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首页> 外文期刊>Ecological research >A method for assessing evergreen habitats using phytodiversity and geospatial techniques in tropical rain forests of Southern Western Ghats (India)
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A method for assessing evergreen habitats using phytodiversity and geospatial techniques in tropical rain forests of Southern Western Ghats (India)

机译：一种利用植物多样性和地理空间技术评估西高止山脉南部热带雨林（印度）常绿栖息地的方法

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摘要

We have used data generated using remote sensing and geographical information systems to categorize habitats, and then determined the relationship between the habitat categorizations and species-distribution patterns. A biologically rich hotspot-Kalakad-Mundanthurai Tiger Reserve, located at Southern Western Ghats, India, was chosen for this study. In order to spatially delineate areas of high species richness/diversity and endemic habitat zones, we have identified evergreen habitats in conjunction with landscape metrics, species assemblage, micro-habitats like slope, topography, species endemism, and proportion of core and edge species. A total of 236 species and 2,920 individuals were recorded using systematic stratified plots of 0.1 ha covering 47 plots. Hierarchical cluster analysis was done using Ward's method. Plot information was used to identify clusters based on species density. The analysis showed five species assemblages that are quite distinct from each other in terms of dominant species. The distribution of endemic and edge species, land cover heterogeneity, and continuity of patches in these clusters were evaluated to understand the degree of disturbance and intactness at landscape scale. Integration of species assemblages and topography brought outrnfour major elevation-slope complexes. Information on species composition (robust field survey) with spectral (hybrid classification) properties has shown 72% overall accuracy and distinguished four evergreen sub-groups and other land cover classes. The developed approach assumes great importance in the assessment of biodiversity and prioritizing the areas of conservation.
机译：我们使用遥感和地理信息系统生成的数据对栖息地进行分类，然后确定栖息地分类与物种分布模式之间的关系。这项研究选择了位于印度南高止山脉南部的生物丰富的热点地区-卡拉卡德-曼德胡莱老虎保护区。为了在空间上划定物种丰富度/多样性较高的区域和地方生境区域，我们结合景观指标，物种组合，坡度，地形，物种特有性以及核心和边缘物种比例等微生境，确定了常绿生境。使用0.1公顷的系统分层样地，覆盖47个样地，总共记录了236种和2,920个个体。层次聚类分析是使用Ward方法进行的。地块信息用于根据物种密度识别集群。分析显示，五个物种组合在优势物种方面彼此完全不同。对这些集群中的特有和边缘物种的分布，土地覆盖的异质性和斑块的连续性进行了评估，以了解景观尺度上的干扰程度和完整性。物种组合和地形的整合带来了四个主要的高程-坡度复合体。具有光谱（混合分类）特性的物种组成信息（稳健的野外调查）显示出72％的整体准确度，并区分了四个常绿亚组和其他土地覆被类别。所开发的方法在评估生物多样性和确定保护领域的优先次序方面非常重要。

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