皖江城市带双核地区ESV时空演变及人为驱动因素识别

doi:10.11870/cjlyzyyhj202208012

长江流域资源与环境 >> 2022, Vol. 31 >> Issue (8): 1776-1786.doi: 10.11870/cjlyzyyhj202208012

•　创刊三十周年纪念专辑　• 上一篇下一篇

皖江城市带双核地区ESV时空演变及人为驱动因素识别

姚志强^1,2，陈实^1,2，胡文海³，张乐勤^1,2，吴琼⁴，章勇^1,5

（1.池州学院地理与规划学院，安徽池州 247000；2.池州学院自然资源遥感应用研究中心，安徽池州 247000；3.池州学院旅游与历史文化学院，安徽池州 247000；4.中国自然资源航空物探遥感中心，北京 100083；5.河海大学地球科学与工程学院，江苏南京 210098）

出版日期:2022-08-20 发布日期:2022-09-16

Temporal and Spatial Evolution of ESV in Dual Core Area of Wanjiang Urban Belt and Identification of Human Driving Factors

YAO Zhi-qiang^1,2,CHEN Shi^1,2,HU Wen-hai³, ZHANG Le-qin^1,2,WU Qiong⁴, ZHANG Yong^1,5

(1.School of Geography and Planning, Chizhou University, Chizhou 247000, China; 2.Application research Center of Remote Sensing for Natural Resources, Chizhou University, Chizhou 247000, China;3.School of Tourism and History Culture, Chizhou University, Chizhou 247000, China; 4.China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing 100083, China; 5. School of Earth Sciences and Engineering, Hohai University, Nanjing 210098, China)

Online:2022-08-20 Published:2022-09-16

摘要/Abstract

摘要： 分析生态系统服务价值（ESV）与人类活动的时空演变关联对于探索承接产业转移区域生态系统可持续发展具有重要意义。基于皖江城市带双核地区2000～2020年3期土地利用数据，采用当量因子法计算ESV，通过贡献度、转移矩阵和空间统计方法进行ESV时空演变分析，应用地理探测器模型探究人类活动强度（HAI）与ESV的时空关联影响。结果表明：（1）ESV呈现持续下降的总体特征，时空变化显著，下降幅度不均匀，2000~2010年减幅小，2010~2020年减幅显著，集中分布快速发展城镇化区域。（2）ESV下降的根本原因是耕地转建设用地，ESV发生增长主要是由于耕地转水域（2000～2010年）和建设用地转耕地（2010~2020年）。（3）因子探测HAIq值呈增加趋势，较好地解释了ESV空间分异现象，且两者呈负相关关系，风险区探测搜索到ESV保持平衡的HAI异常范围。研究结果可为承接产业转移区域全面绿色转型发展、生态系统调控和优化提供科学依据。

Abstract: Analyzing the temporal and spatial evolution relationship between ecosystem service value(ESV) and human activities is of great significance to explore the sustainable development of regional ecosystem of the areas undertaking industrial transfer. Based on the three periods of land use data in the dual core area of Wanjiang urban belt from 2000 to 2020, the equivalent factor method is used to calculate the ESV, and the temporal and spatial evolution of ESV is analyzed through the contribution degree, transfer matrix and spatial statistical methods. The spatiotemporal correlation between human activity intensity(HAI) and ESV is investigated using a geographic detector model. The results show that:(1) ESV shows the overall characteristics of continuous decline, with significant temporal and spatial changes and uneven decline range. The decline range is small from 2000 to 2010 and significant from 2010 to 2020. It is concentrated in areas with rapid urbanization.(2) The fundamental reason for the decline of ESV is the conversion of cultivated land to construction land. The increase of ESV is mainly due to the conversion of cultivated land to water area(2000-2010) and construction land to cultivated land(2010-2020).(3) The factor detection HAI q value showed an increasing trend, which better explained the spatial differentiation of ESV, and the two showed a negative correlation. The risk area detection found the HAI anomaly range in which ESV remained balanced. The research results can provide a scientific basis for the comprehensive green transformation and development, ecosystem regulation and optimization of regions undertaking industrial transfer.

姚志强, 陈实, 胡文海, 张乐勤, 吴琼, 章勇. 皖江城市带双核地区ESV时空演变及人为驱动因素识别[J]. 长江流域资源与环境, 2022, 31(8): 1776-1786.

YAO Zhi-qiang, CHEN Shi, HU Wen-hai, ZHANG Le-qin, WU Qiong, ZHANG Yong. Temporal and Spatial Evolution of ESV in Dual Core Area of Wanjiang Urban Belt and Identification of Human Driving Factors[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2022, 31(8): 1776-1786.

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皖江城市带双核地区ESV时空演变及人为驱动因素识别

Temporal and Spatial Evolution of ESV in Dual Core Area of Wanjiang Urban Belt and Identification of Human Driving Factors

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