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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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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. |
format | Online Article Text |
id | pubmed-6988535 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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