Exploring the Relationship between Ecosystem Services under Different Socio-Economic Driving Degrees
The large-scale transformation of natural ecosystems to socio-economic development land types under human activities was a primary reason for the decline of regional ecosystem services. It is a key issue for regional ecosystem planning and management to reveal the relationship between ecosystem serv...
Gespeichert in:
Veröffentlicht in: | International journal of environmental research and public health 2022-12, Vol.19 (23), p.16105 |
---|---|
Hauptverfasser: | , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 23 |
container_start_page | 16105 |
container_title | International journal of environmental research and public health |
container_volume | 19 |
creator | Ma, Tiantian Hu, Qingbai Wang, Changle Lv, Jungang Mi, Changhong Shi, Rongguang Wang, Xiaoli Yang, Yanying Wu, Wenhao |
description | The large-scale transformation of natural ecosystems to socio-economic development land types under human activities was a primary reason for the decline of regional ecosystem services. It is a key issue for regional ecosystem planning and management to reveal the relationship between ecosystem services of different land use types under different socio-economic driving degrees. However, the current related research was not in-depth. Based on the land use data of Wuhan City in 1980, 1990, 2000, 2010, and 2020, this study classified land use into three categories according to the different degrees of human activities on natural ecosystem development: the land use of a natural ecosystem (LUNE), the land use of a productive ecosystem (LUPE), and the land use of a socio-economic system (LUSE). The InVEST model was used to simulate five ecosystem services (grain yield, water yield, carbon storage, habitat quality, and water purification), and the spatio-temporal distribution and functional transformation of the three land use types were analyzed. Results showed that with the intensified urban expansion in Wuhan, the LUSE types increased to 2.7 times that of the original. However, the natural land types basically maintained a stable area, coupling with the large-scale transformation between the LUPE and LUSE types. Land use change resulted in significant spatial changes of five ecosystem services, especially carbon storage and habitat quality. The correlation analysis indicated that the five kinds of ecosystem services mainly showed a synergistic relationship, meanwhile the LUSE type denoted the most significant correlation with ecosystem services among these three category types. This study indicated that besides the protection of natural ecosystems, the LUSE type would become the key land use type in the planning and management of improving regional ecological function. |
doi_str_mv | 10.3390/ijerph192316105 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9741315</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2748547231</sourcerecordid><originalsourceid>FETCH-LOGICAL-c421t-2da696e65277b1303a0a788ff28b89c621668aa74159e3ef08a9e641f40c11e03</originalsourceid><addsrcrecordid>eNpdkcFP2zAUhy00RKHjzG2ytMsuGXbsOPZl0kTLNgkJCcbZct2X1lViZ3bS0f8eV0AFnJ6l9_nT--mH0AUl3xlT5NJtIPZrqkpGBSXVETqlQpCCC0I_vXlP0FlKG0KY5EKdoAkTXElaq1O0nD_2bYjOr_CwBnwHrRlc8GnteryA4T-Ax3Mb0i4N0OF7iFtnIeHRLyHimWsaiOAHfB-sC0UGfeicxbPotnvlDFYRIH1Gx41pE5y_zCl6uJ7_vfpd3Nz--nP186awvKRDUS6NUAJEVdb1gjLCDDG1lE1TyoVUVpQ5jzSm5rRSwKAh0igQnDacWEqBsCn68eztx0UHS5svi6bVfXSdiTsdjNPvN96t9SpstcpORqss-PYiiOHfCGnQnUsW2tZ4CGPSZV0xRsta7NGvH9BNGKPP8TLFZcXr3EmmLp8pG0NKEZrDMZTofYP6Q4P5x5e3GQ78a2XsCY9NmTs</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2748547231</pqid></control><display><type>article</type><title>Exploring the Relationship between Ecosystem Services under Different Socio-Economic Driving Degrees</title><source>MEDLINE</source><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>Ma, Tiantian ; Hu, Qingbai ; Wang, Changle ; Lv, Jungang ; Mi, Changhong ; Shi, Rongguang ; Wang, Xiaoli ; Yang, Yanying ; Wu, Wenhao</creator><creatorcontrib>Ma, Tiantian ; Hu, Qingbai ; Wang, Changle ; Lv, Jungang ; Mi, Changhong ; Shi, Rongguang ; Wang, Xiaoli ; Yang, Yanying ; Wu, Wenhao</creatorcontrib><description>The large-scale transformation of natural ecosystems to socio-economic development land types under human activities was a primary reason for the decline of regional ecosystem services. It is a key issue for regional ecosystem planning and management to reveal the relationship between ecosystem services of different land use types under different socio-economic driving degrees. However, the current related research was not in-depth. Based on the land use data of Wuhan City in 1980, 1990, 2000, 2010, and 2020, this study classified land use into three categories according to the different degrees of human activities on natural ecosystem development: the land use of a natural ecosystem (LUNE), the land use of a productive ecosystem (LUPE), and the land use of a socio-economic system (LUSE). The InVEST model was used to simulate five ecosystem services (grain yield, water yield, carbon storage, habitat quality, and water purification), and the spatio-temporal distribution and functional transformation of the three land use types were analyzed. Results showed that with the intensified urban expansion in Wuhan, the LUSE types increased to 2.7 times that of the original. However, the natural land types basically maintained a stable area, coupling with the large-scale transformation between the LUPE and LUSE types. Land use change resulted in significant spatial changes of five ecosystem services, especially carbon storage and habitat quality. The correlation analysis indicated that the five kinds of ecosystem services mainly showed a synergistic relationship, meanwhile the LUSE type denoted the most significant correlation with ecosystem services among these three category types. This study indicated that besides the protection of natural ecosystems, the LUSE type would become the key land use type in the planning and management of improving regional ecological function.</description><identifier>ISSN: 1660-4601</identifier><identifier>ISSN: 1661-7827</identifier><identifier>EISSN: 1660-4601</identifier><identifier>DOI: 10.3390/ijerph192316105</identifier><identifier>PMID: 36498179</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Agricultural production ; Artificial intelligence ; Biodiversity ; Carbon ; Carbon sequestration ; Case studies ; China ; Cities ; Conservation of Natural Resources - methods ; Correlation analysis ; Crop yield ; Ecological succession ; Economic Development ; Ecosystem ; Ecosystem services ; Ecosystems ; Environmental economics ; Environmental quality ; Humans ; Land use ; Regional planning ; Remote sensing ; River ecology ; Socioeconomic factors ; Socioeconomics ; Spatial distribution ; Temporal distribution ; Transformations ; Urban sprawl ; Urbanization ; Water purification ; Water quality ; Water shortages ; Water yield ; Wetlands</subject><ispartof>International journal of environmental research and public health, 2022-12, Vol.19 (23), p.16105</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-c421t-2da696e65277b1303a0a788ff28b89c621668aa74159e3ef08a9e641f40c11e03</citedby><cites>FETCH-LOGICAL-c421t-2da696e65277b1303a0a788ff28b89c621668aa74159e3ef08a9e641f40c11e03</cites><orcidid>0000-0003-4094-368X ; 0000-0001-7874-4649</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/PMC9741315/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9741315/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,886,27929,27930,53796,53798</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36498179$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ma, Tiantian</creatorcontrib><creatorcontrib>Hu, Qingbai</creatorcontrib><creatorcontrib>Wang, Changle</creatorcontrib><creatorcontrib>Lv, Jungang</creatorcontrib><creatorcontrib>Mi, Changhong</creatorcontrib><creatorcontrib>Shi, Rongguang</creatorcontrib><creatorcontrib>Wang, Xiaoli</creatorcontrib><creatorcontrib>Yang, Yanying</creatorcontrib><creatorcontrib>Wu, Wenhao</creatorcontrib><title>Exploring the Relationship between Ecosystem Services under Different Socio-Economic Driving Degrees</title><title>International journal of environmental research and public health</title><addtitle>Int J Environ Res Public Health</addtitle><description>The large-scale transformation of natural ecosystems to socio-economic development land types under human activities was a primary reason for the decline of regional ecosystem services. It is a key issue for regional ecosystem planning and management to reveal the relationship between ecosystem services of different land use types under different socio-economic driving degrees. However, the current related research was not in-depth. Based on the land use data of Wuhan City in 1980, 1990, 2000, 2010, and 2020, this study classified land use into three categories according to the different degrees of human activities on natural ecosystem development: the land use of a natural ecosystem (LUNE), the land use of a productive ecosystem (LUPE), and the land use of a socio-economic system (LUSE). The InVEST model was used to simulate five ecosystem services (grain yield, water yield, carbon storage, habitat quality, and water purification), and the spatio-temporal distribution and functional transformation of the three land use types were analyzed. Results showed that with the intensified urban expansion in Wuhan, the LUSE types increased to 2.7 times that of the original. However, the natural land types basically maintained a stable area, coupling with the large-scale transformation between the LUPE and LUSE types. Land use change resulted in significant spatial changes of five ecosystem services, especially carbon storage and habitat quality. The correlation analysis indicated that the five kinds of ecosystem services mainly showed a synergistic relationship, meanwhile the LUSE type denoted the most significant correlation with ecosystem services among these three category types. This study indicated that besides the protection of natural ecosystems, the LUSE type would become the key land use type in the planning and management of improving regional ecological function.</description><subject>Agricultural production</subject><subject>Artificial intelligence</subject><subject>Biodiversity</subject><subject>Carbon</subject><subject>Carbon sequestration</subject><subject>Case studies</subject><subject>China</subject><subject>Cities</subject><subject>Conservation of Natural Resources - methods</subject><subject>Correlation analysis</subject><subject>Crop yield</subject><subject>Ecological succession</subject><subject>Economic Development</subject><subject>Ecosystem</subject><subject>Ecosystem services</subject><subject>Ecosystems</subject><subject>Environmental economics</subject><subject>Environmental quality</subject><subject>Humans</subject><subject>Land use</subject><subject>Regional planning</subject><subject>Remote sensing</subject><subject>River ecology</subject><subject>Socioeconomic factors</subject><subject>Socioeconomics</subject><subject>Spatial distribution</subject><subject>Temporal distribution</subject><subject>Transformations</subject><subject>Urban sprawl</subject><subject>Urbanization</subject><subject>Water purification</subject><subject>Water quality</subject><subject>Water shortages</subject><subject>Water yield</subject><subject>Wetlands</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>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpdkcFP2zAUhy00RKHjzG2ytMsuGXbsOPZl0kTLNgkJCcbZct2X1lViZ3bS0f8eV0AFnJ6l9_nT--mH0AUl3xlT5NJtIPZrqkpGBSXVETqlQpCCC0I_vXlP0FlKG0KY5EKdoAkTXElaq1O0nD_2bYjOr_CwBnwHrRlc8GnteryA4T-Ax3Mb0i4N0OF7iFtnIeHRLyHimWsaiOAHfB-sC0UGfeicxbPotnvlDFYRIH1Gx41pE5y_zCl6uJ7_vfpd3Nz--nP186awvKRDUS6NUAJEVdb1gjLCDDG1lE1TyoVUVpQ5jzSm5rRSwKAh0igQnDacWEqBsCn68eztx0UHS5svi6bVfXSdiTsdjNPvN96t9SpstcpORqss-PYiiOHfCGnQnUsW2tZ4CGPSZV0xRsta7NGvH9BNGKPP8TLFZcXr3EmmLp8pG0NKEZrDMZTofYP6Q4P5x5e3GQ78a2XsCY9NmTs</recordid><startdate>20221201</startdate><enddate>20221201</enddate><creator>Ma, Tiantian</creator><creator>Hu, Qingbai</creator><creator>Wang, Changle</creator><creator>Lv, Jungang</creator><creator>Mi, Changhong</creator><creator>Shi, Rongguang</creator><creator>Wang, Xiaoli</creator><creator>Yang, Yanying</creator><creator>Wu, Wenhao</creator><general>MDPI AG</general><general>MDPI</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><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>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-4094-368X</orcidid><orcidid>https://orcid.org/0000-0001-7874-4649</orcidid></search><sort><creationdate>20221201</creationdate><title>Exploring the Relationship between Ecosystem Services under Different Socio-Economic Driving Degrees</title><author>Ma, Tiantian ; Hu, Qingbai ; Wang, Changle ; Lv, Jungang ; Mi, Changhong ; Shi, Rongguang ; Wang, Xiaoli ; Yang, Yanying ; Wu, Wenhao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c421t-2da696e65277b1303a0a788ff28b89c621668aa74159e3ef08a9e641f40c11e03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Agricultural production</topic><topic>Artificial intelligence</topic><topic>Biodiversity</topic><topic>Carbon</topic><topic>Carbon sequestration</topic><topic>Case studies</topic><topic>China</topic><topic>Cities</topic><topic>Conservation of Natural Resources - methods</topic><topic>Correlation analysis</topic><topic>Crop yield</topic><topic>Ecological succession</topic><topic>Economic Development</topic><topic>Ecosystem</topic><topic>Ecosystem services</topic><topic>Ecosystems</topic><topic>Environmental economics</topic><topic>Environmental quality</topic><topic>Humans</topic><topic>Land use</topic><topic>Regional planning</topic><topic>Remote sensing</topic><topic>River ecology</topic><topic>Socioeconomic factors</topic><topic>Socioeconomics</topic><topic>Spatial distribution</topic><topic>Temporal distribution</topic><topic>Transformations</topic><topic>Urban sprawl</topic><topic>Urbanization</topic><topic>Water purification</topic><topic>Water quality</topic><topic>Water shortages</topic><topic>Water yield</topic><topic>Wetlands</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ma, Tiantian</creatorcontrib><creatorcontrib>Hu, Qingbai</creatorcontrib><creatorcontrib>Wang, Changle</creatorcontrib><creatorcontrib>Lv, Jungang</creatorcontrib><creatorcontrib>Mi, Changhong</creatorcontrib><creatorcontrib>Shi, Rongguang</creatorcontrib><creatorcontrib>Wang, Xiaoli</creatorcontrib><creatorcontrib>Yang, Yanying</creatorcontrib><creatorcontrib>Wu, Wenhao</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><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>ProQuest Central China</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>Ma, Tiantian</au><au>Hu, Qingbai</au><au>Wang, Changle</au><au>Lv, Jungang</au><au>Mi, Changhong</au><au>Shi, Rongguang</au><au>Wang, Xiaoli</au><au>Yang, Yanying</au><au>Wu, Wenhao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Exploring the Relationship between Ecosystem Services under Different Socio-Economic Driving Degrees</atitle><jtitle>International journal of environmental research and public health</jtitle><addtitle>Int J Environ Res Public Health</addtitle><date>2022-12-01</date><risdate>2022</risdate><volume>19</volume><issue>23</issue><spage>16105</spage><pages>16105-</pages><issn>1660-4601</issn><issn>1661-7827</issn><eissn>1660-4601</eissn><abstract>The large-scale transformation of natural ecosystems to socio-economic development land types under human activities was a primary reason for the decline of regional ecosystem services. It is a key issue for regional ecosystem planning and management to reveal the relationship between ecosystem services of different land use types under different socio-economic driving degrees. However, the current related research was not in-depth. Based on the land use data of Wuhan City in 1980, 1990, 2000, 2010, and 2020, this study classified land use into three categories according to the different degrees of human activities on natural ecosystem development: the land use of a natural ecosystem (LUNE), the land use of a productive ecosystem (LUPE), and the land use of a socio-economic system (LUSE). The InVEST model was used to simulate five ecosystem services (grain yield, water yield, carbon storage, habitat quality, and water purification), and the spatio-temporal distribution and functional transformation of the three land use types were analyzed. Results showed that with the intensified urban expansion in Wuhan, the LUSE types increased to 2.7 times that of the original. However, the natural land types basically maintained a stable area, coupling with the large-scale transformation between the LUPE and LUSE types. Land use change resulted in significant spatial changes of five ecosystem services, especially carbon storage and habitat quality. The correlation analysis indicated that the five kinds of ecosystem services mainly showed a synergistic relationship, meanwhile the LUSE type denoted the most significant correlation with ecosystem services among these three category types. This study indicated that besides the protection of natural ecosystems, the LUSE type would become the key land use type in the planning and management of improving regional ecological function.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>36498179</pmid><doi>10.3390/ijerph192316105</doi><orcidid>https://orcid.org/0000-0003-4094-368X</orcidid><orcidid>https://orcid.org/0000-0001-7874-4649</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1660-4601 |
ispartof | International journal of environmental research and public health, 2022-12, Vol.19 (23), p.16105 |
issn | 1660-4601 1661-7827 1660-4601 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9741315 |
source | MEDLINE; PubMed Central Open Access; MDPI - Multidisciplinary Digital Publishing Institute; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
subjects | Agricultural production Artificial intelligence Biodiversity Carbon Carbon sequestration Case studies China Cities Conservation of Natural Resources - methods Correlation analysis Crop yield Ecological succession Economic Development Ecosystem Ecosystem services Ecosystems Environmental economics Environmental quality Humans Land use Regional planning Remote sensing River ecology Socioeconomic factors Socioeconomics Spatial distribution Temporal distribution Transformations Urban sprawl Urbanization Water purification Water quality Water shortages Water yield Wetlands |
title | Exploring the Relationship between Ecosystem Services under Different Socio-Economic Driving Degrees |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-12T03%3A55%3A40IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Exploring%20the%20Relationship%20between%20Ecosystem%20Services%20under%20Different%20Socio-Economic%20Driving%20Degrees&rft.jtitle=International%20journal%20of%20environmental%20research%20and%20public%20health&rft.au=Ma,%20Tiantian&rft.date=2022-12-01&rft.volume=19&rft.issue=23&rft.spage=16105&rft.pages=16105-&rft.issn=1660-4601&rft.eissn=1660-4601&rft_id=info:doi/10.3390/ijerph192316105&rft_dat=%3Cproquest_pubme%3E2748547231%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2748547231&rft_id=info:pmid/36498179&rfr_iscdi=true |