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Relationships between floristic diversity and vegetation indices, forest structure and landscape metrics of fragments in Brazilian Cerrado

机译:巴西塞拉多植物区系多样性与植被指数,森林结构和景观尺度之间的关系

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摘要

Favorable characteristics for development of agricultural activities were crucial factors in the fast substitution of the physiognomy of the Cerrado by agricultural crops and pastures. During this occupation process, the remaining natural vegetation became extremely fragmented and a little is known about the structural and functional integrity even about the species diversity of these ecosystems. The use of vegetation indices as indicators of the forest integrity has been shown to be a useful tool for environmental planning and also for conservation strategies. In this study, we analyzed the correlations between floristic diversity of 22 forests fragments, from diversity indices of Shannon and the equability of Pielou; and the structural parameters of communities represented by basal area and cylindrical volume. Correlations between the diversity and patch metric: AREA, PERIM, GYRATE, PARA, SHAPE, FRAC, CIRCLE, CONTIG, CORE, CAI, PROX and ENN obtained for fragments and among the indices NDVI, SAVI, EVI, MVI5 and MVI7 derived from TM/Landsat images acquired in two seasons were also evaluated. The index which presented strongest correlation with floristic diversity was EVI and the one that showed strongest correlation with the equability was MVI5. The structural parameters basal area and cylindrical volume did not present correlations with diversity and equability. The diversity and equability indices showed correlations with the fragment shape.
机译:农业活动发展的有利特征是用农作物和牧场快速替代塞拉多地貌的关键因素。在这一占领过程中,剩余的自然植被变得极为零散,即使对这些生态系统的物种多样性也知之甚少。使用植被指数作为森林完整性的指标已被证明是用于环境规划和保护战略的有用工具。在这项研究中,我们从香农的多样性指数分析了22个森林碎片的植物区系多样性与Pielou的等值性之间的相关性。并以底面积和圆柱体积表示群落的结构参数。多样性和补丁度量之间的相关性:针对片段以及在TM衍生的索引NDVI,SAVI,EVI,MVI5和MVI7中获得的片段,面积,PERIM,GYRATE,PARA,SHAPE,FRAC,CIRCLE,CONTIG,CORE,CAI,PROX和ENN的相关性还评估了两个季节获得的/ Landsat图像。与植物多样性相关性最强的指标是EVI,与公平性相关性最强的指标是MVI5。底面积和圆柱体积的结构参数与多样性和公平性没有相关性。多样性和公平性指数显示与片段形状相关。

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