A random forest model for the Guangdong-Hong Kong-Macao Greater Bay Area was constructed,the distribution of coastal wetlands from 1987 to 2020 was extracted year by year.Methods such as environmental Kuznets curve(EKC),principal component analysis,and sensitivity analysis were used to analyze the evolution patterns and driving factors.The results show that natural and constructed coastal wetlands in the Guangdong-Hong Kong-Macao Greater Bay Area exhibit different characteristics,with natural wetland area continuing decreasing and constructed wetland area cyclically increasing and then decreasing.The EKC relationship between coastal wetland area and GDP per unit area exhibits inverted U-shaped curves of"rapid rising-rapid declining"in Guangzhou,Zhuhai,Zhongshan and Jiangmen cities,an inverse N-shaped curve in Shenzhen City,and downward trends in Huizhou and Dongguan cities.Economic and social factors such as population and output value of primary industry are the main driving factors of the coastal wetland in the Guangdong-Hong Kong-Macao Greater Bay Area.Climate factors drive wetland changes through interactions.The sensitivity of different driving factors reflects the characteristics of urban economic structure.
关键词
自然湿地/人工湿地/环境库兹涅茨曲线/经济社会驱动因素/粤港澳大湾区
Key words
natural wetland/constructed wetlands/environmental Kuznets curve/economic and social driving factors/Guangdong-Hong Kong-Macao Greater Bay Area
维普
万方数据