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-...

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Veröffentlicht in:Landscape ecology 2017-06, Vol.32 (6), p.1181-1199
Hauptverfasser: Li, Yingjie, Zhang, Liwei, Qiu, Jiangxiao, Yan, Junping, Wan, Luwen, Wang, Pengtao, Hu, Ningke, Cheng, Wei, Fu, Bojie
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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
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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. 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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>
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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
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