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Agenda Item 8B - Guide to Assessing Urban ForestsAGENDA ITEM # 88 NOVEMiliW. 24,2014 A Guide to Assessing Urban Forests INTRODUCTION Urban fores ts provide num ero us ecosystem services. To quantity these services and gu ide management to sus tain the se servi ces for futu re generations, th e structure or composition of the fore st must be assessed. Th ere are two basic ways of assess ing the structure or composition of th e urb an forest: Bottom-up approach. Field-based assessme nt s to measure th e physica l structure of the for es t (e.g ., species composition, number of trees)-typically use d for strategic reso urce manag eme nt or advocacy by conn ecting fore st structure, function s and valu es with management costs, ris ks, and ne eds. Top-down approach. Assess ments of ca nopy cover us ing ae rial or sa tellit e Images-use d to dete rmin e amo unt and distribution of tree cover, potentia l pl anting space and other cover type s. These two approaches provide different types of urban fo res t Information. The purpos e of this gu ide Is to outline the advantages, disadvantages and costs associated with various common assessment alternatives under these two approaches. USDA United States ~ Department of Agriculture m Forest ~Service Northern Research Station NAS·INF-24-13 2 A Guide t o Assessi11g Urbn 11 Forests THE BOTTOM-UP APPROACH: FIELD-BASED ASSESSMENTS The bottom-up approach Involves co lle cti ng fi eld data on vegetation. It provides th e most detailed Information needed fo r urban forest management and to assess urb an forest stru ct ure and Its assoc iat ed ecosyste m services and values (Tabl e 1 ). To aid In sampli ng or Inventorying urban trees and forests, and for calcul ati ng their ecosystem serv ic es and values, th e fr ee I-Tree Eco and Streets mode ls were developed (www.llreetools .o rg). Advantages: • Provides good estimates of basic forest In fo rm atio n need ed for management (e.g., num ber of trees and lo cation s, species composi ti on, tree sizes, tree health, ris ks) • Pro vides estimates of num erous ecosys tem se1v lces and th eir va lu es • Can be use d for mon itoring changes in fo rest composition and values Disadvantages: • Mu st co ll ect ac curate field data using techni cal metrl cs • Cost of data collection Cost: Varies with size and scop e of project. Volun teers, in-h ouse crews and hired cons ul tants have all been employe d fo r co llecting data. Hiring a co nsultant to carry out a typical I-Tree Eco sample of 200 plots could cos t $40,000 at a contracted rate of $200 per plot. Costs would decrease with volunte ers or stud ent labo r (e .g., $20,000 with stud ents; even le ss with volun teers). Sampling Intensity Is determin ed by the use r based on accuracy desired and reso urces ava il able. Accuracy: Vari es with sample size and accuracy of data collection; 200 one-t en th acre plots typically produces a relati ve standard error less th an 15 percent for the tot al pop ul ation estimate. THE TOP-DOWN APPROACH : URBANTREECANOPYCOVER ASSESSMENTS Thera are thre e co mm on top-dow n ap proach es for asse ssin g urban tree canopy cover and all three meth ods will prod uce estimates of tree and oth er cover types in an area, but with diHerlng reso luti on, costs, and accur acy. The th ree methods are: • NLCD analyses • High -resolution Image analyses • Aer ial photo Interpretation NLCD a nalys es AGENDA ITEM # 88 NOVEM BE R 24,2014 Th e Nation al Land Cover Da tabase (NLCD ) has tree and Impervious cove r maps (30-m resolution) for the entire con tiguous 48 states with percentage tr ee and percentage Impervious cover estimated for eac h pixe l. Th ese maps and data are av ail ab le for free an d can be loaded Into the free I-Tree Vue pr ogram to estimate tr ee cover and general ecosys tem services. Advantages • Free • Wall -to-wall cove rage of lower 48 states • Map s ecosys tem services In ad dition to tree cover dis tribution D isadvantages H igh rc.1olu li on (bel ow) v.(. 30-m im agery. • Relati ve ly course re solution (cannot see trees) • Better suited for state or regional analyses rath er than city scale or below • Typi ca lly und erestimates tree cover, on average, by about 10 per cen t. That Is, If tre e cover Is 30 percent, NLCD tends to estim ate 20 perce nt • Da ta from circa 2001 (updated map s are being developed ) C ost: Free Accuracy: Vari es with mapp in g zone, but tends to un derestimate tree cover by abou t 10 perc ent on average; use r ca n adjust ca nopy cove r percen tage In Individual pixels In I· Tree Vue to improve accuracy. High-resolu tion land cover With thi s approac h, lan d cover features are extracted from high-resolution aeri al or satellite Im agery using automated techniques. This process yie ld s a detailed map of t ree and ot her cover types f or a given area. Thi s approac h Is us ed for Urb an Tree Canopy (UTC) Assessments. For more Inf orma ti on go to: http://www.nrs.fs.f ed.us/urban/utc/ Advantages • Produ ces accurate, high-resolution cover map + Comp lete census of tree canopy loca tions + Int egra tes we ll with GIS Example of high-resolution land cover map. + Allows th e data to be summarized at a broad rang e of sca les (e.g., parce l to waters hed), enabling tree cano py to be relat ed to a host of demog raphic, planning, and biophy sical data • Locates po ten tially availab le spaces to plant trees • Can be use d to monito r locatio ns of cover change • The source imagery ne eded for the mapping Is ava ilabl e for the entire Uni ted States f ree of charge from the USDA Disadvantages • Can be cos tly If the data are low quality or In co mpl ete • Req uire s highly trained perso nnel along with spec iali zed software • Significant effo rt and time neede d to produ ce qu ality maps • Change analyses can loca te false changes du e to map In acc uracies • Does not Include ecosystem services reporting Cost: Varia ble depending up on availab le data. Development of city cove r maps are on the order of $5 ,000 to 40,000+ depe nd ing upo n size of city and availability of source data. Accut·acy: Depend s on the pro cessor and availabl e data, but Is typically 90 perc ent accura te for tree cover. The Incorporation of ad diti onal data , such as LIDAR, and/or th e Implementation of manual corrections can Increase th e accuracy to over 95 percent. Error matrix of map can detail actual acc uracy of the map. Photo~ interpretation Uses digi tal aerial images and a series of random points th at are Interpreted to determine th e cover typ e at each point ce nt er. Thi s process produ ces statistica l es timat es of cover with a known er ro r of est imation. A free tool (i-Tre e Cano py) AGENDA ITEM 118 U NOVEM BER 24,2014 A Guide to Asses.ti/Jg Urh11t1 Fo1 •cst 3 ca n be used to photo-i nterpret cover across the globe using Google Map stM. Photo interpretat ion has been used for accuracy asse ss ments of th e other top-down methods. Advantages • Low cost-most im ages can be acquired free ly (e.g., Google Earth or fro m cities or co unties ) • Cover assessment can be done quickly (e .g., availabl e pl anting space, tree , Impervious) • Acc uracy ca n be in creased by adding more points and can be ca lcu lated qu ickly • Can produce sub-area analyses and maps (e.g ., tree cover by neighborho od) • Multi-date paired imag ery can be use d to as sess change Phoro-intc tprctation involves cl:u.,ifylng randomly located points wicllln prcselcttcJ cover classes {e.g., trl!c, impe!Vious, wacu). Disadvantages • Do es not produ ce detail ed cover map • Photo-interpreters ca n create errors though m Is class I fi ca tio ns (trai ning and quality checki ng are recommended) • Lea f·off Imagery can be diff icult to Interpret O•n•pyu'•' 07"-IQ\O-. C]llll102010 c:J'liiJid·~ c~ ........ ........... .,,,~12t. • I· Tree Canopy Interp re tatio n limited to hig h Neighborh ood tree COVC!r in Toronto, Canada, dete rmined through phmo-incc rpretation. quality Goog le Images • Poor imag e quality In so me areas • Resulting data ca nnot be summ arize d at multiple, user-de fi ned scales Cost: At $10 per hour, co st Is about 10 ce nts per point (e.g., 1 ,000 points = $100). Costs Involve se t up and Interpretation time. Accuracy: A sa mple of 100 points will produce an estimate with a stand ard error of about 4.6 percen t (a ss uming 30 percent ca nopy cover) and ca n be Interpreted In about 1 ho ur. A sample of 1,000 points will produ ce an estima te with a standa rd error of about 1.4 percent (assuming 30 percent ca nopy cove r). 4 A Guide to Assessing Urbnn Forests Table 1.-Summ ary of feature s of four tvpes of urban forest analvses I-Tree I-Tree Urban Forest Attribute Ecoa Vueb Cover Amount or percent tree cover ./ ./ Specific lo catio ns and distributio n of tree cove r ./ Amount or perc ent potential planting space ./ Specific lo cation s and distribution of plantable space ./ Maps of tree cove r and plan tabl e space ./ Urban Forest Composition and Management Total numb er of tre es I tree density ././ Species co mpo si tion ././ Diam eter I size distribution ././ Species diversi ty ././ Spe cies Importance va lu es ././ Leaf area and biomass ././ Tree health .,/.../ Native vs. exotic composition ././ Invasive tree s ./.../ Risk to Insects and disea ses ././ Ground cover attributes ././ Ecosvstem Services and Values Air pollution remova l I hum an health ..././ ./ Carbon storage and annual se que stration ././ ./ Effects on building energy use ././ Rainfall intercep ti on ././ Structural value ././ Mapping of ecosystem services ././ ~onltorlng Change In tree cover Locations of tr ee cover change Change In species co mposition , serv ices and va lu es ././ ./ -procedure calculates attrib ute ./ ./-reco mm ended procedwe based on resoluti on, accuracy, and cost ./' -broad estimate s of services could be calculated base d on proce dure s In I-Tree •t-Tree Eco-fr ee program to assess ecosys tem services and values fr om fi eld bJ-Tree Vue -free progra m that uses NLCD cover data to map cover and estimate c1. Tree Canopy-free photo -Interpretati on tool to assess ca nopy cover an d monitor dCover map -hlgh·r~soluti~n cove r maps generated as part of a UTC assessment For more Information contact: David J. Nowak U.S. Forest Service Northern Research Station Syracuse, NY 315 -448-3212, dnowak@fs.ld ·~~. www.ltreetools.org . ~~ .. The USDA Is an equal opportunity provider and employer. I-Tree Canopyc ././ ././ .;• .;• ./* ././ Cover Map (UTC)d ./ ..././ ./ ././ ..././ ./* v• v• ./ ./.../ AGENDA ITEM# 8B NOVEMBER 24,201 4 AGENDA ITEM # 88 NOVEMBER 24, 2014 Urban Tree Canopy Assessments Supporting long-term green Infrastructure development, management, sustainability, and resilience. Urban and community trees and forests are part of the green infrastructure that complements a community's grey infrastructure (i.e. the built structures that support a city) and should be managed with equal importance. Urban Tree Canopy (UTC) assessments help communities determine how much of their land area is covered by trees, and the location/extent of those trees relative to the built structures, impervious hardscapes, and other green infrastructure components (e.g. parks, wetlands, riparian buffers, trail systems). UTC assessments look at both public and private tree canopy. These assessments should be developed to integrate with a community's geographic information system (GIS) so that tree canopy can be analyzed comprehensively in relationship to environmental, economic, and social issues at a range of scales (i.e. neighborhood, district, municipality, watershed). Urban tree canopy assessments can be used to support a wide range of programs within this overall green infrastructure concept; programs that support policy, ordinances, monitoring, stewardship, sustain ability, and goal setting to reach optimal levels of canopy and public benefit. UTC assessments should be developed and used to provide an easily understood measure of the community's progress in reaching community goals. Properly implemented, UTC assessment is a critical urban forest and green infrastructure management tool. When combined and analyzed with other readily available geographic information, the UTC assessment becomes a powerful tool for building coalitions to s.trengthen community resilience-encompassing technical, organizational, social, environmental, and economic elements. UTC assessment and analysis can be used to ... " " " " " " " Establish a baseline measurement to monitor health and ·change to set policy and goals (e.g. minimum canopy) support comprehensive plans and land use planning to develop ordinances to evaluate programs Create tree planting prioritization guidelines to support a wide range of objectives environmental justice issues urban heat island and energy conservation EPA voluntary air quality plans (SIP) EPA stormwater mitigation physical and psychological health related programs centered on walkable communities Develop disaster preparedness, response, and mitigation plans that includes urban tree risk management floodplain conservation to address catastrophic and recurring flooding debris planning and management to build and strengthen overall community resilience Support green asset accounting (GASB 34) as an indicator of environmental service productivity to monitor long-term condition and support payment for environmental services (PES) Provide a basis for urban forest sustainability long-term management of insect, disease, and herbaceous invasives anthropogenic impacts urban wood utilization Enhance green infrastructure development through the nodes and linkage concept (community scale) stormwater management (site level scale) interaction of natural and human systems (range of human activity from passive to active) Support watershed planning with neighboring partners Identify and enhance forested riparian zones stormwater management (flooding, infiltration) forest to faucet concepts regional greenspace and recreation planning Support an Urban Forest Sustain ability and Management Audit As an inventory and monitoring component supports Tree City and Tree Campus designations and growth awards r®~~ ~@J~ Urban Forestry South ~~~ October22,2014 w~,- ---~-. . - WHAT IS THE TREE ASSESSMENT The Tree Canopy Asses sment will p ro vid e data on the extent, needs, and potential of Chatham Cou nty's tree cover. It is the baseline data to measure and accoun t for the community's essential natural resources. Using ca nopy cover assessmen t, tree inventories, mapping, geographic information systems, and other tool s, the Tree Canopy Assessment provides a snapshot of where we've been, where we are now, and whet-ewe should be headed. A Canopy Assessment is a planning tool, putting the most reliab le data in the hands of decis ion make rs: • Elected Off icials • Planning Commissio ns • Park a Tree Departments • Community Organizations • Developers • Natural Resource Ma nagers • Uti lity Services • Schoo ls • Arborists • Tourism Counc ils • Engine ering Firm s • Urban Planners • Parks a Recreation Personnel AGENDA I TEM# 81l NOVEMBE1l24, 2014 Tools for Success "Know ledge is power, and a thorough tree canopy study gives busine ss and government the information we need to better serve Chatham County." Cathy Hill, Georgia Power Crime reduction Storm -wate r runoff Carbon emissions Stress reduction Water quality Energy conservation Coasta l erosion Air qua lity School performance Reduction of violence Eco-tourism Wildlife habitat Social capital Property value Physical fitness Safety Clean air Economic development Water conservation Skin cancer rates Healing Noise reduction Shade Cooling SAVANNAH TREE FOUNDATION Preserve. Protect. Plant. Since 1982. Knowing Our Trees "From their beginning, the Savannah Tree Foundation has been breaking ground and revolutionizing the way the people and governments of Chatham County think about and treat trees. With the canopy study, they are now taking the next essential step for the long-term sustainability of our urban forest." Bill Hubbard, Savannah Area Chamber of Commerce PRESENTS E AGENDA ITEM# SB NOVEMBER 24, 2014 Founded by local citizens over 30 years ago, the Savannah Tree Foundation is dedicated to the goal of improving the economic, social, health, and environmental conditions of Chatham County through protecting and growing the tree canopy. Trees planted across Chatham County Estimated value of just one of those trees over its lifetime The Savannah Tree Foundation is addressing opportunities and threats that Chatham County faces in maintaining a healthy urban forest tree canopy. Partnering with conununity leaders, local organizations, and the business community, the Savannah Tree Foundation is working to ensure that all of Chatham County reaps the benefit of trees into the future. In early 2014, the Savannah Tree Foundation implemented its new three- year sh·ategic plan. The cornerstone of this plan is a Canopy Assessment. The Canopy Assessment measures tree cover and evaluates the benefits of trees. It establishes the groundwork for unified community efforts to care for and plant Chatham County's trees. • Chatham Countis trees produce environmental benefits with 200% return on investment • Many of Chatham County's trees are over 100 years old • On the Georgia coast, trees are instrumental resources in protecting against flooding and erosion • Studies show that trees reduce violence, enhance school performance, make roads safer, and improve human health Time for a Plan "Trees are so important to our community. Our businesses, residents, and visitors depend on our trees. We must all work together today so that 100 years from now, Savannah's trees will still be one of our most valuable assets." MayorEdnalackso~ City of Savannah FORESTRY AGENDA ITEM# 8B NOVEMBER 24, 2014 Chatham County is its trees. Their beauty, their history, their shade-1ve all appreciate the significance of our community's h·ees. However, Chatham County's trees are aging, diminishing in number, and are in need of attention. It is time for a plan for the trees. In 1991, the Savannah Tree Foundation fast-tracked its understanding of community forestry and best practices by sponsoring a canopy study. The first of its kind in the nation and employing relatively new GIS technology, the study revealed an urban forest under siege. Over the 20 years preceding 1991, Chatham County lost 51,000 acres of canopy cover and the particular impact on Savannah's south side was deemed "catastrophic." STF used this study's findings to successfully promote local tree ordinances, which have mitigated deforestation and encouraged partial regeneration. Now, more than 20 years late1~ it is time for new data. Many of the community's urban forest stewards have made commendable efforts in caring for the tree canopy and their work deserves to be measured, recognized, and modeled. Other areas are still in need. With up-to-date data, historic change can be identified and emerging trends projected. The Tree Canopy Assessment provides the data and analysis needed for the nine local govenunents and numerous community partners throughout Chatham County to develop a cohesive Urban Forestry Master Plan. It provides a game plan for achieving specific, measurable goals based on hard data. Having a Master Plan mep.ns improved daily operations with conclusive data, consistent development standards, and specific action plans and implementation strategies. • Prioritize planting for areas throughout the county in the most need of new trees • Improve protection and preservation of public trees • Develop ongoing maintenance plans for public trees • Create cohesive tree ordinances across municipalities to unify.and simplify standards for improved development planning • Promote outreach to students involved in environmental studies City of Fo nd du Lac Fond du Lac s tree t trees provide million s of dollars of environmental, economic and aes thetic benefits to the community. Over their lifet ime, street tree benefits excee d the costs of planting and care, representing a 300 percent return on inves tment. Tree benefit s Inc rease over time highli ghting the importance of not only plant ing trees , but of providing ongoing main ten an ce and protection. These benefit s are a reminder of the worthwhile inves tment in our community forestry program. STORMWATER RUNOFF REDUCTION $496,340 C Ol REDUCTION $67,558 ENERGY SAVINGS $507,844 Trees: • Reduce stormwater runoff AGF.NOA ITEM 118B NOVEMBE R 24,2014 • Lower summer a ir temperatures • Reduce air pollution • Reduce heating and cooling costs • Reduce atmospheric carbon dioxide (C02) • Enhance property values • Provide wildlife habitat • Improve health and wellbeing • Improve learning and concentration • Provide aesthetic benefits PROPERTY VALUE INCREASE AIR QUALITY IMPROV EMENT $82,042 j Trees Reduce Storm water Runoff and Improve Water Quality Trees redu ce peak scor mwa cer runoff anti ;~ssocla ced poll u c;~nts enterin g local warcr bodies. Trees reduc e storm water volume s by Intercepting a portion of rainfall, whi ch evaporates and neve r l'eachcs th e groun d. Tree roots also inc rease rainfall infiJcration and st orage in the so il. And tree ca no pies red uce soil eros ion by diminishing th e imp act of raindro ps on barren s urfaces. Streettrees In Fond dulac Intercept 18,313,847 gallons of water annually for a savings of $496,340. Trees Reduce Atmospheric Carbon Diox id e Trees red uce atmospheric cm·bon by captutiJJg and scori ng C02 as they grow. By reduci ng demand for heat ing and cooling, trees in d irectly reduce C02 by avoiding power pl;~nc em issio ns associa t ed with energy produ ction. Street trees In Fond du lac capture 2 ,5 86 tons of atmospheric C02 per year. Annual savings Including Indirect costs are $67,558. Street trees a ls o store approximate ly 24,518 tons of atmospheric C02 for a total savings of $367,768. Trees hnprove Air Quality Trees improve air quali ty by trapping particu late s, a bsorbing gaseous pollutants, and releasing oxyge n. By cooling urban heat Islands nnd shadi ng parked ca rs, trees in direc tly reduce ozo ne level s. The Environme ntal Pro te cti on Agency recognizes tree pl an ting as an o2o ne redu ction measu re in st are impl eme nt ation plans. Street trees In Fond dulac r e move 1,227 lbs. of particulate matter, 2,2531bs. of ozone, 1 021bs. of sulfur dioxide and 378lbs. of nitroge n oxides annua lly. Total annual savings Including Indirect cost are $82,042. Wi sconsin De partment of Natural Resources dnr.wl.gov lh• W11e0nsln Oep•~ooenl of Natur•l Rt&ourus prcMdes equ1l OjJpM~nlly In Its employment, programs. servl~es. •nd lunellons Under illl Allltnullvt l,r.llon Plan. II you have 1ny questions, plem wrlle to Equal Opponuni\Y Onlc.~, Deputment or InteriO r, Wuhlngton, D.C. 202•0. Trees Save Energy AGF.NDA ITEM II 8B NOVEMBEil24, 20 14 Trees reduce the demand for energy to heat and cool buildings by providing s hade, lowering summertime temp era rures, :md reducing wind speeds. Sccon daty benef1ts arc reduced water co nsumption and pollutan ts emissions by lo cal power plants. Stree t trees In Fond du lac save approximately 2,443 MWH of e lectricity a nd 328,992 Therms of natura l gas annually for a savings of $507,844. Trees Improve Property Valu es and Beautify Our Cmn1nunit i es Trees are the single strongest positive influ ence on sce nic quality in our community! They increa se the attractiveness of rera il bu siness areas. Sntdlcs found s hopper s arc willing to pay ttp to 11% more for good s and service s in a well~ land scape d bu sin ess district. Trees in crease properry value s. People will pay 3~7% more for p roperties with many trees . Trees foster safer and more sociabl e neig hborhoo ds. Views of t rees ease mental fatigue and stress, hel p co nce ntrati on , reduce sickness , and provide settings for recreation and rel axation. Tree s also hel p reduce noise, p rov id e a re fu ge for wildlife, and help co nn ect: reside nts with thei r natural environment. Street trees In Fond du Lac Increase property valu es annua lly by $607,879. .. I Diversity Improves Urban Fores t ;;-Resilience A d iverse palette of trees bclps guard aga inst catastrophi c loss to in sects and disease s or environ met\tal s tresses. A genera l guideli ne for urban fores t cliversity is no more than 5% of any one species, 10% of tmy one genu s. Maple, Ash and Hon eylocust trees are ove r-re presente d on Fond dulac's stree ts. This j eopardizes $1,511,915 of the city's urban forest's b e nefits from p ests such as emerald ash borer (EAB) and Asian long horned beetle (ALB). Enlist the public to he lp Increase Fond duLac's urban forest reslllence by planting less common trees on their own prope rty. • Analysl~ wu conduCied using ffiee Streets.ITtee SireNs Is ~ Jlrce r tree managemen t 1nd an1lysls tool for urban foreu m•n•gers 1h01 uses tree Inventory data to quantify the dollu v1lue of ~nnua l envlronm ent.l l and usthetlc benefits. The ITree Suite Is • free state·of·th e·art peer-review~ software suite fron~l ht USDA Forest Servlco. www.ltreetool.org. Tree graphic concept courtesy of City or New York Departmen t of Parks & Recrea tion. AGENDA ITE M II 8B NOVEMllER 24,20 14 City of Fond du Lac What is the Urban Forest and Urban Tree Canopy? The Urban Forest consists of all public and p rivate trees and shrubs in our community . This includes trees in yards, parl<s, open spaces, along streets and other land where t rees are prese nt. One way to underst and t he valu e of urban fores ts is by envi s ioning t he la yer of leaves, branches and tree st ems w he n viewed from above. This layer is called Urban Tree Canopy (UTC). Why is Urban Tree Canopy important? While we may not think of city t rees as a typical "fores t," t hese trees provide valuable se rvices and benefits. Trees In our community: • Red uce storm water runoff • Lower summer air temperatures • Reduc e air pollution • Redu ce heating and cooling costs • En hanc e prop erty valu es • Provide wildlife habitat • Improve health and wellbeing Imp rove lea rning and concentration • Provide aesthetic b enefits UTC benefits ca n be quantified. A singl e large tree ca n provide approximately $76 in average annual net ben efit s, $3,000 ln bene fit s over a 40-year period. An increa se in UTC brings an associate d increase in benefit s. How much Urban Tree Canopy does Fond du Lac have? • An ex isting tree canopy of 15% (1 ,991 acres) • Trees co uld potenti ally cover an additional 53% (6 ,780 acres ) of the city's land surfa ce. Th ese "Possible UTC" areas Include gras s, agric ulture la nd, and Imp ervious surfaces (e.g., parking lots, pave d playgrounds & ROW). • The re maining 32% (4,154 acres ) ofthe city's area Is buildings, streets, water and other perman ent feature s and Is ge nerally unsuite d to UTC Improvem ent. ------------------, I I I I POSS I BLE -~ UT C I I : Grass & Shrubs Structures, Streets L-------------------1 6% Water Many factors deter mine where best to plant urban tr ees. UT C analysis shows where additional trees will hav e the greatest positive impact. Green Bay Metro Areal : Fox Vall e y Metro Area 3: Tree Ca nopy.................................. 24% Possible UTC................................. 56% Tree Ca nopy.................................. 20% Possible UTC ................................. 55% 1 Analysis was conduc ted using I Tree Canopy. !Tree Canopy offers a quick and easy way t o produce a statistically valid esti mate off and cover types (e.g., tree cove r) using ae ria l Images available In Google MilpS . The !Tree Suite Is a free state·of·the·art, pee r·revlewed software suit e from the USDA Forest Se rvice. www.ltr ce tool.org ' Alt oue:, Ashw aub en on, Bellevue, OePere, Green Bily, Hobart, Howard • App leton, Greenville, Kaukauna, Kimber ly, little Ch ute, City of Men;uha , Town of Menasha, Neena h Why s hould Fond du La c set g oals for UTC? As urban devel opment expands, it is In creasingly Important t o bal ance growt h wi t h en vironmen tal wellbeing. To maxitnize UTC bene fits, co mmuniti es should s et goals to protec t , main tain and enhance their ent ire urban fo rest . Ca reful planning and go al setting are necessary to ret ain as mu ch mature tre e ca nopy as possible in areas with devel opm ent pressure a nd to exp and and sust ain canopy In alread y urbanized areas. UTC goals can e mphasize environmental quali ty (storm wa t er, air q ualit y, carbo n offsets), livability and eco nomic vit ali ty. Th ough many com munities h ave adopted land use s trat egies ro mitiga te sprawl, few have developed land co ver strat egies lil<e UTC to mitigate urbanization effec ts . Urban Tree Cano py Assessme nt , Northern Res earch Sratl on, USDA Forest Service , http://nrs.fs.fe d.us/urban/utc/ Watershed Forestry R~source G uld~. Urban T ree Canopy. http://www.fores tsfo r watersheds.org/urban-tre e -canopy/ Urban Na tu ral Resou rcc!l Ins t lrutc, http://www.unrl.org/we bcasts/a rchlve/ march-2011 a/ Soc iety of Municipal Arborists, Urba n Fo res t ry BM Ps , http://www.urban-fore stry. com/sma-u rban-fore stry-bmps A G ENDA ITEM fl. 88 NOVEMBER 24,201 4 Effec tive UTC goal setting requires invo lve ment and com mitment by muni cip al leaders and st aff, local b usiness comm unity, ne ighborh ood grou ps an d citizens. The proc ess generall y includes fo ur steps: • Assess Current UTC -Ca n use I Tree Canopy An alysis or GIS t o ar rive at UTC base lin e. Assess Possible UTC -Ide nt ify opportunities on borh public and private lan d. • Adopt Goals Based on Asses sme nts -If possible, institu t ionalize goals in appropriate ordinances, policies, or com muni t y master plan. Develop Impleme ntation Plan -Id entify st rateg ies t o mee t goal s based on av ailable reso urces, political cli mate and stakeholde r need s. Produce t imelin e and id entify pnnies re spo nsibl e for eac h strategy . Plant New Trees -Id enrify and priori tize planting sites comm unity-wide. -Assess species diversity ne eds. -[denrify how trees will be maintain ed . Protect & Maintain Existing Trees -Adopt n ee protect io n ordinance and conse r vation easements. -Produce a tree management plan. -Ensure proper p runing in u t ility corridors. Minimi ze & Restore UTC lost to Age, Mortality & land Conversion -Spec ify strategies within Comp rehensive Land Use Pl an (e.g. Smart Growth). -Ad opt subdivisio n , zon ing, and landscaping ordin ances. -Jdenctfy impac t from EAB and pote ntial man age ment s tra tegies. Promote Public Education & Awareness -Promo te tre e benefi ts (e.g., com muni ty webs ite , news letter, w ater bill in se rt) -Promote prope r tree planting (e.g., Arbor Day, w orkshops) -Deve lop or parti cip at e in ca mp aigns (e.g .. Firs t Downs for Trees, Taking Root in Oshkosh) Wisconsin Department of Natural Resources dnr.wf.gov Tht Wl$conll n Oepa r1mon 1 of NaiUr~l Resources provides equal opportunity In Ita employment prOQr~ms, servlus. ~nd IUII(IIons under an Alllrm~llve Acllon ~n. II you ll1ve any qunllons, please wllte lo Equ.~l Opportunity Ollk:e. Dep.utment or lnlerlor, Wlshlnglon. D.C. 202~0. 1~ [) FSVD Rorida Forestry Ser1... ·!?e. Introduction 8 Building Owners & Mana... .;:"' Forum, Log In ~Bids in Florida Florida Bid .. , '!!!J Giants. com News & Slogs EJ Secure Customer Login P... @Buy Trees and Learn Abou ... i-Tree Canopyv6.1 Percent Cover (±SE] 22.G 21;.2 14.G !!.~0 ..C..20 ::1.137 :.:1.97 .!1.5~ :.125 :!.1.82 10.7' I I I I I S· 1~1 t m Cover Class Latitude longitude lrmpervious other 41,74094\ -72.65320 i: Him pervious Road 41.74315[ -72.66277: ,Tree/Shrub ( 41.76941( -72.68937; [Grass/Herbaceous ' 1 [ 1 _ 41.787381 -72.69409. :_jTrel'/Shrub 41.734791 -72.672161 ~~Impervious Other ! 41.789461 -72.66989: 7 \Tree/Shrub 41.79791[ -72,71115 :· _s __ 1 Tree[Shrub ! 41.743691 -72.66156: 1 .:__]Grass/Herbaceous I 41.804021 -72.71483. ~~-~Grass/Herb~_ceous _, ___ _1 __ ~79908 L_ ___ -72.65136_' 1, + (i3 CJ Page D of SO ,.> ,.., View 1 -10 of 500 l Save Your Data 0 save Data Save Early. Save Often. Don't lose your project data! ~ http :/.h. I.·~·-,~:-.• .itreeto o Is. o rg/ can a py/ re.po rt. ph p ,:~ ~ FSVD Florida Forestry Serv... ·~.Introduction 8 Building Ownm & Mana... ';:" Forum> Log In X Bid< in Florida Florida Bid .. , !!!J Giant<. tom New< & Slog< ~j Secure Customer Login P... @Buy Tree< and learn Abou ... [-[ ·Cover Class Grass/Herbaceous Tree!Shrub Impervious Buildings Impervious Raad Impervious Other 'Nater Soil/Bare Ground I [[) Hi Description I I:J Abbr. I H T IB IR 10 w s Tree Benefit Estimates Abbr. I Benefit Description I ValUe co Carbon Monoxide removed annually $2.042.42 N02 Nitrogen Dioxide removed annua[Jy $1,955.81 03 Ozone removed annually $77,039.58 PM2.5 Particulate Matter Jess than 2.5 microns removed annually S156, 116.15 S02 Sulfur Dioxide removed annually $120.28 PM10' Particulate Matter greater than 2.5 microns and less than 1 0 $26,900.62 microns remolfed annua][;r C02seq Carbon Dioxide sequestered annually in trees S228,850.49 I V·/ Points 113 131 74 43 105 21 13 I ±SE I :!:153.30 :!:146.80· :!:5,782.38 ±11,717.65 ±9.03 ±2,019.09 ±17,176.88 I I %Cover 22.5 :!:~.87 25.2:!:1.97 14.8:!:1.59 8.60±1.25 21.0 :!:1.82 4.20:!:0.90 2.60 :!:0.71 Amount I ±SE 3.29T :!:0.25 8.~5T :!:0.61 57.57T :!:4.32 2.86T :!:0.21 1.54T :!:0.12 7.99T :!:0.50 11,818.75T :!:887.03 C02sto Carbon Dioxide stored in trees (Note: this benefit is not an annual r rate} S7,363.432.20 :!:552,678.82 380,277.02 T ±28,542.54 ,"-T~:? ':'ar:~,.,:r A('!O.!.!E:I' Tree Se..,·M't .8:im9t~:-:!:l=>=2C ::l~ tb=::-:e •o;;;!u-?:: in !!J.:-"E;~rs.•j•''".:;r.d !..-T·J··:-: CC ~-{:-'2@ .$•?.22 :Z7: t.JO: 5.35:2@. E'2~0"SD i CS 3:5,050@ s-: . .?42.55 I :=t~·~2.;--: :::.3'5@ s;...r_,;.;:-c. -:6 f :502 ·t_Q.?O<S! s:-~.2~ l·o:-,1,.;:'0"5 Z-!4@ S.J,S;:-.1'.g I ":02:::~ ::-.21~.-(95 ·~1-S19 .l.31 CC'2:::t::: ... i.: c t::J.:ar~.'-:>m2:-.; a.":'i=-un~ c.f25""'.Z55.-355 ~~ .::19 . .:!;] ,r•:-:::.:::· Si~r;~'?rd -!:! ...... ::•·: !:f re ...... ·:·\'5/ ?.iTTOJ''1::; :;,.,,:.· .?-= . .,-=r.t= ,,·,;,rg cch:-u,'2l!o;~' Cas-.,;:.~' c>'l.=!:; . .,d:::J.rr.' t-~r: c·f,:;;mpt~?~' 5'1d c··;;::-•f<e.:J _o:>it:f:: OUR TEAM ERIN GIVENS, CA WALTER. GIVENS JOHN HOLZAEPFEL, CA, ACF, CF ERlC HOYER, CA, RCA, CF CHARLIE MARCUS, CA AGENDA ITEM# 88 NOVEM B ER 24,2014