2019
DOI: 10.3390/ijerph16245104
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Spatiotemporal Dynamics of Ecosystem Service Value Determined by Land-Use Changes in the Urbanization of Anhui Province, China

Abstract: Urbanization-induced land-use change will lead to variations in the demand and supply of ecosystem services, thus significantly affecting regional ecosystem services. The continuous degradation of ecosystem functions has become a serious problem for humanity to solve. Therefore, quantitative analysis of the corresponding impact of land-use change on ecosystem service value (ESV) is important to socio-economic development and ecological protection. The Anhui province in China has experienced rapid urbanization … Show more

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Cited by 39 publications
(28 citation statements)
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References 48 publications
(68 reference statements)
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“…With the development of urbanization and the adjustment of industrial structure, the demand for industrial production land will increase rapidly, which provides more employment opportunities for people. A higher quality of life and more employment opportunities will further promote the population agglomeration and the expansion of built-up land in the city [ 28 ], leading to a continuous circular promotion process.…”
Section: Discussionmentioning
confidence: 99%
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“…With the development of urbanization and the adjustment of industrial structure, the demand for industrial production land will increase rapidly, which provides more employment opportunities for people. A higher quality of life and more employment opportunities will further promote the population agglomeration and the expansion of built-up land in the city [ 28 ], leading to a continuous circular promotion process.…”
Section: Discussionmentioning
confidence: 99%
“…The ESV estimation model of Xie et al [ 37 ] aims at a nationwide ecosystem. China has a vast territory, and the differences in environmental resources and socio-economic development of each region are obvious [ 28 ]. Therefore, we revised this model and improved it in accordance with the actual environment of the study area.…”
Section: Discussionmentioning
confidence: 99%
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