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EVALUATING SPATIAL PATTERNS AMONG FOREST TYPES IN PENINSULAR MALAYSIA USING FRAGSTATS

机译:使用Fragstats评估森林林类型中的空间模式

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Forest plays an important role as habitat for flora and fauna. However, due to land use conversion activity conducted by human, the forest area are continually decreasing and facing fragmentation. This study is aimed to evaluate the spatial patterns and determine the status of fragmentation among three major forest types in Peninsular Malaysia namely inland forest, mangrove forest and peat swamps forest. The input data required are forest cover was generated from Landsat-8 imagery acquired throughout year 2016. The input data then was evaluated using an open source spatial statistical package software called FRAGSTATS. Ten landscape metrics consist of percentage land cover, number of patches, patch density, largest patch index, mean patch size, edge density, mean shape index, mean core index, mean nearest-neighbor distance and interspersion and Juxtaposition index were generated using FRAGSTATS. From the result obtained, we found that inland forest encounter the least fragmentation, followed by peat swamps forest and mangroves forest.
机译:森林在植物群和动物群中发挥着重要作用。然而,由于人类进行的土地使用转换活动,森林面积不断降低和面对碎片。本研究旨在评估空间模式,并确定半岛马来西亚三大森林类型中的碎片状况,即内陆森林,红树林和泥炭沼泽林。所需的输入数据是从2016年度收购的Landsat-8图像生成的林盖。然后使用名为Fragstats的开源空间统计包软件进行评估输入数据。十个景观度量由百分比覆盖,贴片数,贴片密度,最大贴片索引,平均贴片尺寸,边缘密度,平均形状指数,平均核心指数,平均最接近邻距离和间隙和与晶体偏移指数的百分比覆盖率,平均曲线折射率,平均值,相位率。从获得的结果中,我们发现内陆森林遇到了最少的碎片,其次是泥炭沼泽森林和红树林。

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