The spatial patterns of deforestation in the Ko'mara forest area

Leny Rachmawati, S. Paembonan, S. Rijal, M. Nursaputra, A. S. Soma, S. Millang, A. Mujetahid
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引用次数: 0

Abstract

Land-use changes result from changes in the human population, their activities, and social and environmental activities, which occur in a complex and dynamic manner. The change of forested areas to non-forested areas, also known as deforestation, is a land-use change. Deforestation influences land cover by creating a specific distribution pattern (fragmentation). Almost the entire forest has been fragmented into smaller areas, but the pattern of each of these forest areas is uncertain. As a consequence, it would be more challenging to control potential deforestation. Using the spatial metrics of Clumpiness index, Contiguity index, and Patch density, deforestation in one of the forest areas, namely the Ko'mara forest area, was carried out. This research was analyzed using GIS and Fragstat software in raster data format. The analysis results show that the spatial pattern of deforestation in this area has a clumped distribution, with a high level of patch contiguity and a low to medium level of fragmentation. This pattern represents the form of deforestation in the Ko'mara forest area in 2005-2010 and 2010-2015 was classified as Low Deforestation with a deforestation rate of <1%, but was classified as Moderate Deforestation in 2015-2019 because the value obtained was 1.1%.
Ko’mara林区森林砍伐的空间格局
土地利用的变化源于人口及其活动以及社会和环境活动的变化,这些变化以复杂和动态的方式发生。森林地区向非森林地区的变化,也称为森林砍伐,是土地使用的变化。森林砍伐通过形成特定的分布模式(碎片化)来影响土地覆盖。几乎整个森林都被分割成了更小的区域,但每个森林区域的模式都不确定。因此,控制潜在的森林砍伐将更具挑战性。利用模糊度指数、邻接度指数和斑块密度的空间度量,对其中一个林区,即Ko'mara林区进行了森林砍伐。利用GIS和Fragstat软件以光栅数据格式对本研究进行了分析。分析结果表明,该地区森林砍伐的空间格局呈聚集分布,斑块邻接程度高,破碎化程度低至中等。这种模式代表了2005-2010年和2010-2015年Ko'mara森林地区的森林砍伐形式,被归类为低森林砍伐,森林砍伐率<1%,但在2015-2019年被归类为中等森林砍伐,因为获得的值为1.1%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
0.40
自引率
0.00%
发文量
7
审稿时长
53 weeks
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