Spatiotemporal Changes and Driving Forces of the Ecosystem Service Sustainability in Typical Watertown Region of China from 2000 to 2020

Quantitative assessment of the ability of the ecosystem service (ES) and its driving forces is of great significance for achieving regional SDGs. In view of the scarcity of existing research that evaluates the sustainability of multiple ES types over a long time series at the township scale in a typ...

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Main Authors: Zhenhong Zhu, Chen Xu, Jianwan Ji, Liang Wang, Wanglong Zhang, Litao Wang, Eshetu Shifaw, Weiwei Zhang
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Systems
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Online Access:https://www.mdpi.com/2079-8954/13/5/340
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author Zhenhong Zhu
Chen Xu
Jianwan Ji
Liang Wang
Wanglong Zhang
Litao Wang
Eshetu Shifaw
Weiwei Zhang
author_facet Zhenhong Zhu
Chen Xu
Jianwan Ji
Liang Wang
Wanglong Zhang
Litao Wang
Eshetu Shifaw
Weiwei Zhang
author_sort Zhenhong Zhu
collection DOAJ
description Quantitative assessment of the ability of the ecosystem service (ES) and its driving forces is of great significance for achieving regional SDGs. In view of the scarcity of existing research that evaluates the sustainability of multiple ES types over a long time series at the township scale in a typical Watertown Region, this study aims to address two key scientific questions: (1) what are the spatiotemporal changes in the ecosystem service supply–demand index (ESSDI) and ecosystem service sustainability index (ESSI) of a typical Watertown Region? and (2) what are the key factors driving the changes in ESSI? To answer the above two questions, this study takes the Yangtze River Delta Integrated Demonstration Zone (YRDIDZ) as the study area, utilizing multi-source remote sensing and other spatiotemporal geographical datasets to calculate the supply–demand levels and sustainable development ability of different ES in the YRDIDZ from 2000 to 2020. The main findings were as follows: (1) From 2000 to 2020, the mean ESSDI values for habitat quality, carbon storage, crop production, water yield, and soil retention all showed a declining trend. (2) During the same period, the mean ESSI exhibited a fluctuating downward trend, decreasing from 0.31 in 2000 to 0.17 in 2020, with low-value areas expanding as built-up areas grew, while high-value areas were mainly distributed around Dianshan Lake, Yuandang, and parts of ecological land. (3) The primary driving factors within the YRDIDZ were human activity factors, including POP and GDP, with their five-period average explanatory powers being 0.44 and 0.26, whereas the explanatory power of natural factors was lower. However, the interaction of POP and soil showed higher explanatory power. The results of this study could provide actionable ways for regional sustainable governance: (1) prioritizing wetland protection and soil retention in high-population-density areas based on targeted land use quotas; (2) integrating ESSI coldspots (built-up expansion zones) into ecological redline adjustments, maintaining high green infrastructure coverage in new urban areas; and (3) establishing a population–soil co-management framework in agricultural–urban transition zones.
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spelling doaj-art-2dc409ca328e48cfb9618e8ee2541fd42025-08-20T03:12:05ZengMDPI AGSystems2079-89542025-05-0113534010.3390/systems13050340Spatiotemporal Changes and Driving Forces of the Ecosystem Service Sustainability in Typical Watertown Region of China from 2000 to 2020Zhenhong Zhu0Chen Xu1Jianwan Ji2Liang Wang3Wanglong Zhang4Litao Wang5Eshetu Shifaw6Weiwei Zhang7School of Geography Science and Geomatics Engineering, Suzhou University of Science and Technology, Suzhou 215009, ChinaSchool of Geography Science and Geomatics Engineering, Suzhou University of Science and Technology, Suzhou 215009, ChinaSchool of Geography Science and Geomatics Engineering, Suzhou University of Science and Technology, Suzhou 215009, ChinaSchool of Geography Science and Geomatics Engineering, Suzhou University of Science and Technology, Suzhou 215009, ChinaSchool of Geography Science and Geomatics Engineering, Suzhou University of Science and Technology, Suzhou 215009, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaDepartment of Geography and Environmental Studies, Wollo University, Dessie 1145, EthiopiaSchool of Geography Science and Geomatics Engineering, Suzhou University of Science and Technology, Suzhou 215009, ChinaQuantitative assessment of the ability of the ecosystem service (ES) and its driving forces is of great significance for achieving regional SDGs. In view of the scarcity of existing research that evaluates the sustainability of multiple ES types over a long time series at the township scale in a typical Watertown Region, this study aims to address two key scientific questions: (1) what are the spatiotemporal changes in the ecosystem service supply–demand index (ESSDI) and ecosystem service sustainability index (ESSI) of a typical Watertown Region? and (2) what are the key factors driving the changes in ESSI? To answer the above two questions, this study takes the Yangtze River Delta Integrated Demonstration Zone (YRDIDZ) as the study area, utilizing multi-source remote sensing and other spatiotemporal geographical datasets to calculate the supply–demand levels and sustainable development ability of different ES in the YRDIDZ from 2000 to 2020. The main findings were as follows: (1) From 2000 to 2020, the mean ESSDI values for habitat quality, carbon storage, crop production, water yield, and soil retention all showed a declining trend. (2) During the same period, the mean ESSI exhibited a fluctuating downward trend, decreasing from 0.31 in 2000 to 0.17 in 2020, with low-value areas expanding as built-up areas grew, while high-value areas were mainly distributed around Dianshan Lake, Yuandang, and parts of ecological land. (3) The primary driving factors within the YRDIDZ were human activity factors, including POP and GDP, with their five-period average explanatory powers being 0.44 and 0.26, whereas the explanatory power of natural factors was lower. However, the interaction of POP and soil showed higher explanatory power. The results of this study could provide actionable ways for regional sustainable governance: (1) prioritizing wetland protection and soil retention in high-population-density areas based on targeted land use quotas; (2) integrating ESSI coldspots (built-up expansion zones) into ecological redline adjustments, maintaining high green infrastructure coverage in new urban areas; and (3) establishing a population–soil co-management framework in agricultural–urban transition zones.https://www.mdpi.com/2079-8954/13/5/340ecosystem service sustainabilityYangtze River Delta Integrated Demonstration Zonespatiotemporal evolutiondriving forces
spellingShingle Zhenhong Zhu
Chen Xu
Jianwan Ji
Liang Wang
Wanglong Zhang
Litao Wang
Eshetu Shifaw
Weiwei Zhang
Spatiotemporal Changes and Driving Forces of the Ecosystem Service Sustainability in Typical Watertown Region of China from 2000 to 2020
Systems
ecosystem service sustainability
Yangtze River Delta Integrated Demonstration Zone
spatiotemporal evolution
driving forces
title Spatiotemporal Changes and Driving Forces of the Ecosystem Service Sustainability in Typical Watertown Region of China from 2000 to 2020
title_full Spatiotemporal Changes and Driving Forces of the Ecosystem Service Sustainability in Typical Watertown Region of China from 2000 to 2020
title_fullStr Spatiotemporal Changes and Driving Forces of the Ecosystem Service Sustainability in Typical Watertown Region of China from 2000 to 2020
title_full_unstemmed Spatiotemporal Changes and Driving Forces of the Ecosystem Service Sustainability in Typical Watertown Region of China from 2000 to 2020
title_short Spatiotemporal Changes and Driving Forces of the Ecosystem Service Sustainability in Typical Watertown Region of China from 2000 to 2020
title_sort spatiotemporal changes and driving forces of the ecosystem service sustainability in typical watertown region of china from 2000 to 2020
topic ecosystem service sustainability
Yangtze River Delta Integrated Demonstration Zone
spatiotemporal evolution
driving forces
url https://www.mdpi.com/2079-8954/13/5/340
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