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

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 (Eup...

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Main Authors: Sean Tomlinson, Wolfgang Lewandrowski, Carole P. Elliott, Ben P. Miller, Shane R. Turner
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Ecology and Evolution
Subjects:
Online Access:https://doi.org/10.1002/ece3.5933
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spelling doaj-7424af17ff8f445690f338a685f8d6aa2021-04-02T05:48:12ZengWileyEcology and Evolution2045-77582020-01-0110276377710.1002/ece3.5933High‐resolution distribution modeling of a threatened short‐range endemic plant informed by edaphic factorsSean Tomlinson0Wolfgang Lewandrowski1Carole P. Elliott2Ben P. Miller3Shane R. Turner4School of Molecular & Life Sciences Curtin University Perth WA AustraliaKings Park Science Department of Biodiversity, Conservation and Attractions West Perth WA AustraliaKings Park Science Department of Biodiversity, Conservation and Attractions West Perth WA AustraliaKings Park Science Department of Biodiversity, Conservation and Attractions West Perth WA AustraliaSchool of Molecular & Life Sciences Curtin University Perth WA AustraliaAbstract 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.https://doi.org/10.1002/ece3.5933banded ironstone formationconservation biologyrare speciesRicinocarpos brevissoil water potentialspecies distribution modeling
collection DOAJ
language English
format Article
sources DOAJ
author Sean Tomlinson
Wolfgang Lewandrowski
Carole P. Elliott
Ben P. Miller
Shane R. Turner
spellingShingle Sean Tomlinson
Wolfgang Lewandrowski
Carole P. Elliott
Ben P. Miller
Shane R. Turner
High‐resolution distribution modeling of a threatened short‐range endemic plant informed by edaphic factors
Ecology and Evolution
banded ironstone formation
conservation biology
rare species
Ricinocarpos brevis
soil water potential
species distribution modeling
author_facet Sean Tomlinson
Wolfgang Lewandrowski
Carole P. Elliott
Ben P. Miller
Shane R. Turner
author_sort Sean Tomlinson
title 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_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_sort high‐resolution distribution modeling of a threatened short‐range endemic plant informed by edaphic factors
publisher Wiley
series Ecology and Evolution
issn 2045-7758
publishDate 2020-01-01
description 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.
topic banded ironstone formation
conservation biology
rare species
Ricinocarpos brevis
soil water potential
species distribution modeling
url https://doi.org/10.1002/ece3.5933
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