i-Tree Eco Analyses in the GTA Evaluating the Ecosystem Services Provided by Our Urban Forests Outline • Introduction to i-Tree Eco • Collaboration on GTA studies • Toronto study results • GTA study results • Next steps www.itreetools.org Rationale for i-Tree Eco Studies • USDA Forest Service i-Tree suite provides science-based analysis and benefits assessment tools • Eco uses field plots, air pollution and meteorological data to quantify urban forest structure, environmental effects and value • Generates baseline data that can inform management decisions, policy and strategic planning GTA i-Tree Collaboration • 2008 TRCA joint planning session – i-Tree experts, researchers, users from GTA and other Ontario municipalities • Harmonized study design & methodologies • Potential for consolidating data in future • Opportunity to raise profile of urban forests • Connected UF professionals across the GTA Toronto Study Elements • In Toronto: i-Tree Eco “plus…” 1999 basics Field data collection (407 plots) i-Tree Eco data analysis (USDA) plus 2005 extras Measuring land cover change using orthophotos i-Tree Hydro, Grow Out modeling Forest & land cover change analysis Digital land cover map Street tree data Automated land cover classification using 0.6m Quickbird satellite imagery *Tree canopy is approximately 20% Cu m be r la nd Bu rl i ng t An on na po lis Pi tts bu rg h Bo st W on as hi ng to n To ro nt o Ba lti m or De e s M oi ne s Le es bu rg Ne w Yo rk Pr ov id en ce Pu rc el lvi lle Fr ed er ick Ca lg ar y Goal: Achieve & maintain between 30-40% Toronto’s tree cover is average compared to cities of similar size. Toronto’s urban forest is a vital city asset with a replacement value of $7 billion. Distribution of Tree Cover Goal: More even/equitable distribution of tree cover Average tree cover by ward Average tree cover by neighbourhood • Distribution of tree cover is uneven • Data can be used to prioritize planting areas Private 60% City 40% Ownership 60% located on private property 6% located in City road allowances 34% located in City parks and natural areas Private property owners control a majority of the City’s existing and possible tree canopy. Land Use Affects Tree Canopy Goal: Improve distribution & quality of tree cover Generalized Land Use % Tree Cover % of City’s land area Parks 44% 11% Open Space 27% 6% Residential Single 24% 41% Residential Multi 16% 6% Institutional 15% 7% Other (vacant) 14% 7% Utility & Trans 12% 4% Commercial 5% 7% Industrial 4% 11% Land use affects • Distribution of forest cover • Species composition & diversity • Average tree size Land/Forest Cover Change (*preliminary) Land & Forest Cover Change: 1999-2005 50 45 46.2 47.7 Biggest change in neighbourhoods (-1.3%) 40 percent 35 31.4 30.6 30 25 20 20.6 19.9 15 Tree Cover -0.7% 10 5 0 Hard surface Soft (pervious) surface Forest cover Forest Composition & Condition Goal: High diversity, appropriate species, healthy trees Top tree species by leaf area (m2) 16 Average tree condition (% of population) 12 10 50% 8 45% 6 40% 4 0 rw No ay All Trees Street Trees 35% 2 m r h h le le m le ne ce da el as as pi ap ap ap ru n n ce n m ite sp ia rm rm e ia h a ee t c r e a i e r r t b t g W e s lv G hi wh ito Si Su Au W Am an rn M te s Ea le ap species percent of population percent cover 14 30% 25% 20% 15% 10% 5% 0% Excellent • • • Good Fair Poor Good species diversity overall - 144 species & cultivars Exception - maple & ash (41%) Majority of trees are in good condition (exception: street trees) Forest Size Class Structure Goal: Maintain regeneration, reduce mortality, increase % mid- to large-size trees Size class distribution compared to ideal 70 60 All trees percent of population Suggested ideal 50 increase 40 30 20 10 0 0-15.2 15.3-30.5 30.6-45.7 45.8-61 61+ tree size class • • • Number of large trees relative to small is low Have good regeneration, but Large trees provide maximum benefits Value of Ecological Services Provided by Toronto’s Urban Forest Annual equivalent value = $60 million+ • • • • • Carbon storage = 1.1 million tonnes Carbon sequestration = 46,700 tonnes Building energy reduction = 41,200 MWH Avoided carbon emissions = 17,000 tonnes Air pollution removed = 1,680 metric tonnes Hydrology • i-Tree Hydro shows reduction in stream flow rates with increased forest cover • % impervious cover has more significant effects 0 Bridle Path-Sunnybrooke-York Mills Rosedale-Moore Park High Park-Swansea Princess-Rosethorn The Beaches Forest Hill South)/Forest Hill North Lansing-Westgate Humewood-Cedarvale Lambton Baby Point Cabbagetown-South St.Jamestown Cliffcrest Edenbridge-Humber Valley Thistletown-Beaumond Heights Leaside-Bennington Runnymede-Bloor West Village Lawrence Park North/Lawrence Park South Scarborough Village Humber Heights-Westmount Blake-Jones Kingsway South Bedford Park-Nortown Newtonbrook East Bayview Village O'Connor-Parkview West Hill Banbury-Don Mills Willowdale West South Parkdale Casa Loma Guildwood Broadview North East End-Danforth Woodbine Corridor Parkwoods-Donalda StAndrew-Windfields Crescent Town Beechborough-Greenbrook Oakridge Bendale Newtonbrook West Thorncliffe Park Don Valley Village Bathurst Manor Weston Willowdale East Markland Woods Old East York Mount Dennis Woburn Flemington Park Highland Creek Rexdale-Kipling Victoria Village Dufferin Grove Agincourt North L'Amoureaux Kennedy Park Tam O'Shanter-Sullivan Henry Farm Playter Estates-Danforth Birchcliffe-Cliffside Long Branch Palmerston-Little Italy Oakwood-Vaughan Malvern Pleasant View Junction Area Alderwood Woodbine-Lumsden Clairlea-Birchmount North Riverdale Hillcrest Village Islington-City Centre West Annex Dorset Park Wexford/Maryvale New Toronto Kensington-Chinatown Church-Yonge Corridor Downsview-Roding-CFB Roncesvalles Danforth Village - East York Weston-Pellam Park Dovercourt-Wallace Emerson-Junction Trinity-Bellwoods Corsa Italia-Davenport Bay Street Corridor Moss Park Mimico Keelesdale-Eglinton West Humber Summit Yorkdale-Glen Park Milliken average home sale value ($10Ks) Average home sale value compared to tree cover in Toronto neighbourhoods 450 400 350 Tree cover 300 Home sale value 250 Linear (Home sale value) 200 150 100 50 Other values? Benefits of i-Tree Eco Study for Toronto Urban Forestry Provides baseline information and a monitoring framework to inform management of the urban forest. Results support current program direction & priorities. Confirms that 60% of the urban forest is on private property - supports rationale for new policy/programs. Provides an important information platform to continue engaging other operating divisions, Council and the public. Study Elements • Peel and York Regions – – – – – i-Tree Eco Digital Land Cover Map Priority Planting Index Grow-out Scenarios i-Tree Hydro • Ajax and Pickering – i-Tree Eco – Aerial photo interpretation 85 215 217 199 207 214 224 200 Canopy Cover and Leaf Area Table 1: Canopy cover and leaf area metrics for study areas Study Area Canopy Cover Leaf Area (km2) Leaf Area Density Mississauga 15 % 223.8 0.78 Brampton 11 % 145.2 0.54 Caledon East 29 % 13.1 2.74 Bolton 17 % 13.5 0.80 Toronto 20 % 1015 1.60 Ajax 18 % 85.6 1.27 New York City 21 % 740.6 0.93 Urban Forest Distribution • Text • Etc Figure 1: Existing and possible tree canopy in Peel study areas summarized by service delivery areas (SDA) Priority Planting Index • Summarized by small geographic unit (SGU) • Prioritize areas of high population density and low canopy cover • Equitable distribution of ecosystem services Figure 2: Priority planting index in Mississauga summarized by small geographic unit Distribution by Land Use Agriculture Existing TC Possible TC Vegetation Commercial Possible TC Impervious Industrial Not Suitable Institutional Natural Cover Open Space Other Residential Low Residential Medium / High Utilities & Transportation 0 2,000 4,000 6,000 8,000 10,000 12,000 14,000 16,000 18,000 20,000 Hectares Figure 3: Existing and possible tree canopy in Peel study areas summarized by land use Species Composition - Mississauga 14 Leaf Area 12 Stems Percent of Population 10 8 6 4 2 0 sugar maple Norway maple green ash Manitoba maple white ash blue spruce red pine Austrian pine willow spp. white spruce Tree Species Figure 4: Dominant tree species in Mississauga by percent of total leaf area and total number of stems • 10 most common species account for 57% percent of all trees • 56 % of species are native to Ontario • 58 % of all trees are planted Species Composition - Brampton 35 Leaf Area Percent of Total Species 30 Stems 25 20 15 10 5 0 white spruce European white ash buckthorn Norway maple Manitoba silver maple hawthorn eastern blue spruce sugar maple maple spp. cottonwood Tree Species Figure 5: Dominant tree species in Brampton by percent of total leaf area and total number of stems • 10 most common species account for 72% percent of all trees • 43 % of species are native to Ontario • 20 % of all trees are planted Tree Size 90 Mississauga 80 Brampton Percent of Total Stems 70 Caledon East Bolton 60 Recommended 50 40 30 20 10 0 < 15.3 cm 15.3 - 30.5 cm 30.6 - 61 cm > 61 cm Diameter Class Figure 6: Diameter class distribution of trees in Peel study areas In Brampton a tree that is 65 cm in diameter stores 10 times more carbon and 75 times more pollution than a tree that is 11 cm in diameter Air Pollution Removal 250 Annual Removal Value: Mississauga: $4.8 million Brampton: $ 3.2 million Bolton: $110,000 Brampton 200 Volume Removed (tonnes) Annual sulfur dioxide removal in Mississauga = Annual sulfur dioxide emissions from 19,100 automobiles Mississauga Bolton 150 100 50 Annual PM10 removal in Brampton = Annual PM10 emissions from 170,700 automobiles 0 CO NO2 O3 PM10 SO2 Pollutant Figure 7: Annual air pollution removal by trees in Peel study areas Climate Change Mitigation • Carbon storage = 405,000 tonnes or $11.5 million • Annual carbon sequestration = 19,050 tonnes or $ 544,000 • Annual residential energy savings = $2.4 million • Annual carbon emissions avoided = 4,300 tonnes or $128,000 Carbon stored in Mississauga = annual carbon emissions from 167,400 single family homes Carbon stored in Brampton = annual carbon emissions from 116,000 automobiles Next Steps • Urban Forest Strategies and Management Plans – – – – Educate and engage Protect Maintain Plant • Monitoring and Research – – – – Repeat at 10 year intervals Evaluate trends Anticipate future challenges Pursue partnerships • Regional Study – Municipal comparisons – Encourage provincial support Acknowledgments Andy Kenney Rike Burkhardt City of Toronto Urban Forestry Meaghan Eastwood Toronto and Region Conservation Authority Ecology Division