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Three new algorithms to calculate the irreplaceability index for presence/absence data

机译:三种新算法可计算存在/缺失数据的不可替代性指标

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The irreplaceability index is used for determining the priority of sites for conservation. We propose three new and simple algorithms for calculating it from presence/absence data without any statistical assumptions when the representative combination size is the minimum. The rare species algorithm gives accurate results but takes the longest calculation time. The species richness algorithm gives approximated results and takes the shortest calculation time. The combined algorithm is intermediate in accuracy and calculation time. We applied the combined algorithm to real data of butterflies in the Kanto district, central Japan, and derived irreplaceability values.
机译:不可替代性指数用于确定保护地点的优先级。当有代表性的组合大小最小时,我们提出了三种新的简单算法,可以根据存在/不存在的数据计算它,而无需任何统计假设。稀有物种算法可得出准确的结果,但计算时间最长。物种丰富度算法可得出近似结果,并且计算时间最短。组合算法的准确性和计算时间中等。我们将组合算法应用于日本中部关东地区蝴蝶的真实数据,并得出了不可替代性值。

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