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Optimal Allocation of Territorial Space in the Minjiang River Basin Based on a Double Optimization Simulation Model
The unequal distribution of territorial space resources stands out as a leading cause of the human–land contradictions and environmental degradation. These issues are especially pronounced in the Minjiang River Basin, which exhibits significant regional disparities. In pursuit of solutions to these...
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Published in: | Land (Basel) 2023-11, Vol.12 (11), p.1989 |
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container_start_page | 1989 |
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creator | Wang, Ge Zhou, Ziqi Xia, Jianguo Ou, Dinghua Fei, Jianbo Gong, Shunya Xiang, Yuxiao |
description | The unequal distribution of territorial space resources stands out as a leading cause of the human–land contradictions and environmental degradation. These issues are especially pronounced in the Minjiang River Basin, which exhibits significant regional disparities. In pursuit of solutions to these pressing problems and the identification of sustainable developmental pathways, this study presents an innovative territorial space double optimization simulation model. This model integrates quantity structure optimization and distribution pattern optimization, in order to comprehensively consider the optimization of territorial space allocation and build a new territorial space pattern for the Minjiang River Basin in 2030. On this basis, we employed the Patch-generating Land Use Simulation (PLUS) model and scenario analysis method to design the double optimization scenario and natural development scenario. By comparing these two scenarios, and calculating the ecological benefits (EB), economic benefits (ECB), carbon storage (CS), and comprehensive benefits (CB) achieved in different scenarios, the validity of the double optimization model was fully verified. The results indicated that: ① the loss of sub-ecological space (PeS) under the natural development scenario was significantly larger than that under the double optimization scenario, and the loss should be mainly attributed to the large expansion of production space (PS) and living space (LS); ② the area of ecological space (ES) has reduced since 2020, but less area was lost and the retention rate was higher under the double optimization scenario; ③ the natural development scenario made the research region gain more ECB, but it also resulted in the loss of more EB and CS, whereas the Minjiang River Basin under the double optimization scenario was able to effectively balance the relationship among the three, thus achieving the best CB. The research findings provide strong scientific support for alleviating the human–land contradictions, protecting the ecological security in the basin, and promoting the sustainable development of the region. |
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These issues are especially pronounced in the Minjiang River Basin, which exhibits significant regional disparities. In pursuit of solutions to these pressing problems and the identification of sustainable developmental pathways, this study presents an innovative territorial space double optimization simulation model. This model integrates quantity structure optimization and distribution pattern optimization, in order to comprehensively consider the optimization of territorial space allocation and build a new territorial space pattern for the Minjiang River Basin in 2030. On this basis, we employed the Patch-generating Land Use Simulation (PLUS) model and scenario analysis method to design the double optimization scenario and natural development scenario. By comparing these two scenarios, and calculating the ecological benefits (EB), economic benefits (ECB), carbon storage (CS), and comprehensive benefits (CB) achieved in different scenarios, the validity of the double optimization model was fully verified. The results indicated that: ① the loss of sub-ecological space (PeS) under the natural development scenario was significantly larger than that under the double optimization scenario, and the loss should be mainly attributed to the large expansion of production space (PS) and living space (LS); ② the area of ecological space (ES) has reduced since 2020, but less area was lost and the retention rate was higher under the double optimization scenario; ③ the natural development scenario made the research region gain more ECB, but it also resulted in the loss of more EB and CS, whereas the Minjiang River Basin under the double optimization scenario was able to effectively balance the relationship among the three, thus achieving the best CB. The research findings provide strong scientific support for alleviating the human–land contradictions, protecting the ecological security in the basin, and promoting the sustainable development of the region.</description><identifier>ISSN: 2073-445X</identifier><identifier>EISSN: 2073-445X</identifier><identifier>DOI: 10.3390/land12111989</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Analysis ; Carbon sequestration ; China ; Computer simulation ; Computer-generated environments ; Design optimization ; Distribution patterns ; Ecological effects ; Economic development ; Environmental degradation ; Environmental economics ; Environmental security ; Land use ; optimal allocation ; Optimization ; Optimization models ; PLUS model ; River basins ; Rivers ; scenario analysis ; Simulation ; Simulation models ; Space allocation ; Sustainable development ; territorial space</subject><ispartof>Land (Basel), 2023-11, Vol.12 (11), p.1989</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). 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><citedby>FETCH-LOGICAL-c406t-13c69a3b6b7c5016c8cbd17df30c2852698d4d82a4d048555dd445b4cfd4984d3</citedby><cites>FETCH-LOGICAL-c406t-13c69a3b6b7c5016c8cbd17df30c2852698d4d82a4d048555dd445b4cfd4984d3</cites><orcidid>0000-0001-5956-1935</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2893227800/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2893227800?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25753,27924,27925,37012,44590,75126</link.rule.ids></links><search><creatorcontrib>Wang, Ge</creatorcontrib><creatorcontrib>Zhou, Ziqi</creatorcontrib><creatorcontrib>Xia, Jianguo</creatorcontrib><creatorcontrib>Ou, Dinghua</creatorcontrib><creatorcontrib>Fei, Jianbo</creatorcontrib><creatorcontrib>Gong, Shunya</creatorcontrib><creatorcontrib>Xiang, Yuxiao</creatorcontrib><title>Optimal Allocation of Territorial Space in the Minjiang River Basin Based on a Double Optimization Simulation Model</title><title>Land (Basel)</title><description>The unequal distribution of territorial space resources stands out as a leading cause of the human–land contradictions and environmental degradation. These issues are especially pronounced in the Minjiang River Basin, which exhibits significant regional disparities. In pursuit of solutions to these pressing problems and the identification of sustainable developmental pathways, this study presents an innovative territorial space double optimization simulation model. This model integrates quantity structure optimization and distribution pattern optimization, in order to comprehensively consider the optimization of territorial space allocation and build a new territorial space pattern for the Minjiang River Basin in 2030. On this basis, we employed the Patch-generating Land Use Simulation (PLUS) model and scenario analysis method to design the double optimization scenario and natural development scenario. By comparing these two scenarios, and calculating the ecological benefits (EB), economic benefits (ECB), carbon storage (CS), and comprehensive benefits (CB) achieved in different scenarios, the validity of the double optimization model was fully verified. The results indicated that: ① the loss of sub-ecological space (PeS) under the natural development scenario was significantly larger than that under the double optimization scenario, and the loss should be mainly attributed to the large expansion of production space (PS) and living space (LS); ② the area of ecological space (ES) has reduced since 2020, but less area was lost and the retention rate was higher under the double optimization scenario; ③ the natural development scenario made the research region gain more ECB, but it also resulted in the loss of more EB and CS, whereas the Minjiang River Basin under the double optimization scenario was able to effectively balance the relationship among the three, thus achieving the best CB. The research findings provide strong scientific support for alleviating the human–land contradictions, protecting the ecological security in the basin, and promoting the sustainable development of the region.</description><subject>Analysis</subject><subject>Carbon sequestration</subject><subject>China</subject><subject>Computer simulation</subject><subject>Computer-generated environments</subject><subject>Design optimization</subject><subject>Distribution patterns</subject><subject>Ecological effects</subject><subject>Economic development</subject><subject>Environmental degradation</subject><subject>Environmental economics</subject><subject>Environmental security</subject><subject>Land use</subject><subject>optimal allocation</subject><subject>Optimization</subject><subject>Optimization models</subject><subject>PLUS model</subject><subject>River basins</subject><subject>Rivers</subject><subject>scenario analysis</subject><subject>Simulation</subject><subject>Simulation models</subject><subject>Space allocation</subject><subject>Sustainable development</subject><subject>territorial space</subject><issn>2073-445X</issn><issn>2073-445X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpNkW1LwzAQx4soOObe-QECvnUzaZI2fTnnIygDH8B34ZqkMyNrZtoJ-uk9rYgJ5I67-_-4y2XZMaMzzit6FqC1LGeMVaray0Y5LflUCPmy_88_zCZdt6Z4KsaVkKOsW257v4FA5iFEA72PLYkNeXIp-T4mj5nHLRhHfEv6V0fufbv20K7Ig393iZxDhwl8nSWoBHIRd3Vw5IfqPwfeo9_swuDeR-vCUXbQQOjc5NeOs-ery6fFzfRueX27mN9NjaBFP2XcFBXwuqhLIykrjDK1ZaVtODW5knlRKSusykFYKpSU0lqcsRamsaJSwvJxdjtwbYS13iacM33oCF7_BGJaaUi9N8HpsqFcstoizAnGSoVfZjhwWSioqaiRdTKwtim-7VzX63XcpRbb17mqeJ6XilKsmg1VK0Cob5vYJzB4rdt4E1vXeIzPy1KgQhYCBaeDwKTYdck1f20yqr_Xqv-vlX8BvOSUWQ</recordid><startdate>20231101</startdate><enddate>20231101</enddate><creator>Wang, Ge</creator><creator>Zhou, Ziqi</creator><creator>Xia, Jianguo</creator><creator>Ou, Dinghua</creator><creator>Fei, Jianbo</creator><creator>Gong, Shunya</creator><creator>Xiang, Yuxiao</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>7ST</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>SOI</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-5956-1935</orcidid></search><sort><creationdate>20231101</creationdate><title>Optimal Allocation of Territorial Space in the Minjiang River Basin Based on a Double Optimization Simulation Model</title><author>Wang, Ge ; Zhou, Ziqi ; Xia, Jianguo ; Ou, Dinghua ; Fei, Jianbo ; Gong, Shunya ; Xiang, Yuxiao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c406t-13c69a3b6b7c5016c8cbd17df30c2852698d4d82a4d048555dd445b4cfd4984d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Analysis</topic><topic>Carbon sequestration</topic><topic>China</topic><topic>Computer simulation</topic><topic>Computer-generated environments</topic><topic>Design optimization</topic><topic>Distribution patterns</topic><topic>Ecological effects</topic><topic>Economic development</topic><topic>Environmental degradation</topic><topic>Environmental economics</topic><topic>Environmental security</topic><topic>Land use</topic><topic>optimal allocation</topic><topic>Optimization</topic><topic>Optimization models</topic><topic>PLUS model</topic><topic>River basins</topic><topic>Rivers</topic><topic>scenario analysis</topic><topic>Simulation</topic><topic>Simulation models</topic><topic>Space allocation</topic><topic>Sustainable development</topic><topic>territorial space</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Ge</creatorcontrib><creatorcontrib>Zhou, Ziqi</creatorcontrib><creatorcontrib>Xia, Jianguo</creatorcontrib><creatorcontrib>Ou, Dinghua</creatorcontrib><creatorcontrib>Fei, Jianbo</creatorcontrib><creatorcontrib>Gong, Shunya</creatorcontrib><creatorcontrib>Xiang, Yuxiao</creatorcontrib><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest Natural 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>Environmental Science Database</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</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>Environment Abstracts</collection><collection>Directory of Open Access Journals</collection><jtitle>Land (Basel)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Ge</au><au>Zhou, Ziqi</au><au>Xia, Jianguo</au><au>Ou, Dinghua</au><au>Fei, Jianbo</au><au>Gong, Shunya</au><au>Xiang, Yuxiao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimal Allocation of Territorial Space in the Minjiang River Basin Based on a Double Optimization Simulation Model</atitle><jtitle>Land (Basel)</jtitle><date>2023-11-01</date><risdate>2023</risdate><volume>12</volume><issue>11</issue><spage>1989</spage><pages>1989-</pages><issn>2073-445X</issn><eissn>2073-445X</eissn><abstract>The unequal distribution of territorial space resources stands out as a leading cause of the human–land contradictions and environmental degradation. These issues are especially pronounced in the Minjiang River Basin, which exhibits significant regional disparities. In pursuit of solutions to these pressing problems and the identification of sustainable developmental pathways, this study presents an innovative territorial space double optimization simulation model. This model integrates quantity structure optimization and distribution pattern optimization, in order to comprehensively consider the optimization of territorial space allocation and build a new territorial space pattern for the Minjiang River Basin in 2030. On this basis, we employed the Patch-generating Land Use Simulation (PLUS) model and scenario analysis method to design the double optimization scenario and natural development scenario. By comparing these two scenarios, and calculating the ecological benefits (EB), economic benefits (ECB), carbon storage (CS), and comprehensive benefits (CB) achieved in different scenarios, the validity of the double optimization model was fully verified. The results indicated that: ① the loss of sub-ecological space (PeS) under the natural development scenario was significantly larger than that under the double optimization scenario, and the loss should be mainly attributed to the large expansion of production space (PS) and living space (LS); ② the area of ecological space (ES) has reduced since 2020, but less area was lost and the retention rate was higher under the double optimization scenario; ③ the natural development scenario made the research region gain more ECB, but it also resulted in the loss of more EB and CS, whereas the Minjiang River Basin under the double optimization scenario was able to effectively balance the relationship among the three, thus achieving the best CB. The research findings provide strong scientific support for alleviating the human–land contradictions, protecting the ecological security in the basin, and promoting the sustainable development of the region.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/land12111989</doi><orcidid>https://orcid.org/0000-0001-5956-1935</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Analysis Carbon sequestration China Computer simulation Computer-generated environments Design optimization Distribution patterns Ecological effects Economic development Environmental degradation Environmental economics Environmental security Land use optimal allocation Optimization Optimization models PLUS model River basins Rivers scenario analysis Simulation Simulation models Space allocation Sustainable development territorial space |
title | Optimal Allocation of Territorial Space in the Minjiang River Basin Based on a Double Optimization Simulation Model |
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