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...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2020-01-01
|
Series: | Ecology and Evolution |
Subjects: | |
Online Access: | https://doi.org/10.1002/ece3.5933 |
id |
doaj-7424af17ff8f445690f338a685f8d6aa |
---|---|
record_format |
Article |
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 |
work_keys_str_mv |
AT seantomlinson highresolutiondistributionmodelingofathreatenedshortrangeendemicplantinformedbyedaphicfactors AT wolfganglewandrowski highresolutiondistributionmodelingofathreatenedshortrangeendemicplantinformedbyedaphicfactors AT carolepelliott highresolutiondistributionmodelingofathreatenedshortrangeendemicplantinformedbyedaphicfactors AT benpmiller highresolutiondistributionmodelingofathreatenedshortrangeendemicplantinformedbyedaphicfactors AT shanerturner highresolutiondistributionmodelingofathreatenedshortrangeendemicplantinformedbyedaphicfactors |
_version_ |
1714732231070580736 |