Using ecological niche modeling to determine avian richness hotspots

作者: R. Mirzaei , M.R. Hemami , A. Esmaili Sari , H.R. Rezaei , A.T. Peterson

DOI: 10.22034/GJESM.2017.03.02.002

关键词:

摘要: Understanding distributions of wildlife species is a key step towards identifying biodiversity hotspots and designing effective conservation strategies. In this paper, the spatial pattern diversity birds in Golestan Province, Iran was estimated. Ecological niche modeling used to determine 144 bird across province using maximum entropy algorithm. Richness maps all birds, separately for rare threatened species, were prepared as approximations hotspots. Results showed close similarity between those birds; concentrated southern especially southwestern parts province. Hotspots tended more central western province, which include coastal habitats. Based on three criteria, it clear that part most important area terms Faunas. Despite some shortcomings, hotspot analysis could be applied guide efforts provide useful tool efficient action.

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