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Determining afforestation areas by using social, economic and ecological scales
Global anthropogenic damage is caused when humans aim to improve their welfare by social and economic activities. From this vantage, this paper seeks to determine priority locations for afforestation areas and carbon sinks by using socio-economic and ecological variables. Factor analysis is performe...
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Published in: | Environmental monitoring and assessment 2021-04, Vol.193 (4), p.205, Article 205 |
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description | Global anthropogenic damage is caused when humans aim to improve their welfare by social and economic activities. From this vantage, this paper seeks to determine priority locations for afforestation areas and carbon sinks by using socio-economic and ecological variables. Factor analysis is performed on degraded forest areas (DEGFRST), the ratio of non-forest areas to provincial general area (NFL), average of total monthly rainfall (ATMR), air pollution (PM10), the amount of migration (AMGR), annual average population density (AAPD), gross domestic product by industrial activity (I_GDP), socio-economic development index (SEDI) of provinces, export (EXP) and import (IMP) amount of provinces, average number of cars per one thousand people (ACNPT), and average electricity consumption per person (AECPP) variables for all provinces in Turkey (KMO = 0.802, Bartlett’s
χ
2
= 832.191, and
p
|
doi_str_mv | 10.1007/s10661-021-08936-z |
format | article |
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χ
2
= 832.191, and
p
< 0.0001). Principal component analysis is used as a factor extraction method. Based on the three components obtained (explaining 74.730% of the total variance), the factor scores of 81 provinces were analyzed geostatistically using the Kriging interpolation method. The final map of potential afforestation areas was created using three-factor maps and factor variances, according to weighted overlay analysis. As a result of this study, afforestation priority areas in Turkey were identified based on three components. In subsequent studies, by increasing the number of variables used in this study, strategies for increasing Turkey’s carbon sinks can be planned. Evaluating socio-economic and ecological factors together in afforestation studies can contribute to balancing human impact and conservation through alternative approaches.</description><identifier>ISSN: 0167-6369</identifier><identifier>EISSN: 1573-2959</identifier><identifier>DOI: 10.1007/s10661-021-08936-z</identifier><identifier>PMID: 33751246</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Afforestation ; Air Pollution ; Anthropogenic factors ; Atmospheric Protection/Air Quality Control/Air Pollution ; Carbon ; Carbon Sequestration ; Carbon sinks ; China ; Components ; Conservation ; Earth and Environmental Science ; Ecological effects ; Ecology ; Economic activities ; Economic analysis ; Economic development ; Economics ; Ecotoxicology ; Electricity consumption ; Environment ; Environmental factors ; Environmental Management ; Environmental Monitoring ; Environmental science ; Factor analysis ; Forest degradation ; Forests ; GDP ; Gross Domestic Product ; Human impact ; Human influences ; Humans ; Interpolation ; Kriging interpolation ; Monitoring/Environmental Analysis ; Monthly rainfall ; Particulate matter ; Population density ; Principal components analysis ; Rain ; Rainfall ; Socioeconomic aspects ; Socioeconomics ; Statistical methods ; Turkey</subject><ispartof>Environmental monitoring and assessment, 2021-04, Vol.193 (4), p.205, Article 205</ispartof><rights>The Author(s), under exclusive licence to Springer Nature Switzerland AG 2021</rights><rights>The Author(s), under exclusive licence to Springer Nature Switzerland AG 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c326t-57909ea2d031b8df200db07d03e73fc50f3165944c23a2a7a04bf75d2c6deb923</cites><orcidid>0000-0003-2989-2551</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2503535856/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2503535856?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,776,780,11668,27903,27904,36039,44342,74641</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33751246$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Seda, Erkan Buğday</creatorcontrib><title>Determining afforestation areas by using social, economic and ecological scales</title><title>Environmental monitoring and assessment</title><addtitle>Environ Monit Assess</addtitle><addtitle>Environ Monit Assess</addtitle><description>Global anthropogenic damage is caused when humans aim to improve their welfare by social and economic activities. From this vantage, this paper seeks to determine priority locations for afforestation areas and carbon sinks by using socio-economic and ecological variables. Factor analysis is performed on degraded forest areas (DEGFRST), the ratio of non-forest areas to provincial general area (NFL), average of total monthly rainfall (ATMR), air pollution (PM10), the amount of migration (AMGR), annual average population density (AAPD), gross domestic product by industrial activity (I_GDP), socio-economic development index (SEDI) of provinces, export (EXP) and import (IMP) amount of provinces, average number of cars per one thousand people (ACNPT), and average electricity consumption per person (AECPP) variables for all provinces in Turkey (KMO = 0.802, Bartlett’s
χ
2
= 832.191, and
p
< 0.0001). Principal component analysis is used as a factor extraction method. Based on the three components obtained (explaining 74.730% of the total variance), the factor scores of 81 provinces were analyzed geostatistically using the Kriging interpolation method. The final map of potential afforestation areas was created using three-factor maps and factor variances, according to weighted overlay analysis. As a result of this study, afforestation priority areas in Turkey were identified based on three components. In subsequent studies, by increasing the number of variables used in this study, strategies for increasing Turkey’s carbon sinks can be planned. Evaluating socio-economic and ecological factors together in afforestation studies can contribute to balancing human impact and conservation through alternative approaches.</description><subject>Afforestation</subject><subject>Air Pollution</subject><subject>Anthropogenic factors</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Carbon</subject><subject>Carbon Sequestration</subject><subject>Carbon sinks</subject><subject>China</subject><subject>Components</subject><subject>Conservation</subject><subject>Earth and Environmental Science</subject><subject>Ecological effects</subject><subject>Ecology</subject><subject>Economic activities</subject><subject>Economic analysis</subject><subject>Economic development</subject><subject>Economics</subject><subject>Ecotoxicology</subject><subject>Electricity consumption</subject><subject>Environment</subject><subject>Environmental factors</subject><subject>Environmental Management</subject><subject>Environmental Monitoring</subject><subject>Environmental science</subject><subject>Factor analysis</subject><subject>Forest degradation</subject><subject>Forests</subject><subject>GDP</subject><subject>Gross Domestic Product</subject><subject>Human impact</subject><subject>Human influences</subject><subject>Humans</subject><subject>Interpolation</subject><subject>Kriging interpolation</subject><subject>Monitoring/Environmental Analysis</subject><subject>Monthly rainfall</subject><subject>Particulate matter</subject><subject>Population density</subject><subject>Principal components analysis</subject><subject>Rain</subject><subject>Rainfall</subject><subject>Socioeconomic aspects</subject><subject>Socioeconomics</subject><subject>Statistical 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afforestation areas by using social, economic and ecological scales</title><author>Seda, Erkan Buğday</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c326t-57909ea2d031b8df200db07d03e73fc50f3165944c23a2a7a04bf75d2c6deb923</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Afforestation</topic><topic>Air Pollution</topic><topic>Anthropogenic factors</topic><topic>Atmospheric Protection/Air Quality Control/Air Pollution</topic><topic>Carbon</topic><topic>Carbon Sequestration</topic><topic>Carbon sinks</topic><topic>China</topic><topic>Components</topic><topic>Conservation</topic><topic>Earth and Environmental Science</topic><topic>Ecological effects</topic><topic>Ecology</topic><topic>Economic activities</topic><topic>Economic analysis</topic><topic>Economic development</topic><topic>Economics</topic><topic>Ecotoxicology</topic><topic>Electricity 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Basic</collection><collection>Environment Abstracts</collection><jtitle>Environmental monitoring and assessment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Seda, Erkan Buğday</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Determining afforestation areas by using social, economic and ecological scales</atitle><jtitle>Environmental monitoring and assessment</jtitle><stitle>Environ Monit Assess</stitle><addtitle>Environ Monit Assess</addtitle><date>2021-04-01</date><risdate>2021</risdate><volume>193</volume><issue>4</issue><spage>205</spage><pages>205-</pages><artnum>205</artnum><issn>0167-6369</issn><eissn>1573-2959</eissn><abstract>Global anthropogenic damage is caused when humans aim to improve their welfare by social and economic activities. From this vantage, this paper seeks to determine priority locations for afforestation areas and carbon sinks by using socio-economic and ecological variables. Factor analysis is performed on degraded forest areas (DEGFRST), the ratio of non-forest areas to provincial general area (NFL), average of total monthly rainfall (ATMR), air pollution (PM10), the amount of migration (AMGR), annual average population density (AAPD), gross domestic product by industrial activity (I_GDP), socio-economic development index (SEDI) of provinces, export (EXP) and import (IMP) amount of provinces, average number of cars per one thousand people (ACNPT), and average electricity consumption per person (AECPP) variables for all provinces in Turkey (KMO = 0.802, Bartlett’s
χ
2
= 832.191, and
p
< 0.0001). Principal component analysis is used as a factor extraction method. Based on the three components obtained (explaining 74.730% of the total variance), the factor scores of 81 provinces were analyzed geostatistically using the Kriging interpolation method. The final map of potential afforestation areas was created using three-factor maps and factor variances, according to weighted overlay analysis. As a result of this study, afforestation priority areas in Turkey were identified based on three components. In subsequent studies, by increasing the number of variables used in this study, strategies for increasing Turkey’s carbon sinks can be planned. Evaluating socio-economic and ecological factors together in afforestation studies can contribute to balancing human impact and conservation through alternative approaches.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>33751246</pmid><doi>10.1007/s10661-021-08936-z</doi><orcidid>https://orcid.org/0000-0003-2989-2551</orcidid></addata></record> |
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subjects | Afforestation Air Pollution Anthropogenic factors Atmospheric Protection/Air Quality Control/Air Pollution Carbon Carbon Sequestration Carbon sinks China Components Conservation Earth and Environmental Science Ecological effects Ecology Economic activities Economic analysis Economic development Economics Ecotoxicology Electricity consumption Environment Environmental factors Environmental Management Environmental Monitoring Environmental science Factor analysis Forest degradation Forests GDP Gross Domestic Product Human impact Human influences Humans Interpolation Kriging interpolation Monitoring/Environmental Analysis Monthly rainfall Particulate matter Population density Principal components analysis Rain Rainfall Socioeconomic aspects Socioeconomics Statistical methods Turkey |
title | Determining afforestation areas by using social, economic and ecological scales |
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