Spatially explicit quantification of the interactions among ecosystem services
Context Human demands for ecosystem services (ES) have tremendously changed the landscape and led to degradation of ecosystems and associated services. The resolving of current eco-environmental problems calls for better understanding of the spatially explicit ES interactions to guide targeted land-...
Gespeichert in:
Veröffentlicht in: | Landscape ecology 2017-06, Vol.32 (6), p.1181-1199 |
---|---|
Hauptverfasser: | , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 1199 |
---|---|
container_issue | 6 |
container_start_page | 1181 |
container_title | Landscape ecology |
container_volume | 32 |
creator | Li, Yingjie Zhang, Liwei Qiu, Jiangxiao Yan, Junping Wan, Luwen Wang, Pengtao Hu, Ningke Cheng, Wei Fu, Bojie |
description | Context
Human demands for ecosystem services (ES) have tremendously changed the landscape and led to degradation of ecosystems and associated services. The resolving of current eco-environmental problems calls for better understanding of the spatially explicit ES interactions to guide targeted land-use policy-making.
Objectives
We propose a framework to map ES in continuous time-series, based on which we further quantify interactions among multiple ES.
Methods
The supply of three key ES—soil conservation (SC), net primary production (NPP) and water yield (WY)—were quantified and mapped at fine-resolution from 2000 to 2013 using easily-accessible spatial data. Pairwise ES interactions were quantified using a spatio-temporal statistical method.
Results
Spatio-temporal analyses of ES dynamics illustrated that the supply of the three ES increased over the past 14 years in northern Shaanxi, where land cover dramatically changed owing to the wide-range ecological restoration projects. Our results also revealed that ES interactions varied across locations due to landscape heterogeneity and climate difference. In the arid and semi-arid area, synergies among ES (e.g., SC vs. WY) tended to dominate in grassland, while in artificial lands ES were prone to show trade-offs. In the semi-humid area, pairwise ES (e.g., NPP vs. WY) in woodland tended to present synergies.
Conclusions
The spatio-temporal variation of ES and their interactions resulted from coupling effect of human-induced climate and land-use change. In the long-term, spatially explicit quantification of ES interactions can help identify spatial heterogeneity in ES trade-offs and synergies, and inform regional targeted land-use policy adjustment and sustainable ecosystem management. |
doi_str_mv | 10.1007/s10980-017-0527-6 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_1899817786</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1899817786</sourcerecordid><originalsourceid>FETCH-LOGICAL-c359t-de40a3e0d03cdf9b7cde2fa990dab85371cd3428f87cbe94a715ac86b9bed9653</originalsourceid><addsrcrecordid>eNp1kLFOwzAQhi0EEqXwAGyWmA3nuIntEVVAkSoYgNlynEtxlSap7SL69iQKAwvTSXff_5_0EXLN4ZYDyLvIQStgwCWDPJOsOCEznsuMaVnwUzIDnXGWaSnOyUWMWwAQAmBGXt56m7xtmiPF777xzie6P9g2-dq74dK1tKtp-kTq24TBunEVqd117Yai6-IxJtzRiOHLO4yX5Ky2TcSr3zknH48P78sVW78-PS_v18yJXCdW4QKsQKhAuKrWpXQVZrXVGipbqlxI7iqxyFStpCtRL6zkuXWqKHWJlS5yMSc3U28fuv0BYzLb7hDa4aXhSmvFpVTFQPGJcqGLMWBt-uB3NhwNBzNqM5M2M2gzozYzZrIpEwe23WD40_xv6AcPoXIM</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1899817786</pqid></control><display><type>article</type><title>Spatially explicit quantification of the interactions among ecosystem services</title><source>SpringerNature Journals</source><creator>Li, Yingjie ; Zhang, Liwei ; Qiu, Jiangxiao ; Yan, Junping ; Wan, Luwen ; Wang, Pengtao ; Hu, Ningke ; Cheng, Wei ; Fu, Bojie</creator><creatorcontrib>Li, Yingjie ; Zhang, Liwei ; Qiu, Jiangxiao ; Yan, Junping ; Wan, Luwen ; Wang, Pengtao ; Hu, Ningke ; Cheng, Wei ; Fu, Bojie</creatorcontrib><description>Context
Human demands for ecosystem services (ES) have tremendously changed the landscape and led to degradation of ecosystems and associated services. The resolving of current eco-environmental problems calls for better understanding of the spatially explicit ES interactions to guide targeted land-use policy-making.
Objectives
We propose a framework to map ES in continuous time-series, based on which we further quantify interactions among multiple ES.
Methods
The supply of three key ES—soil conservation (SC), net primary production (NPP) and water yield (WY)—were quantified and mapped at fine-resolution from 2000 to 2013 using easily-accessible spatial data. Pairwise ES interactions were quantified using a spatio-temporal statistical method.
Results
Spatio-temporal analyses of ES dynamics illustrated that the supply of the three ES increased over the past 14 years in northern Shaanxi, where land cover dramatically changed owing to the wide-range ecological restoration projects. Our results also revealed that ES interactions varied across locations due to landscape heterogeneity and climate difference. In the arid and semi-arid area, synergies among ES (e.g., SC vs. WY) tended to dominate in grassland, while in artificial lands ES were prone to show trade-offs. In the semi-humid area, pairwise ES (e.g., NPP vs. WY) in woodland tended to present synergies.
Conclusions
The spatio-temporal variation of ES and their interactions resulted from coupling effect of human-induced climate and land-use change. In the long-term, spatially explicit quantification of ES interactions can help identify spatial heterogeneity in ES trade-offs and synergies, and inform regional targeted land-use policy adjustment and sustainable ecosystem management.</description><identifier>ISSN: 0921-2973</identifier><identifier>EISSN: 1572-9761</identifier><identifier>DOI: 10.1007/s10980-017-0527-6</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Arid regions ; Biomedical and Life Sciences ; Climate ; Climate effects ; Ecological effects ; Ecology ; Ecosystem degradation ; Ecosystem management ; Ecosystem services ; Ecosystems ; Environmental Management ; Environmental restoration ; Grasslands ; Heterogeneity ; Human influences ; Humid areas ; Land cover ; Land use ; Land use management ; Landscape ; Landscape Ecology ; Landscape/Regional and Urban Planning ; Life Sciences ; Nature Conservation ; Primary production ; Research Article ; Restoration ; Soil conservation ; Spatial heterogeneity ; Statistical methods ; Sustainable Development ; Sustainable ecosystems ; Tradeoffs ; Water yield ; Woodlands</subject><ispartof>Landscape ecology, 2017-06, Vol.32 (6), p.1181-1199</ispartof><rights>Springer Science+Business Media Dordrecht 2017</rights><rights>Landscape Ecology is a copyright of Springer, 2017.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c359t-de40a3e0d03cdf9b7cde2fa990dab85371cd3428f87cbe94a715ac86b9bed9653</citedby><cites>FETCH-LOGICAL-c359t-de40a3e0d03cdf9b7cde2fa990dab85371cd3428f87cbe94a715ac86b9bed9653</cites><orcidid>0000-0002-8401-0649</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10980-017-0527-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10980-017-0527-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>315,782,786,27931,27932,41495,42564,51326</link.rule.ids></links><search><creatorcontrib>Li, Yingjie</creatorcontrib><creatorcontrib>Zhang, Liwei</creatorcontrib><creatorcontrib>Qiu, Jiangxiao</creatorcontrib><creatorcontrib>Yan, Junping</creatorcontrib><creatorcontrib>Wan, Luwen</creatorcontrib><creatorcontrib>Wang, Pengtao</creatorcontrib><creatorcontrib>Hu, Ningke</creatorcontrib><creatorcontrib>Cheng, Wei</creatorcontrib><creatorcontrib>Fu, Bojie</creatorcontrib><title>Spatially explicit quantification of the interactions among ecosystem services</title><title>Landscape ecology</title><addtitle>Landscape Ecol</addtitle><description>Context
Human demands for ecosystem services (ES) have tremendously changed the landscape and led to degradation of ecosystems and associated services. The resolving of current eco-environmental problems calls for better understanding of the spatially explicit ES interactions to guide targeted land-use policy-making.
Objectives
We propose a framework to map ES in continuous time-series, based on which we further quantify interactions among multiple ES.
Methods
The supply of three key ES—soil conservation (SC), net primary production (NPP) and water yield (WY)—were quantified and mapped at fine-resolution from 2000 to 2013 using easily-accessible spatial data. Pairwise ES interactions were quantified using a spatio-temporal statistical method.
Results
Spatio-temporal analyses of ES dynamics illustrated that the supply of the three ES increased over the past 14 years in northern Shaanxi, where land cover dramatically changed owing to the wide-range ecological restoration projects. Our results also revealed that ES interactions varied across locations due to landscape heterogeneity and climate difference. In the arid and semi-arid area, synergies among ES (e.g., SC vs. WY) tended to dominate in grassland, while in artificial lands ES were prone to show trade-offs. In the semi-humid area, pairwise ES (e.g., NPP vs. WY) in woodland tended to present synergies.
Conclusions
The spatio-temporal variation of ES and their interactions resulted from coupling effect of human-induced climate and land-use change. In the long-term, spatially explicit quantification of ES interactions can help identify spatial heterogeneity in ES trade-offs and synergies, and inform regional targeted land-use policy adjustment and sustainable ecosystem management.</description><subject>Arid regions</subject><subject>Biomedical and Life Sciences</subject><subject>Climate</subject><subject>Climate effects</subject><subject>Ecological effects</subject><subject>Ecology</subject><subject>Ecosystem degradation</subject><subject>Ecosystem management</subject><subject>Ecosystem services</subject><subject>Ecosystems</subject><subject>Environmental Management</subject><subject>Environmental restoration</subject><subject>Grasslands</subject><subject>Heterogeneity</subject><subject>Human influences</subject><subject>Humid areas</subject><subject>Land cover</subject><subject>Land use</subject><subject>Land use management</subject><subject>Landscape</subject><subject>Landscape Ecology</subject><subject>Landscape/Regional and Urban Planning</subject><subject>Life Sciences</subject><subject>Nature Conservation</subject><subject>Primary production</subject><subject>Research Article</subject><subject>Restoration</subject><subject>Soil conservation</subject><subject>Spatial heterogeneity</subject><subject>Statistical methods</subject><subject>Sustainable Development</subject><subject>Sustainable ecosystems</subject><subject>Tradeoffs</subject><subject>Water yield</subject><subject>Woodlands</subject><issn>0921-2973</issn><issn>1572-9761</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kLFOwzAQhi0EEqXwAGyWmA3nuIntEVVAkSoYgNlynEtxlSap7SL69iQKAwvTSXff_5_0EXLN4ZYDyLvIQStgwCWDPJOsOCEznsuMaVnwUzIDnXGWaSnOyUWMWwAQAmBGXt56m7xtmiPF777xzie6P9g2-dq74dK1tKtp-kTq24TBunEVqd117Yai6-IxJtzRiOHLO4yX5Ky2TcSr3zknH48P78sVW78-PS_v18yJXCdW4QKsQKhAuKrWpXQVZrXVGipbqlxI7iqxyFStpCtRL6zkuXWqKHWJlS5yMSc3U28fuv0BYzLb7hDa4aXhSmvFpVTFQPGJcqGLMWBt-uB3NhwNBzNqM5M2M2gzozYzZrIpEwe23WD40_xv6AcPoXIM</recordid><startdate>20170601</startdate><enddate>20170601</enddate><creator>Li, Yingjie</creator><creator>Zhang, Liwei</creator><creator>Qiu, Jiangxiao</creator><creator>Yan, Junping</creator><creator>Wan, Luwen</creator><creator>Wang, Pengtao</creator><creator>Hu, Ningke</creator><creator>Cheng, Wei</creator><creator>Fu, Bojie</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SN</scope><scope>7ST</scope><scope>7XB</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M2P</scope><scope>M7P</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0002-8401-0649</orcidid></search><sort><creationdate>20170601</creationdate><title>Spatially explicit quantification of the interactions among ecosystem services</title><author>Li, Yingjie ; Zhang, Liwei ; Qiu, Jiangxiao ; Yan, Junping ; Wan, Luwen ; Wang, Pengtao ; Hu, Ningke ; Cheng, Wei ; Fu, Bojie</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c359t-de40a3e0d03cdf9b7cde2fa990dab85371cd3428f87cbe94a715ac86b9bed9653</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Arid regions</topic><topic>Biomedical and Life Sciences</topic><topic>Climate</topic><topic>Climate effects</topic><topic>Ecological effects</topic><topic>Ecology</topic><topic>Ecosystem degradation</topic><topic>Ecosystem management</topic><topic>Ecosystem services</topic><topic>Ecosystems</topic><topic>Environmental Management</topic><topic>Environmental restoration</topic><topic>Grasslands</topic><topic>Heterogeneity</topic><topic>Human influences</topic><topic>Humid areas</topic><topic>Land cover</topic><topic>Land use</topic><topic>Land use management</topic><topic>Landscape</topic><topic>Landscape Ecology</topic><topic>Landscape/Regional and Urban Planning</topic><topic>Life Sciences</topic><topic>Nature Conservation</topic><topic>Primary production</topic><topic>Research Article</topic><topic>Restoration</topic><topic>Soil conservation</topic><topic>Spatial heterogeneity</topic><topic>Statistical methods</topic><topic>Sustainable Development</topic><topic>Sustainable ecosystems</topic><topic>Tradeoffs</topic><topic>Water yield</topic><topic>Woodlands</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Yingjie</creatorcontrib><creatorcontrib>Zhang, Liwei</creatorcontrib><creatorcontrib>Qiu, Jiangxiao</creatorcontrib><creatorcontrib>Yan, Junping</creatorcontrib><creatorcontrib>Wan, Luwen</creatorcontrib><creatorcontrib>Wang, Pengtao</creatorcontrib><creatorcontrib>Hu, Ningke</creatorcontrib><creatorcontrib>Cheng, Wei</creatorcontrib><creatorcontrib>Fu, Bojie</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><jtitle>Landscape ecology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Yingjie</au><au>Zhang, Liwei</au><au>Qiu, Jiangxiao</au><au>Yan, Junping</au><au>Wan, Luwen</au><au>Wang, Pengtao</au><au>Hu, Ningke</au><au>Cheng, Wei</au><au>Fu, Bojie</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatially explicit quantification of the interactions among ecosystem services</atitle><jtitle>Landscape ecology</jtitle><stitle>Landscape Ecol</stitle><date>2017-06-01</date><risdate>2017</risdate><volume>32</volume><issue>6</issue><spage>1181</spage><epage>1199</epage><pages>1181-1199</pages><issn>0921-2973</issn><eissn>1572-9761</eissn><abstract>Context
Human demands for ecosystem services (ES) have tremendously changed the landscape and led to degradation of ecosystems and associated services. The resolving of current eco-environmental problems calls for better understanding of the spatially explicit ES interactions to guide targeted land-use policy-making.
Objectives
We propose a framework to map ES in continuous time-series, based on which we further quantify interactions among multiple ES.
Methods
The supply of three key ES—soil conservation (SC), net primary production (NPP) and water yield (WY)—were quantified and mapped at fine-resolution from 2000 to 2013 using easily-accessible spatial data. Pairwise ES interactions were quantified using a spatio-temporal statistical method.
Results
Spatio-temporal analyses of ES dynamics illustrated that the supply of the three ES increased over the past 14 years in northern Shaanxi, where land cover dramatically changed owing to the wide-range ecological restoration projects. Our results also revealed that ES interactions varied across locations due to landscape heterogeneity and climate difference. In the arid and semi-arid area, synergies among ES (e.g., SC vs. WY) tended to dominate in grassland, while in artificial lands ES were prone to show trade-offs. In the semi-humid area, pairwise ES (e.g., NPP vs. WY) in woodland tended to present synergies.
Conclusions
The spatio-temporal variation of ES and their interactions resulted from coupling effect of human-induced climate and land-use change. In the long-term, spatially explicit quantification of ES interactions can help identify spatial heterogeneity in ES trade-offs and synergies, and inform regional targeted land-use policy adjustment and sustainable ecosystem management.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s10980-017-0527-6</doi><tpages>19</tpages><orcidid>https://orcid.org/0000-0002-8401-0649</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0921-2973 |
ispartof | Landscape ecology, 2017-06, Vol.32 (6), p.1181-1199 |
issn | 0921-2973 1572-9761 |
language | eng |
recordid | cdi_proquest_journals_1899817786 |
source | SpringerNature Journals |
subjects | Arid regions Biomedical and Life Sciences Climate Climate effects Ecological effects Ecology Ecosystem degradation Ecosystem management Ecosystem services Ecosystems Environmental Management Environmental restoration Grasslands Heterogeneity Human influences Humid areas Land cover Land use Land use management Landscape Landscape Ecology Landscape/Regional and Urban Planning Life Sciences Nature Conservation Primary production Research Article Restoration Soil conservation Spatial heterogeneity Statistical methods Sustainable Development Sustainable ecosystems Tradeoffs Water yield Woodlands |
title | Spatially explicit quantification of the interactions among ecosystem services |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-07T01%3A53%3A31IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Spatially%20explicit%20quantification%20of%20the%20interactions%20among%20ecosystem%20services&rft.jtitle=Landscape%20ecology&rft.au=Li,%20Yingjie&rft.date=2017-06-01&rft.volume=32&rft.issue=6&rft.spage=1181&rft.epage=1199&rft.pages=1181-1199&rft.issn=0921-2973&rft.eissn=1572-9761&rft_id=info:doi/10.1007/s10980-017-0527-6&rft_dat=%3Cproquest_cross%3E1899817786%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1899817786&rft_id=info:pmid/&rfr_iscdi=true |