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生境质量和生态风险的变化及其与景观格局指数的相关性研究——以人类活动强烈干扰的滨海区域为例:中国南方的兴港镇。

Variations of Habitat Quality and Ecological Risk and Their Correlations with Landscape Metrics in a Robust Human Disturbed Coastal Region-Case Study: Xinggang Town in Southern China.

机构信息

School of Architecture and Urban Planning, Guizhou Institute of Technology, Guiyang 550003, China.

School of Management Science, Guizhou University of Finance and Economics, Guiyang 550025, China.

出版信息

Int J Environ Res Public Health. 2023 Feb 6;20(4):2837. doi: 10.3390/ijerph20042837.

DOI:10.3390/ijerph20042837
PMID:36833535
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9956210/
Abstract

This paper explores how landscape risk and habitat quality vary in coastal areas with strong anthropogenic disturbance based on a case study. We analyze the temporal-spatial variations of habitat quality and ecological risk in the coastal region by adopting the methods of theInVEST model and the ecological risk index. The correlations of habitat quality and ecological risk with landscape metrics are subsequently quantified. The results indicated the presence of obvious distance gradients in relation to the deterioration of habitat quality and the increase in ecological risk. Moreover, the gradient area close to the coastline exhibits significant habitat quality and ecological risk changes. The majority of landscape metrics show positive correlations with habitat quality and ecological risk, and these correlations vary with the distance gradients. Since the rapid urbanization of the coastal region, the marked expansion of built-up land and decrease in natural landscapes has significantly impacted the landscape pattern index and, consequently, changed the habitat quality and ecological risk level.

摘要

本文基于案例研究,探讨了在受强烈人为干扰的沿海地区,景观风险和栖息地质量的变化情况。我们采用 InVEST 模型和生态风险指数方法,分析了沿海地区的时空变化。随后,量化了栖息地质量和生态风险与景观指标的相关性。结果表明,在靠近海岸线的梯度区域,栖息地质量恶化和生态风险增加的现象明显。大部分景观指标与栖息地质量和生态风险呈正相关,且这些相关性随距离梯度而变化。由于沿海地区的快速城市化,建设用地的显著扩张和自然景观的减少,显著影响了景观格局指数,从而改变了栖息地质量和生态风险水平。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4dff/9956210/bc26bda9680c/ijerph-20-02837-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4dff/9956210/0ea3c4139c98/ijerph-20-02837-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4dff/9956210/34f44f622c82/ijerph-20-02837-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4dff/9956210/34439a6a6cb7/ijerph-20-02837-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4dff/9956210/68f374a06968/ijerph-20-02837-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4dff/9956210/e6ea02bc8d84/ijerph-20-02837-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4dff/9956210/eabcd5098bf7/ijerph-20-02837-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4dff/9956210/b08a654a6f8e/ijerph-20-02837-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4dff/9956210/e8d5000e5f39/ijerph-20-02837-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4dff/9956210/1aaae33de8df/ijerph-20-02837-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4dff/9956210/9bb55cf0057d/ijerph-20-02837-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4dff/9956210/bc26bda9680c/ijerph-20-02837-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4dff/9956210/0ea3c4139c98/ijerph-20-02837-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4dff/9956210/34f44f622c82/ijerph-20-02837-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4dff/9956210/34439a6a6cb7/ijerph-20-02837-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4dff/9956210/68f374a06968/ijerph-20-02837-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4dff/9956210/e6ea02bc8d84/ijerph-20-02837-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4dff/9956210/eabcd5098bf7/ijerph-20-02837-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4dff/9956210/b08a654a6f8e/ijerph-20-02837-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4dff/9956210/e8d5000e5f39/ijerph-20-02837-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4dff/9956210/1aaae33de8df/ijerph-20-02837-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4dff/9956210/9bb55cf0057d/ijerph-20-02837-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4dff/9956210/bc26bda9680c/ijerph-20-02837-g011.jpg

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