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High‐resolution distribution modeling of a threatened short‐range endemic plant informed by edaphic factors

机译:高分辨率分布建模威胁威胁的短程流行植物因辅助因素而告知

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摘要

Short‐range endemic plants often have edaphic specializations that, with their restricted distributions, expose them to increased risk of anthropogenic extinction. Here, we present a modeling approach to understand habitat suitability for Ricinocarpos brevis R.J.F.Hend. & Mollemans (Euphorbiaceae), a threatened shrub confined to three isolated populations in the semi‐arid south‐west of Western Australia. The model is a maximum entropy species distribution projection constructed on the basis of physical soil characteristics and geomorphology data at approximately 25?m2 (1?arc‐second) resolution. The model predicts the species to occur on shallow, low bulk density soils that are located high in the landscape. The model shows high affinity (72.1% average likelihood of occurrence) for the known populations of R.?brevis, as well as identifying likely locations that are not currently known to support the species. There was a strong relationship between the likelihood of R.?brevis occurrence and soil moisture content that the model estimated at a depth of 20?cm. We advocate that our approach should be standardized using publicly available data to generate testable hypotheses for the distribution and conservation management of short‐range endemic plant species for all of continental Australia.
机译:短程流行植物往往具有仿拭子专业,与其限制的分布,将它们暴露于增加人为灭绝的风险。在这里,我们提出了一种了解Ricinocarpos Brevis R.J.F.hend的栖息地适用性的建模方法。 &Mollemans(Euphorbiaceae),受威胁的灌木限制在西澳大利亚西南部半干旱西南三个孤立的群体中。该模型是基于物理土壤特性和地貌数据构建的最大熵物种分布投影,在大约25Ωm2(1?秒)分辨率下。该模型预测了在景观中高浅,低堆积密度的土壤上发生的物种。该模型显示了R.?brevis的已知群体的高亲和力(平均可能性的平均可能性),以及识别目前未知支持物种的可能位置。 R.?Brevis的可能性与土壤湿度含量的可能性有着巨大的关系,该模型估计在20厘米的深度。我们倡导我们的方法应使用公开的数据标准化,以为所有澳大利亚大陆的短程流行植物物种的分销和保护管理产生可测试的假设。

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