Mapping habitat suitability for the Eastern Black Rail throughout its Atlantic coastal range using maximum entropy (MaxEnt)

Modeling a species' distribution can be a powerful tool for predicting the location of additional habitat. Identifying suitable habitat is of critical importance for data-deficient species of conservation concern. The Black Rail (Laterallus jamaicensis), a small marsh bird, is listed as globall...

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Autores principales:	Amberly A. Neice, Susan B. McRae
Formato:	article
Lenguaje:	EN
Publicado:	Resilience Alliance 2021
Materias:	bird conservation citizen science ecological niche model marshbird rallidae species distribution Plant culture SB1-1110 Environmental sciences GE1-350 Plant ecology QK900-989
Acceso en línea:	https://doaj.org/article/36a8ae8c7f864def863f1fab6a5ea929
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spelling	oai:doaj.org-article:36a8ae8c7f864def863f1fab6a5ea9292021-11-15T16:40:15ZMapping habitat suitability for the Eastern Black Rail throughout its Atlantic coastal range using maximum entropy (MaxEnt)1712-6568https://doaj.org/article/36a8ae8c7f864def863f1fab6a5ea9292021-06-01T00:00:00Zhttps://www.ace-eco.org/vol16/iss1/art23/https://doaj.org/toc/1712-6568Modeling a species' distribution can be a powerful tool for predicting the location of additional habitat. Identifying suitable habitat is of critical importance for data-deficient species of conservation concern. The Black Rail (Laterallus jamaicensis), a small marsh bird, is listed as globally endangered. We created a habitat suitability model for the eastern subspecies focusing on the Atlantic coastal plain using eBird data contributed by citizen scientists and environmental data from the Esri databank using a maximum entropy model framework. The map generated from the model indicated habitat suitability in areas known for Black Rail occupation and predicted other suitable sites. Environmental factors that best predicted Black Rail presence were flooded areas with shrub and herbaceous vegetation, proximity to water, and flat plains. These environmental associations were congruent with characteristics of high marsh, emphasizing its importance for the species. Black Rails have been found to occupy this habitat type in the coastal part of their range. Habitat association studies conducted in other parts of the species' range that focused on smaller areas and used presence/absence survey data collected via species-targeted callback surveys identified similar habitat characteristics. Our habitat suitability model thus adds to a growing list of studies using distribution data from public databases with significant power to predict occupancy over a landscape scale. The map generated by this model will inform land management decisions and habitat restoration efforts.Amberly A. NeiceSusan B. McRaeResilience Alliancearticlebird conservationcitizen scienceecological niche modelmarshbirdrallidaespecies distributionPlant cultureSB1-1110Environmental sciencesGE1-350Plant ecologyQK900-989ENAvian Conservation and Ecology, Vol 16, Iss 1, p 23 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	bird conservation citizen science ecological niche model marshbird rallidae species distribution Plant culture SB1-1110 Environmental sciences GE1-350 Plant ecology QK900-989
spellingShingle	bird conservation citizen science ecological niche model marshbird rallidae species distribution Plant culture SB1-1110 Environmental sciences GE1-350 Plant ecology QK900-989 Amberly A. Neice Susan B. McRae Mapping habitat suitability for the Eastern Black Rail throughout its Atlantic coastal range using maximum entropy (MaxEnt)
description	Modeling a species' distribution can be a powerful tool for predicting the location of additional habitat. Identifying suitable habitat is of critical importance for data-deficient species of conservation concern. The Black Rail (Laterallus jamaicensis), a small marsh bird, is listed as globally endangered. We created a habitat suitability model for the eastern subspecies focusing on the Atlantic coastal plain using eBird data contributed by citizen scientists and environmental data from the Esri databank using a maximum entropy model framework. The map generated from the model indicated habitat suitability in areas known for Black Rail occupation and predicted other suitable sites. Environmental factors that best predicted Black Rail presence were flooded areas with shrub and herbaceous vegetation, proximity to water, and flat plains. These environmental associations were congruent with characteristics of high marsh, emphasizing its importance for the species. Black Rails have been found to occupy this habitat type in the coastal part of their range. Habitat association studies conducted in other parts of the species' range that focused on smaller areas and used presence/absence survey data collected via species-targeted callback surveys identified similar habitat characteristics. Our habitat suitability model thus adds to a growing list of studies using distribution data from public databases with significant power to predict occupancy over a landscape scale. The map generated by this model will inform land management decisions and habitat restoration efforts.
format	article
author	Amberly A. Neice Susan B. McRae
author_facet	Amberly A. Neice Susan B. McRae
author_sort	Amberly A. Neice
title	Mapping habitat suitability for the Eastern Black Rail throughout its Atlantic coastal range using maximum entropy (MaxEnt)
title_short	Mapping habitat suitability for the Eastern Black Rail throughout its Atlantic coastal range using maximum entropy (MaxEnt)
title_full	Mapping habitat suitability for the Eastern Black Rail throughout its Atlantic coastal range using maximum entropy (MaxEnt)
title_fullStr	Mapping habitat suitability for the Eastern Black Rail throughout its Atlantic coastal range using maximum entropy (MaxEnt)
title_full_unstemmed	Mapping habitat suitability for the Eastern Black Rail throughout its Atlantic coastal range using maximum entropy (MaxEnt)
title_sort	mapping habitat suitability for the eastern black rail throughout its atlantic coastal range using maximum entropy (maxent)
publisher	Resilience Alliance
publishDate	2021
url	https://doaj.org/article/36a8ae8c7f864def863f1fab6a5ea929
work_keys_str_mv	AT amberlyaneice mappinghabitatsuitabilityfortheeasternblackrailthroughoutitsatlanticcoastalrangeusingmaximumentropymaxent AT susanbmcrae mappinghabitatsuitabilityfortheeasternblackrailthroughoutitsatlanticcoastalrangeusingmaximumentropymaxent
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Mapping habitat suitability for the Eastern Black Rail throughout its Atlantic coastal range using maximum entropy (MaxEnt)

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