Construction of Regional Ecological Security Patterns Based on Multi-Criteria Decision Making and Circuit Theory

被引:44
|
作者
Yu, Haoran [1 ,2 ,3 ]
Gu, Xinchen [1 ,4 ]
Liu, Guihua [1 ]
Fan, Xin [5 ]
Zhao, Qi [6 ]
Zhang, Qiang [3 ]
机构
[1] Jiangxi Normal Univ, Sch Geog & Environm, Key Lab Poyang Lake Wetland & Watershed Res, Nanchang 330022, Jiangxi, Peoples R China
[2] Nanjing Forestry Univ, Sch Landscape Architecture, Nanjing 210037, Peoples R China
[3] Anhui Jianzhu Univ, Sch Architecture & Planning, Hefei 230022, Peoples R China
[4] Tianjin Univ, Sch Civil Engn, State Key Lab Hydraul Engn Simulat & Safety, Tianjin 300072, Peoples R China
[5] China Univ Geosci Wuhan, Sch Publ Adm, Wuhan 430074, Peoples R China
[6] Hydrol Bur Xinjiang Uygur Autonomous Reg, Urumqi 830099, Peoples R China
基金
中国国家自然科学基金;
关键词
ecosystem services; synergy and trade-offs; ecological corridors; pinch points; barrier points; Anhui Province; ECOSYSTEM SERVICES; TRADE-OFFS; NETWORKS; RIVER;
D O I
10.3390/rs14030527
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The scientific identification of key areas for regional ecological protection represents an important basis for maintaining regional ecological stability and enhancing regional development. It is also a developing methodology of landscape ecology (LE) research. The strategic ecological protection and integrated development of the Yangtze River Delta region is of critical significance for promoting the construction of ecological civilization in the watershed and improving societal health. Here, we analyze Anhui Province and select important ecosystem service functions (biodiversity, carbon fixation, soil conservation function, and water retention) in the study area. We construct a spatial pattern of ecosystem services for multiple scenarios based on the multi-criteria decision-making method ordered weighted averaging (OWA), calculate the trade-off degree and conservation efficiency of each scenario, identify ecological priority conservation areas, use circuit theory to explore ecological corridors and key areas and to construct regional ecological corridors, and identify regional pinch points and barrier points which may impede the construction of regional ecological security patterns. The study area is divided into an ecological protection zone, ecological buffer zone, ecological transition zone, ecological optimization zone, and ecological governance zone. Our results show that: (1) the four types of ecosystems in the study area have similar spatial distribution patterns, with an overall spatial characteristic of "high in the southwest and low in the northeast"; (2) the four types of ecosystem services in the study area show synergistic relationships at the provincial scale, but in areas with different natural and geographical characteristics, there are both synergistic and trade-off relationships between different ecosystem services; (3) a total of 121 ecological source sites were identified in the study area based on multi-criteria decision making which cover an area of 43,222.26 km(2), accounting for 30.87% of the total area of the study area; and (4) a total of 250 ecological corridors, 54 pinch points, and 24 barrier points were identified in the study area based on circuit theory. Our results may provide decision support for ecological restoration and land use structure optimization in Anhui Province and other regions.
引用
收藏
页数:22
相关论文
共 50 条
  • [1] The Construction of a Regional Ecological Security Pattern Based on Circuit Theory
    Li, Jiulin
    Xu, Jiangang
    Chu, Jinlong
    [J]. SUSTAINABILITY, 2019, 11 (22)
  • [2] Constructing ecological security patterns with differentiated management intensity based on multifunctional landscape identification and multi-criteria decision-making
    Jiang, Hong
    Peng, Jian
    Xu, Dongmei
    Tang, Hui
    [J]. GLOBAL ECOLOGY AND CONSERVATION, 2024, 50
  • [3] Prospect Theory Based Multi-criteria Decision Making Method
    Hu Jun-hua
    Zhou Yi-wen
    [J]. CCDC 2009: 21ST CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, PROCEEDINGS, 2009, : 2930 - 2934
  • [4] A Multi-Criteria Decision Making Based Method for Ranking Sequential Patterns
    Dashti, Zeinab
    Pedram, Mir Mohsen
    Shanbehzadeh, Jamshid
    [J]. INTERNATIONAL MULTICONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS (IMECS 2010), VOLS I-III, 2010, : 611 - +
  • [5] Consultative multi-criteria decision making process for drought security
    Mukheibir, Pierre
    Cole, Cathy
    Drinkwater, Kate
    Abeysuriya, Kumi
    [J]. WATER PRACTICE AND TECHNOLOGY, 2015, 10 (04): : 725 - 738
  • [6] A review of application of multi-criteria decision making methods in construction
    Jato-Espino, Daniel
    Castillo-Lopez, Elena
    Rodriguez-Hernandez, Jorge
    Canteras-Jordana, Juan Carlos
    [J]. AUTOMATION IN CONSTRUCTION, 2014, 45 : 151 - 162
  • [7] Multi-criteria decision making method with interval values based on prospect theory
    Zhou Jian-da
    Chen Xiao-hong
    [J]. EIGHTH WUHAN INTERNATIONAL CONFERENCE ON E-BUSINESS, VOLS I-III, 2009, : 1179 - 1185
  • [8] Hesitant fuzzy linguistic multi-criteria decision making based on possibility theory
    Xiangqian Feng
    Qianyun Tan
    Cuiping Wei
    [J]. International Journal of Machine Learning and Cybernetics, 2018, 9 : 1505 - 1517
  • [9] Hesitant fuzzy linguistic multi-criteria decision making based on possibility theory
    Feng, Xiangqian
    Tan, Qianyun
    Wei, Cuiping
    [J]. INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2018, 9 (09) : 1505 - 1517
  • [10] Multi-criteria decision making with overlapping criteria
    Abdulla, Mohammed Shahid
    [J]. IIMB MANAGEMENT REVIEW, 2012, 24 (03) : 137 - 142