基于地理邻近性和水土保持能力的生态敏感区评估中的农村居住区优化

Land Pub Date : 2024-07-16 DOI:10.3390/land13071071
Ruiyi Lou, Dongyan Wang
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摘要

生态敏感地区的农村社区面临着环境挑战和土地浪费问题。年轻人的不断流失导致村庄空心化,使这些问题凸显出来。有关生态敏感地区农村居民点整治的研究很少。本文以位于吉林西部农牧交错带、以生态敏感著称的通榆县为研究对象。在通过层次分析法(AHP 法)对该地区进行地理评估,以及通过修订的水土流失通用方程模型(RUSLE)和净初级生产力定量指数模型(NPP 模型)对该地区进行水土保持能力评估的基础上,我们提出了一个农村发展方案,将研究区划分为三个不同的发展方向,即潜力提升区、集聚发展区和限制扩张区。此外,我们还利用核密度估计方法构思了农村聚落整治方案,并为不同密度水平的农村聚落提供了整治策略。农村居民点发展计划和农村居民点整治方案促进了农村居民点的优化。值得注意的是,随着内核密度的增加,农村居民点的面积呈先增加后减少的趋势。我们的研究有助于节约研究区 5.059 平方公里的土地资源,并为改善通榆县农村居民点布局提供指导。
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Rural Settlement Optimization for Ecologically Sensitive Area Evaluations Based on Geo-Proximity and the Soil–Water Conservation Capacity
Rural communities in ecologically sensitive areas are confronted with environmental challenges and land waste. The hollowing out of villages because of the steady loss of young people has brought these problems to the fore. Research on the remediation of rural settlements in ecologically sensitive regions is scarce. This paper focuses on Tong Yu County, a region located in the agricultural and pastoral intertwined zones of western Jilin, which is known for its ecological sensitivity. On the basis of the results of the geographical assessment of the area via hierarchical analysis (AHP method)and soil and water conservation capacity evaluation via the revised universal soil loss equation model(RUSLE) and the net primary production quantitative index model(NPP model), we propose a rural development program that divides the study area into three different zones with different development orientations, namely, potential enhancement, agglomeration development, and expansion restrictions. Moreover, we conceived a rural settlement remediation scheme using the kernel density estimation method and provided remediation strategies for rural settlements of various density levels. The rural settlement development program and the rural settlement remediation scheme led to the optimization of rural settlements. Notably, with increasing kernel density, the area of rural settlements tends to increase and then decrease. Our research helps save 5.059 km2 of land resources in the study area and offers guidance for improving the rural settlement layout in Tong Yu County.
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