Analysis and prediction of carbon balance in production-living-ecological space of Henan Province, China
As the carrier of human economic activities, the change of territorial space affects the level of regional carbon balance. Therefore, with regional carbon balance as the goal, this paper proposed a framework from the perspective of production-living-ecological space and took Henan Province of China...
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Veröffentlicht in: | Environmental science and pollution research international 2023-06, Vol.30 (30), p.75973-75988 |
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description | As the carrier of human economic activities, the change of territorial space affects the level of regional carbon balance. Therefore, with regional carbon balance as the goal, this paper proposed a framework from the perspective of production-living-ecological space and took Henan Province of China as a study area for empirical research. First, the study area established an accounting inventory that considers nature, society, and economic activities to calculate carbon sequestration/emission. Then, the spatiotemporal pattern of carbon balance was analyzed by ArcGIS from 1995 to 2015. Later, the CA-MCE-Markov model was used to simulate the production-living-ecological space pattern in 2035, and carbon balance in three future scenarios was predicted. The study showed that from 1995 to 2015, the living space gradually expanded, and the aggregation rose while the production space decreased. Carbon sequestration (CS) was less than carbon emission (CE) and presented an unbalanced state of negative income in 1995, while CS exceeded CE and showed a positive income imbalance in 2015. In 2035, living space has the highest carbon emission capacity under natural change scenario (NC), while ecological space has the highest carbon sequestration capacity under ecological protection scenario (EP), and production space has the highest carbon sequestration capacity under food security scenario (FS). The results are crucial for understanding the carbon balance changes in territorial space and supporting regional carbon balance goals in the future. |
doi_str_mv | 10.1007/s11356-023-27705-8 |
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Therefore, with regional carbon balance as the goal, this paper proposed a framework from the perspective of production-living-ecological space and took Henan Province of China as a study area for empirical research. First, the study area established an accounting inventory that considers nature, society, and economic activities to calculate carbon sequestration/emission. Then, the spatiotemporal pattern of carbon balance was analyzed by ArcGIS from 1995 to 2015. Later, the CA-MCE-Markov model was used to simulate the production-living-ecological space pattern in 2035, and carbon balance in three future scenarios was predicted. The study showed that from 1995 to 2015, the living space gradually expanded, and the aggregation rose while the production space decreased. Carbon sequestration (CS) was less than carbon emission (CE) and presented an unbalanced state of negative income in 1995, while CS exceeded CE and showed a positive income imbalance in 2015. In 2035, living space has the highest carbon emission capacity under natural change scenario (NC), while ecological space has the highest carbon sequestration capacity under ecological protection scenario (EP), and production space has the highest carbon sequestration capacity under food security scenario (FS). The results are crucial for understanding the carbon balance changes in territorial space and supporting regional carbon balance goals in the future.</description><identifier>ISSN: 1614-7499</identifier><identifier>ISSN: 0944-1344</identifier><identifier>EISSN: 1614-7499</identifier><identifier>DOI: 10.1007/s11356-023-27705-8</identifier><identifier>PMID: 37227633</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Aquatic Pollution ; Atmospheric Protection/Air Quality Control/Air Pollution ; Carbon ; Carbon - analysis ; Carbon Sequestration ; China ; Cities ; Conservation of Natural Resources ; Earth and Environmental Science ; Economic activity ; Economics ; Ecosystem ; Ecotoxicology ; Emission analysis ; Emissions ; Empirical analysis ; empirical research ; Environment ; Environmental Chemistry ; Environmental Health ; Environmental science ; Food security ; Forecasting ; Humans ; Income ; inventories ; Markov chains ; prediction ; Research Article ; society ; Waste Water Technology ; Water Management ; Water Pollution Control</subject><ispartof>Environmental science and pollution research international, 2023-06, Vol.30 (30), p.75973-75988</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c403t-4828e0c626ffda947760ff44c1d736ae5597a7fa1980cd2104b347668da3e4d13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11356-023-27705-8$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11356-023-27705-8$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,778,782,27907,27908,41471,42540,51302</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37227633$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Xiao</creatorcontrib><creatorcontrib>Wang, Yinghan</creatorcontrib><creatorcontrib>Wu, Kening</creatorcontrib><creatorcontrib>Feng, Zhe</creatorcontrib><title>Analysis and prediction of carbon balance in production-living-ecological space of Henan Province, China</title><title>Environmental science and pollution research international</title><addtitle>Environ Sci Pollut Res</addtitle><addtitle>Environ Sci Pollut Res Int</addtitle><description>As the carrier of human economic activities, the change of territorial space affects the level of regional carbon balance. Therefore, with regional carbon balance as the goal, this paper proposed a framework from the perspective of production-living-ecological space and took Henan Province of China as a study area for empirical research. First, the study area established an accounting inventory that considers nature, society, and economic activities to calculate carbon sequestration/emission. Then, the spatiotemporal pattern of carbon balance was analyzed by ArcGIS from 1995 to 2015. Later, the CA-MCE-Markov model was used to simulate the production-living-ecological space pattern in 2035, and carbon balance in three future scenarios was predicted. The study showed that from 1995 to 2015, the living space gradually expanded, and the aggregation rose while the production space decreased. Carbon sequestration (CS) was less than carbon emission (CE) and presented an unbalanced state of negative income in 1995, while CS exceeded CE and showed a positive income imbalance in 2015. In 2035, living space has the highest carbon emission capacity under natural change scenario (NC), while ecological space has the highest carbon sequestration capacity under ecological protection scenario (EP), and production space has the highest carbon sequestration capacity under food security scenario (FS). The results are crucial for understanding the carbon balance changes in territorial space and supporting regional carbon balance goals in the future.</description><subject>Aquatic Pollution</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Carbon</subject><subject>Carbon - analysis</subject><subject>Carbon Sequestration</subject><subject>China</subject><subject>Cities</subject><subject>Conservation of Natural Resources</subject><subject>Earth and Environmental Science</subject><subject>Economic activity</subject><subject>Economics</subject><subject>Ecosystem</subject><subject>Ecotoxicology</subject><subject>Emission analysis</subject><subject>Emissions</subject><subject>Empirical analysis</subject><subject>empirical research</subject><subject>Environment</subject><subject>Environmental Chemistry</subject><subject>Environmental Health</subject><subject>Environmental science</subject><subject>Food security</subject><subject>Forecasting</subject><subject>Humans</subject><subject>Income</subject><subject>inventories</subject><subject>Markov chains</subject><subject>prediction</subject><subject>Research Article</subject><subject>society</subject><subject>Waste Water Technology</subject><subject>Water Management</subject><subject>Water Pollution Control</subject><issn>1614-7499</issn><issn>0944-1344</issn><issn>1614-7499</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</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><sourceid>GNUQQ</sourceid><recordid>eNqFkUtPAyEUhYnR-P4DLswkblyI8mZYmsZXYqILXRMKTMVMoULHpP9ean3Fha64yfnOAe4B4ACjU4yQPCsYUy4gIhQSKRGH7RrYxgIzKJlS6z_mLbBTyjNCBCkiN8EWlYRIQek2eDqPpl-UUBoTXTPL3gU7Dyk2qWusyeM6jU1vovVNiFVPbnjXYR9eQ5xAb1OfJsGavikzU6nqu_bRxOY-p0pYf9KMnkI0e2CjM33x-x_nLni8vHgYXcPbu6ub0fkttAzROWQtaT2ygoiuc0YxKQXqOsYsdpIK4zlX0sjOYNUi6whGbEyZFKJ1hnrmMN0Fx6vc-taXwZe5noZifV__4NNQNMWcYsG5UP-ipMV1XQIxWdGjX-hzGnJd3ZIiirdK8SVFVpTNqZTsOz3LYWryQmOkl5XpVWW6VqbfK9NtNR1-RA_jqXdfls-OKkBXQKlSnPj8ffcfsW_J-6BU</recordid><startdate>20230601</startdate><enddate>20230601</enddate><creator>Li, Xiao</creator><creator>Wang, Yinghan</creator><creator>Wu, Kening</creator><creator>Feng, Zhe</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</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>7QL</scope><scope>7SN</scope><scope>7T7</scope><scope>7TV</scope><scope>7U7</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>L.-</scope><scope>M0C</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7N</scope><scope>P64</scope><scope>PATMY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>7X8</scope><scope>7S9</scope><scope>L.6</scope></search><sort><creationdate>20230601</creationdate><title>Analysis and prediction of carbon balance in production-living-ecological space of Henan Province, China</title><author>Li, Xiao ; Wang, Yinghan ; Wu, Kening ; Feng, Zhe</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c403t-4828e0c626ffda947760ff44c1d736ae5597a7fa1980cd2104b347668da3e4d13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Aquatic Pollution</topic><topic>Atmospheric Protection/Air Quality Control/Air Pollution</topic><topic>Carbon</topic><topic>Carbon - 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Academic</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Environmental science and pollution research international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Xiao</au><au>Wang, Yinghan</au><au>Wu, Kening</au><au>Feng, Zhe</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis and prediction of carbon balance in production-living-ecological space of Henan Province, China</atitle><jtitle>Environmental science and pollution research international</jtitle><stitle>Environ Sci Pollut Res</stitle><addtitle>Environ Sci Pollut Res Int</addtitle><date>2023-06-01</date><risdate>2023</risdate><volume>30</volume><issue>30</issue><spage>75973</spage><epage>75988</epage><pages>75973-75988</pages><issn>1614-7499</issn><issn>0944-1344</issn><eissn>1614-7499</eissn><abstract>As the carrier of human economic activities, the change of territorial space affects the level of regional carbon balance. Therefore, with regional carbon balance as the goal, this paper proposed a framework from the perspective of production-living-ecological space and took Henan Province of China as a study area for empirical research. First, the study area established an accounting inventory that considers nature, society, and economic activities to calculate carbon sequestration/emission. Then, the spatiotemporal pattern of carbon balance was analyzed by ArcGIS from 1995 to 2015. Later, the CA-MCE-Markov model was used to simulate the production-living-ecological space pattern in 2035, and carbon balance in three future scenarios was predicted. The study showed that from 1995 to 2015, the living space gradually expanded, and the aggregation rose while the production space decreased. Carbon sequestration (CS) was less than carbon emission (CE) and presented an unbalanced state of negative income in 1995, while CS exceeded CE and showed a positive income imbalance in 2015. In 2035, living space has the highest carbon emission capacity under natural change scenario (NC), while ecological space has the highest carbon sequestration capacity under ecological protection scenario (EP), and production space has the highest carbon sequestration capacity under food security scenario (FS). The results are crucial for understanding the carbon balance changes in territorial space and supporting regional carbon balance goals in the future.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>37227633</pmid><doi>10.1007/s11356-023-27705-8</doi><tpages>16</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Aquatic Pollution Atmospheric Protection/Air Quality Control/Air Pollution Carbon Carbon - analysis Carbon Sequestration China Cities Conservation of Natural Resources Earth and Environmental Science Economic activity Economics Ecosystem Ecotoxicology Emission analysis Emissions Empirical analysis empirical research Environment Environmental Chemistry Environmental Health Environmental science Food security Forecasting Humans Income inventories Markov chains prediction Research Article society Waste Water Technology Water Management Water Pollution Control |
title | Analysis and prediction of carbon balance in production-living-ecological space of Henan Province, China |
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