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Wang X, Zhao X, Xu Y, Ran Y, Ye X, Zhou Y, Wu B, Chu B. Quantifying the supply-demand relationship of ecosystem services to identify ecological management zoning: A case study in mountainous areas of northwest Yunnan, China. Heliyon 2024; 10:e32006. [PMID: 38867976 PMCID: PMC11168320 DOI: 10.1016/j.heliyon.2024.e32006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 05/25/2024] [Accepted: 05/27/2024] [Indexed: 06/14/2024] Open
Abstract
Establishing ecological management zones based on the supply-demand relationship of ecosystem services (ESs) is essential for fostering sustainable development within social-ecological systems and improving human well-being. In this study, the spatial pattern between supply and demand in five ESs (grain production (GP), carbon sequestration (CS), soil conservation (SC), water conservation (WC), and habitat quality (HQ)) is analyzed using the ESs supply-demand ratio (ESDR) method, the spatial autocorrelation method, and the coupled coordination degree model. Zoning is performed according to the differences in their spatial combinations, and differential zoning management policies are proposed. The following results were obtained: (1) In terms of the ESDR, except for a slight increase in GP surplus from 2010 to 2020, there is a decline in the surplus of the other four ESs. (2) CS, WC, and HQ are dominated by cluster types LH and HL. GP and SC are dominated by cluster types HH and LL. The average value of the coupling coordination degree (CCD) of comprehensive ESs supply and demand show five types: moderate disharmony, slight disharmony, near disharmony, basic coordination, and slight coordination. (3) Based on the multiple spatial heterogeneity of ESs supply and demand, differentiated ecological management strategies are proposed at the grid scale. Overall, this study discover the spatial pattern of mismatch between the supply and demand of ecosystem services (ESs) in mountainous urban areas. This contribution enhances the discourse surrounding sustainable development theory and advances research on the coupling of social-ecological systems. Furthermore, it offers valuable insights for the formulation of sustainable ecological management policies tailored to mountainous urban settings.
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Affiliation(s)
- Xiaobao Wang
- School of Earth Sciences, Yunnan University, Kunming, 650500, China
| | - Xiaoqing Zhao
- School of Earth Sciences, Yunnan University, Kunming, 650500, China
| | - Yifei Xu
- School of Earth Sciences, Yunnan University, Kunming, 650500, China
| | - Yuju Ran
- Institute of International Rivers and Eco-Security, Yunnan University, Kunming, 650500, China
| | - Xianmin Ye
- School of Earth Sciences, Yunnan University, Kunming, 650500, China
| | - Yuqin Zhou
- School of Earth Sciences, Yunnan University, Kunming, 650500, China
| | - Beihao Wu
- Institute of International Rivers and Eco-Security, Yunnan University, Kunming, 650500, China
| | - Bocheng Chu
- Yunnan Fenglan Project Investment Consulting Group Co., Ltd., Kunming, 650500, China
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Zheng H, Xu Z, Hu T, Cheng X, Xia P, Peng J. A wavelet coherence approach to zoning supply-demand matching of carbon sequestration service. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 901:165641. [PMID: 37516193 DOI: 10.1016/j.scitotenv.2023.165641] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Revised: 07/04/2023] [Accepted: 07/16/2023] [Indexed: 07/31/2023]
Abstract
Carbon sequestration (CS) is an important regulating service provided by natural ecosystem which plays an important role in mitigating global climate change. However, there is often spatial mismatch between the carbon sequestration supply and demand (CSSD), which makes it difficult to reduce carbon emissions and increase carbon sinks to achieve local carbon balance. Therefore, it is important to clarify the optimal scale to explore spatial matches and mismatches between CSSD and delimit spatial units for implementing effective carbon-focused management policies. Taking Hunan Province, China as an example, we evaluated CSSD in 2001 and 2017, and identified the optimal scale of spatial matching based on wavelet coherence analysis. The results showed that from 2001 to 2017, CS supply in Hunan Province increased by 6.45 %, while CS demand increased by 261.11 %. 8.40 km was identified as the optimal scale of CSSD spatial matches and mismatches, and Hunan Province could be divided into 3231 spatial units including four types according to the combination of CSSD, i.e. High supply-High demand, Low supply-Low demand, High supply-Low demand and Low supply-High demand. Based on the type changes of spatial units from 2001 to 2017, it was found that the key areas in need of ecological restoration were located in the east side of Xuefeng Mountains and the west side of Luoxiao Mountains, which could support accurate ecosystem monitoring and management under the background of improving the 'one map' of territorial space in Hunan Province. Based on wavelet coherence analysis, this study provided a spatial zoning approach for sustainable land use management, with a special focus on carbon sequestration supply and demand.
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Affiliation(s)
- Huining Zheng
- Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - Zihan Xu
- School of Soil and Water Conservation, Beijing Forestry University, Beijing, 100083, China
| | - Tao Hu
- Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - Xueyan Cheng
- Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - Pei Xia
- Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - Jian Peng
- Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China.
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Liu J, Guo X, Ye Z, Lin Y, Jiang M. The study on the characteristics of carbon pressure agglomeration and the dynamic evolution of heterogeneity in China from a regional perspective. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:94721-94739. [PMID: 37540419 DOI: 10.1007/s11356-023-29026-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 07/24/2023] [Indexed: 08/05/2023]
Abstract
Provinces (cities and districts) with identifiable boundaries are under intense pressure to reduce emissions as a fundamental unit and research object of carbon peaking and carbon-neutrality goals. Due to the significant variability of regional development, achieving equilibrium between carbon emissions and carbon absorption is challenging, contributing to the difficulty of developing carbon emission reduction and relevant green strategic initiatives in China. Therefore, this paper explored the spatial effect of carbon balance with carbon pressure as the starting point. First, this paper defined the "carbon pressure index" (CPI) of 30 provinces (cities and districts) in China from 2000 to 2019. Second, this paper validated the CPI agglomeration evolutionary characteristics in global and local aspects based on the Moran's index. Third, this paper identified and decomposed the spatial heterogeneity of CPI using the kernel density estimation method and the Theil index, then extracted typical cities to analyze the specific causes. Finally, this paper classified the seven regions in China into four types according to a comprehensive analysis of CPI. The results indicated that China's ecological carbon cycle system was in a serious "carbon overload" state. Thirty provinces (cities and districts) showed significant spatial agglomeration characteristics. The spatial gap of CPI was gradually decreasing nationwide, and the intra-regional differences were the leading cause of CPI levels in China. This can provide policy basis for the improvement of China's balanced development system of regional carbon emission reduction.
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Affiliation(s)
- Jinpeng Liu
- School of Economics and Management, North China Electric Power University, No. 2 Beinong Road, Changping District, Beijing, 102206, China
- Beijing Key Laboratory of New Energy and Low-Carbon Development (North China Electric Power University), Beijing, 102206, China
| | - Xia Guo
- School of Economics and Management, North China Electric Power University, No. 2 Beinong Road, Changping District, Beijing, 102206, China.
- Beijing Key Laboratory of New Energy and Low-Carbon Development (North China Electric Power University), Beijing, 102206, China.
| | - Zixin Ye
- School of Economics and Management, North China Electric Power University, No. 2 Beinong Road, Changping District, Beijing, 102206, China
- Beijing Key Laboratory of New Energy and Low-Carbon Development (North China Electric Power University), Beijing, 102206, China
| | - Yingwen Lin
- School of Economics and Management, North China Electric Power University, No. 2 Beinong Road, Changping District, Beijing, 102206, China
- Beijing Key Laboratory of New Energy and Low-Carbon Development (North China Electric Power University), Beijing, 102206, China
| | - Mingyue Jiang
- School of Economics and Management, North China Electric Power University, No. 2 Beinong Road, Changping District, Beijing, 102206, China
- Beijing Key Laboratory of New Energy and Low-Carbon Development (North China Electric Power University), Beijing, 102206, China
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Yan X, Liu C, Han Z, Li X, Zhong J. Spatiotemporal assessment of ecosystem services supply-demand relationships to identify ecological management zoning in coastal city Dalian, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:63464-63478. [PMID: 37052837 PMCID: PMC10098249 DOI: 10.1007/s11356-023-26704-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 03/25/2023] [Indexed: 05/11/2023]
Abstract
Integrating ecosystem services supply-demand relationships into ecological management zoning is a hot topic. Most studies have focused on the matching relationship between the supply and demand of ecosystem services. However, the extent to which both are coordinated at different matching levels is ignored, that is, whether ecosystem services supply and demand tend to reinforce each other at high levels or constrain each other at low levels. Therefore, taking Dalian as an example, this study constructed a research framework for ecological management zoning by integrating the matching and coupling coordination relationship of ecosystem services supply-demand. We found that the supply of ecosystem services in Dalian decreased by 23.70% and the demand increased by 22.54% from 2005 to 2019. There was an obvious mismatch and disharmony in the supply and demand of ecosystem services, and the matching and coordination often did not exist simultaneously. Overlay analysis was used to divide Dalian into four ecological management zones: eco-conservation, eco-development, eco-improvement, and eco-restoration zones. This study helped in integrating the matching and coupling coordination relationship of ecosystem services supply-demand into the environmental management system, which has practical significance for the sustainable development of ecosystem services.
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Affiliation(s)
- Xiaolu Yan
- Key Research Base of Humanities and Social Sciences of the Ministry of Education: Marine Economy and Sustainable Development Research Center of Liaoning Normal University, Dalian, 116029, China
- Liaoning Province "High-Quality Development of Marine Economy" University Collaborative Innovation Center, Dalian, 116029, China
- Institute of Marine Sustainable Development, Liaoning Normal University, Dalian, 116029, China
| | - Chenghao Liu
- School of Economics and Management, Nanchang University, Nanchang, 330031, China.
| | - Zenglin Han
- Key Research Base of Humanities and Social Sciences of the Ministry of Education: Marine Economy and Sustainable Development Research Center of Liaoning Normal University, Dalian, 116029, China
- Liaoning Province "High-Quality Development of Marine Economy" University Collaborative Innovation Center, Dalian, 116029, China
- Institute of Marine Sustainable Development, Liaoning Normal University, Dalian, 116029, China
| | - Xinyuan Li
- Key Research Base of Humanities and Social Sciences of the Ministry of Education: Marine Economy and Sustainable Development Research Center of Liaoning Normal University, Dalian, 116029, China
- Liaoning Province "High-Quality Development of Marine Economy" University Collaborative Innovation Center, Dalian, 116029, China
- Institute of Marine Sustainable Development, Liaoning Normal University, Dalian, 116029, China
| | - Jingqiu Zhong
- Key Research Base of Humanities and Social Sciences of the Ministry of Education: Marine Economy and Sustainable Development Research Center of Liaoning Normal University, Dalian, 116029, China
- Liaoning Province "High-Quality Development of Marine Economy" University Collaborative Innovation Center, Dalian, 116029, China
- Institute of Marine Sustainable Development, Liaoning Normal University, Dalian, 116029, China
- State Key Laboratory of Resources and Environmental Information System, Chinese Academy of Sciences, Beijing, 100101, China
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