Skip to Main Content
Selecting reference cities for i-Tree StreetsAuthor(s): E.G. McPherson
Source: Arboriculture and Urban Forestry 36(5): 230-240
Publication Series: Scientific Journal (JRNL)
Station: Pacific Southwest Research Station
PDF: View PDF (1.22 MB)
DescriptionThe i-Tree Streets (formerly STRATUM) computer program quantifies municipal forest structure, function, and value using tree growth and geographic data from sixteen U.S. reference cities, one for each of sixteen climate zones. Selecting the reference city that best matches a subject city is problematic when the subject city is outside the U.S., lays on the border between two climate zones, has a different climate, or tree species composition because of differences in elevation, urban morphology, and environmental quality. A systematic process for selecting the best match is described and illustrated for Lisbon, Portugal. Selection criteria are tree species composition, heating and cooling degree days, and annual precipitation. Raw and difference values for each criterion are normalized to range from 0 to 10 using linear interpolation. The coefficient for each criterion is weighted to reflect its relative importance. The Root Mean Square Error (RMSE) is calculated and the reference city with the lowest value is the best match for the subject city. The state of California’s reference cities of Modesto (RMSE = 2.41) and Claremont (2.71) proved to be the best match for Lisbon when coefficients were unequally weighted.
- You may send email to firstname.lastname@example.org to request a hard copy of this publication.
- (Please specify exactly which publication you are requesting and your mailing address.)
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationMcPherson .E.G. 2010. Selecting reference cities for i-Tree Streets. Arboriculture and Urban Forestry 36(5): 230-240.
KeywordsBenefit-Cost Analysis, i-Tree Streets, Municipal Forests, Street Tree Inventory, Urban Forest Valuation
- A practical approach to assessing structure, function, and value of street tree populations in small communities
- Mapping aboveground carbon stocks using LiDAR data in Eucalyptus spp. plantations in the state of Sao Paulo, Brazil
- Modeling and mapping basal area of Pinus taeda L. plantation using airborne LiDAR data
XML: View XML