Multi-Scenario Simulation and Trade-Off Analysis of Ecological Service Value in the Manas River Basin Based on Land Use Optimization in China
Rapid socio-economic development has had a significant impact on land use/cover (LULC) changes, which bring great pressure to the ecological environment. LULC changes affect ecosystem services by altering the structure and function of ecosystems. It is of great significance to reveal the internal re...
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description | Rapid socio-economic development has had a significant impact on land use/cover (LULC) changes, which bring great pressure to the ecological environment. LULC changes affect ecosystem services by altering the structure and function of ecosystems. It is of great significance to reveal the internal relationship between LULC changes and ecosystem service value (ESV) for the protection and restoration of ecological environments. In this study, based on the spatial and temporal evolution of ecological service values in the Manas River basin from 1980 to 2020 and considering ecological and economic benefits, we coupled the gray multi-objective optimization model (GMOP) and patch-generating land-use simulation (PLUS) model (GMOP-PLUS model) to optimize the LULC structure under three scenarios (a natural development scenario, ND; ecological priority development scenario, (EPD); and balanced ecological and economic development scenario, EED) in 2030, and analyzed the trade-offs and synergies in the relationships among the four services. We found that from 1980 to 2020, farmland and construction land expanded 2017.90 km
and 254.27 km
, respectively, whereas the areas of grassland and unused land decreased by 1617.38 km
and 755.86 km
, respectively. By 2030, the trend of LULC changes will be stable under the ND scenario, the area of ecological land will increase by 327.42 km
under the EPD scenario, and the area of construction land will increase most under the EED scenario, reaching 65.01 km
. From 1980 to 2020, the ESV exhibited an upward trend in the basin. In 2030, the ESV will increase by 7.18%, 6.54%, and 6.04% under the EPD, EED, and ND scenarios, respectively. The clustering of the four services is obvious in the desert area and around the water system with "low-low synergy" and "high-high synergy"; the plain area and mountainous area are mainly "high-low trade-off" and "low-high trade-off" relationships. This paper provides a scientific reference for coordinating economic development and ecological protection in the basin. It also provides a new technical approach to address the planning of land resources in the basin. |
doi_str_mv | 10.3390/ijerph19106216 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9141732</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2670187217</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2636-d4070b38f4a9de3dce8aa2e4f3f35fb6d6b7a7519c4d605a32062763212659c03</originalsourceid><addsrcrecordid>eNpdkUtv1DAURi0Eou3AliWyxIZNih-Jk2yQ2lF5SFONxLRsrTvOTccjxx7sZKTyH_jPdZlStWxsyz732L4fIe84O5WyZZ_sFuNuw1vOlODqBTnmSrGiVIy_fLI-IicpbRmTTana1-RIVkrUddUckz-XkxttsTLoIdpAV3aYHIw2eAq-o1cROiyWfU_PPLjbZBMNPb0wwYUba8DRFca9NUh_gpuQWk_HDdJL8JDoD7vHSM8h5d08YkezdHFvvU5Il7vRDvb34apMzDfWwxvyqgeX8O3DPCPXXy6u5t-KxfLr9_nZojBCSVV0JavZWjZ9CW2HsjPYAAgse9nLql-rTq1rqCvemrJTrAIpcndqJQUXqmoNkzPy-eDdTesBc70fIzi9i3aAeKsDWP38xNuNvgl73fKS11JkwccHQQy_JkyjHmwy6Bx4DFPSQtVcNKzhZUY__IduwxRzN_9SjDe1yMoZOT1QJoaUIvaPj-FM3yetnyedC94__cIj_i9aeQe13aX9</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2670187217</pqid></control><display><type>article</type><title>Multi-Scenario Simulation and Trade-Off Analysis of Ecological Service Value in the Manas River Basin Based on Land Use Optimization in China</title><source>PubMed Central Open Access</source><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Du, Yongjun ; Li, Xiaolong ; He, Xinlin ; Li, Xiaoqian ; Yang, Guang ; Li, Dongbo ; Xu, Wenhe ; Qiao, Xiang ; Li, Chen ; Sui, Lu</creator><creatorcontrib>Du, Yongjun ; Li, Xiaolong ; He, Xinlin ; Li, Xiaoqian ; Yang, Guang ; Li, Dongbo ; Xu, Wenhe ; Qiao, Xiang ; Li, Chen ; Sui, Lu</creatorcontrib><description>Rapid socio-economic development has had a significant impact on land use/cover (LULC) changes, which bring great pressure to the ecological environment. LULC changes affect ecosystem services by altering the structure and function of ecosystems. It is of great significance to reveal the internal relationship between LULC changes and ecosystem service value (ESV) for the protection and restoration of ecological environments. In this study, based on the spatial and temporal evolution of ecological service values in the Manas River basin from 1980 to 2020 and considering ecological and economic benefits, we coupled the gray multi-objective optimization model (GMOP) and patch-generating land-use simulation (PLUS) model (GMOP-PLUS model) to optimize the LULC structure under three scenarios (a natural development scenario, ND; ecological priority development scenario, (EPD); and balanced ecological and economic development scenario, EED) in 2030, and analyzed the trade-offs and synergies in the relationships among the four services. We found that from 1980 to 2020, farmland and construction land expanded 2017.90 km
and 254.27 km
, respectively, whereas the areas of grassland and unused land decreased by 1617.38 km
and 755.86 km
, respectively. By 2030, the trend of LULC changes will be stable under the ND scenario, the area of ecological land will increase by 327.42 km
under the EPD scenario, and the area of construction land will increase most under the EED scenario, reaching 65.01 km
. From 1980 to 2020, the ESV exhibited an upward trend in the basin. In 2030, the ESV will increase by 7.18%, 6.54%, and 6.04% under the EPD, EED, and ND scenarios, respectively. The clustering of the four services is obvious in the desert area and around the water system with "low-low synergy" and "high-high synergy"; the plain area and mountainous area are mainly "high-low trade-off" and "low-high trade-off" relationships. This paper provides a scientific reference for coordinating economic development and ecological protection in the basin. It also provides a new technical approach to address the planning of land resources in the basin.</description><identifier>ISSN: 1660-4601</identifier><identifier>ISSN: 1661-7827</identifier><identifier>EISSN: 1660-4601</identifier><identifier>DOI: 10.3390/ijerph19106216</identifier><identifier>PMID: 35627758</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Agricultural land ; Arid zones ; Clustering ; Deserts ; Economic development ; Ecosystem services ; Ecosystems ; Environmental economics ; Environmental protection ; Environmental restoration ; Grasslands ; Impact analysis ; Land resources ; Land use ; Mountainous areas ; Multiple objective analysis ; Optimization ; Optimization models ; River basins ; River ecology ; Rivers ; Simulation ; Structure-function relationships ; Sustainable development ; Tradeoffs</subject><ispartof>International journal of environmental research and public health, 2022-05, Vol.19 (10), p.6216</ispartof><rights>2022 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><rights>2022 by the authors. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2636-d4070b38f4a9de3dce8aa2e4f3f35fb6d6b7a7519c4d605a32062763212659c03</citedby><cites>FETCH-LOGICAL-c2636-d4070b38f4a9de3dce8aa2e4f3f35fb6d6b7a7519c4d605a32062763212659c03</cites><orcidid>0000-0002-4627-6841</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/PMC9141732/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141732/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35627758$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Du, Yongjun</creatorcontrib><creatorcontrib>Li, Xiaolong</creatorcontrib><creatorcontrib>He, Xinlin</creatorcontrib><creatorcontrib>Li, Xiaoqian</creatorcontrib><creatorcontrib>Yang, Guang</creatorcontrib><creatorcontrib>Li, Dongbo</creatorcontrib><creatorcontrib>Xu, Wenhe</creatorcontrib><creatorcontrib>Qiao, Xiang</creatorcontrib><creatorcontrib>Li, Chen</creatorcontrib><creatorcontrib>Sui, Lu</creatorcontrib><title>Multi-Scenario Simulation and Trade-Off Analysis of Ecological Service Value in the Manas River Basin Based on Land Use Optimization in China</title><title>International journal of environmental research and public health</title><addtitle>Int J Environ Res Public Health</addtitle><description>Rapid socio-economic development has had a significant impact on land use/cover (LULC) changes, which bring great pressure to the ecological environment. LULC changes affect ecosystem services by altering the structure and function of ecosystems. It is of great significance to reveal the internal relationship between LULC changes and ecosystem service value (ESV) for the protection and restoration of ecological environments. In this study, based on the spatial and temporal evolution of ecological service values in the Manas River basin from 1980 to 2020 and considering ecological and economic benefits, we coupled the gray multi-objective optimization model (GMOP) and patch-generating land-use simulation (PLUS) model (GMOP-PLUS model) to optimize the LULC structure under three scenarios (a natural development scenario, ND; ecological priority development scenario, (EPD); and balanced ecological and economic development scenario, EED) in 2030, and analyzed the trade-offs and synergies in the relationships among the four services. We found that from 1980 to 2020, farmland and construction land expanded 2017.90 km
and 254.27 km
, respectively, whereas the areas of grassland and unused land decreased by 1617.38 km
and 755.86 km
, respectively. By 2030, the trend of LULC changes will be stable under the ND scenario, the area of ecological land will increase by 327.42 km
under the EPD scenario, and the area of construction land will increase most under the EED scenario, reaching 65.01 km
. From 1980 to 2020, the ESV exhibited an upward trend in the basin. In 2030, the ESV will increase by 7.18%, 6.54%, and 6.04% under the EPD, EED, and ND scenarios, respectively. The clustering of the four services is obvious in the desert area and around the water system with "low-low synergy" and "high-high synergy"; the plain area and mountainous area are mainly "high-low trade-off" and "low-high trade-off" relationships. This paper provides a scientific reference for coordinating economic development and ecological protection in the basin. It also provides a new technical approach to address the planning of land resources in the basin.</description><subject>Agricultural land</subject><subject>Arid zones</subject><subject>Clustering</subject><subject>Deserts</subject><subject>Economic development</subject><subject>Ecosystem services</subject><subject>Ecosystems</subject><subject>Environmental economics</subject><subject>Environmental protection</subject><subject>Environmental restoration</subject><subject>Grasslands</subject><subject>Impact analysis</subject><subject>Land resources</subject><subject>Land use</subject><subject>Mountainous areas</subject><subject>Multiple objective analysis</subject><subject>Optimization</subject><subject>Optimization models</subject><subject>River basins</subject><subject>River ecology</subject><subject>Rivers</subject><subject>Simulation</subject><subject>Structure-function relationships</subject><subject>Sustainable development</subject><subject>Tradeoffs</subject><issn>1660-4601</issn><issn>1661-7827</issn><issn>1660-4601</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpdkUtv1DAURi0Eou3AliWyxIZNih-Jk2yQ2lF5SFONxLRsrTvOTccjxx7sZKTyH_jPdZlStWxsyz732L4fIe84O5WyZZ_sFuNuw1vOlODqBTnmSrGiVIy_fLI-IicpbRmTTana1-RIVkrUddUckz-XkxttsTLoIdpAV3aYHIw2eAq-o1cROiyWfU_PPLjbZBMNPb0wwYUba8DRFca9NUh_gpuQWk_HDdJL8JDoD7vHSM8h5d08YkezdHFvvU5Il7vRDvb34apMzDfWwxvyqgeX8O3DPCPXXy6u5t-KxfLr9_nZojBCSVV0JavZWjZ9CW2HsjPYAAgse9nLql-rTq1rqCvemrJTrAIpcndqJQUXqmoNkzPy-eDdTesBc70fIzi9i3aAeKsDWP38xNuNvgl73fKS11JkwccHQQy_JkyjHmwy6Bx4DFPSQtVcNKzhZUY__IduwxRzN_9SjDe1yMoZOT1QJoaUIvaPj-FM3yetnyedC94__cIj_i9aeQe13aX9</recordid><startdate>20220520</startdate><enddate>20220520</enddate><creator>Du, Yongjun</creator><creator>Li, Xiaolong</creator><creator>He, Xinlin</creator><creator>Li, Xiaoqian</creator><creator>Yang, Guang</creator><creator>Li, Dongbo</creator><creator>Xu, Wenhe</creator><creator>Qiao, Xiang</creator><creator>Li, Chen</creator><creator>Sui, Lu</creator><general>MDPI AG</general><general>MDPI</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-4627-6841</orcidid></search><sort><creationdate>20220520</creationdate><title>Multi-Scenario Simulation and Trade-Off Analysis of Ecological Service Value in the Manas River Basin Based on Land Use Optimization in China</title><author>Du, Yongjun ; Li, Xiaolong ; He, Xinlin ; Li, Xiaoqian ; Yang, Guang ; Li, Dongbo ; Xu, Wenhe ; Qiao, Xiang ; Li, Chen ; Sui, Lu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2636-d4070b38f4a9de3dce8aa2e4f3f35fb6d6b7a7519c4d605a32062763212659c03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Agricultural land</topic><topic>Arid zones</topic><topic>Clustering</topic><topic>Deserts</topic><topic>Economic development</topic><topic>Ecosystem services</topic><topic>Ecosystems</topic><topic>Environmental economics</topic><topic>Environmental protection</topic><topic>Environmental restoration</topic><topic>Grasslands</topic><topic>Impact analysis</topic><topic>Land resources</topic><topic>Land use</topic><topic>Mountainous areas</topic><topic>Multiple objective analysis</topic><topic>Optimization</topic><topic>Optimization models</topic><topic>River basins</topic><topic>River ecology</topic><topic>Rivers</topic><topic>Simulation</topic><topic>Structure-function relationships</topic><topic>Sustainable development</topic><topic>Tradeoffs</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Du, Yongjun</creatorcontrib><creatorcontrib>Li, Xiaolong</creatorcontrib><creatorcontrib>He, Xinlin</creatorcontrib><creatorcontrib>Li, Xiaoqian</creatorcontrib><creatorcontrib>Yang, Guang</creatorcontrib><creatorcontrib>Li, Dongbo</creatorcontrib><creatorcontrib>Xu, Wenhe</creatorcontrib><creatorcontrib>Qiao, Xiang</creatorcontrib><creatorcontrib>Li, Chen</creatorcontrib><creatorcontrib>Sui, Lu</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Publicly Available Content 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>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>International journal of environmental research and public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Du, Yongjun</au><au>Li, Xiaolong</au><au>He, Xinlin</au><au>Li, Xiaoqian</au><au>Yang, Guang</au><au>Li, Dongbo</au><au>Xu, Wenhe</au><au>Qiao, Xiang</au><au>Li, Chen</au><au>Sui, Lu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multi-Scenario Simulation and Trade-Off Analysis of Ecological Service Value in the Manas River Basin Based on Land Use Optimization in China</atitle><jtitle>International journal of environmental research and public health</jtitle><addtitle>Int J Environ Res Public Health</addtitle><date>2022-05-20</date><risdate>2022</risdate><volume>19</volume><issue>10</issue><spage>6216</spage><pages>6216-</pages><issn>1660-4601</issn><issn>1661-7827</issn><eissn>1660-4601</eissn><abstract>Rapid socio-economic development has had a significant impact on land use/cover (LULC) changes, which bring great pressure to the ecological environment. LULC changes affect ecosystem services by altering the structure and function of ecosystems. It is of great significance to reveal the internal relationship between LULC changes and ecosystem service value (ESV) for the protection and restoration of ecological environments. In this study, based on the spatial and temporal evolution of ecological service values in the Manas River basin from 1980 to 2020 and considering ecological and economic benefits, we coupled the gray multi-objective optimization model (GMOP) and patch-generating land-use simulation (PLUS) model (GMOP-PLUS model) to optimize the LULC structure under three scenarios (a natural development scenario, ND; ecological priority development scenario, (EPD); and balanced ecological and economic development scenario, EED) in 2030, and analyzed the trade-offs and synergies in the relationships among the four services. We found that from 1980 to 2020, farmland and construction land expanded 2017.90 km
and 254.27 km
, respectively, whereas the areas of grassland and unused land decreased by 1617.38 km
and 755.86 km
, respectively. By 2030, the trend of LULC changes will be stable under the ND scenario, the area of ecological land will increase by 327.42 km
under the EPD scenario, and the area of construction land will increase most under the EED scenario, reaching 65.01 km
. From 1980 to 2020, the ESV exhibited an upward trend in the basin. In 2030, the ESV will increase by 7.18%, 6.54%, and 6.04% under the EPD, EED, and ND scenarios, respectively. The clustering of the four services is obvious in the desert area and around the water system with "low-low synergy" and "high-high synergy"; the plain area and mountainous area are mainly "high-low trade-off" and "low-high trade-off" relationships. This paper provides a scientific reference for coordinating economic development and ecological protection in the basin. It also provides a new technical approach to address the planning of land resources in the basin.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>35627758</pmid><doi>10.3390/ijerph19106216</doi><orcidid>https://orcid.org/0000-0002-4627-6841</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Agricultural land Arid zones Clustering Deserts Economic development Ecosystem services Ecosystems Environmental economics Environmental protection Environmental restoration Grasslands Impact analysis Land resources Land use Mountainous areas Multiple objective analysis Optimization Optimization models River basins River ecology Rivers Simulation Structure-function relationships Sustainable development Tradeoffs |
title | Multi-Scenario Simulation and Trade-Off Analysis of Ecological Service Value in the Manas River Basin Based on Land Use Optimization in China |
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