基于模糊评价模型的野生动物保护策略研究

Chuanqi Hua
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引用次数: 0

摘要

野生动物的数量正在减少,许多物种濒临灭绝。为了提出一种能够实现环境保护与经济发展双赢目标的野生动物保护政策,本文以马赛马拉自然保护区为例。首先,分析了马赛马拉自然保护区的区域规划和野生动物种群数据,将其划分为德兰萨拉、纳罗克和旅游区三个主要区域。三个不同区域的特征为每个区域平衡人类活动和野生动物保护提供了具体的政策策略。然后建立模糊综合评价模型,对政策指标进行定量评分,从保护野生动物和平衡人类活动两个维度得到最佳政策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Wildlife Protection Strategy based on Fuzzy Evaluation Model
The number of wild animals is decreasing, and many species are on the verge of extinction. In order to put forward a wildlife protection policy that can achieve the goal of a win-win goal of environmental protection and economic development, this paper takes the Masai Mara Nature Reserve as an example. First, it analyzes the regional planning and wildlife population data of the Masai Mara Nature Reserve, and divides it into three major areas: Delansala, Narok and the tourist area. The characteristics of three different regions give specific policy strategies for each region to balance human activities and wildlife protection. Then establish a fuzzy comprehensive evaluation model, quantitatively score policy indicators, and get the best policy from the two dimensions of protecting wildlife and balancing human activities.
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