Biodiversity loss and inter-provincial cooperative protection in China based on input-output model

被引:3
|
作者
Zhang, Jialin [1 ]
Qin, Rongnuo [1 ]
He, Jianhua [1 ,2 ]
机构
[1] Wuhan Univ, Sch Resource & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Peoples R China
[2] Wuhan Univ, Minist Educ, Key Lab Geog Informat Syst, 129 Luoyu Rd, Wuhan 430079, Peoples R China
基金
中国国家自然科学基金;
关键词
Biodiversity loss; Inter-provincial trade; EE-MRIO; IO analysis; Biodiversity protection community; THREATS; RESOURCES; QUO;
D O I
10.1016/j.jclepro.2024.141830
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Along with habitat destruction and the intensification of climate change, economic and social development is threatening the living of species. In the context of China's domestic economic circulation, the spatial structure of biodiversity loss is complicated by the decentralization of production, with many regions affecting the survival of species in other regions. Based on the environmentally extended MRIO model, this paper calculated the subnational biodiversity loss footprint through structural path analysis and social network analysis, identified the regional linkages and spatial networks of species loss, and traced the conservation responsibility to specific sectors. Our findings indicate that Yunnan, Tibet, Guangdong, and Sichuan possess the most significant biodiversity footprints, comprising over 40% of the total footprint. In terms of threat patterns, Yunnan and Tibet have the largest intra-regional footprints, indicating their important impact on species within the region; Guangdong and Zhejiang have the largest extra -regional footprints, indicating their role in threatening other species through cross -regional trades. The primary industry, tap water and food and tobacco sectors are major biodiversity footprint producers. Overall, some eastern and coastal areas are the final drivers of biodiversity loss in China, driven by increasingly complex trade links. Notably, the directionality of species loss in biodiversity hotspots is evident, with Shandong and Guangdong significantly influencing the biodiversity of Yunnan and Guangxi, respectively. This study systematically analyzed the complete network of biodiversity loss and divided four biodiversity protection communities to promote the realization of trans -regional protection and compensation. Examining the biodiversity loss through the lens of networks, and connecting economic activities to species, serves as a warning to decision -making bodies that a future of increasingly intricate domestic trade could pose a critical threat to biodiversity, necessitating collaborative conservation efforts.
引用
收藏
页数:12
相关论文
共 50 条
  • [41] Agent-based input-output interdependency model
    Oliva, Gabriele
    Panzieri, Stefano
    Setola, Roberto
    INTERNATIONAL JOURNAL OF CRITICAL INFRASTRUCTURE PROTECTION, 2010, 3 (02) : 76 - 82
  • [42] Cost Model and Arithmetic based on Input-Output Theory
    Sun, Hongkai
    Wang, Yanxun
    2012 7TH INTERNATIONAL CONFERENCE ON SYSTEM OF SYSTEMS ENGINEERING (SOSE), 2012, : 672 - 675
  • [43] Input-Output Model of Time Series Based on ESN
    Xiang, Kui
    Wu, Xixiu
    Fu, Jian
    Chen, Jing
    2008 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-8, 2008, : 734 - 737
  • [44] Study of Currency Flows Based on the Input-Output Model
    Wang Xuefeng
    Ding Wenfeng
    PROCEEDINGS OF THE 5TH (2013) INTERNATIONAL CONFERENCE ON FINANCIAL RISK AND CORPORATE FINANCE MANAGEMENT, VOLS I AND II, 2013, : 549 - 554
  • [45] Study on Urban Transport Input in Beijing Based on Input-output Model
    Chen, Xumei
    Lu, Xi
    Yang, Xinzheng
    2017 IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2), 2017,
  • [46] Ecological Network-based Input-output Model for Virtual Water Analysis in China
    Wu, X. J.
    Sun, J.
    Liu, J.
    Ding, Y. K.
    Huang, G. H.
    Li, Y. P.
    4TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL ENGINEERING AND SUSTAINABLE DEVELOPMENT (CEESD 2019), 2020, 435
  • [47] Manufacturing costing system based on input-output model
    Huang, Liang
    Wang, De-Lun
    Tang, Su-Zhou
    Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2007, 13 (11): : 2133 - 2139
  • [48] Analysis of the efficiency of regional electricity input-output for China based on grey DEA model
    Wu, Hecheng
    Yan, Wenyan
    Liu, Sifeng
    2007 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-8, 2007, : 1234 - 1238
  • [49] A Bi-Level Optimization Model for Inter-Provincial Energy Consumption Transfer Tax in China
    Zeng, Lijun
    Zhang, Wencheng
    Yang, Muyi
    ENERGIES, 2023, 16 (21)
  • [50] INPUT-OUTPUT BASED MODEL REDUCTION FOR INTERCONNECTED SYSTEMS
    Holzwarth, Philip
    Eberhard, Peter
    11TH WORLD CONGRESS ON COMPUTATIONAL MECHANICS; 5TH EUROPEAN CONFERENCE ON COMPUTATIONAL MECHANICS; 6TH EUROPEAN CONFERENCE ON COMPUTATIONAL FLUID DYNAMICS, VOLS II - IV, 2014, : 464 - 474