program expansions a brief history

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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 ?

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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 ?. Program Expansions The Broader the look; the Better the Parts. - PowerPoint PPT Presentation

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Page 1: Program Expansions A Brief History

Program ExpansionsA Brief History

• Early 20th Century – Timberland

• End of 20th Century –

Forestland

• In the 21st Century – – Today – Land Use Change – Tomorrow – Treed Lands?– Day After Tomorrow – All Veg?

Page 2: Program Expansions A Brief History

Program ExpansionsThe Broader the look; the Better the Parts

Timberland to Forestland Timberland; Reserved Forestland;Unproductive Forestland

Forestland plus Land Use ChangeForestlandUrbanAgriculture RangelandWater

Land Use Change ≠ NO Trees

Page 3: Program Expansions A Brief History

Trees Falling thru Gap

Not an Acre

Not 120’ Wide

Wrong Land Use

Page 4: Program Expansions A Brief History

Why Fill the GapAll trees:• Sequester Carbon• Provide Habitat• Filter Water• Stabilize Soils• Provide Biomass• Enhance Biodiversity• Create JobsSome trees:• Increase crop yields• Protect livestock• Conserve energy• Improve health and safety

Handy trees should be tally trees!

Page 5: Program Expansions A Brief History

Filling the GapOne Constituency at a Time

• Trees on Non-Forestlands– Urban– Agricultural “Working Trees”– Riparian– Rangelands

Page 6: Program Expansions A Brief History

Filling the GapOne Constituency at a Time

• New Constituency = Support• New Support = Funding

– Direct– Indirect

• New Funding = Filling the Gap WITHOUT compromising the base forestland mission

Page 7: Program Expansions A Brief History

Filling the GapUrban

• Lot’s 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 Scale…my city

Page 8: Program Expansions A Brief History

Filling the GapUrban

Vibrant Cities Initiative (http://vcuf.files.wordpress.com/2012/11/vcuf_report.pdf)

• Urban areas - where most people live (84%) and vote!• Urban forests key to vibrant urban environments

“At the root of every vibrant city is an urban forest”• Urban areas viewed as ecosystems

– People, infrastructure, and forest intermix/interact– “Ecosystem” key to scale issue

• Core Based Statistical Areas – Scale at which FIA can contribute

Page 9: Program Expansions A Brief History

Filling the GapUrban

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.

Page 10: Program Expansions A Brief History

Filling the GapUrban

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

Page 11: Program Expansions A Brief History

Filling the GapUrban

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

Page 12: Program Expansions A Brief History

Filling the Gap - Defining Urban

Page 13: Program Expansions A Brief History

Filling the Gap - Defining Urban

Page 14: Program Expansions A Brief History

Filling the Gap – Defining Urban

Page 15: Program Expansions A Brief History

Filling the Gap - Urban City Intensifications —Maintaining continuity with past Urban inventories

(I-Tree, FIA Urban Pilots, ARRA, etc.)• Overlay new FIA hex sampling frame on old urban grid

– If new hex contains FIA base grid plot then keepElse

– If new hex contains old grid plot then keepElse

– If neither base FIA nor old then add new plot• Possibility to maintain some historic trend data 

– If resources available

City Intensified Hexes

Old

New

Page 16: Program Expansions A Brief History

Filling the GapUrban

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

National Urban InventoryPlot Type in Urban Stratum Total Count FIA Forest Plots 2,051 FIA Non-Forest Plots 8,895Total FIA Plots 10,946

Page 17: Program Expansions A Brief History

Filling the Gap Rural/Urban Strata

Dual Plot Design Model

Rural StratumTraditional FIA Forestland

4 subplot cluster

Urban StratumSingle 1/6 acre fixed plot at subplot 1 on FIA non-forestland

Dual DesignOn FIA Forestland in Urban Stratum

= Percent of FIA plots

32.8%

0.7%

3.6%

Page 18: Program Expansions A Brief History

Filling the Gap -- Urban Urban Plot Size Options

Practical plot size in Urban areas:

1/10th acreUrban plot37.2 ft. radius

1/6th acre on par with rural

Else

1/10th acre same as i-Tree

Else

1/24th acre same as subplot 1

Page 19: Program Expansions A Brief History

Filling the Gap - Urban

Page 20: Program Expansions A Brief History

Filling the Gap - Urban

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 needsTheir future intentions for itTheir demographics

Extend NWOS to urban areasDifferent focus; different questions; same

foundational sampling frame/processing engine

Page 21: Program Expansions A Brief History

Filling the Gap – Urban Team

• National Urban Team – Mark Majewsky– Members from all Units/partners– IM Planning Sub-team (Mark Hatfield)– Reporting Sub-team (Tonya Lister)– Pre-field Sub-team (James Blehm)

• Plot sheet design (Cassandra Olson)• Navigational aids (Cassandra Olson)

– Field Guide Sub-team (Mark Majewsky)– PDR Sub-team (Jay Solomakos)– Ownership Sub-team (Brett Butler)– TPO Sub-team (Ron Piva)

Page 22: Program Expansions A Brief History

Filling the GapUrban

Logical Partnership with i-Tree– 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

Page 23: Program Expansions A Brief History

Filling the Gap--Urban Pr

efie

ld

Fiel

d

Proc

essi

ng

Ana

lysi

s

Dis

trib

utio

n

Stag

ed C

oope

ratio

n FIAI-Tree/D. Nowak

Conceptual Partnering Model

Old Model

State Pilot Model

New Model

Future Model?

Page 24: Program Expansions A Brief History

Filling the Gap --Urban FIA Lead

I-Tree LeadNew 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

Page 25: Program Expansions A Brief History
Page 26: Program Expansions A Brief History

Filling the Gap – Urban 2014

• Initiate Baltimore CBSA• Annualized 7-year cycle• ~29 City (red) plots/yr• ~14 Urban (blue) plots/yr• Partners

– Dave Nowak/i-Tree– Baltimore LTER– City of Baltimore– State

Page 27: Program Expansions A Brief History

Filling the Gap – Urban 2014

• Initiate Austin CBSA• Annualized 10-year cycle• ~20 City (red) plots/yr• ~4 Urban (blue) plots/yr• Accelerated City Cycle

– 1 or 2 years– Report out sooner

• Build Support

• Partners– Dave Nowak/i-Tree– State– City of Austin

Page 28: Program Expansions A Brief History

Filling the Gap - Urban 2015+Vibrant Cities 7-year plan: • Select at least 25 cities of various sizes and in multiple regions

to test new data gathering tools, providing for standard collection of assessment using identical methodologies and allowing comparison across municipalities.

• Encourage implementation of these tools by 2020 in: – 25% of cities with populations <250,000 – 50% of cities with populations of 250,000 to 1 million – 100% of cities with populations > 1 million

STATE CBSA sorted by area & urban base plotsLARGEST CITY

ACRES UAUC (blue)

BASE PLOTS UAUC

NY New York-Northern New Jersey-Long Island, NY-NJ-PA New York city 2435835 406GA Atlanta-Sandy Springs-Marietta, GA Atlanta city 1835256 306IL Chicago-Joliet-Naperville, IL-IN-WI Chicago city 1793357 299TX Dallas-Fort Worth-Arlington, TX Dallas city 1419858 237PA Philadelphia-Camden-Wilmington, PA-NJ-DE-MD Philadelphia city 1396086 233MA Boston-Cambridge-Quincy, MA-NH Boston city 1335650 223TX Houston-Sugar Land-Baytown, TX Houston city 1318641 220CA Los Angeles-Long Beach-Santa Ana, CA Los Angeles city 1261760 210DC Washington-Arlington-Alexandria, DC-VA-MD-WV Washington city 1090700 182MI Detroit-Warren-Livonia, MI Detroit city 1025429 171CA Riverside-San Bernardino-Ontario, CA Riverside city 860661 143FL Miami-Fort Lauderdale-Pompano Beach, FL Miami city 853111 142AZ Phoenix-Mesa-Glendale, AZ Phoenix city 845030 141MN Minneapolis-St. Paul-Bloomington, MN-WI Minneapolis city 823956 137FL Tampa-St. Petersburg-Clearwater, FL Tampa city 771211 129WA Seattle-Tacoma-Bellevue, WA Seattle city 759492 127MO St. Louis, MO-IL St. Louis city 713061 119PA Pittsburgh, PA Pittsburgh city 685440 114NC Charlotte-Gastonia-Rock Hill, NC-SC Charlotte city 633535 106FL Orlando-Kissimmee-Sanford, FL Orlando city 615752 103MD Baltimore-Tow son, MD Baltimore city 605767 101OH Cincinnati-Middletown, OH-KY-IN Cincinnati city 590262 98CA San Francisco-Oakland-Fremont, CA San Francisco city 547762 91OH Cleveland-Elyria-Mentor, OH Cleveland city 532904 89MO Kansas City, MO-KS Kansas City city 524331 87CA San Diego-Carlsbad-San Marcos, CA San Diego city 504835 84TN Nashville-Davidson--Murfreesboro--Franklin, TN Nashville-Davidson metropolitan government (balance)484356 81IN Indianapolis-Carmel, IN Indianapolis city (balance)480209 80FL Jacksonville, FL Jacksonville city 459627 77RI Providence-New Bedford-Fall River, RI-MA Providence city 462719 77CO Denver-Aurora-Broomfield, CO Denver city 448461 75CT Hartford-West Hartford-East Hartford, CT Hartford city 426870 71TX San Antonio-New Braunfels, TX San Antonio city 424969 71VA Virginia Beach-Norfolk-New port New s, VA-NC Virginia Beach city 424255 71OH Columbus, OH Columbus city 401566 67OR Portland-Vancouver-Hillsboro, OR-WA Portland city 388531 65TX Austin-Round Rock-San Marcos, TX Austin city 391194 65

STATE CBSA sorted by largest city popLARGEST

CITY CITY POP

CBSA TOTAL

POPNY New York-Northern New Jersey-Long Island, NY-NJ-PA New York city 8175133 18897109CA Los Angeles-Long Beach-Santa Ana, CA Los Angeles city 3792621 12828837IL Chicago-Joliet-Naperville, IL-IN-WI Chicago city 2695598 9461105TX Houston-Sugar Land-Baytown, TX Houston city 2099451 5946800PA Philadelphia-Camden-Wilmington, PA-NJ-DE-MD Philadelphia city 1526006 5965343AZ Phoenix-Mesa-Glendale, AZ Phoenix city 1445632 4192887TX San Antonio-New Braunfels, TX San Antonio city 1327407 2142508CA San Diego-Carlsbad-San Marcos, CA San Diego city 1307402 3095313TX Dallas-Fort Worth-Arlington, TX Dallas city 1197816 6371773CA San Jose-Sunnyvale-Santa Clara, CA San Jose city 945942 1836911FL Jacksonville, FL Jacksonville city 821784 1345596IN Indianapolis-Carmel, IN Indianapolis city (balance)820445 1756241CA San Francisco-Oakland-Fremont, CA San Francisco city 805235 4335391TX Austin-Round Rock-San Marcos, TX Austin city 790390 1716289OH Columbus, OH Columbus city 787033 1836536NC Charlotte-Gastonia-Rock Hill, NC-SC Charlotte city 731424 1758038MI Detroit-Warren-Livonia, MI Detroit city 713777 4296250TX El Paso, TX El Paso city 649121 800647TN Memphis, TN-MS-AR Memphis city 646889 1316100MD Baltimore-Towson, MD Baltimore city 620961 2710489

Page 29: Program Expansions A Brief History

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 Nation’s 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

Page 30: Program Expansions A Brief History

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

Page 31: Program Expansions A Brief History

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

Page 32: Program Expansions A Brief History

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 individual’s 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