Zhang Shan-Shan, Zhang Lei, Chen Ting, Dong Ya-Wen, Zhu Xiao-Dong, Qi Ling-Yan
State Key Laboratory of Pollution Control and Resources Reuse, School of the Environment, Nanjing University, Nanjing 210023, China.
Jiangsu Province Key Laboratory of Environmental Engineering, Jiangsu Provincial Academy of Environmental Science, Nanjing 210036, China.
Ying Yong Sheng Tai Xue Bao. 2021 Jun;32(6):2158-2168. doi: 10.13287/j.1001-9332.202106.015.
The research on spatial pattern and optimization of regional ecological carrying capacity is especially necessary to promote the overall development of economic transformation, upgrading and ecological protection and restoration. This study chose the natural, social and economic complex ecosystem of Jiangsu coastal area as subject. The concept model of pressure-state-potential (PSP) of ecological carrying capacity was established. A total of 15 indices were used to represent the interaction of three level states. With the support of GIS and other space technologies, the magnitude, spatial variation of regional ecological carrying capacity were examined through comprehensive evaluation of multiple indices and analysis of single index. Results showed that the spatial pattern of the suitability of single factor ecological carrying capacity in Jiangsu coastal area showed a variety of trends. There were significant differences in the area, proportion and layout of the same index across different cities and counties. The spatial differentiation of pressure and state superposition index showed that low pressure suitable bearing, low pressure generally suitable bearing, low pressure unsuitable bearing, high pressure suitable bearing, high pressure generally suitable bearing, bearing high pressure unsuitable bearing area was 3971.42, 6885.21, 3705.23, 4597.03, 6853.26, and 6403.97 km, accounting for 12.3%, 21.2%, 11.4%, 14.2%, 21.1% and 19.8% of the total area, respectively. The results of spatial differentiation of superposition index of state and potential showed that the area integral of low potential suitable bearing, low potential general sui-table bearing, low potential unsuitable bearing, high potential suitable bearing, high potential general sui-table bearing and high potential unsuitable bearing was 3030.79, 6545.30, 5874.31, 3253.31, 7614.38, and 6097.83 km, accounting for 9.4%, 20.2%, 18.1%, 10.0%, 23.5% and 18.8% of the total area, respectively. Most areas showed distribution characteristics of low pressure bearing area corresponding to high potential bearing area and high pressure bearing area corresponding to low potential bearing area in spatial pattern. There was an interaction of mutual influence, mutual promotion and collaborative promotion between pressure and state superposition index and state and potential superposition index.
开展区域生态承载力的空间格局及优化研究，对于推动经济转型、升级与生态保护修复的全面发展尤为必要。本研究选取江苏沿海地区自然、社会与经济复合生态系统为研究对象，构建了生态承载力压力-状态-潜力（PSP）概念模型，运用15项指标表征三个层级状态的相互作用。借助地理信息系统（GIS）等空间技术，通过多指标综合评价与单指标分析，考察区域生态承载力的大小及空间分异。结果表明，江苏沿海地区单因素生态承载力适宜性空间格局呈多种态势，同一指标在不同市县的面积、占比及布局差异显著。压力与状态叠加指数空间分异显示，低压力适宜承载、低压力一般适宜承载、低压力不适宜承载、高压力适宜承载、高压力一般适宜承载、高压力不适宜承载面积分别为3971.42、6885.21、3705.23、4597.03、6853.26和6403.97平方千米，分别占总面积的12.3%、21.2%、11.4%、14.2%、21.1%和19.8%。状态与潜力叠加指数空间分异结果表明，低潜力适宜承载、低潜力一般适宜承载、低潜力不适宜承载、高潜力适宜承载、高潜力一般适宜承载、高潜力不适宜承载面积积分分别为3030.79、6545.30、5874.31、3253.31、7614.38和6097.83平方千米，分别占总面积的9.4%、20.2%、18.1%、10.0%、23.5%和18.8%。多数区域在空间格局上呈现低压力承载区对应高潜力承载区、高压力承载区对应低潜力承载区的分布特征，压力与状态叠加指数和状态与潜力叠加指数之间存在相互影响、相互促进、协同推进的交互作用。
