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基于脆弱性评分图模型的中国神农架生态脆弱性时空演变。

Spatial and temporal evolution of ecological vulnerability based on vulnerability scoring diagram model in Shennongjia, China.

机构信息

College of Landscape Architecture, Northeast Forestry University, Harbin, 150040, China.

Key Laboratory for Garden Plant Germplasm Development & Landscape Eco-Restoration in Cold Regions of Heilongjiang Province, Harbin, 150040, China.

出版信息

Sci Rep. 2022 Mar 25;12(1):5168. doi: 10.1038/s41598-022-09205-w.

DOI:10.1038/s41598-022-09205-w
PMID:35338223
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8956742/
Abstract

Shennongjia is one of the most important ecological function areas and ecologically vulnerable zones in the world. With the rapid development of social economies, especially tourism, the ecological environment of Shennongjia has experienced profound changes. Exploring the characteristics and changing trends of ecological environment in Shennongjia will help to analyze the causes of the damage to the ecological environment, and build a vulnerability analysis framework with multi-scale, multi-element, multi-flow, and multi-circulation characteristics, which provides an effective research paradigm and analysis tool for the study of regional ecological vulnerability. With the support of RS and GIS technology, this study uses spatial principal component analysis (SPCA) and the vulnerability scoring diagram (VSD) model to comprehensively and quantitatively analyze the spatial and temporal evolution characteristics and driving forces of ecological vulnerability in Shennongjia from 1996 to 2018. The VSD model was selected to decompose the vulnerability into three components of "exposure-sensitivity-adaptation", and 16 indicators were selected to construct an ecological vulnerability evaluation system in Shennongjia, and the evaluation data were organized in a progressive and detailed way. (1) During the study period, the overall ecological vulnerability of Shennongjia is in a mild vulnerability level, exhibiting differentiation characteristics of high in the northeast and low in the southwest. High vulnerability zones are mainly distributed in the main towns and roads. (2) The risk of ecological vulnerability of the entire region presents the characteristics of continuous decline. (3) Land-use types, population density, and vegetation coverage are the main factors driving the evolution of ecological vulnerability. (4) A high level of coupling coordination exists between ecological vulnerability and landscape patterns. Analyses of the ecological vulnerability of Shennongjia shows that the entire region is in a mild vulnerability level. The extreme vulnerability risk of the ecological environment shows polarization. The evolution of ecological environment in Shennongjia is the result of the interaction between human activities and natural environment. This study offers an effective way to assess ecological vulnerability and provides some strategies and guidance for improving ecological security.

摘要

神农架是世界上最重要的生态功能区和生态脆弱区之一。随着社会经济的快速发展,特别是旅游业的发展,神农架的生态环境发生了深刻变化。探讨神农架生态环境的特征和变化趋势,有助于分析生态环境破坏的原因,构建具有多尺度、多要素、多流向、多循环特征的脆弱性分析框架,为区域生态脆弱性研究提供有效的研究范式和分析工具。本研究利用 RS 和 GIS 技术,采用空间主成分分析(SPCA)和脆弱性评分图(VSD)模型,综合定量分析了 1996-2018 年神农架生态脆弱性的时空演变特征及其驱动力。选择 VSD 模型将脆弱性分解为“暴露-敏感性-适应”三个组成部分,选取 16 个指标构建神农架生态脆弱性评价体系,对评价数据进行了递进式、精细化的组织。(1)研究期间,神农架整体生态脆弱性处于轻度脆弱水平,呈现出东北高、西南低的分异特征。高脆弱区主要分布在主要城镇和道路。(2)全区生态脆弱性风险呈现持续下降的特征。(3)土地利用类型、人口密度和植被覆盖度是驱动生态脆弱性演变的主要因素。(4)生态脆弱性与景观格局之间存在高度的耦合协调关系。对神农架生态脆弱性的分析表明,全区处于轻度脆弱水平,生态环境极端脆弱性风险呈两极化发展。神农架生态环境的演变是人类活动与自然环境相互作用的结果。本研究为评估生态脆弱性提供了有效方法,为改善生态安全提供了一些策略和指导。

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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8aa7/8956742/42af3522bbc3/41598_2022_9205_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8aa7/8956742/2020aac95d1e/41598_2022_9205_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8aa7/8956742/57dd6744e649/41598_2022_9205_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8aa7/8956742/a48740e585fa/41598_2022_9205_Fig8_HTML.jpg
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本文引用的文献

1
The concentration of persistent organic pollutants in water resources: A global systematic review, meta-analysis and probabilistic risk assessment.水资源中持久性有机污染物的浓度:全球系统评价、荟萃分析和概率风险评估。
Sci Total Environ. 2021 Nov 20;796:149000. doi: 10.1016/j.scitotenv.2021.149000. Epub 2021 Jul 10.
2
Hybrid model for ecological vulnerability assessment in Benin.贝宁生态脆弱性评估的混合模型。
Sci Rep. 2021 Jan 28;11(1):2449. doi: 10.1038/s41598-021-81742-2.
3
[Effects of land use change on landscape pattern vulnerability in Yinchuan Basin, Northwest China].
2000年采自中国中部神农架的猎蛛属一新种(蜘蛛目,巨蟹蛛科)。
Biodivers Data J. 2024 Aug 2;12:e130445. doi: 10.3897/BDJ.12.e130445. eCollection 2024.
4
Research on tourism ecological safety evaluation of Huizhou Cultural and ecological reserve based on entropy -TOPSIS.基于熵权-TOPSIS法的徽州文化生态保护区旅游生态安全评价研究
Heliyon. 2024 Jan 9;10(2):e24325. doi: 10.1016/j.heliyon.2024.e24325. eCollection 2024 Jan 30.
5
Incorporating ecosystem services into functional zoning and adaptive management of natural protected areas as case study of the Shennongjia region in China.将生态系统服务纳入自然保护区的功能分区和适应性管理——以中国神农架地区为例
Sci Rep. 2023 Nov 1;13(1):18870. doi: 10.1038/s41598-023-46182-0.
6
Multi-hazard risk characterization and collaborative control oriented to space in non-coal underground mines.面向非煤地下矿山空间的多灾种风险表征与协同控制
Sci Rep. 2022 Sep 30;12(1):16452. doi: 10.1038/s41598-022-20437-8.
[土地利用变化对中国西北银川盆地景观格局脆弱性的影响]
Ying Yong Sheng Tai Xue Bao. 2016 Jan;27(1):243-9.
4
Europe's forest management did not mitigate climate warming.欧洲的森林管理并没有缓解气候变暖。
Science. 2016 Feb 5;351(6273):597-600. doi: 10.1126/science.aad7270.
5
Evolution of natural and social science interactions in global change research programs.全球变化研究计划中自然科学和社会科学相互作用的演变。
Proc Natl Acad Sci U S A. 2013 Feb 26;110 Suppl 1(Suppl 1):3665-72. doi: 10.1073/pnas.1107484110. Epub 2013 Jan 7.
6
Ecological vulnerability in risk assessment--a review and perspectives.生态脆弱性在风险评估中的应用——综述与展望。
Sci Total Environ. 2010 Aug 15;408(18):3871-9. doi: 10.1016/j.scitotenv.2009.11.009. Epub 2009 Dec 9.