratum
Single 1/6 acre fixed plot at subplot 1 on FIA non-forestland Dual
Design On FIA Forestland in Urban Stratum = Percent of FIA plots
32.8% 0.7% 3.6%
Slide 19
Filling the Gap - Urban
Slide 20
The NWOS contacts forest-land owners from across the country to
ask them questions about: The forest land they own Their reasons
for owning it Their uses of it Their management of it Their
information needs Their future intentions for it Their demographics
Extend NWOS to urban areas Different focus; different
questions
Slide 21
Filling the Gap Urban Road Rules Partnership Model FIA and
I-Tree Under Vibrant Cities Umbrella Goals: Long-term Strategic
Inventory and Monitoring of the Nations Urban Forests Not another
pilot Built one Census Core Based Statistical Area (CBSA) at a time
Annualized to FIA rural forest inventory cycles within the CBSA
Strategic monitoring of all urban forests within each CBSA
Intensified monitoring of urban forests in the target city within
each CSBA Provide annual information on the status and trends in
target city forests Provide for the broader-scale monitoring of all
forests along the urban to rural gradient Place city forests into
context within the broader urban to rural continuum Forward Vibrant
City goals Design Population Census--Core Based Statistical Areas
(multi county areas which build to national) Census-defined urban
areas and urban clusters boundaries within Target-city boundary
within FIA Hexagonal Sampling Frame Sampling Intensity FIA base
intensity (1 plot/~6000 acres) in urban boundary Intensify as
necessary to achieve 200 total plots in the target city
Slide 22
Filling the Gap Urban Road Rules Plot Design 4-subplot cluster
for FIA (rural) forests Single plot at subplot one for urban 1/6
acre fixed Dual design for FIA forest plots in urban Exploit
marginal cost opportunity (FIA already visits 20% of urban plots)
Maintain consistency with rural and urban designs/estimation
Annualize Match FIA rural forest cycle Match FIA
production/delivery goals Collect data in 1 year Process/post data
within 6 months of last plot Publish comprehensive report every 5
years Develop data distribution tools Met by combination of FIA and
I-Tree systems Data Collection Start by merging FIA and I-Tree
UFORE field manuals Traditional outputs of both Programs
Augment/refine in time Learn from initial efforts Only after
initial effort firmly underway
Slide 23
Filling the Gap Urban Road Rules Data Collection Staffing Best
mix (fed, partners, contracts) All must be trained All must be
certified All must pass check plots Quality Standards and
Attainment Trained and Certified crews 4% - 10% of plots checked
annually Blind, Hot, and Cold Measurement Quality Objectives Basis
for passing check plot Quantified and reported Estimates with
sampling errors Statistical precision goals Full breadth of FIA
program with logical urban refinements Plots Characterize
vegetation and sites upon which it grows P1, P2, P2 + (ecosystem
indicators) Timber Product Output Characterize mills, wood used,
products made, and residues generated National Woodland Owners
Survey Characterize owners, attitudes, behaviors, and
intentions
Slide 24
Filling the Gap Urban Road Rules Sample Integrity Protections
Do not bias the sample Access Ancillary efforts May not be the best
platform for some R&D efforts Privacy Protections Get
permission to collect Do not divulge individuals proprietary data
Spatial Data Services Maximize data utility while staying compliant
with Integrity/Privacy protections Augmentation opportunities paid
by partner Spatial intensification Increase the number of samples
(sample intensity) More precise estimates/more confidence for
smaller areas of interest Temporal intensification Speed the number
of plots installed in a year/shorten the cycle length Report out
sooner Establishment of rolling average and change estimation
sooner Additional Data Attributes Augment when mutually beneficial
and not detrimental to base effort