The Identification and Driving Factor Analysis of Ecological-Economi Spatial Conflict in Nanjing Metropolitan Area Based on Remote Sensing Data

The rapid socio-economic development of the metropolitan area has led to the continuous deterioration of the ecological environment. This leads to intense competition and conflict between different spatial use types. Spatial conflict research is essential to achieve ecological-economic coordination...

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Main Authors: Ji Cao, Weidong Cao, Xianwei Fang, Jinji Ma, Diana Mok, Yisong Xie
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/14/22/5864
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author Ji Cao
Weidong Cao
Xianwei Fang
Jinji Ma
Diana Mok
Yisong Xie
author_facet Ji Cao
Weidong Cao
Xianwei Fang
Jinji Ma
Diana Mok
Yisong Xie
author_sort Ji Cao
collection DOAJ
description The rapid socio-economic development of the metropolitan area has led to the continuous deterioration of the ecological environment. This leads to intense competition and conflict between different spatial use types. Spatial conflict research is essential to achieve ecological-economic coordination and high-quality development. However, existing studies lack comprehensive and direct ecological-economic spatial conflicts, especially those on the spatial-temporal evolution and potential drivers of spatial conflict. In this study, we identified the ecological-economic spatial conflicts in the Nanjing metropolitan area in 2010, 2015, and 2020. This study used the random forest to analyze the factors that influenced the change of spatial conflict. Results show that: (1) From 2010 to 2020, the ecological-economic spatial conflict in the Nanjing metropolitan area changed significantly. (2) Land use change has an important effect on spatial conflicts, which are easily triggered by uncontrolled urban expansion, but ecological land can mitigate spatial conflicts. (3) Relevant driving factors of spatial conflicts show multi-level features, so the development of conflict reconciliation countermeasures needs to be tailored to local conditions. This study provides a significant foundation for the high-quality development of the Nanjing metropolitan area and provides a reference for the planning and management of the territorial space.
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spelling doaj.art-af6dbc0360cb4a5b8cb4ee04744eac032023-11-24T09:51:40ZengMDPI AGRemote Sensing2072-42922022-11-011422586410.3390/rs14225864The Identification and Driving Factor Analysis of Ecological-Economi Spatial Conflict in Nanjing Metropolitan Area Based on Remote Sensing DataJi Cao0Weidong Cao1Xianwei Fang2Jinji Ma3Diana Mok4Yisong Xie5School of Geography and Tourism, Anhui Normal University, Wuhu 241002, ChinaSchool of Geography and Tourism, Anhui Normal University, Wuhu 241002, ChinaSchool of Geography and Tourism, Anhui Normal University, Wuhu 241002, ChinaSchool of Geography and Tourism, Anhui Normal University, Wuhu 241002, ChinaDepartment of Management and Organizational Studies, The University of Western Ontario, London, ON N6A 5C2, CanadaEnvironment Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaThe rapid socio-economic development of the metropolitan area has led to the continuous deterioration of the ecological environment. This leads to intense competition and conflict between different spatial use types. Spatial conflict research is essential to achieve ecological-economic coordination and high-quality development. However, existing studies lack comprehensive and direct ecological-economic spatial conflicts, especially those on the spatial-temporal evolution and potential drivers of spatial conflict. In this study, we identified the ecological-economic spatial conflicts in the Nanjing metropolitan area in 2010, 2015, and 2020. This study used the random forest to analyze the factors that influenced the change of spatial conflict. Results show that: (1) From 2010 to 2020, the ecological-economic spatial conflict in the Nanjing metropolitan area changed significantly. (2) Land use change has an important effect on spatial conflicts, which are easily triggered by uncontrolled urban expansion, but ecological land can mitigate spatial conflicts. (3) Relevant driving factors of spatial conflicts show multi-level features, so the development of conflict reconciliation countermeasures needs to be tailored to local conditions. This study provides a significant foundation for the high-quality development of the Nanjing metropolitan area and provides a reference for the planning and management of the territorial space.https://www.mdpi.com/2072-4292/14/22/5864spatial conflictconflict identificationanalysis of driving factorthe Nanjing metropolitan area
spellingShingle Ji Cao
Weidong Cao
Xianwei Fang
Jinji Ma
Diana Mok
Yisong Xie
The Identification and Driving Factor Analysis of Ecological-Economi Spatial Conflict in Nanjing Metropolitan Area Based on Remote Sensing Data
Remote Sensing
spatial conflict
conflict identification
analysis of driving factor
the Nanjing metropolitan area
title The Identification and Driving Factor Analysis of Ecological-Economi Spatial Conflict in Nanjing Metropolitan Area Based on Remote Sensing Data
title_full The Identification and Driving Factor Analysis of Ecological-Economi Spatial Conflict in Nanjing Metropolitan Area Based on Remote Sensing Data
title_fullStr The Identification and Driving Factor Analysis of Ecological-Economi Spatial Conflict in Nanjing Metropolitan Area Based on Remote Sensing Data
title_full_unstemmed The Identification and Driving Factor Analysis of Ecological-Economi Spatial Conflict in Nanjing Metropolitan Area Based on Remote Sensing Data
title_short The Identification and Driving Factor Analysis of Ecological-Economi Spatial Conflict in Nanjing Metropolitan Area Based on Remote Sensing Data
title_sort identification and driving factor analysis of ecological economi spatial conflict in nanjing metropolitan area based on remote sensing data
topic spatial conflict
conflict identification
analysis of driving factor
the Nanjing metropolitan area
url https://www.mdpi.com/2072-4292/14/22/5864
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