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Type: Journal article
Title: High-resolution distribution modeling of a threatened short-range endemic plant informed by edaphic factors
Author: Tomlinson, S.
Lewandrowski, W.
Elliott, C.P.
Miller, B.P.
Turner, S.R.
Citation: Ecology and Evolution, 2020; 10(2):763-777
Publisher: Wiley
Issue Date: 2020
ISSN: 2045-7758
Statement of
Sean Tomlinson, Wolfgang Lewandrowski, Carole P. Elliott, Ben P. Miller, Shane R. Turner
Abstract: 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.
Keywords: Ricinocarpos brevis; banded ironstone formation; conservation biology; rare species; soil water potential; species distribution modeling
Rights: © 2019 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
RMID: 1000018344
DOI: 10.1002/ece3.5933
Grant ID:
Appears in Collections:Environment Institute publications

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