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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Bibliographic Details
Published in:Environmental monitoring and assessment 2021-04, Vol.193 (4), p.205, Article 205
Main Author: Seda, Erkan Buğday
Format: Article
Language:English
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
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Summary: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  
ISSN:0167-6369
1573-2959
DOI:10.1007/s10661-021-08936-z