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

1. Short‐range endemic plants often have edaphic specializations that, with their restricted distributions, expose them to increased risk of anthropogenic extinction. 2. Here, we present a modeling approach to understand habitat suitability for Ricinocarpos brevis R.J.F.Hend. & Mollemans (Euphor...

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Autores principales: Tomlinson, Sean, Lewandrowski, Wolfgang, Elliott, Carole P., Miller, Ben P., Turner, Shane R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6988535/
https://www.ncbi.nlm.nih.gov/pubmed/32015842
http://dx.doi.org/10.1002/ece3.5933
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author Tomlinson, Sean
Lewandrowski, Wolfgang
Elliott, Carole P.
Miller, Ben P.
Turner, Shane R.
author_facet Tomlinson, Sean
Lewandrowski, Wolfgang
Elliott, Carole P.
Miller, Ben P.
Turner, Shane R.
author_sort Tomlinson, Sean
collection PubMed
description 1. Short‐range endemic plants often have edaphic specializations that, with their restricted distributions, expose them to increased risk of anthropogenic extinction. 2. 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 m(2) (1 arc‐second) resolution. 3. 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. 4. 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.
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spelling pubmed-69885352020-02-03 High‐resolution distribution modeling of a threatened short‐range endemic plant informed by edaphic factors Tomlinson, Sean Lewandrowski, Wolfgang Elliott, Carole P. Miller, Ben P. Turner, Shane R. Ecol Evol Original Research 1. Short‐range endemic plants often have edaphic specializations that, with their restricted distributions, expose them to increased risk of anthropogenic extinction. 2. 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 m(2) (1 arc‐second) resolution. 3. 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. 4. 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. John Wiley and Sons Inc. 2019-12-15 /pmc/articles/PMC6988535/ /pubmed/32015842 http://dx.doi.org/10.1002/ece3.5933 Text en © 2019 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Tomlinson, Sean
Lewandrowski, Wolfgang
Elliott, Carole P.
Miller, Ben P.
Turner, Shane R.
High‐resolution distribution modeling of a threatened short‐range endemic plant informed by edaphic factors
title High‐resolution distribution modeling of a threatened short‐range endemic plant informed by edaphic factors
title_full High‐resolution distribution modeling of a threatened short‐range endemic plant informed by edaphic factors
title_fullStr High‐resolution distribution modeling of a threatened short‐range endemic plant informed by edaphic factors
title_full_unstemmed High‐resolution distribution modeling of a threatened short‐range endemic plant informed by edaphic factors
title_short High‐resolution distribution modeling of a threatened short‐range endemic plant informed by edaphic factors
title_sort high‐resolution distribution modeling of a threatened short‐range endemic plant informed by edaphic factors
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6988535/
https://www.ncbi.nlm.nih.gov/pubmed/32015842
http://dx.doi.org/10.1002/ece3.5933
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