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江苏省生态系统服务价值时空分异及影响因素研究

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在生态文明建设背景下,开展生态系统服务价值(ESV)时空分异及影响因素研究可为区域环境保护和生态修复提供依据.本文采用当量因子法、地理探测器和地理加权回归模型,分析了2000-2020年江苏省县域ESV时空分异特征、影响因素及各影响因子作用强度的空间分异特征.结果表明:①2000-2020年江苏省ESV整体呈现上升趋势,20年间增加84.25亿元;空间上表现为低值区和中低值区以集中连片的形式分布在全省范围内,中高值区和高值区主要分布在水域区域,中值区则呈零星分布态势.②经济社会因素对ESV的解释作用高于自然因素.其中人口密度、土地垦殖率和ESV之间存在全局负相关,人均耕地面积、城乡居民人均收入和ESV之间存在全局正相关,作用强度由南向北逐渐减弱.未来,加强湿地与农田保护,优化产业结构,完善城市绿地设施是提高ESV的可行措施.
Spatial and temporal differentiation of ecosystem service value and its influencing factors in Jiangsu
In the context of building ecological civilization,the study on the spatio-temporal differentiation of ecosystem service value(ESV)and its influencing factors can provide a basis for regional environmental protection and ecological restoration.Using the equivalent factor method,geographic detectors,and geographic weighted regression models,the spatio-temporal differentiation characteristics,influencing factors,and the spatial differentiation characteristics of the action intensity of each influencing factor of county level ESV in Jiangsu from 2000 to 2020 are analyzed.The results show that:(1)The overall ESV of Jiangsu showed an upward trend from 2000 to 2020,with an increase of 8.425 billion yuan over the past 20 years.In terms of space,the low value area and the medium-low value area were distributed in a concentrated and contiguous manner throughout the province,with the medium-high value area and the high value area mainly distributed in water area,while the median area showed a sporadic distribution trend.(2)The explanatory effect of socio-economic factors on ESV was higher than that of natural factors.There was a global negative correlation between population density,land reclamation rate,and ESV,while there was a global positive correlation between per capita arable land area,per capita income of urban and rural residents,and ESV.The intensity of the effect gradually weakened from south to north.In the future,strengthening wetland and farmland protection,optimizing industrial structure,and improving urban green space facilities are feasible measures to improve ESV.

ecosystem service valueinfluencing factorgeographic detectorgeographically weighted regressionspatio-temporal differentiation

程珂怡、郭传旭、张婷、渠立权

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江苏师范大学地理测绘与城乡规划学院,江苏 徐州 221116

徐州市自然资源和规划局,江苏 徐州 221018

生态系统服务价值 影响因素 地理探测器 地理加权回归 时空分异

江苏省研究生科研与实践创新计划江苏省大学生创新创业训练计划

2021XKT01012021110320064Y

2024

自然资源情报
国土资源部信息中心

自然资源情报

影响因子:0.434
ISSN:2097-101X
年,卷(期):2024.(1)
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