Validating species distribution models to illuminate coastal fireflies in the South Pacific (Coleoptera: Lampyridae)

Abstract The coastal areas of Vanuatu are under a multitude of threats stemming from commercialization, human development, and climate change. Atyphella Olliff is a genus of firefly that includes species endemic to these coastal areas and will need protection. The research that has already been cond...

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Autores principales: Laura N. Sutherland, Gareth S. Powell, Seth M. Bybee
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/95024060fed848f39bacd7af89de380f
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spelling oai:doaj.org-article:95024060fed848f39bacd7af89de380f2021-12-02T16:38:48ZValidating species distribution models to illuminate coastal fireflies in the South Pacific (Coleoptera: Lampyridae)10.1038/s41598-021-96534-x2045-2322https://doaj.org/article/95024060fed848f39bacd7af89de380f2021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-96534-xhttps://doaj.org/toc/2045-2322Abstract The coastal areas of Vanuatu are under a multitude of threats stemming from commercialization, human development, and climate change. Atyphella Olliff is a genus of firefly that includes species endemic to these coastal areas and will need protection. The research that has already been conducted was affected by accessibility due to the remote nature of the islands which left numerous knowledge gaps caused by a lack of distributional data (e.g., Wallacean shortfall). Species distribution models (SDM) are a powerful tool that allow for the modeling of the broader distribution of a taxon, even with limited distributional data available. SDMs assist in filling the knowledge gap by predicting potential areas that could contain the species of interest, making targeted collecting and conservation efforts more feasible when time, resources, and accessibility are major limiting factors. Here a MaxEnt prediction was used to direct field collecting and we now provide an updated predictive distribution for this endemic firefly genus. The original model was validated with additional fieldwork, ultimately expanding the known range with additional locations first identified using MaxEnt. A bias analysis was also conducted, providing insight into the effect that developments such as roads and settlements have on collecting and therefore the SDM, ultimately allowing for a more critical assessment of the overall model. After demonstrating the accuracy of the original model, this new updated SDM can be used to identify specific areas that will need to be the target of future conservation efforts by local government officials.Laura N. SutherlandGareth S. PowellSeth M. BybeeNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Laura N. Sutherland
Gareth S. Powell
Seth M. Bybee
Validating species distribution models to illuminate coastal fireflies in the South Pacific (Coleoptera: Lampyridae)
description Abstract The coastal areas of Vanuatu are under a multitude of threats stemming from commercialization, human development, and climate change. Atyphella Olliff is a genus of firefly that includes species endemic to these coastal areas and will need protection. The research that has already been conducted was affected by accessibility due to the remote nature of the islands which left numerous knowledge gaps caused by a lack of distributional data (e.g., Wallacean shortfall). Species distribution models (SDM) are a powerful tool that allow for the modeling of the broader distribution of a taxon, even with limited distributional data available. SDMs assist in filling the knowledge gap by predicting potential areas that could contain the species of interest, making targeted collecting and conservation efforts more feasible when time, resources, and accessibility are major limiting factors. Here a MaxEnt prediction was used to direct field collecting and we now provide an updated predictive distribution for this endemic firefly genus. The original model was validated with additional fieldwork, ultimately expanding the known range with additional locations first identified using MaxEnt. A bias analysis was also conducted, providing insight into the effect that developments such as roads and settlements have on collecting and therefore the SDM, ultimately allowing for a more critical assessment of the overall model. After demonstrating the accuracy of the original model, this new updated SDM can be used to identify specific areas that will need to be the target of future conservation efforts by local government officials.
format article
author Laura N. Sutherland
Gareth S. Powell
Seth M. Bybee
author_facet Laura N. Sutherland
Gareth S. Powell
Seth M. Bybee
author_sort Laura N. Sutherland
title Validating species distribution models to illuminate coastal fireflies in the South Pacific (Coleoptera: Lampyridae)
title_short Validating species distribution models to illuminate coastal fireflies in the South Pacific (Coleoptera: Lampyridae)
title_full Validating species distribution models to illuminate coastal fireflies in the South Pacific (Coleoptera: Lampyridae)
title_fullStr Validating species distribution models to illuminate coastal fireflies in the South Pacific (Coleoptera: Lampyridae)
title_full_unstemmed Validating species distribution models to illuminate coastal fireflies in the South Pacific (Coleoptera: Lampyridae)
title_sort validating species distribution models to illuminate coastal fireflies in the south pacific (coleoptera: lampyridae)
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/95024060fed848f39bacd7af89de380f
work_keys_str_mv AT lauransutherland validatingspeciesdistributionmodelstoilluminatecoastalfirefliesinthesouthpacificcoleopteralampyridae
AT garethspowell validatingspeciesdistributionmodelstoilluminatecoastalfirefliesinthesouthpacificcoleopteralampyridae
AT sethmbybee validatingspeciesdistributionmodelstoilluminatecoastalfirefliesinthesouthpacificcoleopteralampyridae
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