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首页> 外文期刊>Endangered species research >Modelling the habitat use and distribution of the threatened Javan slow loris Nycticebus javanicus
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Modelling the habitat use and distribution of the threatened Javan slow loris Nycticebus javanicus

机译:建模受威胁的爪哇慢懒猴Nycticebus javanicus的栖息地使用和分布

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The Javan slow loris Nycticebus javanicus is threatened by habitat decline and is classified as Critically Endangered on the IUCN Red List. Information on its distribution and habitat preferences is still lacking, and so far the distribution of the Javan slow loris has only been quantified via ecological niche modelling based on museum specimens and remotely derived environmental layers. We aimed to refine the modelled predictions and to verify the distribution of the Javan slow loris by collecting up-to-date occurrence data, which are fundamental for conservation and management of the species. Furthermore, we identify variables that predict its presence and give recommendations for future survey sites and conservation actions. From April to June 2012 we collected data on species presence, habitat preferences and levels of disturbance at priority sites throughout Java. We present a map of the predicted distribution of N. javanicus based on a maximum entropy model. We investigated habitat preferences using R (v. 2.14.1). During the study we sighted 52 lorises in 9 out of 14 investigated areas. The amount of bamboo in a forest had a positive effect on the encounter rates. Furthermore, we made 86 % of sightings in forest plantations and agricultural areas located outside protected areas, with the majority located in areas with measured high levels of disturbance. We suggest that further ecological studies are needed to understand if and why densities may be higher in anthropogenically disturbed areas.
机译:爪哇慢懒猴Nycticebus javanicus受栖息地减少的威胁,在IUCN红色名录中被列为极度濒危。仍然缺乏有关其分布和栖息地偏好的信息,到目前为止,爪哇慢懒猴的分布仅通过基于博物馆标本和远距离环境层的生态位建模得以量化。我们旨在通过收集最新的发生数据来完善建模的预测并验证爪哇慢虱的分布,这对于保护和管理该物种至关重要。此外,我们识别出可预测其存在的变量,并为将来的调查地点和保护行动提供建议。从2012年4月至2012年6月,我们收集了有关整个爪哇岛优先物种的物种存在,栖息地偏好和干扰程度的数据。我们提出了基于最大熵模型的爪哇猪笼草的预测分布图。我们使用R(v。2.14.1)调查了栖息地偏好。在研究过程中,我们在14个调查区域中的9个中发现了52个鹦鹉。森林中的竹子数量对接触率有积极影响。此外,我们在保护区外的森林种植园和农业地区目睹了86%的目击事件,其中大多数位于受到严重干扰的地区。我们建议需要进一步的生态学研究,以了解在人为干扰地区是否以及为什么密度更高。

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