Tracking economic-driven coastal wetland change along the East China Sea
Tracking economic-driven coastal wetland change along the East China Sea
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DOI：
10.1016/j.apgeog.2023.102995
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发表时间：
2023-05-20
影响因子：
4.9
通讯作者：
Fan, Huifang
中科院分区：
文献类型：
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作者：
Ai, Shunyi;Hu, Yuekai;Fan, Huifang
滨海湿地具有多种生态功能，但受到土地开垦和城市化的威胁，导致湿地退化和丧失。理解湿地变化趋势和驱动因素是具有挑战性的。在这里，我们使用环境库兹涅茨曲线(EKC)来分析由谷歌地球引擎(GEE)分类的滨海湿地与东中国海社会经济指标之间的关系。采用结构方程模型(SEM)对驱动因素进行分析。研究发现：(1)湿地的变化依赖于地貌单元和社会经济发展；(2)1985年至2020年湿地面积变化具有典型的EKC格局，可分为三个阶段；(3)经济发展和城市化是湿地变化的主要原因，自然湿地面积、人均GDP和不透水面积之间存在较强的相关性，而与养殖面积的相关性较小。
Coastal wetlands provide various ecological functions but are threatened by land reclamation and urbanization, which cause wetland degradation and loss. Understanding wetland transition trends and driving factors is challenging. Here, we used the Environmental Kuznets curve (EKC) to analyze the relationship between coastal wetlands, as classified by the Google Earth Engine (GEE), and socio-economic indicators along the East China Sea. Structural equation modeling (SEM) was used to explore the driving factors. We found that the (1) wetland transition depended on geomorphic units and socio-economic development; (2) wetland area changes from 1985 to 2020 had a typical EKC pattern and can be divided into three periods due to policy changes; and (3) economic development and urbanization were the primary reasons for wetland changes, with a strong correlation between natural wetland area, GDP per capita, and impervious surface, but a lower correlation with aquacultural area.