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Luo K, Wang H, Yan X, Ma C, Zheng X, Wu J, Wu C. Study on trade-offs and synergies of rural ecosystem services in the Tacheng-Emin Basin, Xinjiang, China: Implications for zoning management of rural ecological functions. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 363:121411. [PMID: 38861887 DOI: 10.1016/j.jenvman.2024.121411] [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: 08/16/2023] [Revised: 03/03/2024] [Accepted: 06/05/2024] [Indexed: 06/13/2024]
Abstract
Rural areas are the main source of ecosystem services in arid and semi-arid areas, and ecosystem services are the background conditions for rural revitalization. In this study, the spatial pattern of key ecosystem services in the countryside was assessed, and the trade-offs and synergistic relationships among ecosystem services were investigated, using the Tacheng-Emin Basin in China as the study area. Finally, the types of ecological function zoning and development strategies for the countryside are proposed. The results showed that: (1) the area of ecological land was large, and the average land use intensity was 2.48, which belonged to the medium intensity. (2) The mean values of the six ecosystem services are all in the middle and lower classes, and the spatial distribution of the five ecosystem services is similar, except for food production. (3) Except for grain production, the other five ecosystem services showed positive feedback to elevation. The other five ecosystem services are synergistic, and there are trade-offs between grain production and other ecosystem services. In the nonlinear interaction mechanism of ecosystem services, the fluctuation constraint occupies the largest proportion. (4) At smaller spatial scales, there are more types of ecosystem service clusters. Combining the results of the study, the villages in the study area can be categorized into five types. This study formulates five priority levels of rural ecological revitalization and proposes different development recommendations for the sustainable development of each type of village. This study is helpful for the fine management of land resources and the revitalization of rural ecology and provides a reference for the sustainable development of ecosystem services in arid and semi-arid areas.
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Affiliation(s)
- Kui Luo
- College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830017, China; Xinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830017, China
| | - Hongwei Wang
- College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830017, China; Xinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830017, China.
| | - Xiaomei Yan
- College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830017, China; Xinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830017, China
| | - Chen Ma
- School of Geography and Ocean Science, Nanjing University, Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, Nanjing 210023, China
| | - Xudong Zheng
- College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830017, China; Xinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830017, China
| | - Jinhua Wu
- College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830017, China; Xinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830017, China
| | - Changrui Wu
- College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830017, China; Xinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830017, China
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Yan J, Geng J, Su F. Estimation of the Ecosystem Service Value of the Yellow River Delta-Laizhou Bay Coastal Zone Considering Regional Differences and Social Development. ENVIRONMENTAL MANAGEMENT 2024:10.1007/s00267-024-01951-z. [PMID: 38424175 DOI: 10.1007/s00267-024-01951-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 02/19/2024] [Indexed: 03/02/2024]
Abstract
With economic and societal development, the ecological environment of the Yellow River Delta-Laizhou Bay coastal zone has been seriously damaged. Exploring the changes in land use and ecosystem service value (ESV) is essential to ecological construction of the region. The random forest classification method was used for land cover interpretation of the four periods of remote sensing images in the study area from 1990 to 2020. Newly calculated regional difference coefficients and social development coefficients were used to construct a dynamic ESV assessment model and to study its changes from overall and sea‒land gradient perspectives. The results showed that construction land, salt pans, aquaculture ponds, and inland water masses expanded rapidly, while cropland, tidal flats, and shallow waters shrank sharply over the past 30 years. The ESV in the study area has continued to decrease from 34.47 billion yuan in 1990 to 25.23 billion yuan in 2020, a total decrease of 9.23 billion yuan. This is mostly due to the encroachment of construction land, salt pans, and aquaculture ponds, and the flow of ecosystem services from high-value land cover types (tidal flats, herbaceous wetlands, and cropland) to medium- and low-value land cover types. Moreover, the land cover transfer and ESVs exhibited a decreasing trend from sea to land, with significant sea-land gradient differences. Land conversion is most common in the 0-15 km coastal zone, mainly from natural wetlands to artificial wetlands, where the ESV also decreases rapidly. Considering the regional differences and social development in this paper, the ESV of small-scale areas can be reasonably evaluated to explore the characteristics and causes of changes in land use and ESVs, which can provide an important reference for ecological protection and land use management in the region.
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Affiliation(s)
- Jinfeng Yan
- College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, 266590, China.
| | - Jiali Geng
- College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, 266590, China
| | - Fenzhen Su
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
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Shi M, Wu H, Jiang P, Zheng K, Liu Z, Dong T, He P, Fan X. Food-water-land-ecosystem nexus in typical Chinese dryland under different future scenarios. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 880:163183. [PMID: 37030378 DOI: 10.1016/j.scitotenv.2023.163183] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 03/13/2023] [Accepted: 03/27/2023] [Indexed: 05/27/2023]
Abstract
Healthy coupling of the food-water-land-ecosystem (FWLE) nexus is the basis for achieving sustainable development (SD), and FWLE in drylands is frontier scientific issues in the study of coupled human land systems. To comprehensively safeguard the future food, water, and ecological security of drylands, this study examined the implications for FWLE linkages in a typical Chinese dryland from the perspective of future land-use change. First, four different land-use scenarios were proposed using a land-use simulation model with a gray multi-objective algorithm, including an SD scenario. Then, the variation of three ecosystem services was explored: water yield, food production, and habitat quality. Finally, redundancy analysis was used to derive the future drivers of FWLE and explore their causes. The following results were obtained. In the future in Xinjiang, under the business as usual scenario, urbanization will continue, forest area will decrease, and water production will decline by 371 million m3. In contrast, in the SD scenario, this negative impact will be substantially offset, water scarcity will be alleviated, and food production will increase by 1.05 million tons. In terms of drivers, the anthropogenic drivers will moderate the future urbanization of Xinjiang to some extent, with natural drivers dominating the sustainable development scenario by 2030 and a potential 22 % increase in the drivers of precipitation. This study shows how spatial optimization can help protect the sustainability of the FWLE nexus in drylands and simultaneously provides clear policy recommendations for regional development.
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Affiliation(s)
- Mingjie Shi
- College of Resources and Environment, Xinjiang Agricultural University, Urumqi 830052, China; Xinjiang Key Laboratory of Soil and Plant Ecological Processes, Urumqi 830052, China
| | - Hongqi Wu
- College of Resources and Environment, Xinjiang Agricultural University, Urumqi 830052, China; Xinjiang Key Laboratory of Soil and Plant Ecological Processes, Urumqi 830052, China.
| | - Pingan Jiang
- College of Resources and Environment, Xinjiang Agricultural University, Urumqi 830052, China; Xinjiang Key Laboratory of Soil and Plant Ecological Processes, Urumqi 830052, China.
| | - Kai Zheng
- College of Resources and Environment, Xinjiang Agricultural University, Urumqi 830052, China; Xinjiang Key Laboratory of Soil and Plant Ecological Processes, Urumqi 830052, China
| | - Zhuo Liu
- College of Resources and Environment, Xinjiang Agricultural University, Urumqi 830052, China; Xinjiang Key Laboratory of Soil and Plant Ecological Processes, Urumqi 830052, China
| | - Tong Dong
- Key Laboratory of Coastal Science and Integrated Management, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China
| | - Panxing He
- Henan Normal University, Xinxiang 453000, China
| | - Xin Fan
- Center for Turkmenistan Studies, China University of Geosciences, Wuhan 430074, China
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Wang Y, Wang H, Zhang J, Liu G, Fang Z, Wang D. Exploring interactions in water-related ecosystem services nexus in Loess Plateau. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 336:117550. [PMID: 36871449 DOI: 10.1016/j.jenvman.2023.117550] [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: 11/12/2022] [Revised: 01/03/2023] [Accepted: 02/18/2023] [Indexed: 06/18/2023]
Abstract
Scientific understanding of the driving relationship between water-related ecosystem services (WESs) and influencing factors, as well as the trade-off and synergy relationship between WESs and WESs, is the premise of reasonably bringing them into management decisions. However, the existing research often separates the above-mentioned two relationships and conducts independent research, which leads to the conflict of research conclusions and cannot be well adopted by managers. Therefore, based on the panel data of Loess Plateau in 2000-2019, this paper uses the simultaneous equation model to combine the two kinds of relationships existing between WESs and influencing factors, establish a feedback loop, and reveal the interactions mechanism of WESs nexus. The results show that: (1) The fragmentation of land use leads to the uneven spatial-temporal distribution of WESs. (2) Vegetation factors and land factors are the main driving factors that affect WESs, and the impact of climate factors on WESs is decreasing year by year. (3) The increase of water yield ecosystem services will lead to the obvious increase in soil export ecosystem services, and there is a synergistic relationship between soil export ecosystem services and nitrogen export ecosystem services. The conclusion can provide an important reference for implementing the strategy of ecological protection and high-quality development.
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Affiliation(s)
- Yixin Wang
- State Key Laboratory of Hydrology Water Resource and Hydraulic Engineering, Hohai University, Nanjing, 210098, China; Management Science Institute, Hohai University, Nanjing, 210098, China
| | - Huimin Wang
- State Key Laboratory of Hydrology Water Resource and Hydraulic Engineering, Hohai University, Nanjing, 210098, China; Management Science Institute, Hohai University, Nanjing, 210098, China.
| | - Jingxuan Zhang
- State Key Laboratory of Hydrology Water Resource and Hydraulic Engineering, Hohai University, Nanjing, 210098, China; Management Science Institute, Hohai University, Nanjing, 210098, China
| | - Gang Liu
- Laboratory of Computation and Analytics of Complex Management Systems (CACMS), Tianjin University, Tianjin, 300072, China; College of Management and Economics, Tianjin University, Tianjin, 300072, China; State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin, 300072, China.
| | - Zhou Fang
- Management Science Institute, Hohai University, Nanjing, 210098, China
| | - Dandan Wang
- Management Science Institute, Hohai University, Nanjing, 210098, China
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Xiong H, Hu H, Han P, Wang M. Integrating Landscape Ecological Risks and Ecosystem Service Values into the Ecological Security Pattern Identification of Wuhan Urban Agglomeration. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:2792. [PMID: 36833487 PMCID: PMC9956298 DOI: 10.3390/ijerph20042792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 01/29/2023] [Accepted: 02/01/2023] [Indexed: 06/18/2023]
Abstract
Urban agglomerations are the main form of China's future promotion of new urbanization development. Nevertheless, their accelerated expansion and development are increasingly threatening the security of regional ecosystems. The identification and optimization of ecological safety patterns (ESPs) is the fundamental spatial way to guarantee the ecological safety of urban circles and realize the sustainable development of the socio-economic and ecological environment. Nevertheless, from the perspective of urban green, low-carbon, and ecological restoration, regional safety evaluation still lacks a complete framework integrating ecological elements and social and natural indicators. Moreover, the evaluation method of ESPs also has a lack of judgment on the long-term change dynamics of regional landscape ecological risks and ecosystem service values. Thus, we proposed a new regional ecological security evaluation system based on ecosystem service value (ESV) and landscape ecological risk (LER), using the Wuhan urban agglomeration (WUA) as the research object. This study analyzed LER and ESV's spatial and temporal changes over nearly 40 years from 1980 to 2020. LER and LSV were used as ecological elements combined with natural and human-social elements to jointly model the resistance surface of the landscape pattern. Applying the minimum cumulative resistance model (MCR), we identified green ecological corridors, constructed the ESPs of WUA, and proposed optimization measures. Our results show that: (1) The proportion of higher- and high-ecological-risk areas in WUA has decreased from 19.30% to 13.51% over the past 40 years. Over time, a "low-high-low" hierarchical distribution characteristic centered on Wuhan city was gradually formed in the east, south, and north; the total value of ecosystem services increased from CNY1110.998 billion to CNY1160.698 billion. The ESV was higher in the northeastern, southern, and central parts of the area. (2) This study selected 30 ecological source areas with a total area of about 14,374 km2 and constructed and identified 24 ecological corridors and 42 ecological nodes, forming a multi-level ecological network optimization pattern with intertwined points, lines, and surfaces, increasing the connectivity of the ecological network and improving the ecological security level of the study area to a large extent, which is of great significance to promote the ecological priority and green-rise strategy of WUA and the high-quality development path of the green ecological shelter.
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Affiliation(s)
- Haojun Xiong
- College of Horticulture & Forestry Sciences, Huazhong Agricultural University, Wuhan 430070, China
| | - Haozhi Hu
- College of Horticulture & Forestry Sciences, Huazhong Agricultural University, Wuhan 430070, China
| | - Pingyang Han
- College of Horticulture & Forestry Sciences, Huazhong Agricultural University, Wuhan 430070, China
| | - Min Wang
- Key Laboratory of Urban Agriculture in Central China, Ministry of Agriculture and Rural Affairs, Wuhan 430070, China
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