The promotion of sustainable land use planning for the enhancement of ecosystem service capacity: Based on the FLUS-INVEST-RUSLE-CASA model
Land Use/Land Cover (LULC) is one of the most significant human variables influencing the efficiency of Ecosystem Services (ESs) in terrestrial ecosystems. Theoretical and technical assistance for regional sustainable land use planning and management, as well as ecosystem conservation and restoratio...
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| description | Land Use/Land Cover (LULC) is one of the most significant human variables influencing the efficiency of Ecosystem Services (ESs) in terrestrial ecosystems. Theoretical and technical assistance for regional sustainable land use planning and management, as well as ecosystem conservation and restoration, is provided by investigating the influence of changes in the LULC pattern on the efficiency of ESs. This research focuses on the interactions between socioeconomic activities and natural ecological processes in the Three Gorges Reservoir Area (TGRA). We use LULC data from the TGRA for the years 1990, 2000, 2010, and 2020. The study includes the analysis and calculation of the spatiotemporal evolution features of the current LULC pattern and the efficiency of ESs, including their spatiotemporal distribution. Considering the TGRA's national development orientation and guidance, three potential LULC patterns are constructed under various develop-ment scenarios. To calculate the efficiency of ESs, the GeoSOS-FLUS future LULC simulation model is linked, and several methodologies such as INVEST, RUSLE, and CASA are used. The goal is to investigate the influence of future changes in LULC patterns on ESs efficiency. The findings show the following: (1) From 1990 to 2020, the values of water conservation services in the TGRA decreased and subsequently increased. High-value areas are primarily located in the reservoir's centre and eastern sections, whereas low-value areas are mostly found in the western section. Soil conservation service values initially declined and later climbed. The TGRA's carbon storage services have in-creased yearly, from 552.64 g/m2 in 2000 to 615.92 g/m2 in 2020. (2) In the ecological protection scenario, carbon storage and soil erosion increased compared to the ecosystem services in 2020. The ecological system service benefits are greater when compared to the natural development scenario. (3) The four ESs show positive spatial correlations across all three scenarios, and local spatial au-tocorrelation analysis findings demonstrate that carbon storage, water yield, and habitat quality have comparable spatial distributions across all three scenarios. To some extent, high-value areas for water conservation, soil retention, carbon storage, and habitat quality overlap. |
| doi_str_mv | 10.1371/journal.pone.0305400 |
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Theoretical and technical assistance for regional sustainable land use planning and management, as well as ecosystem conservation and restoration, is provided by investigating the influence of changes in the LULC pattern on the efficiency of ESs. This research focuses on the interactions between socioeconomic activities and natural ecological processes in the Three Gorges Reservoir Area (TGRA). We use LULC data from the TGRA for the years 1990, 2000, 2010, and 2020. The study includes the analysis and calculation of the spatiotemporal evolution features of the current LULC pattern and the efficiency of ESs, including their spatiotemporal distribution. Considering the TGRA's national development orientation and guidance, three potential LULC patterns are constructed under various develop-ment scenarios. To calculate the efficiency of ESs, the GeoSOS-FLUS future LULC simulation model is linked, and several methodologies such as INVEST, RUSLE, and CASA are used. The goal is to investigate the influence of future changes in LULC patterns on ESs efficiency. The findings show the following: (1) From 1990 to 2020, the values of water conservation services in the TGRA decreased and subsequently increased. High-value areas are primarily located in the reservoir's centre and eastern sections, whereas low-value areas are mostly found in the western section. Soil conservation service values initially declined and later climbed. The TGRA's carbon storage services have in-creased yearly, from 552.64 g/m2 in 2000 to 615.92 g/m2 in 2020. (2) In the ecological protection scenario, carbon storage and soil erosion increased compared to the ecosystem services in 2020. The ecological system service benefits are greater when compared to the natural development scenario. (3) The four ESs show positive spatial correlations across all three scenarios, and local spatial au-tocorrelation analysis findings demonstrate that carbon storage, water yield, and habitat quality have comparable spatial distributions across all three scenarios. To some extent, high-value areas for water conservation, soil retention, carbon storage, and habitat quality overlap.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0305400</identifier><identifier>PMID: 38980857</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Agglomeration ; Analysis ; Biology and Life Sciences ; Canyons ; Carbon ; Carbon content ; Carbon sequestration ; China ; Climate change ; Computer and Information Sciences ; Conservation of Natural Resources - methods ; Earth ; Earth Sciences ; Ecology and Environmental Sciences ; Ecosystem ; Ecosystem conservation ; Ecosystem management ; Ecosystem services ; Efficiency ; Engineering and Technology ; Environmental economics ; Environmental protection ; Environmental quality ; Environmental science ; Food security ; Geospatial data ; Growth models ; Humans ; Influenza ; Investigations ; Land conservation ; Land cover ; Land use ; Land use management ; Land use planning ; Models, Theoretical ; Pattern analysis ; Planning ; Protection and preservation ; Qualitative research ; Regional planning ; Remote sensing ; Reservoirs ; River ecology ; Simulation models ; Social Sciences ; Soil conservation ; Soil erosion ; Soil water storage ; Soils ; Spatial analysis ; Spatial distribution ; Spatiotemporal data ; Sustainable Development ; Sustainable use ; Temporal distribution ; Terrestrial ecosystems ; Trends ; Water conservation ; Water yield</subject><ispartof>PloS one, 2024-07, Vol.19 (7), p.e0305400</ispartof><rights>Copyright: © 2024 Li et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2024 Public Library of Science</rights><rights>2024 Li et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2024 Li et al 2024 Li et al</rights><rights>2024 Li et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c572t-b59f3e3c2cd97011ead9b5b3eb3355ad1674dd83bd799fdff5cad5b4f583a1c53</cites><orcidid>0000-0002-4386-3573</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11232994/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11232994/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2101,2927,23865,27923,27924,53790,53792,79471,79472</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38980857$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Liu, Chun</contributor><creatorcontrib>Li, Guiyuan</creatorcontrib><creatorcontrib>Wu, Zhanneng</creatorcontrib><creatorcontrib>He, Yu</creatorcontrib><creatorcontrib>Chen, Chi</creatorcontrib><creatorcontrib>Long, Yan</creatorcontrib><title>The promotion of sustainable land use planning for the enhancement of ecosystem service capacity: Based on the FLUS-INVEST-RUSLE-CASA model</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Land Use/Land Cover (LULC) is one of the most significant human variables influencing the efficiency of Ecosystem Services (ESs) in terrestrial ecosystems. Theoretical and technical assistance for regional sustainable land use planning and management, as well as ecosystem conservation and restoration, is provided by investigating the influence of changes in the LULC pattern on the efficiency of ESs. This research focuses on the interactions between socioeconomic activities and natural ecological processes in the Three Gorges Reservoir Area (TGRA). We use LULC data from the TGRA for the years 1990, 2000, 2010, and 2020. The study includes the analysis and calculation of the spatiotemporal evolution features of the current LULC pattern and the efficiency of ESs, including their spatiotemporal distribution. Considering the TGRA's national development orientation and guidance, three potential LULC patterns are constructed under various develop-ment scenarios. To calculate the efficiency of ESs, the GeoSOS-FLUS future LULC simulation model is linked, and several methodologies such as INVEST, RUSLE, and CASA are used. The goal is to investigate the influence of future changes in LULC patterns on ESs efficiency. The findings show the following: (1) From 1990 to 2020, the values of water conservation services in the TGRA decreased and subsequently increased. High-value areas are primarily located in the reservoir's centre and eastern sections, whereas low-value areas are mostly found in the western section. Soil conservation service values initially declined and later climbed. The TGRA's carbon storage services have in-creased yearly, from 552.64 g/m2 in 2000 to 615.92 g/m2 in 2020. (2) In the ecological protection scenario, carbon storage and soil erosion increased compared to the ecosystem services in 2020. The ecological system service benefits are greater when compared to the natural development scenario. (3) The four ESs show positive spatial correlations across all three scenarios, and local spatial au-tocorrelation analysis findings demonstrate that carbon storage, water yield, and habitat quality have comparable spatial distributions across all three scenarios. To some extent, high-value areas for water conservation, soil retention, carbon storage, and habitat quality overlap.</description><subject>Agglomeration</subject><subject>Analysis</subject><subject>Biology and Life Sciences</subject><subject>Canyons</subject><subject>Carbon</subject><subject>Carbon content</subject><subject>Carbon sequestration</subject><subject>China</subject><subject>Climate change</subject><subject>Computer and Information Sciences</subject><subject>Conservation of Natural Resources - methods</subject><subject>Earth</subject><subject>Earth Sciences</subject><subject>Ecology and Environmental Sciences</subject><subject>Ecosystem</subject><subject>Ecosystem conservation</subject><subject>Ecosystem management</subject><subject>Ecosystem services</subject><subject>Efficiency</subject><subject>Engineering and Technology</subject><subject>Environmental economics</subject><subject>Environmental protection</subject><subject>Environmental quality</subject><subject>Environmental science</subject><subject>Food security</subject><subject>Geospatial data</subject><subject>Growth models</subject><subject>Humans</subject><subject>Influenza</subject><subject>Investigations</subject><subject>Land conservation</subject><subject>Land cover</subject><subject>Land use</subject><subject>Land use management</subject><subject>Land use planning</subject><subject>Models, Theoretical</subject><subject>Pattern analysis</subject><subject>Planning</subject><subject>Protection and preservation</subject><subject>Qualitative research</subject><subject>Regional planning</subject><subject>Remote sensing</subject><subject>Reservoirs</subject><subject>River ecology</subject><subject>Simulation models</subject><subject>Social Sciences</subject><subject>Soil conservation</subject><subject>Soil erosion</subject><subject>Soil water storage</subject><subject>Soils</subject><subject>Spatial analysis</subject><subject>Spatial distribution</subject><subject>Spatiotemporal data</subject><subject>Sustainable Development</subject><subject>Sustainable use</subject><subject>Temporal distribution</subject><subject>Terrestrial ecosystems</subject><subject>Trends</subject><subject>Water conservation</subject><subject>Water 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One</addtitle><date>2024-07-09</date><risdate>2024</risdate><volume>19</volume><issue>7</issue><spage>e0305400</spage><pages>e0305400-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Land Use/Land Cover (LULC) is one of the most significant human variables influencing the efficiency of Ecosystem Services (ESs) in terrestrial ecosystems. Theoretical and technical assistance for regional sustainable land use planning and management, as well as ecosystem conservation and restoration, is provided by investigating the influence of changes in the LULC pattern on the efficiency of ESs. This research focuses on the interactions between socioeconomic activities and natural ecological processes in the Three Gorges Reservoir Area (TGRA). We use LULC data from the TGRA for the years 1990, 2000, 2010, and 2020. The study includes the analysis and calculation of the spatiotemporal evolution features of the current LULC pattern and the efficiency of ESs, including their spatiotemporal distribution. Considering the TGRA's national development orientation and guidance, three potential LULC patterns are constructed under various develop-ment scenarios. To calculate the efficiency of ESs, the GeoSOS-FLUS future LULC simulation model is linked, and several methodologies such as INVEST, RUSLE, and CASA are used. The goal is to investigate the influence of future changes in LULC patterns on ESs efficiency. The findings show the following: (1) From 1990 to 2020, the values of water conservation services in the TGRA decreased and subsequently increased. High-value areas are primarily located in the reservoir's centre and eastern sections, whereas low-value areas are mostly found in the western section. Soil conservation service values initially declined and later climbed. The TGRA's carbon storage services have in-creased yearly, from 552.64 g/m2 in 2000 to 615.92 g/m2 in 2020. (2) In the ecological protection scenario, carbon storage and soil erosion increased compared to the ecosystem services in 2020. The ecological system service benefits are greater when compared to the natural development scenario. (3) The four ESs show positive spatial correlations across all three scenarios, and local spatial au-tocorrelation analysis findings demonstrate that carbon storage, water yield, and habitat quality have comparable spatial distributions across all three scenarios. To some extent, high-value areas for water conservation, soil retention, carbon storage, and habitat quality overlap.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>38980857</pmid><doi>10.1371/journal.pone.0305400</doi><orcidid>https://orcid.org/0000-0002-4386-3573</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2024-07, Vol.19 (7), p.e0305400 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_3077750719 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Public Library of Science (PLoS); PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Agglomeration Analysis Biology and Life Sciences Canyons Carbon Carbon content Carbon sequestration China Climate change Computer and Information Sciences Conservation of Natural Resources - methods Earth Earth Sciences Ecology and Environmental Sciences Ecosystem Ecosystem conservation Ecosystem management Ecosystem services Efficiency Engineering and Technology Environmental economics Environmental protection Environmental quality Environmental science Food security Geospatial data Growth models Humans Influenza Investigations Land conservation Land cover Land use Land use management Land use planning Models, Theoretical Pattern analysis Planning Protection and preservation Qualitative research Regional planning Remote sensing Reservoirs River ecology Simulation models Social Sciences Soil conservation Soil erosion Soil water storage Soils Spatial analysis Spatial distribution Spatiotemporal data Sustainable Development Sustainable use Temporal distribution Terrestrial ecosystems Trends Water conservation Water yield |
| title | The promotion of sustainable land use planning for the enhancement of ecosystem service capacity: Based on the FLUS-INVEST-RUSLE-CASA model |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T16%3A44%3A59IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20promotion%20of%20sustainable%20land%20use%20planning%20for%20the%20enhancement%20of%20ecosystem%20service%20capacity:%20Based%20on%20the%20FLUS-INVEST-RUSLE-CASA%20model&rft.jtitle=PloS%20one&rft.au=Li,%20Guiyuan&rft.date=2024-07-09&rft.volume=19&rft.issue=7&rft.spage=e0305400&rft.pages=e0305400-&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0305400&rft_dat=%3Cgale_plos_%3EA800687213%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3077750719&rft_id=info:pmid/38980857&rft_galeid=A800687213&rft_doaj_id=oai_doaj_org_article_3e340448e5e94191b7ac82173b8c0059&rfr_iscdi=true |