基于灰色三角白化权集对分析模型的喀斯特山区农业生态环境脆弱性评价

doi:10.13287/j.1001-9332.202008.014

应用生态学报 ›› 2020, Vol. 31 ›› Issue (8): 2680-2686.doi: 10.13287/j.1001-9332.202008.014

基于灰色三角白化权集对分析模型的喀斯特山区农业生态环境脆弱性评价

舒英格^1,2*, 彭文君¹, 周鹏鹏²

¹贵州大学资源与环境工程学院, 贵阳 550025;
²贵州大学农学院, 贵阳 550025

收稿日期:2020-03-09 修回日期:2020-06-06 出版日期:2020-08-15 发布日期:2021-02-15
通讯作者: * E-mail: maogen958@163.com
作者简介:舒英格, 男, 1973年生, 副教授, 博士研究生。主要从事农业资源与环境和土地资源利用管理研究。E-mail: maogen958@163.com
基金资助:
国家自然科学基金项目(31460133)资助

Vulnerability assessment of agro-ecological environment in Karst mountain based on set pair analysis model of grey trigonometrically whitening weight

SHU Ying-ge^1,2*, PENG Wen-jun¹, ZHOU Peng-peng²

¹School of Resources and Environmental Engineering, Guizhou University, Gui-yang 550025, China;
²School of Agriculture, Guizhou University, Guiyang 550025, China

Received:2020-03-09 Revised:2020-06-06 Online:2020-08-15 Published:2021-02-15
Supported by:
This work was supported by the National Natural Science Foundation of China (31460133).

摘要/Abstract

摘要： 生态脆弱性一直是全球变化与可持续发展研究的热点问题,研究农业生态环境脆弱性问题有利于合理利用区域农业资源,提出有效的农业生态环境保护措施。针对农业生态环境脆弱性评价未考虑不同评价级别内各指标之间同、异、反关系,本研究基于灰色三角白化权集对分析(SPA)模型,从生态环境外在脆弱性方面选择人口密度、人均耕地面积、人均造林面积等11个评价指标,对喀斯特山区农业生态环境脆弱性进行评价。结果表明: 研究区农业生态环境比较脆弱,以极度、高度和中度脆弱度为主;极度、高度、中度、轻度和微度农业生态环境脆弱区比例分别为32.4%、14.1%、17.7%、23.6%和12.2%;评价结果与研究区域农业生态环境脆弱性实际状况相符。说明以灰色三角白化权SPA模型评价农业生态环境脆弱性具有可行性,可为农业生态环境脆弱性评价提供一种新的方法和思路。

关键词: 农业生态环境脆弱性, 集对分析(SPA)模型, 灰色三角白化权函数, 喀斯特山区

Abstract: Ecological vulnerability is a hot issue in the study of global change and sustainable development. Understanding the vulnerability of agro-ecological environment is conducive to rational utilization of regional agricultural resources, which could put forward effective measures for prote-cting agro-ecological environment. Given that the evaluation of agricultural eco-environment vulnerability generally does not consider the relationships among different indicators in different evaluation levels, we used the grey trigonometrically whitening weight set pair analysis (SPA) model to evaluate the vulnerability of agricultural eco-environment in Karst mountain by selecting 11 indicators such as population density, per capita arable land area and per capita afforestation area from the external vulnerability of ecological environment. The results showed that the vulnerability degree of agro-ecological environment in the study area was very high, mainly at the extreme, high and medium vulnerability grades. The proportion of extremely, highly, moderately, mildly and slightly vulnerable areas was 32.4%, 14.1%, 17.7%, 23.6% and 12.2% respectively. This result was consistent with the status of agricultural ecological environment vulnerability in the study area. It was feasible to evaluate the vulnerability of agro-ecosystem with the SPA Model of grey trigonometrically whitening weight, which provided a new method for evaluating agricultural ecological environment vulnerability.

Key words: vulnerability of agro-ecological environment, set pair analysis model, grey trigonometri-cally whitening weight function, Karst mountain

舒英格, 彭文君, 周鹏鹏. 基于灰色三角白化权集对分析模型的喀斯特山区农业生态环境脆弱性评价[J]. 应用生态学报, 2020, 31(8): 2680-2686.

SHU Ying-ge, PENG Wen-jun, ZHOU Peng-peng. Vulnerability assessment of agro-ecological environment in Karst mountain based on set pair analysis model of grey trigonometrically whitening weight[J]. Chinese Journal of Applied Ecology, 2020, 31(8): 2680-2686.

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基于灰色三角白化权集对分析模型的喀斯特山区农业生态环境脆弱性评价

Vulnerability assessment of agro-ecological environment in Karst mountain based on set pair analysis model of grey trigonometrically whitening weight

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