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Neighbourhood-scale urban forest ecosystem classification
Urban forests are now recognized as essential components of sustainable cities, but there remains uncertainty concerning how to stratify and classify urban landscapes into units of ecological significance at spatial scales appropriate for management. Ecosystem classification is an approach that enta...
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Published in: | Journal of environmental management 2015-11, Vol.163, p.134-145 |
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description | Urban forests are now recognized as essential components of sustainable cities, but there remains uncertainty concerning how to stratify and classify urban landscapes into units of ecological significance at spatial scales appropriate for management. Ecosystem classification is an approach that entails quantifying the social and ecological processes that shape ecosystem conditions into logical and relatively homogeneous management units, making the potential for ecosystem-based decision support available to urban planners. The purpose of this study is to develop and propose a framework for urban forest ecosystem classification (UFEC). The multifactor framework integrates 12 ecosystem components that characterize the biophysical landscape, built environment, and human population. This framework is then applied at the neighbourhood scale in Toronto, Canada, using hierarchical cluster analysis. The analysis used 27 spatially-explicit variables to quantify the ecosystem components in Toronto. Twelve ecosystem classes were identified in this UFEC application. Across the ecosystem classes, tree canopy cover was positively related to economic wealth, especially income. However, education levels and homeownership were occasionally inconsistent with the expected positive relationship with canopy cover. Open green space and stocking had variable relationships with economic wealth and were more closely related to population density, building intensity, and land use. The UFEC can provide ecosystem-based information for greening initiatives, tree planting, and the maintenance of the existing canopy. Moreover, its use has the potential to inform the prioritization of limited municipal resources according to ecological conditions and to concerns of social equity in the access to nature and distribution of ecosystem service supply.
•A neighbourhood-scale urban forest ecosystem classification (UFEC) was developed.•Tree canopy cover was closely related to economic wealth, especially income.•Urban density and land use were also influential on ecosystem structure.•There are likely scale dependencies of some established social-ecological processes.•UFEC provided relevant information for strategic urban forest planning initiatives. |
doi_str_mv | 10.1016/j.jenvman.2015.08.008 |
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•A neighbourhood-scale urban forest ecosystem classification (UFEC) was developed.•Tree canopy cover was closely related to economic wealth, especially income.•Urban density and land use were also influential on ecosystem structure.•There are likely scale dependencies of some established social-ecological processes.•UFEC provided relevant information for strategic urban forest planning initiatives.</description><identifier>ISSN: 0301-4797</identifier><identifier>EISSN: 1095-8630</identifier><identifier>DOI: 10.1016/j.jenvman.2015.08.008</identifier><identifier>PMID: 26311086</identifier><identifier>CODEN: JEVMAW</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Canada ; Cities ; Cluster Analysis ; Decision Support Techniques ; Ecology - classification ; Ecology - methods ; Ecosystem ; Ecosystem classification ; Ecosystems ; Forests ; Humans ; Land use ; Management ; Neighborhoods ; Neighbourhood ; Neighbourhoods ; Population Density ; Residence Characteristics ; Trees ; Urban forest ; Urban forestry ; Wealth</subject><ispartof>Journal of environmental management, 2015-11, Vol.163, p.134-145</ispartof><rights>2015 Elsevier Ltd</rights><rights>Copyright © 2015 Elsevier Ltd. All rights reserved.</rights><rights>Copyright Academic Press Ltd. Nov 1, 2015</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c459t-38b2392774e96a08a250d7ff27f32cc9bbb83d4e9fc0165088375a2557f61cd33</citedby><cites>FETCH-LOGICAL-c459t-38b2392774e96a08a250d7ff27f32cc9bbb83d4e9fc0165088375a2557f61cd33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27922,27923,33221,33222</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26311086$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Steenberg, James W.N.</creatorcontrib><creatorcontrib>Millward, Andrew A.</creatorcontrib><creatorcontrib>Duinker, Peter N.</creatorcontrib><creatorcontrib>Nowak, David J.</creatorcontrib><creatorcontrib>Robinson, Pamela J.</creatorcontrib><title>Neighbourhood-scale urban forest ecosystem classification</title><title>Journal of environmental management</title><addtitle>J Environ Manage</addtitle><description>Urban forests are now recognized as essential components of sustainable cities, but there remains uncertainty concerning how to stratify and classify urban landscapes into units of ecological significance at spatial scales appropriate for management. Ecosystem classification is an approach that entails quantifying the social and ecological processes that shape ecosystem conditions into logical and relatively homogeneous management units, making the potential for ecosystem-based decision support available to urban planners. The purpose of this study is to develop and propose a framework for urban forest ecosystem classification (UFEC). The multifactor framework integrates 12 ecosystem components that characterize the biophysical landscape, built environment, and human population. This framework is then applied at the neighbourhood scale in Toronto, Canada, using hierarchical cluster analysis. The analysis used 27 spatially-explicit variables to quantify the ecosystem components in Toronto. Twelve ecosystem classes were identified in this UFEC application. Across the ecosystem classes, tree canopy cover was positively related to economic wealth, especially income. However, education levels and homeownership were occasionally inconsistent with the expected positive relationship with canopy cover. Open green space and stocking had variable relationships with economic wealth and were more closely related to population density, building intensity, and land use. The UFEC can provide ecosystem-based information for greening initiatives, tree planting, and the maintenance of the existing canopy. Moreover, its use has the potential to inform the prioritization of limited municipal resources according to ecological conditions and to concerns of social equity in the access to nature and distribution of ecosystem service supply.
•A neighbourhood-scale urban forest ecosystem classification (UFEC) was developed.•Tree canopy cover was closely related to economic wealth, especially income.•Urban density and land use were also influential on ecosystem structure.•There are likely scale dependencies of some established social-ecological processes.•UFEC provided relevant information for strategic urban forest planning initiatives.</description><subject>Canada</subject><subject>Cities</subject><subject>Cluster Analysis</subject><subject>Decision Support Techniques</subject><subject>Ecology - classification</subject><subject>Ecology - methods</subject><subject>Ecosystem</subject><subject>Ecosystem classification</subject><subject>Ecosystems</subject><subject>Forests</subject><subject>Humans</subject><subject>Land use</subject><subject>Management</subject><subject>Neighborhoods</subject><subject>Neighbourhood</subject><subject>Neighbourhoods</subject><subject>Population Density</subject><subject>Residence Characteristics</subject><subject>Trees</subject><subject>Urban forest</subject><subject>Urban forestry</subject><subject>Wealth</subject><issn>0301-4797</issn><issn>1095-8630</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>8BJ</sourceid><recordid>eNqNkU1v1DAQhi0EotuFnwBaiQuXhLEdf50QqqAgVXCBs-U4Y-ooiYudVOq_x6tdOHApJx_mmRnP-xDyikJLgcp3Yzvicj-7pWVARQu6BdBPyI6CEY2WHJ6SHXCgTaeMuiCXpYwAwBlVz8kFk5xS0HJHzFeMP2_7tOXblIameDfhYcu9Ww4hZSzrAX0qD2XF-eAnV0oM0bs1puUFeRbcVPDl-d2TH58-fr_63Nx8u_5y9eGm8Z0wa8N1z7hhSnVopAPtmIBBhcBU4Mx70_e95kMtBl_PEqA1V6JCQgVJ_cD5nrw9zb3L6ddWf2TnWDxOk1swbcVSJbTpQEr6PyhlIEzd8ThKpekYq0nuyZt_0LHGtdSbj5QB2gmlKiVOlM-plIzB3uU4u_xgKdijMTvaszF7NGZB22qs9r0-T9_6GYe_XX8UVeD9CcAa8n3EbIuPuHgcYka_2iHFR1b8Bpyxp34</recordid><startdate>20151101</startdate><enddate>20151101</enddate><creator>Steenberg, James W.N.</creator><creator>Millward, Andrew A.</creator><creator>Duinker, Peter N.</creator><creator>Nowak, David J.</creator><creator>Robinson, Pamela J.</creator><general>Elsevier Ltd</general><general>Academic Press Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7SN</scope><scope>7ST</scope><scope>7UA</scope><scope>8BJ</scope><scope>C1K</scope><scope>F1W</scope><scope>FQK</scope><scope>H97</scope><scope>JBE</scope><scope>L.G</scope><scope>SOI</scope><scope>7X8</scope><scope>7U6</scope></search><sort><creationdate>20151101</creationdate><title>Neighbourhood-scale urban forest ecosystem classification</title><author>Steenberg, James W.N. ; Millward, Andrew A. ; Duinker, Peter N. ; Nowak, David J. ; Robinson, Pamela J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c459t-38b2392774e96a08a250d7ff27f32cc9bbb83d4e9fc0165088375a2557f61cd33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Canada</topic><topic>Cities</topic><topic>Cluster Analysis</topic><topic>Decision Support Techniques</topic><topic>Ecology - classification</topic><topic>Ecology - methods</topic><topic>Ecosystem</topic><topic>Ecosystem classification</topic><topic>Ecosystems</topic><topic>Forests</topic><topic>Humans</topic><topic>Land use</topic><topic>Management</topic><topic>Neighborhoods</topic><topic>Neighbourhood</topic><topic>Neighbourhoods</topic><topic>Population Density</topic><topic>Residence Characteristics</topic><topic>Trees</topic><topic>Urban forest</topic><topic>Urban forestry</topic><topic>Wealth</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Steenberg, James W.N.</creatorcontrib><creatorcontrib>Millward, Andrew A.</creatorcontrib><creatorcontrib>Duinker, Peter N.</creatorcontrib><creatorcontrib>Nowak, David J.</creatorcontrib><creatorcontrib>Robinson, Pamela J.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aqualine</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Water Resources Abstracts</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>International Bibliography of the Social Sciences</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>International Bibliography of the Social Sciences</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Sustainability Science Abstracts</collection><jtitle>Journal of environmental management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Steenberg, James W.N.</au><au>Millward, Andrew A.</au><au>Duinker, Peter N.</au><au>Nowak, David J.</au><au>Robinson, Pamela J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Neighbourhood-scale urban forest ecosystem classification</atitle><jtitle>Journal of environmental management</jtitle><addtitle>J Environ Manage</addtitle><date>2015-11-01</date><risdate>2015</risdate><volume>163</volume><spage>134</spage><epage>145</epage><pages>134-145</pages><issn>0301-4797</issn><eissn>1095-8630</eissn><coden>JEVMAW</coden><abstract>Urban forests are now recognized as essential components of sustainable cities, but there remains uncertainty concerning how to stratify and classify urban landscapes into units of ecological significance at spatial scales appropriate for management. Ecosystem classification is an approach that entails quantifying the social and ecological processes that shape ecosystem conditions into logical and relatively homogeneous management units, making the potential for ecosystem-based decision support available to urban planners. The purpose of this study is to develop and propose a framework for urban forest ecosystem classification (UFEC). The multifactor framework integrates 12 ecosystem components that characterize the biophysical landscape, built environment, and human population. This framework is then applied at the neighbourhood scale in Toronto, Canada, using hierarchical cluster analysis. The analysis used 27 spatially-explicit variables to quantify the ecosystem components in Toronto. Twelve ecosystem classes were identified in this UFEC application. Across the ecosystem classes, tree canopy cover was positively related to economic wealth, especially income. However, education levels and homeownership were occasionally inconsistent with the expected positive relationship with canopy cover. Open green space and stocking had variable relationships with economic wealth and were more closely related to population density, building intensity, and land use. The UFEC can provide ecosystem-based information for greening initiatives, tree planting, and the maintenance of the existing canopy. Moreover, its use has the potential to inform the prioritization of limited municipal resources according to ecological conditions and to concerns of social equity in the access to nature and distribution of ecosystem service supply.
•A neighbourhood-scale urban forest ecosystem classification (UFEC) was developed.•Tree canopy cover was closely related to economic wealth, especially income.•Urban density and land use were also influential on ecosystem structure.•There are likely scale dependencies of some established social-ecological processes.•UFEC provided relevant information for strategic urban forest planning initiatives.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>26311086</pmid><doi>10.1016/j.jenvman.2015.08.008</doi><tpages>12</tpages></addata></record> |
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subjects | Canada Cities Cluster Analysis Decision Support Techniques Ecology - classification Ecology - methods Ecosystem Ecosystem classification Ecosystems Forests Humans Land use Management Neighborhoods Neighbourhood Neighbourhoods Population Density Residence Characteristics Trees Urban forest Urban forestry Wealth |
title | Neighbourhood-scale urban forest ecosystem classification |
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