Evaluation of water-carbon-ecological footprints and its spatial–temporal pattern in the central plains urban agglomeration
Maintaining the stability of natural capital stock is an important basis for realizing regional sustainable development goals. Based on the improved three-dimensional (3D) footprint family model, this study analyzes the spatial and temporal evolution of the natural capital utilization of water-carbo...
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| Format: | Article |
| Language: | English |
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Elsevier
2023-11-01
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| Series: | Ecological Indicators |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X2301124X |
| _version_ | 1827788705048297472 |
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| author | Kexin Jin Sen Zhang Yalin Yang Xiangjun Chen Su Wang Tao Li Yangyang Wang |
| author_facet | Kexin Jin Sen Zhang Yalin Yang Xiangjun Chen Su Wang Tao Li Yangyang Wang |
| author_sort | Kexin Jin |
| collection | DOAJ |
| description | Maintaining the stability of natural capital stock is an important basis for realizing regional sustainable development goals. Based on the improved three-dimensional (3D) footprint family model, this study analyzes the spatial and temporal evolution of the natural capital utilization of water-carbon-ecological footprints in the Central Plains Urban Agglomeration (CPUA) from 2010 to 2020. It considers water resources, carbon emissions and ecological environment comprehensively, and establishes an evaluation system to assess the regional resource and environmental pressure. The results showed that: (1) During the period of 2010–2020, each component of the per capita water-carbon-ecological footprint of the CPUA were in deficit. Footprint depths were all greater than 1 and in a state of depleting capital stock. The water footprint depth (WFdepth) showed a large fluctuation between 1.721 and 4.302, the carbon footprint depth (CFdepth) increased from 6.025 to 7.440, and the ecological footprint depth (EFdepth) fluctuated between 4.801 and 5.779. (2) There were spatial differences in the depth of each type of footprint, with the WFdepth showing a south-high and north-low distribution, the CFdepth showing a northwest-high and southeast-low distribution, and the EFdepth showing an east-high and west-low distribution. (3) Exploratory spatial data analysis (ESDA) showed that there were spatial correlations between the various types of footprint size and footprint depth in the CPUA, and that cities showed local spatial characteristics of High-High cluster and Low-Low cluster. (4) All types of resource and environmental pressure measured were at high levels (>0.8), and the resource-environment pressure index (REPI) in the northwest showed a gradual increasing trend. |
| first_indexed | 2024-03-11T17:09:22Z |
| format | Article |
| id | doaj.art-6feb763d4d654787b5c66b7566323225 |
| institution | Directory Open Access Journal |
| issn | 1470-160X |
| language | English |
| last_indexed | 2024-03-11T17:09:22Z |
| publishDate | 2023-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Indicators |
| spelling | doaj.art-6feb763d4d654787b5c66b75663232252023-10-20T06:38:36ZengElsevierEcological Indicators1470-160X2023-11-01155110982Evaluation of water-carbon-ecological footprints and its spatial–temporal pattern in the central plains urban agglomerationKexin Jin0Sen Zhang1Yalin Yang2Xiangjun Chen3Su Wang4Tao Li5Yangyang Wang6College of Geography and Environmental Science, Henan University, Kaifeng 475004, ChinaCollege of Geography and Environmental Science, Henan University, Kaifeng 475004, ChinaCollege of Geography and Environmental Science, Henan University, Kaifeng 475004, ChinaCollege of Geography and Environmental Science, Henan University, Kaifeng 475004, ChinaCollege of Geography and Environmental Science, Henan University, Kaifeng 475004, ChinaCollege of Geography and Environmental Science, Henan University, Kaifeng 475004, China; Henan Dabieshan National Field Observation and Research Station of Forest Ecosystem, Zhengzhou 450046, China; Xinyang Academy of Ecological Research, Xinyang 464000, China; Research Center of Regional Development and Planning, Henan University, Kaifeng 475004, China; Henan Engineering Research Center for Control & Remediation of Soil Heavy Metal Pollution, Henan University, Kaifeng 475004, China; Corresponding authors at: College of Geography and Environmental Science, Henan University, Kaifeng 475004, China.College of Geography and Environmental Science, Henan University, Kaifeng 475004, China; Henan Dabieshan National Field Observation and Research Station of Forest Ecosystem, Zhengzhou 450046, China; Xinyang Academy of Ecological Research, Xinyang 464000, China; Research Center of Regional Development and Planning, Henan University, Kaifeng 475004, China; Henan Engineering Research Center for Control & Remediation of Soil Heavy Metal Pollution, Henan University, Kaifeng 475004, China; Corresponding authors at: College of Geography and Environmental Science, Henan University, Kaifeng 475004, China.Maintaining the stability of natural capital stock is an important basis for realizing regional sustainable development goals. Based on the improved three-dimensional (3D) footprint family model, this study analyzes the spatial and temporal evolution of the natural capital utilization of water-carbon-ecological footprints in the Central Plains Urban Agglomeration (CPUA) from 2010 to 2020. It considers water resources, carbon emissions and ecological environment comprehensively, and establishes an evaluation system to assess the regional resource and environmental pressure. The results showed that: (1) During the period of 2010–2020, each component of the per capita water-carbon-ecological footprint of the CPUA were in deficit. Footprint depths were all greater than 1 and in a state of depleting capital stock. The water footprint depth (WFdepth) showed a large fluctuation between 1.721 and 4.302, the carbon footprint depth (CFdepth) increased from 6.025 to 7.440, and the ecological footprint depth (EFdepth) fluctuated between 4.801 and 5.779. (2) There were spatial differences in the depth of each type of footprint, with the WFdepth showing a south-high and north-low distribution, the CFdepth showing a northwest-high and southeast-low distribution, and the EFdepth showing an east-high and west-low distribution. (3) Exploratory spatial data analysis (ESDA) showed that there were spatial correlations between the various types of footprint size and footprint depth in the CPUA, and that cities showed local spatial characteristics of High-High cluster and Low-Low cluster. (4) All types of resource and environmental pressure measured were at high levels (>0.8), and the resource-environment pressure index (REPI) in the northwest showed a gradual increasing trend.http://www.sciencedirect.com/science/article/pii/S1470160X2301124XFootprint familyFootprint sizeFootprint depthSpatial-temporal patternResource-environment pressure |
| spellingShingle | Kexin Jin Sen Zhang Yalin Yang Xiangjun Chen Su Wang Tao Li Yangyang Wang Evaluation of water-carbon-ecological footprints and its spatial–temporal pattern in the central plains urban agglomeration Ecological Indicators Footprint family Footprint size Footprint depth Spatial-temporal pattern Resource-environment pressure |
| title | Evaluation of water-carbon-ecological footprints and its spatial–temporal pattern in the central plains urban agglomeration |
| title_full | Evaluation of water-carbon-ecological footprints and its spatial–temporal pattern in the central plains urban agglomeration |
| title_fullStr | Evaluation of water-carbon-ecological footprints and its spatial–temporal pattern in the central plains urban agglomeration |
| title_full_unstemmed | Evaluation of water-carbon-ecological footprints and its spatial–temporal pattern in the central plains urban agglomeration |
| title_short | Evaluation of water-carbon-ecological footprints and its spatial–temporal pattern in the central plains urban agglomeration |
| title_sort | evaluation of water carbon ecological footprints and its spatial temporal pattern in the central plains urban agglomeration |
| topic | Footprint family Footprint size Footprint depth Spatial-temporal pattern Resource-environment pressure |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X2301124X |
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