1.0
DCPLUS
20220808
17461100
20220830
17461100
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Tree Equity Score
2022-08-08T17:46:11
2022-08-30T13:23:13
A Tree Equity Score is a metric that helps cities assess how well they are delivering equitable tree canopy cover to all residents. The score combines measures of tree canopy cover need and priority for trees in urban neighborhoods (defined as Census Block Groups). It is derived from tree canopy cover, climate, demographic and socioeconomic data.
The score is calculated at the neighborhood (block group) level and aggregated to the municipal level.
<p style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); margin-top:1.33333em; margin-bottom:1.33333em; color:rgb(55, 65, 81); font-family:"Open Sans", sans-serif; font-size:18px;'>The following describes our science-driven methodology for calculating Tree Equity Score in any city in the country.</p><h3 style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); margin:1.66667em 0px 0.666667em; font-size:1.33333em; color:rgb(17, 24, 39); font-family:"Open Sans", sans-serif;'>Step 1: A Neighborhood Goal</h3><p style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); margin-top:0px; margin-bottom:1.33333em; color:rgb(55, 65, 81); font-family:"Open Sans", sans-serif; font-size:18px;'><span style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); font-weight:600; color:rgb(17, 24, 39);'>Density Adjusted Canopy Target</span></p><p style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); margin-top:1.33333em; margin-bottom:1.33333em; color:rgb(55, 65, 81); font-family:"Open Sans", sans-serif; font-size:18px;'>The canopy target – which is meant to be equitable, aspirational and achievable – requires the following data:</p><ul><li>Tree canopy cover. High resolution tree canopy where available, the National Land Cover Database where it is not.</li><li>Census American Community Survey (ACS) 2018 5-year Block Group population estimates</li><li>Census ACS 2018 5-year city and block group Median Income estimates</li></ul><p style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); margin-top:1.33333em; margin-bottom:1.33333em; color:rgb(55, 65, 81); font-family:"Open Sans", sans-serif; font-size:18px;'>To identify a baseline canopy target, we use generalized natural biome baseline targets selected in conjunction with the USDA Forest Service. We select the baseline target based on the location of the municipality.</p><ul><li>Forest: 40%</li><li>Grassland: 20%</li><li>Desert: 15%</li></ul><p style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); margin-top:1.33333em; margin-bottom:1.33333em; color:rgb(55, 65, 81); font-family:"Open Sans", sans-serif; font-size:18px;'>This target is then adjusted based on population density to estimate a neighborhood goal. Based on research completed by The Nature Conservancy, adjustments are made using the following table:</p><table style='border-width:0px; border-style:solid; border-color:inherit; border-image:initial; text-indent:0px; border-collapse:collapse; width:688px; margin-top:2em; margin-bottom:2em; font-size:0.888889em; color:rgb(55, 65, 81); font-family:"Open Sans", sans-serif;'><thead style="box-sizing: border-box; border-width: 0px 0px 1px; border-style: solid; border-color: rgb(229, 231, 235) rgb(229, 231, 235) rgb(209, 213, 219); border-image: initial; --tw-shadow:0 0 transparent; --tw-ring-inset:var(--tw-empty, ); --tw-ring-offset-width:0px; --tw-ring-offset-color:#fff; --tw-ring-color:rgba(59,130,246,0.5); --tw-ring-offset-shadow:0 0 transparent; --tw-ring-shadow:0 0 transparent; color: rgb(17, 24, 39); font-weight: 600;"><tr style='box-sizing:border-box; border:0px solid rgb(229, 231, 235);'><th style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); padding-right:0.75em; padding-bottom:0.75em; padding-left:0px;'>Population Density (ppl/km2)</th><th style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); padding-right:0px; padding-bottom:0.75em; padding-left:0.75em;'>Target Canopy Adjustment factor</th></tr></thead><tbody><tr style='box-sizing:border-box; border-width:0px 0px 1px; border-style:solid; border-color:rgb(229, 231, 235); border-image:initial;'><td style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); padding:0.75em 0.75em 0.75em 0px;'>Very low (<2k)</td><td style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); padding:0.75em 0px 0.75em 0.75em;'>1.2</td></tr><tr style='box-sizing:border-box; border-width:0px 0px 1px; border-style:solid; border-color:rgb(229, 231, 235); border-image:initial;'><td style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); padding:0.75em 0.75em 0.75em 0px;'>Low (2k-4k)</td><td style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); padding:0.75em 0px 0.75em 0.75em;'>1</td></tr><tr style='box-sizing:border-box; border-width:0px 0px 1px; border-style:solid; border-color:rgb(229, 231, 235); border-image:initial;'><td style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); padding:0.75em 0.75em 0.75em 0px;'>Moderate (4k-8k)</td><td style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); padding:0.75em 0px 0.75em 0.75em;'>0.8</td></tr><tr style='box-sizing:border-box; border:0px solid rgb(229, 231, 235);'><td style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); padding:0.75em 0.75em 0.75em 0px;'>High (>8k)</td><td style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); padding:0.75em 0px 0.75em 0.75em;'>0.5</td></tr></tbody></table><p style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); margin-top:1.33333em; margin-bottom:1.33333em; color:rgb(55, 65, 81); font-family:"Open Sans", sans-serif; font-size:18px;'>Adjusting for population density makes for more achievable targets, while recognizing differences in plantable areas suitable for tree canopy. Note: Neighborhood goals are capped at 150% of the natural biome baseline target.</p><p style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); margin-top:1.33333em; margin-bottom:1.33333em; color:rgb(55, 65, 81); font-family:"Open Sans", sans-serif; font-size:18px;'>The formula for each neighborhood goal, <em>GOAL</em>, is as follows:</p><p style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); margin-top:1.33333em; margin-bottom:1.33333em; color:rgb(55, 65, 81); font-family:"Open Sans", sans-serif; font-size:18px;'><em>GOAL = Baseline target * Density adjustment factor</em></p><h3 style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); margin:1.66667em 0px 0.666667em; font-size:1.33333em; color:rgb(17, 24, 39); font-family:"Open Sans", sans-serif;'>Step 2: The Canopy Gap</h3><p style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); margin-top:0px; margin-bottom:1.33333em; color:rgb(55, 65, 81); font-family:"Open Sans", sans-serif; font-size:18px;'>The neighborhood canopy gap, <em>GAP</em>, is calculated by subtracting the existing neighborhood canopy from the density adjusted target, that is: <em>GAP = GOAL – EC,</em> where <em>EC</em> is % existing canopy for that neighborhood</p><p style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); margin-top:1.33333em; margin-bottom:1.33333em; color:rgb(55, 65, 81); font-family:"Open Sans", sans-serif; font-size:18px;'>The canopy Gap is then normalized to a score from 0-100.</p><p style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); margin-top:1.33333em; margin-bottom:1.33333em; color:rgb(55, 65, 81); font-family:"Open Sans", sans-serif; font-size:18px;'><em>GAP<span style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); font-size:13.5px;'>Score</span> = 100 * GAP / GAP<span style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); font-size:13.5px;'>max</span></em> , where:</p><ul><li>GAP<span style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); font-size:13.5px; margin-top:1.33333em; margin-bottom:1.33333em;'>max</span> is the maximum GAP value citywide for that indicator; and</li></ul><p style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); margin-top:1.33333em; margin-bottom:1.33333em; color:rgb(55, 65, 81); font-family:"Open Sans", sans-serif; font-size:18px;'><span style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); font-weight:600; color:rgb(17, 24, 39);'>Notes:</span> If the <em>GAP</em> is negative (i.e. Existing canopy is greater than the neighborhood goal), it is adjusted to 0 before normalizing to create the gap score. Also, if <em>Gap<span style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); font-size:13.5px;'>max</span> = 0</em>, then <em>Gap<span style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); font-size:13.5px;'>Score</span></em> is set to 0 as well.</p><h3 style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); margin:1.66667em 0px 0.666667em; font-size:1.33333em; color:rgb(17, 24, 39); font-family:"Open Sans", sans-serif;'>Step 3: The Priority Index</h3><p style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); margin-top:0px; margin-bottom:1.33333em; color:rgb(55, 65, 81); font-family:"Open Sans", sans-serif; font-size:18px;'>The Priority Index is developed to help prioritize the need for planting to achieve Tree Equity. The priority index includes the following equally-weighted characteristics:</p><ul><li><em>Income:</em> Percentage of population below 200% of poverty</li><li><em>Employment:</em> Unemployment rate</li><li><em>Race:</em> Percentage of people who are not white non-Hispanic</li><li><em>Age:</em> Ratio of seniors and children to working-age adults</li><li><em>Climate:</em> Urban Heat Island severity</li><li><em>Health:</em> Prevalence of poor mental, physical, respiratory, and cardiac health (composite index)</li></ul><p style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); margin-top:1.33333em; margin-bottom:1.33333em; color:rgb(55, 65, 81); font-family:"Open Sans", sans-serif; font-size:18px;'>These measures are normalized and combined to create a simple priority index from 0 to 1, where 1 indicates a greater amount of inequity. The indices, N, are calculated as follows:</p><p style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); margin-top:1.33333em; margin-bottom:1.33333em; color:rgb(55, 65, 81); font-family:"Open Sans", sans-serif; font-size:18px;'><em>N<span style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); font-size:13.5px;'>i</span> = (x<span style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); font-size:13.5px;'>i</span> - x<span style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); font-size:13.5px;'>i,min</span> ) / (x<span style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); font-size:13.5px;'>i,max</span> - x<span style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); font-size:13.5px;'>i,min</span>)</em> , where, for each indicator, <em>N<span style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); font-size:13.5px;'>i</span>,</em></p><ul><li><em>x<span style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); font-size:13.5px;'>i</span></em> is the value for that neighborhood for that indicator, <em>i;</em></li><li><em>x<span style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); font-size:13.5px;'>i,max</span></em> is the maximum value citywide for that indicator, <em>i;</em> and</li><li><em>x<span style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); font-size:13.5px;'>i,min</span></em> is the minimum value citywide for that indicator, <em>i.</em></li></ul><p style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); margin-top:1.33333em; margin-bottom:1.33333em; color:rgb(55, 65, 81); font-family:"Open Sans", sans-serif; font-size:18px;'>The Priority index, <em>E</em>, is then calculated as follows: <em>E = (N<span style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); font-size:13.5px;'>1</span> + N<span style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); font-size:13.5px;'>2</span> + N<span style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); font-size:13.5px;'>3</span> + N<span style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); font-size:13.5px;'>4</span> + N<span style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); font-size:13.5px;'>5</span> + N<span style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); font-size:13.5px;'>6</span>) / 6 , where N<span style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); font-size:13.5px;'>i</span> refers to each indicator value (income, employment, race, age, or climate)</em></p><h3 style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); margin:1.66667em 0px 0.666667em; font-size:1.33333em; color:rgb(17, 24, 39); font-family:"Open Sans", sans-serif;'>Step 4: Tree Equity Score</h3><p style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); margin-top:0px; margin-bottom:1.33333em; color:rgb(55, 65, 81); font-family:"Open Sans", sans-serif; font-size:18px;'>Tree Equity Score, <em>TES,</em> is calculated by multiplying the Baseline Gap Score by the Priority Index, simply:</p><p style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); margin-top:1.33333em; margin-bottom:1.33333em; color:rgb(55, 65, 81); font-family:"Open Sans", sans-serif; font-size:18px;'><em>TES = 100 <em>(1 - GAP<span style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); font-size:13.5px;'>Score</span> </em>E)</em></p><p style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); margin-top:1.33333em; margin-bottom:1.33333em; color:rgb(55, 65, 81); font-family:"Open Sans", sans-serif; font-size:18px;'>A lower Tree Equity Score indicates a greater priority for closing the tree canopy gap.</p><h2 style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); margin:1.86667em 0px 1.06667em; font-size:1.66667em; color:rgb(17, 24, 39); font-family:"Open Sans", sans-serif;'>Impact Measures</h2><p style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); margin-top:0px; margin-bottom:1.33333em; color:rgb(55, 65, 81); font-family:"Open Sans", sans-serif; font-size:18px;'>Achieving Tree Equity in cities provides numerous life-saving and quality of life benefits. Utilizing the power of i-Tree Landscape and new research funded by American Forests on job creation, we were able to quantify the co-benefits of achieving Tree Equity.</p><h3 style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); margin:1.66667em 0px 0.666667em; font-size:1.33333em; color:rgb(17, 24, 39); font-family:"Open Sans", sans-serif;'>Estimating Number of Trees from Tree Canopy</h3><p style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); margin-top:0px; margin-bottom:1.33333em; color:rgb(55, 65, 81); font-family:"Open Sans", sans-serif; font-size:18px;'>To estimate a general number of trees associated with an increase in tree canopy, we utilize a basic multiplier of 600 sq-ft (55.74 sq-m) of canopy area per urban tree assuming a medium-size urban tree crown width of 25-30 ft.</p><h3 style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); margin:1.66667em 0px 0.666667em; font-size:1.33333em; color:rgb(17, 24, 39); font-family:"Open Sans", sans-serif;'>Ecosystem services</h3><p style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); margin-top:0px; margin-bottom:1.33333em; color:rgb(55, 65, 81); font-family:"Open Sans", sans-serif; font-size:18px;'>The Tree Equity Score National Explorer calculate the ecosystem services benefit for the following year-over-year climate, air, and water benefits:</p><ul><li>Carbon sequestration in annual tons</li><li>Carbon Monoxide (CO) in annual tons</li><li>Nitrogen Dioxide (NO<span style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); font-size:13.5px; margin-top:1.33333em; margin-bottom:1.33333em;'>2</span>) in annual tons</li><li>Sulfur Dioxide (SO<span style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); font-size:13.5px; margin-top:1.33333em; margin-bottom:1.33333em;'>2</span>) in annual tons</li><li>Particulate Matter less than 2.5 Microns (PM2.5) in annual tons</li><li>Particulate Matter less than 10 and greater than 2.5 Microns (PM10*) in annual tons</li><li>Ozone (O<span style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); font-size:13.5px; margin-top:1.33333em; margin-bottom:1.33333em;'>3</span>) in annual tons</li><li>Rain Interception in cubic meters</li><li>Stormwater runoff avoided in cubic meters</li><li>Total annual economic benefit for all of the ecosystem services</li></ul><p style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); margin-top:1.33333em; margin-bottom:1.33333em; color:rgb(55, 65, 81); font-family:"Open Sans", sans-serif; font-size:18px;'>For each of the measures, a county-specific multiplier has been provided by i-Tree and multiplied by the proposed additional canopy cover area in each block group. For more information the methods used to make these estimations, you can review the <a href='https://www.fs.fed.us/nrs/pubs/gtr/gtr_nrs200.pdf' style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); color:rgb(17, 24, 39);' target='_blank' rel='nofollow ugc noopener noreferrer'>Summary of i-Tree Programs and methods</a>.</p><h3 style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); margin:1.66667em 0px 0.666667em; font-size:1.33333em; color:rgb(17, 24, 39); font-family:"Open Sans", sans-serif;'>Jobs supported</h3><p style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); margin-top:0px; margin-bottom:1.33333em; color:rgb(55, 65, 81); font-family:"Open Sans", sans-serif; font-size:18px;'>Tree Equity is a job producer and sustainer. American Forests supported research that used the U.S. Bureau of Economic Analysis’ Regional Input-Output Modeling System II (RIMS) to estimate the direct, indirect, and induced jobs from investing in urban forestry. Our jobs calculations rely on the following estimates and calculations:</p><ul><li><p style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); margin-top:1.33333em; margin-bottom:1.33333em;'>For every $1 million invested in the urban forest, 25.7 jobs will be supported</p></li><li><p style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); margin-top:1.33333em; margin-bottom:1.33333em;'>It costs, on average, $283 to plant an urban tree</p></li><li><p style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); margin-top:1.33333em; margin-bottom:1.33333em;'>Jobs estimated include full-time, part-time, and seasonal jobs- they are NOT full-time equivalent jobs</p></li><li><p style='box-sizing:border-box; border:0px solid rgb(229, 231, 235); margin-top:1.33333em; margin-bottom:1.33333em;'>These jobs do not carry a specific time dimension- the number of jobs would be divided by the number of years over which the investment occurs to get the average number of jobs supported each year.</p></li></ul>
Priority Index
Indicator Source Source Dataset
Percent in Poverty (pop. with income less than 200% of federal poverty level) U.S. Census Bureau American Community Survey 2014-2018 Block Group Table C17002
Percent People of Color (all people who are not white non-hispanic) U.S. Census Bureau American Community Survey 2014-2018 Block Group Table B03002
Unemployment Rate U.S. Census Bureau American Community Survey 2014-2018 Block Group Table B23025
Seniors (Age 65+) U.S. Census Bureau American Community Survey 2014-2018 Block Group Table B01001
Children (Age 0 -17) U.S. Census Bureau American Community Survey 2014-2018 Block Group Table B01001
Urban heat island and surface temperature USGS Earth Explorer USGS Landsat 8 imagery, thermal bands
Health Index: self-reported poor mental health, poor physical health, asthma, and coronary heart disease Center for Disease Control CDC PLACES Census Tract Estimates
Tree Canopy Cover
Location Source Source Dataset Resolution
All Urbanized Areas, unless listed below earthdefine U.S. Tree Map, 2020 1 meter
Massachusetts Municipalities Massahcusetts Geographic Information System MA Towns
Redlining Robert K. Nelson, LaDale Winling, Richard Marciano, Nathan Connolly, et al., “Mapping Inequality,” American Panorama, ed. Robert K. Nelson and Edward L. Ayers The Mapping Inequality Project
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
37e95fe0c2174f6683bfa3c24d8a2fc4
https://services1.arcgis.com/KUeKSLlMUcWvuPRM/arcgis/rest/services/Tree_Equity_Score/FeatureServer
Feature Service
EPSG