Systematically designating conservation areas for protecting habitat quality and multiple ecosystem services
Habitat quality and ecosystem supply are important factors when identifying conservation areas. Traditionally, conservation planning approaches focus solely on habitat. In this study we calculated habitat quality and five other ecosystem service values through the Integrated Valuation of Ecosystem S...
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Veröffentlicht in: | Environmental modelling & software : with environment data news 2017-04, Vol.90, p.126-146 |
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creator | Lin, Yu-Pin Lin, Wei-Chih Wang, Yung-Chieh Lien, Wan-Yu Huang, Tao Hsu, Chih-Chen Schmeller, Dirk S. Crossman, Neville D. |
description | Habitat quality and ecosystem supply are important factors when identifying conservation areas. Traditionally, conservation planning approaches focus solely on habitat. In this study we calculated habitat quality and five other ecosystem service values through the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) and also identified hotspots for each ecosystem service value through the Local Indicator of Spatial Association (LISA). Conservation areas that protect habitat quality and ecosystem services were simulated using the Zonation software with three scenarios of ecosystem service distribution. Four Boundary Length Penalties were also tested in terms of how well they produce suitable reserve sites. Finally, we developed the LISA-Zonation program which performs systematic conservation planning based on InVEST outputs. The ecosystem services hotspots represent spatial autocorrelations among neighboring cells and ecosystem service values, yielding conservation strategies which balance ecosystem service values with spatial connectivity. Our novel approach finds spatial autocorrelation of ecosystem services to identify conservation areas that provide potential benefits to people.
•We use the InVEST model to calculate habitat quality and five ecosystem services values.•We consider spatial autocorrelation and identify hotspots of ecosystem services.•We simulate reserve areas that protect ecosystem services by the Zonation software.•We developed the LISA-Zonation program for designating reserve areas. |
doi_str_mv | 10.1016/j.envsoft.2017.01.003 |
format | Article |
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•We use the InVEST model to calculate habitat quality and five ecosystem services values.•We consider spatial autocorrelation and identify hotspots of ecosystem services.•We simulate reserve areas that protect ecosystem services by the Zonation software.•We developed the LISA-Zonation program for designating reserve areas.</description><identifier>ISSN: 1364-8152</identifier><identifier>EISSN: 1873-6726</identifier><identifier>DOI: 10.1016/j.envsoft.2017.01.003</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Connectivity ; Conservation ; Conservation areas ; Data processing ; Ecosystem services ; Ecosystems ; Habitat quality ; Habitats ; InVEST ; Simulation ; Simulation model ; Spatial autocorrelation ; Spatial distribution ; Systematic conservation planning ; Zonation</subject><ispartof>Environmental modelling & software : with environment data news, 2017-04, Vol.90, p.126-146</ispartof><rights>2017 Elsevier Ltd</rights><rights>Copyright Elsevier Science Ltd. Apr 2017</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c403t-1efe9f52888835207a62b7bf41260a697c8d14cbdea782ff8d5e5732cd0d1ccb3</citedby><cites>FETCH-LOGICAL-c403t-1efe9f52888835207a62b7bf41260a697c8d14cbdea782ff8d5e5732cd0d1ccb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S136481521730021X$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Lin, Yu-Pin</creatorcontrib><creatorcontrib>Lin, Wei-Chih</creatorcontrib><creatorcontrib>Wang, Yung-Chieh</creatorcontrib><creatorcontrib>Lien, Wan-Yu</creatorcontrib><creatorcontrib>Huang, Tao</creatorcontrib><creatorcontrib>Hsu, Chih-Chen</creatorcontrib><creatorcontrib>Schmeller, Dirk S.</creatorcontrib><creatorcontrib>Crossman, Neville D.</creatorcontrib><title>Systematically designating conservation areas for protecting habitat quality and multiple ecosystem services</title><title>Environmental modelling & software : with environment data news</title><description>Habitat quality and ecosystem supply are important factors when identifying conservation areas. Traditionally, conservation planning approaches focus solely on habitat. In this study we calculated habitat quality and five other ecosystem service values through the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) and also identified hotspots for each ecosystem service value through the Local Indicator of Spatial Association (LISA). Conservation areas that protect habitat quality and ecosystem services were simulated using the Zonation software with three scenarios of ecosystem service distribution. Four Boundary Length Penalties were also tested in terms of how well they produce suitable reserve sites. Finally, we developed the LISA-Zonation program which performs systematic conservation planning based on InVEST outputs. The ecosystem services hotspots represent spatial autocorrelations among neighboring cells and ecosystem service values, yielding conservation strategies which balance ecosystem service values with spatial connectivity. Our novel approach finds spatial autocorrelation of ecosystem services to identify conservation areas that provide potential benefits to people.
•We use the InVEST model to calculate habitat quality and five ecosystem services values.•We consider spatial autocorrelation and identify hotspots of ecosystem services.•We simulate reserve areas that protect ecosystem services by the Zonation software.•We developed the LISA-Zonation program for designating reserve areas.</description><subject>Connectivity</subject><subject>Conservation</subject><subject>Conservation areas</subject><subject>Data processing</subject><subject>Ecosystem services</subject><subject>Ecosystems</subject><subject>Habitat quality</subject><subject>Habitats</subject><subject>InVEST</subject><subject>Simulation</subject><subject>Simulation model</subject><subject>Spatial autocorrelation</subject><subject>Spatial distribution</subject><subject>Systematic conservation planning</subject><subject>Zonation</subject><issn>1364-8152</issn><issn>1873-6726</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNqFkE1rwzAMhsPYYF23nzAw7JzMH4mTnsYo-4LCDtvOxrHlziGNW9sp5N_P_bhPF0nw6pX0ZNk9wQXBhD92BQz74EwsKCZ1gUmBMbvIZqSpWc5ryi9TzXiZN6Si19lNCB3GONXlLOu_phBhI6NVsu8npCHY9ZDaYY2UGwL4fWrcgKQHGZBxHm29i6COil_Z2igj2o2yt3FCctBoM_bRbntAoFw4mqODi1UQbrMrI_sAd-c8z35eX76X7_nq8-1j-bzKVYlZzAkYWJiKNilYRXEtOW3r1pSEciz5olaNJqVqNci6ocY0uoKqZlRprIlSLZtnDyffdOpuhBBF50Y_pJWC4pIxxjmjSVWdVMq7EDwYsfV2I_0kCBYHsKITZ7DiAFZgIhLYNPd0moP0wt6CF0FZGBRo6xMXoZ39x-EPwOyH3Q</recordid><startdate>20170401</startdate><enddate>20170401</enddate><creator>Lin, Yu-Pin</creator><creator>Lin, Wei-Chih</creator><creator>Wang, Yung-Chieh</creator><creator>Lien, Wan-Yu</creator><creator>Huang, Tao</creator><creator>Hsu, Chih-Chen</creator><creator>Schmeller, Dirk S.</creator><creator>Crossman, Neville D.</creator><general>Elsevier Ltd</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7SC</scope><scope>7ST</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>SOI</scope></search><sort><creationdate>20170401</creationdate><title>Systematically designating conservation areas for protecting habitat quality and multiple ecosystem services</title><author>Lin, Yu-Pin ; Lin, Wei-Chih ; Wang, Yung-Chieh ; Lien, Wan-Yu ; Huang, Tao ; Hsu, Chih-Chen ; Schmeller, Dirk S. ; Crossman, Neville D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c403t-1efe9f52888835207a62b7bf41260a697c8d14cbdea782ff8d5e5732cd0d1ccb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Connectivity</topic><topic>Conservation</topic><topic>Conservation areas</topic><topic>Data processing</topic><topic>Ecosystem services</topic><topic>Ecosystems</topic><topic>Habitat quality</topic><topic>Habitats</topic><topic>InVEST</topic><topic>Simulation</topic><topic>Simulation model</topic><topic>Spatial autocorrelation</topic><topic>Spatial distribution</topic><topic>Systematic conservation planning</topic><topic>Zonation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lin, Yu-Pin</creatorcontrib><creatorcontrib>Lin, Wei-Chih</creatorcontrib><creatorcontrib>Wang, Yung-Chieh</creatorcontrib><creatorcontrib>Lien, Wan-Yu</creatorcontrib><creatorcontrib>Huang, Tao</creatorcontrib><creatorcontrib>Hsu, Chih-Chen</creatorcontrib><creatorcontrib>Schmeller, Dirk S.</creatorcontrib><creatorcontrib>Crossman, Neville D.</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Computer and Information Systems Abstracts</collection><collection>Environment Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Environment Abstracts</collection><jtitle>Environmental modelling & software : with environment data news</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lin, Yu-Pin</au><au>Lin, Wei-Chih</au><au>Wang, Yung-Chieh</au><au>Lien, Wan-Yu</au><au>Huang, Tao</au><au>Hsu, Chih-Chen</au><au>Schmeller, Dirk S.</au><au>Crossman, Neville D.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Systematically designating conservation areas for protecting habitat quality and multiple ecosystem services</atitle><jtitle>Environmental modelling & software : with environment data news</jtitle><date>2017-04-01</date><risdate>2017</risdate><volume>90</volume><spage>126</spage><epage>146</epage><pages>126-146</pages><issn>1364-8152</issn><eissn>1873-6726</eissn><abstract>Habitat quality and ecosystem supply are important factors when identifying conservation areas. Traditionally, conservation planning approaches focus solely on habitat. In this study we calculated habitat quality and five other ecosystem service values through the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) and also identified hotspots for each ecosystem service value through the Local Indicator of Spatial Association (LISA). Conservation areas that protect habitat quality and ecosystem services were simulated using the Zonation software with three scenarios of ecosystem service distribution. Four Boundary Length Penalties were also tested in terms of how well they produce suitable reserve sites. Finally, we developed the LISA-Zonation program which performs systematic conservation planning based on InVEST outputs. The ecosystem services hotspots represent spatial autocorrelations among neighboring cells and ecosystem service values, yielding conservation strategies which balance ecosystem service values with spatial connectivity. Our novel approach finds spatial autocorrelation of ecosystem services to identify conservation areas that provide potential benefits to people.
•We use the InVEST model to calculate habitat quality and five ecosystem services values.•We consider spatial autocorrelation and identify hotspots of ecosystem services.•We simulate reserve areas that protect ecosystem services by the Zonation software.•We developed the LISA-Zonation program for designating reserve areas.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.envsoft.2017.01.003</doi><tpages>21</tpages></addata></record> |
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subjects | Connectivity Conservation Conservation areas Data processing Ecosystem services Ecosystems Habitat quality Habitats InVEST Simulation Simulation model Spatial autocorrelation Spatial distribution Systematic conservation planning Zonation |
title | Systematically designating conservation areas for protecting habitat quality and multiple ecosystem services |
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