Evaluation of China’s rural resource and environmental carrying capacity based on the ZI–CI–GI framework
Effectively evaluating the carrying capacity of rural resources and the environment, and identifying key factors for its enhancement, are critical for rural sustainability. To meet this objective, a coupling model for rural resource and environmental carrying capacity (RRECC) was constructed using m...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-02-01
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| Series: | Ecological Indicators |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X25001037 |
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| author | Zhiyuan Ma Xuejun Duan Lei Wang Yazhu Wang Wei Yan Haiyue Wang Xiayi Ju |
| author_facet | Zhiyuan Ma Xuejun Duan Lei Wang Yazhu Wang Wei Yan Haiyue Wang Xiayi Ju |
| author_sort | Zhiyuan Ma |
| collection | DOAJ |
| description | Effectively evaluating the carrying capacity of rural resources and the environment, and identifying key factors for its enhancement, are critical for rural sustainability. To meet this objective, a coupling model for rural resource and environmental carrying capacity (RRECC) was constructed using multi-source spatiotemporal data. The model incorporates the zonal division index of resources and environment (ZI), the categorization index of socioeconomic development (CI), and the grading index of population concentration (GI). Spatial autocorrelation and factor contribution analysis were employed to simulate the RRECC of China and identify key factors for enhancing this capacity. The results show that the overall carrying capacity status of China’s rural resources and environment is favorable. Out of 30,055 rural study units, 91.076% are in balance and surplus states, encompassing 90.044% of the population and 66.451% of the land. The carrying capacity exhibits a spatial pattern of higher capacity in the east and south, with significant spatial clustering. The contributions of socioeconomic development and ecological environment protection to carrying capacity are 28.018% and 27.625%, respectively. Therefore, enhancing carrying capacity requires synergistic advancement in both areas. This study advances the evaluation methods for resource and environmental carrying capacity (RECC) in rural areas, providing scientific guidance and support for the realization of the great goal of the Rural Revitalization Strategy. |
| format | Article |
| id | doaj-art-efd52d33918042708d15ba81e0f386df |
| institution | Kabale University |
| issn | 1470-160X |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Indicators |
| spelling | doaj-art-efd52d33918042708d15ba81e0f386df2025-02-04T04:10:21ZengElsevierEcological Indicators1470-160X2025-02-01171113174Evaluation of China’s rural resource and environmental carrying capacity based on the ZI–CI–GI frameworkZhiyuan Ma0Xuejun Duan1Lei Wang2Yazhu Wang3Wei Yan4Haiyue Wang5Xiayi Ju6Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China; Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, ChinaNanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China; Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China; Corresponding authors at: Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China.Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China; Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, ChinaNanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China; Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, ChinaNanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China; Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, ChinaNanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China; Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China; College of Natural Resources and Environment, Northwest Agriculture and Forestry University, Yangling 712100, ChinaNanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China; Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China; School of Surveying and Geoinformation Engineering, East China University of Technology, Nanchang 330032, ChinaEffectively evaluating the carrying capacity of rural resources and the environment, and identifying key factors for its enhancement, are critical for rural sustainability. To meet this objective, a coupling model for rural resource and environmental carrying capacity (RRECC) was constructed using multi-source spatiotemporal data. The model incorporates the zonal division index of resources and environment (ZI), the categorization index of socioeconomic development (CI), and the grading index of population concentration (GI). Spatial autocorrelation and factor contribution analysis were employed to simulate the RRECC of China and identify key factors for enhancing this capacity. The results show that the overall carrying capacity status of China’s rural resources and environment is favorable. Out of 30,055 rural study units, 91.076% are in balance and surplus states, encompassing 90.044% of the population and 66.451% of the land. The carrying capacity exhibits a spatial pattern of higher capacity in the east and south, with significant spatial clustering. The contributions of socioeconomic development and ecological environment protection to carrying capacity are 28.018% and 27.625%, respectively. Therefore, enhancing carrying capacity requires synergistic advancement in both areas. This study advances the evaluation methods for resource and environmental carrying capacity (RECC) in rural areas, providing scientific guidance and support for the realization of the great goal of the Rural Revitalization Strategy.http://www.sciencedirect.com/science/article/pii/S1470160X25001037Resource and environmental carrying capacityComprehensive evaluationZI–CI–GI frameworkSpatial characteristicsRural areas of China |
| spellingShingle | Zhiyuan Ma Xuejun Duan Lei Wang Yazhu Wang Wei Yan Haiyue Wang Xiayi Ju Evaluation of China’s rural resource and environmental carrying capacity based on the ZI–CI–GI framework Ecological Indicators Resource and environmental carrying capacity Comprehensive evaluation ZI–CI–GI framework Spatial characteristics Rural areas of China |
| title | Evaluation of China’s rural resource and environmental carrying capacity based on the ZI–CI–GI framework |
| title_full | Evaluation of China’s rural resource and environmental carrying capacity based on the ZI–CI–GI framework |
| title_fullStr | Evaluation of China’s rural resource and environmental carrying capacity based on the ZI–CI–GI framework |
| title_full_unstemmed | Evaluation of China’s rural resource and environmental carrying capacity based on the ZI–CI–GI framework |
| title_short | Evaluation of China’s rural resource and environmental carrying capacity based on the ZI–CI–GI framework |
| title_sort | evaluation of china s rural resource and environmental carrying capacity based on the zi ci gi framework |
| topic | Resource and environmental carrying capacity Comprehensive evaluation ZI–CI–GI framework Spatial characteristics Rural areas of China |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X25001037 |
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