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Zeng W, He Z, Bai W, He L, Chen X, Chen J. Identification of ecological security patterns of alpine wetland grasslands based on landscape ecological risks: A study in Zoigê County. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 928:172302. [PMID: 38593879 DOI: 10.1016/j.scitotenv.2024.172302] [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: 01/21/2024] [Revised: 04/03/2024] [Accepted: 04/05/2024] [Indexed: 04/11/2024]
Abstract
Climate change and human activities have increased ecological risks and degraded ecosystem functions in alpine wetland grassland regions, where ecological security remains largely unexplored. The construction of ecological security patterns (ESP) can help to synchronize regional ecological security and sustainable development and provide ideas to address these challenges. This article determines the current ESP of Zoigê County, China, by analyzing the spatial and temporal characteristics of landscape ecological risk (LER) and generating an ecological network by combining the InVEST model, the landscape connectivity index, and the circuit theory model. Management zoning and targeted conservation recommendations are proposed. The results indicate that the region has significant spatial heterogeneity in IER. Ecological risk exposure is increasing, with high values mainly concentrated in the central part of the region. Meanwhile, ecological protection areas were identified, which included 2578.44 km2 of ecological sources, 71 key ecological corridors, 25 potential ecological corridors, 4 river ecological corridors, 66 pinch points, and 58 barriers. This study provides a valuable reference for the ecological development of Zoigê County, as well as insights into the formation of ESP in other alpine wetland grassland regions.
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Affiliation(s)
- Wanting Zeng
- State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China; College of Geography and Planning, Chengdu University of Technology, Chengdu 610059, China
| | - Zhengwei He
- State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China; College of Geography and Planning, Chengdu University of Technology, Chengdu 610059, China.
| | - Wenqian Bai
- State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China; College of Geography and Planning, Chengdu University of Technology, Chengdu 610059, China
| | - Li He
- State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China; College of Geography and Planning, Chengdu University of Technology, Chengdu 610059, China
| | - Xin Chen
- State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China; College of Geography and Planning, Chengdu University of Technology, Chengdu 610059, China
| | - Jiahao Chen
- Sichuan Provincial Chuanjian Investigation and Design Institute, Chengdu 610017, China
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Liu F, Liu J, Zhang Y, Hong S, Fu W, Wang M, Dong J. Construction of a cold island network for the urban heat island effect mitigation. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 915:169950. [PMID: 38199340 DOI: 10.1016/j.scitotenv.2024.169950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Revised: 12/19/2023] [Accepted: 01/03/2024] [Indexed: 01/12/2024]
Abstract
The urban heat island (UHI) effect seriously challenges sustainable urban development strategies and livability. Numerous studies have explored the UHI problem from the perspective of isolated blue and green patches, ignoring the overall function of cold island networks. This study aims to explore the construction method of cold island network by integrating scattered cold island resources, rationally guiding urban planning and construction, and providing effective ideas and methods for improving the urban thermal environment. Taking the central city of Fuzhou as an example, the identification of the cold island core source (CICS) was optimized by applying relative land surface temperature (LST), morphological spatial pattern analysis, and landscape connectivity analysis. The combined resistance surface was constructed based on a spatial principal component analysis. Subsequently, the cold island network was constructed by applying circuit theory and identifying the key nodes. The results showed that the central and eastern parts of the study area experienced the most significant UHI effects and there was a tendency for them to cluster. Overall, 48 core sources, 104 corridors, 89 cooling nodes, and 34 heating nodes were identified. The average LST of the CICSs was 28.43 °C, significantly lower than the average LST of the entire study area (31.50 °C), and the 104 cold corridors were classified into three categories according to their importance. Different targeting measures should be adopted for the cooling and heating nodes to maintain the stability of the cold island network and prevent the formation of a heat network. Finally, we suggest a model for urban cold island network construction and explore methods for mitigating issues with UHI to achieve proactive and organized adaptation and mitigation of thermal environmental risks in urban areas, as well as to encourage sustainable urban development.
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Affiliation(s)
- Fan Liu
- College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou 350100, China; Engineering Research Center for Forest Park of National Forestry and Grassland Administration, Fuzhou 350002, China
| | - Jing Liu
- College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou 350100, China; Engineering Research Center for Forest Park of National Forestry and Grassland Administration, Fuzhou 350002, China
| | - Yanqin Zhang
- College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou 350100, China; Engineering Research Center for Forest Park of National Forestry and Grassland Administration, Fuzhou 350002, China
| | - Shaoping Hong
- School of Architecture and Urban-Rural Planning, Fuzhou University, Fuzhou 350108, China
| | - Weicong Fu
- College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou 350100, China; Engineering Research Center for Forest Park of National Forestry and Grassland Administration, Fuzhou 350002, China
| | - Minhua Wang
- College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou 350100, China; Engineering Research Center for Forest Park of National Forestry and Grassland Administration, Fuzhou 350002, China
| | - Jianwen Dong
- College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou 350100, China; Engineering Research Center for Forest Park of National Forestry and Grassland Administration, Fuzhou 350002, China.
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Li J, Chen X, De Maeyer P, Van de Voorde T, Li Y. Ecological security warning in Central Asia: Integrating ecosystem services protection under SSPs-RCPs scenarios. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:168698. [PMID: 38040380 DOI: 10.1016/j.scitotenv.2023.168698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 11/15/2023] [Accepted: 11/17/2023] [Indexed: 12/03/2023]
Abstract
Ecological security patterns (ESPs) are designed to enhance ecosystem structure and functionality while preserving vital ecosystem services (ESs). This study not only integrated the ES trade-offs related to ecological security warning, but also considered the effects of future climate changes and human activities on ESPs. By combining the revised universal soil loss equation (RUSLE), the revised wind erosion equation (RWEQ), the dry sedimentation (DS) model, the recreation opportunity map (ROM) and the integrated valuation of ESs and trade-offs (InVEST) model, this study projected provisioning services, regulation services and cultural services in Central Asia (CA) for historical periods (1995-2014) and future scenarios (2021-2099). An ecological security early-warning (source - corridor - barriers) framework was constructed based on the protection of ESs under the SSP126, SSP245 and SSP585 scenarios. The ordered weighted averaging method (OWA) was applied to this framework to identify ecological sources. The Minimum cumulative resistance model (MCR) and circuit theory were used to construct ecological corridors and barriers. Our results revealed that ES hotspot areas will decrease by 11.75 % to 16.42 % in CA under the SSP126, SSP245, and SSP585 scenarios. Under the ecological warning framework, the ecological source warning area will reach 792 km2-1942 km2 and 6591 km2-17,465 km2 under the SSP126 and SSP585 scenarios, respectively. In particular, in the 2050s under the SSP245 scenario, the number of key ecological corridor warnings will exceed 50 % of the total number of corridors. We found that ecological barrier warnings will mainly be distributed in desert areas with low vegetation coverage in southwestern CA. Building upon the reorganization of ESs within the ESP framework, we propose an ecological early warning strategy referred to as "one axis, two belts, two cores, and three zones". This novel approach aims to enhance our ability to predict and respond to ecological threats and challenges.
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Affiliation(s)
- Jiangyue Li
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; University of Chinese Academy of Sciences, Beijing 100049, China; Research Center for Ecology and Environment of Central Asia, Chinese Academy of Sciences, Urumqi 830011, China; Department of Geography, Ghent University, Ghent 9000, Belgium; Sino-Belgian Joint Laboratory of Geo-information, Urumqi 830011, China; Sino-Belgian Joint Laboratory of Geo-information, Ghent 9000, Belgium
| | - Xi Chen
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; University of Chinese Academy of Sciences, Beijing 100049, China; Research Center for Ecology and Environment of Central Asia, Chinese Academy of Sciences, Urumqi 830011, China; Sino-Belgian Joint Laboratory of Geo-information, Urumqi 830011, China
| | - Philippe De Maeyer
- Department of Geography, Ghent University, Ghent 9000, Belgium; Sino-Belgian Joint Laboratory of Geo-information, Urumqi 830011, China; Sino-Belgian Joint Laboratory of Geo-information, Ghent 9000, Belgium
| | - Tim Van de Voorde
- Department of Geography, Ghent University, Ghent 9000, Belgium; Sino-Belgian Joint Laboratory of Geo-information, Urumqi 830011, China; Sino-Belgian Joint Laboratory of Geo-information, Ghent 9000, Belgium
| | - Yaoming Li
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; University of Chinese Academy of Sciences, Beijing 100049, China; Research Center for Ecology and Environment of Central Asia, Chinese Academy of Sciences, Urumqi 830011, China.
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Men D, Pan J. Incorporating network topology and ecosystem services into the optimization of ecological network: A case study of the Yellow River Basin. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:169004. [PMID: 38040351 DOI: 10.1016/j.scitotenv.2023.169004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 11/28/2023] [Accepted: 11/28/2023] [Indexed: 12/03/2023]
Abstract
Human activity-induced landscape fragmentation seriously affects regional connectivity and biodiversity and hinders human well-being and sustainable development. These effects can be mitigated by the construction of ecological networks (ENs), but building extensive ENs requires cross-regional planning and coordination. Since ecosystems in different regions provide varying benefits to humans, optimizing ENs based on the quality of ecosystem services (ESs) is an effective way to rapidly improve regional landscape connectivity. In this study, we constructed an EN in the Yellow River Basin (YRB) according to landscape ecology and complex network theory, examined the network topology, measured three ESs using the InVEST model, and optimized the EN based on the coupling of EN topology and ES quality. In the YRB, the biodiversity index and carbon storage capacity were relatively higher and invariable. However, the wind-breaking and sand-fixing index was poorer, but it increased by 146 % during the study period. The number of ecological patches was roughly 48, accounting for about 40 % of the YRB region. From 1995 to 2020, the average ecological resistance decreased by 29 %, and the average number of corridors was 99, but the average corridor length first increased and then decreased. The number and area of ecological pinch points and barriers changed significantly. The EN topology strongly correlated with biodiversity and wind-breaking and sand-fixing, but not with carbon storage. In the face of random attacks, the optimized EN demonstrated significantly greater connectivity robustness. Under deliberate attacks, it exhibited better resilience and buffering power when the percentage of attacking nodes is in the 30 %-80 % range. For the ecological patches within a certain range of the attacking node, appropriate development and planning can be carried out in the future, while for the patches outside the range, strict ecological protection measures need to be implemented. This study provides theoretical references for improving EN planning efficiency and promoting synergistic cooperation in the YRB.
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Affiliation(s)
- Dan Men
- College of Geography and Environmental Science, Northwest Normal University, No.967 Anning East Road, Lanzhou, Gansu Province, PR China.
| | - Jinghu Pan
- College of Geography and Environmental Science, Northwest Normal University, No.967 Anning East Road, Lanzhou, Gansu Province, PR China.
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Xu C, Yu Q, Wang F, Qiu S, Ai M, Zhao J. Identifying and optimizing ecological spatial patterns based on the bird distribution in the Yellow River Basin, China. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 348:119293. [PMID: 37827082 DOI: 10.1016/j.jenvman.2023.119293] [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: 04/27/2023] [Revised: 10/02/2023] [Accepted: 10/06/2023] [Indexed: 10/14/2023]
Abstract
In the Yellow River Basin (YRB), there exists a rich biodiversity of species that has been shaped by its unique geography, climate, and human activities. However, the high speed of economic development has resulted in the fragmentation and loss of habitats that are crucial for the survival of these species. To address this problem, constructing ecological networks has emerged as a promising approach for biodiversity preservation. In the study, we centered on the YRB and employed bird communities as an indicator species to identify ecological sources by combining bioclimatic variables and land use data with the Maximum Entropy (MaxEnt) and Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) models. We generated a resistance surface using various data such as Digital Elevation Model (DEM), the Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), nighttime light, road density, railway density, and waterway density. So, we then simulated ecological corridors applying the Minimum Cumulative Resistance (MCR) model and constructed a bird diversity protection network. The results we found suggested that bird hotspots were predominantly clustered upstream and downstream in the YRB. We identified 475 sources covering a total area of 65,088 km2, 681 corridors with a total length of 11,495.05 km. This network served as a critical ecological facility to sustain and protect biodiversity. The bird ecological corridors in the YRB showed that a dense east-west pattern in the central area, with a short length in the west and east and a long length in the central area. Although the central region lacked ecological sources, the east and west were still connected as a tight whole. Two scenarios showed adding ecological stepping stones had a better optimization effect than enhancing ecological connectivity.
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Affiliation(s)
- Chenglong Xu
- College of Forestry, Beijing Forestry University, Beijing, 100083, China.
| | - Qiang Yu
- College of Forestry, Beijing Forestry University, Beijing, 100083, China.
| | - Fei Wang
- College of Forestry, Beijing Forestry University, Beijing, 100083, China
| | - Shi Qiu
- College of Forestry, Beijing Forestry University, Beijing, 100083, China
| | - Mingsi Ai
- College of Forestry, Beijing Forestry University, Beijing, 100083, China
| | - Jikai Zhao
- College of Forestry, Beijing Forestry University, Beijing, 100083, China
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Wu W, Zhao S, Guo J, Ou M, Ding G. Construction and optimization of ecological security pattern based on the circuit theory: a case study of Hohhot City. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:89597-89615. [PMID: 37454379 DOI: 10.1007/s11356-023-28668-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Accepted: 07/03/2023] [Indexed: 07/18/2023]
Abstract
The construction of ecological security pattern aims to determine the bottom line of ecological land supply and effective spatial distribution and provides a scientific basis for ensuring regional ecological security. The basic paradigm of "source recognition-resistance surface creation-corridor identification-key areas determination" was used to construct the ecological security pattern of Hohhot City in 2009 and 2019. The circuit theory was employed to determine the demand for protection and restoration of crucial ecological area and to divide the core ecological protection and restoration area, the core restoration area, the core protection area, and the general ecological protection area; then, the optimization of Hohhot's ecological security pattern could be proposed. The results show that there was no interconnected and closed ecological network in 2009 and 2019 in the study area, and the area of significant ecological elements were decreasing: ecological source areas decreased from 266.97 to 261.21 km2, the number of ecological corridors decreased from 10 to 6, and the total area of ecological protection and restoration areas decreased from 342.15 to 199.91 km2. The results show that in the past 10 years, the ecological space in Hohhot had problems such as quality degradation, fragmentation intensifying, and effective landscape connectivity declining. It is urgent to optimize the ecological sources layout, strengthen the restoration of barrier areas and the protection of pinch point areas, and improve habitat connectivity to ensure the improved regional ecological security. Our results can provide a scientific reference for coordinating ecological protection and economic development, as well as the policy formulation and implementation of relevant departments.
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Affiliation(s)
- Wenjun Wu
- College of Land Management, Nanjing Agricultural University, Nanjing, 210095, China
| | - Shuai Zhao
- College of Land Management, Nanjing Agricultural University, Nanjing, 210095, China
| | - Jie Guo
- College of Land Management, Nanjing Agricultural University, Nanjing, 210095, China
- State and Local Joint Engineering Research Center of Rural Land Resources Utilization and Consolidation, Nanjing, 210095, China
| | - Minghao Ou
- College of Land Management, Nanjing Agricultural University, Nanjing, 210095, China.
- State and Local Joint Engineering Research Center of Rural Land Resources Utilization and Consolidation, Nanjing, 210095, China.
| | - Guanqiao Ding
- College of Land Management, Nanjing Agricultural University, Nanjing, 210095, China
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