基于MEDALUS模型的土地退化敏感性评估——以塞尔维亚东南部Grdelica峡谷和Vranjska河谷为例

IF 1.5 4区 农林科学 Q2 FORESTRY
S. Lukić, A. Baumgertel, S. Obradovic, R. Kadović, J. Beloica, D. Pantić, P. Miljković, S. Belanović Simić
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引用次数: 2

摘要

土地退化是一个由多种驱动因素引起的复杂问题,在土地退化敏感性分析中应考虑每一种驱动因素。本研究确定了Grdelica峡谷和Vranjska山谷中土地退化最敏感的地区,这些地区在自然和社会经济条件方面都是独特的。土地利用的变化和不适当的土地管理导致了该区域的严重退化。地中海荒漠化和土地利用(MEDALUS)模型采用灵活、多因素的方法,对研究区进行了土地退化敏感性综合分析。通过估算气候质量指数、土壤质量指数和植被质量指数来评估土壤退化的主要驱动因素,通过估算管理质量指数和社会质量指数来评估主要社会经济指标。结果表明,森林覆盖是影响土地退化的主要因素,即使森林结构、冠层覆盖、健康和质量等特征发生微小的不利变化,也可能引发退化过程。植被质量指数是根据当前植被保护土壤免受侵蚀、抗旱性和火灾风险的能力来定义的。森林植被覆盖的详细数据来自国家森林清查(NFI)。通过分析得出的环境敏感区(ESA)指数将26.11%的研究区域划分为临界区,69.53%的研究区域为脆弱区,2.70%的研究区域为容易发生或不受退化过程影响的区域。根据ESA指数,物种组成最优且冠层盖度高的森林覆盖区域最不容易退化。农业集约生产而不采取任何保护措施的地区最容易发生退化。讨论了未来最佳土地利用模式的策略,例如在农田中整合木本物种,以保护土壤免受退化,并满足易退化地区的人类需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of land sensitivity to degradation using MEDALUS model - a case study of Grdelica Gorge and Vranjska Valley (southeastern Serbia)
Land degradation is a complex issue caused by diverse drivers, each of which should be considered in the analysis of land sensitivity to degradation. This study identifies the areas most sensitive to land degradation in the Grdelica Gorge and Vranjska Valley, which are unique in terms of natural and socioeconomic conditions. Land-use changes and inappropriate land management have led to serious degradation in this region. The flexible and multifactorial approach of the Mediterranean Desertification and Land Use (MEDALUS) model allowed comprehensive land degradation sensitivity analysis in the study area. The main factors driving soil degradation were assessed by estimating climate quality index, soil quality index, and vegetation quality index, and the main socioeconomic indicators by management quality index and social quality index. The results showed that forest cover is the main factor to contrast land degradation, and even minor adverse changes in forest characteristics, such as structure, canopy cover, health, and quality, could trigger degradation processes. The vegetation quality index was defined in terms of the current vege-tation’s capacity to protect soil from erosion, drought resistance, and fire risk. Detailed data on forest vegetation cover was obtained from the National Forest Inventory (NFI). The environmentally sensitive area (ESA) index generated through the analysis classified 26.11% of the total study area as critical, 69.53% as fragile, and 2.70% as either prone to or unaffected by degradation processes. According to the ESA index, the areas covered by forests with optimal species composition and high canopy cover were the least susceptible to degradation. The areas under intensive agricultural production without any application of conservation measures were the most susceptible to degradation. Future strategies for optimal land-use patterns are discussed, such as the in-tergration of woody species in croplands to protect soil against degradation and meet human needs in the areas prone to degradation.
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来源期刊
CiteScore
3.30
自引率
0.00%
发文量
54
审稿时长
6 months
期刊介绍: The journal encompasses a broad range of research aspects concerning forest science: forest ecology, biodiversity/genetics and ecophysiology, silviculture, forest inventory and planning, forest protection and monitoring, forest harvesting, landscape ecology, forest history, wood technology.
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