Spatiotemporal evolution of ecosystem service values in an area dominated by vegetation restoration: Quantification and mechanisms

The Grain to Green Program (GTGP) has directly led to large-scale transformational land use/cover changes and has impacted ecosystem services. Therefore, it is of great importance to determine the relationship between the land use change and ecosystem services in retired farmland areas. Based on mul...

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Autores principales:	Xiaojia Han, Jialuo Yu, Lin'na Shi, Xiaocui Zhao, Jijun Wang
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Ecosystem service value Spatial–temporal evolution Spatial differentiation mechanism Benefit transfer method Retired farmland area Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/a5ea8170721348b1b458a10fff5d263d
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id	oai:doaj.org-article:a5ea8170721348b1b458a10fff5d263d
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spelling	oai:doaj.org-article:a5ea8170721348b1b458a10fff5d263d2021-12-01T05:00:28ZSpatiotemporal evolution of ecosystem service values in an area dominated by vegetation restoration: Quantification and mechanisms1470-160X10.1016/j.ecolind.2021.108191https://doaj.org/article/a5ea8170721348b1b458a10fff5d263d2021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21008566https://doaj.org/toc/1470-160XThe Grain to Green Program (GTGP) has directly led to large-scale transformational land use/cover changes and has impacted ecosystem services. Therefore, it is of great importance to determine the relationship between the land use change and ecosystem services in retired farmland areas. Based on multi-temporal land use data (1980, 1990, 1995, 2000, 2005, 2010, 2015, and 2018), the benefit transfer method was used to calculate the ecosystem service value (ESV), and the willingness to pay and ability to pay were then integrated into the evaluation model. In addition, we used the exploratory spatial data analysis method to systematically analyze the change characteristics of the land use and ESV. Finally, the spatial differentiation mechanisms of the ESV were identified using geographical detectors. The results showed that the transformation of the land use mainly occurred in the farmland, forestland, and grassland; the farmland showed a decreasing trend from 1980 to 2018, whereas the areas of the forestland and grassland showed an increasing trend. The ESV demonstrated an increasing trend during 1980–2018 and formed a spatial pattern with the distribution of high and low values. There was a significant positive spatial correlation in the ESV, and this spatial aggregation became increasingly intense with time. The order of different ecosystem services in the study area was as follows: regulating service > supporting service > provisioning service > cultural service, and the ecosystem service values showed an upward trend, except for the provisioning service that showed a downward trend. The spatial differentiation of the ESV is the result of a combined effect of natural factors and socioeconomic factors. With the restoration of vegetation in the retired farmland area, natural factors such as slope and elevation play a crucial role in the differentiation of the ESV.Xiaojia HanJialuo YuLin'na ShiXiaocui ZhaoJijun WangElsevierarticleEcosystem service valueSpatial–temporal evolutionSpatial differentiation mechanismBenefit transfer methodRetired farmland areaEcologyQH540-549.5ENEcological Indicators, Vol 131, Iss , Pp 108191- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Ecosystem service value Spatial–temporal evolution Spatial differentiation mechanism Benefit transfer method Retired farmland area Ecology QH540-549.5
spellingShingle	Ecosystem service value Spatial–temporal evolution Spatial differentiation mechanism Benefit transfer method Retired farmland area Ecology QH540-549.5 Xiaojia Han Jialuo Yu Lin'na Shi Xiaocui Zhao Jijun Wang Spatiotemporal evolution of ecosystem service values in an area dominated by vegetation restoration: Quantification and mechanisms
description	The Grain to Green Program (GTGP) has directly led to large-scale transformational land use/cover changes and has impacted ecosystem services. Therefore, it is of great importance to determine the relationship between the land use change and ecosystem services in retired farmland areas. Based on multi-temporal land use data (1980, 1990, 1995, 2000, 2005, 2010, 2015, and 2018), the benefit transfer method was used to calculate the ecosystem service value (ESV), and the willingness to pay and ability to pay were then integrated into the evaluation model. In addition, we used the exploratory spatial data analysis method to systematically analyze the change characteristics of the land use and ESV. Finally, the spatial differentiation mechanisms of the ESV were identified using geographical detectors. The results showed that the transformation of the land use mainly occurred in the farmland, forestland, and grassland; the farmland showed a decreasing trend from 1980 to 2018, whereas the areas of the forestland and grassland showed an increasing trend. The ESV demonstrated an increasing trend during 1980–2018 and formed a spatial pattern with the distribution of high and low values. There was a significant positive spatial correlation in the ESV, and this spatial aggregation became increasingly intense with time. The order of different ecosystem services in the study area was as follows: regulating service > supporting service > provisioning service > cultural service, and the ecosystem service values showed an upward trend, except for the provisioning service that showed a downward trend. The spatial differentiation of the ESV is the result of a combined effect of natural factors and socioeconomic factors. With the restoration of vegetation in the retired farmland area, natural factors such as slope and elevation play a crucial role in the differentiation of the ESV.
format	article
author	Xiaojia Han Jialuo Yu Lin'na Shi Xiaocui Zhao Jijun Wang
author_facet	Xiaojia Han Jialuo Yu Lin'na Shi Xiaocui Zhao Jijun Wang
author_sort	Xiaojia Han
title	Spatiotemporal evolution of ecosystem service values in an area dominated by vegetation restoration: Quantification and mechanisms
title_short	Spatiotemporal evolution of ecosystem service values in an area dominated by vegetation restoration: Quantification and mechanisms
title_full	Spatiotemporal evolution of ecosystem service values in an area dominated by vegetation restoration: Quantification and mechanisms
title_fullStr	Spatiotemporal evolution of ecosystem service values in an area dominated by vegetation restoration: Quantification and mechanisms
title_full_unstemmed	Spatiotemporal evolution of ecosystem service values in an area dominated by vegetation restoration: Quantification and mechanisms
title_sort	spatiotemporal evolution of ecosystem service values in an area dominated by vegetation restoration: quantification and mechanisms
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/a5ea8170721348b1b458a10fff5d263d
work_keys_str_mv	AT xiaojiahan spatiotemporalevolutionofecosystemservicevaluesinanareadominatedbyvegetationrestorationquantificationandmechanisms AT jialuoyu spatiotemporalevolutionofecosystemservicevaluesinanareadominatedbyvegetationrestorationquantificationandmechanisms AT linnashi spatiotemporalevolutionofecosystemservicevaluesinanareadominatedbyvegetationrestorationquantificationandmechanisms AT xiaocuizhao spatiotemporalevolutionofecosystemservicevaluesinanareadominatedbyvegetationrestorationquantificationandmechanisms AT jijunwang spatiotemporalevolutionofecosystemservicevaluesinanareadominatedbyvegetationrestorationquantificationandmechanisms
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Spatiotemporal evolution of ecosystem service values in an area dominated by vegetation restoration: Quantification and mechanisms

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