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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Autores principales:	Sean Tomlinson, Wolfgang Lewandrowski, Carole P. Elliott, Ben P. Miller, Shane R. Turner
Formato:	article
Lenguaje:	EN
Publicado:	Wiley 2020
Materias:	banded ironstone formation conservation biology rare species Ricinocarpos brevis soil water potential species distribution modeling Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/7424af17ff8f445690f338a685f8d6aa
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spelling	oai:doaj.org-article:7424af17ff8f445690f338a685f8d6aa2021-11-04T13:06:09ZHigh‐resolution distribution modeling of a threatened short‐range endemic plant informed by edaphic factors2045-775810.1002/ece3.5933https://doaj.org/article/7424af17ff8f445690f338a685f8d6aa2020-01-01T00:00:00Zhttps://doi.org/10.1002/ece3.5933https://doaj.org/toc/2045-7758Abstract 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.Sean TomlinsonWolfgang LewandrowskiCarole P. ElliottBen P. MillerShane R. TurnerWileyarticlebanded ironstone formationconservation biologyrare speciesRicinocarpos brevissoil water potentialspecies distribution modelingEcologyQH540-549.5ENEcology and Evolution, Vol 10, Iss 2, Pp 763-777 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	banded ironstone formation conservation biology rare species Ricinocarpos brevis soil water potential species distribution modeling Ecology QH540-549.5
spellingShingle	banded ironstone formation conservation biology rare species Ricinocarpos brevis soil water potential species distribution modeling Ecology QH540-549.5 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
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.
format	article
author	Sean Tomlinson Wolfgang Lewandrowski Carole P. Elliott Ben P. Miller Shane R. Turner
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
publishDate	2020
url	https://doaj.org/article/7424af17ff8f445690f338a685f8d6aa
work_keys_str_mv	AT seantomlinson highresolutiondistributionmodelingofathreatenedshortrangeendemicplantinformedbyedaphicfactors AT wolfganglewandrowski highresolutiondistributionmodelingofathreatenedshortrangeendemicplantinformedbyedaphicfactors AT carolepelliott highresolutiondistributionmodelingofathreatenedshortrangeendemicplantinformedbyedaphicfactors AT benpmiller highresolutiondistributionmodelingofathreatenedshortrangeendemicplantinformedbyedaphicfactors AT shanerturner highresolutiondistributionmodelingofathreatenedshortrangeendemicplantinformedbyedaphicfactors
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High‐resolution distribution modeling of a threatened short‐range endemic plant informed by edaphic factors

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