Ecological niche modeling the potential geographic distribution of four Culicoides species of veterinary significance in Florida, USA.

Epizootic hemorrhagic disease (EHD) is a viral arthropod-borne disease affecting wild and domestic ruminants, caused by infection with epizootic hemorrhagic disease virus (EHDV). EHDV is transmitted to vertebrate animal hosts by biting midges in the genus Culicoides Latreille (Diptera: Ceratopogonid...

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Main Authors: Kristin E Sloyer, Nathan D Burkett-Cadena, Anni Yang, Joseph L Corn, Stacey L Vigil, Bethany L McGregor, Samantha M Wisely, Jason K Blackburn
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0206648
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spelling doaj-95ab08bdec724d48ab630f77e6a931522021-03-03T20:52:52ZengPublic Library of Science (PLoS)PLoS ONE1932-62032019-01-01142e020664810.1371/journal.pone.0206648Ecological niche modeling the potential geographic distribution of four Culicoides species of veterinary significance in Florida, USA.Kristin E SloyerNathan D Burkett-CadenaAnni YangJoseph L CornStacey L VigilBethany L McGregorSamantha M WiselyJason K BlackburnEpizootic hemorrhagic disease (EHD) is a viral arthropod-borne disease affecting wild and domestic ruminants, caused by infection with epizootic hemorrhagic disease virus (EHDV). EHDV is transmitted to vertebrate animal hosts by biting midges in the genus Culicoides Latreille (Diptera: Ceratopogonidae). Culicoides sonorensis Wirth and Jones is the only confirmed vector of EHDV in the United States but is considered rare in Florida and not sufficiently abundant to support EHDV transmission. This study used ecological niche modeling to map the potential geographical distributions and associated ecological variable space of four Culicoides species suspected of transmitting EHDV in Florida, including Culicoides insignis Lutz, Culicoides stellifer (Coquillett), Culicoides debilipalpis Hoffman and Culicoides venustus Lutz. Models were developed with the Genetic Algorithm for Rule Set Production in DesktopGARP v1.1.3 using species occurrence data from field sampling along with environmental variables from WorldClim and Trypanosomiasis and Land use in Africa. For three Culicoides species (C. insignis, C. stellifer and C. debilipalpis) 96-98% of the presence points were predicted across the Florida landscape (63.8% - 72.5%). For C. venustus, models predicted 98.00% of presence points across 27.4% of Florida. Geographic variations were detected between species. Culicoides insignis was predicted to be restricted to peninsular Florida, and in contrast, C. venustus was predicted to be primarily in north Florida and the panhandle region. Culicoides stellifer and C. debilipalpis were predicted nearly statewide. Environmental conditions also differed by species, with some species' ranges predicted by more narrow ranges of variables than others. The Normalized Difference Vegetation Index (NDVI) was a major predictor of C. venustus and C. insignis presence. For C. stellifer, Land Surface Temperature, Middle Infrared were the most limiting predictors of presence. The limiting variables for C. debilipalpis were NDVI Bi-Annual Amplitude and NDVI Annual Amplitude at 22.5% and 28.1%, respectively. The model outputs, including maps and environmental variable range predictions generated from these experiments provide an important first pass at predicting species of veterinary importance in Florida. Because EHDV cannot exist in the environment without the vector, model outputs can be used to estimate the potential risk of disease for animal hosts across Florida. Results also provide distribution and habitat information useful for integrated pest management practices.https://doi.org/10.1371/journal.pone.0206648
collection DOAJ
language English
format Article
sources DOAJ
author Kristin E Sloyer
Nathan D Burkett-Cadena
Anni Yang
Joseph L Corn
Stacey L Vigil
Bethany L McGregor
Samantha M Wisely
Jason K Blackburn
spellingShingle Kristin E Sloyer
Nathan D Burkett-Cadena
Anni Yang
Joseph L Corn
Stacey L Vigil
Bethany L McGregor
Samantha M Wisely
Jason K Blackburn
Ecological niche modeling the potential geographic distribution of four Culicoides species of veterinary significance in Florida, USA.
PLoS ONE
author_facet Kristin E Sloyer
Nathan D Burkett-Cadena
Anni Yang
Joseph L Corn
Stacey L Vigil
Bethany L McGregor
Samantha M Wisely
Jason K Blackburn
author_sort Kristin E Sloyer
title Ecological niche modeling the potential geographic distribution of four Culicoides species of veterinary significance in Florida, USA.
title_short Ecological niche modeling the potential geographic distribution of four Culicoides species of veterinary significance in Florida, USA.
title_full Ecological niche modeling the potential geographic distribution of four Culicoides species of veterinary significance in Florida, USA.
title_fullStr Ecological niche modeling the potential geographic distribution of four Culicoides species of veterinary significance in Florida, USA.
title_full_unstemmed Ecological niche modeling the potential geographic distribution of four Culicoides species of veterinary significance in Florida, USA.
title_sort ecological niche modeling the potential geographic distribution of four culicoides species of veterinary significance in florida, usa.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2019-01-01
description Epizootic hemorrhagic disease (EHD) is a viral arthropod-borne disease affecting wild and domestic ruminants, caused by infection with epizootic hemorrhagic disease virus (EHDV). EHDV is transmitted to vertebrate animal hosts by biting midges in the genus Culicoides Latreille (Diptera: Ceratopogonidae). Culicoides sonorensis Wirth and Jones is the only confirmed vector of EHDV in the United States but is considered rare in Florida and not sufficiently abundant to support EHDV transmission. This study used ecological niche modeling to map the potential geographical distributions and associated ecological variable space of four Culicoides species suspected of transmitting EHDV in Florida, including Culicoides insignis Lutz, Culicoides stellifer (Coquillett), Culicoides debilipalpis Hoffman and Culicoides venustus Lutz. Models were developed with the Genetic Algorithm for Rule Set Production in DesktopGARP v1.1.3 using species occurrence data from field sampling along with environmental variables from WorldClim and Trypanosomiasis and Land use in Africa. For three Culicoides species (C. insignis, C. stellifer and C. debilipalpis) 96-98% of the presence points were predicted across the Florida landscape (63.8% - 72.5%). For C. venustus, models predicted 98.00% of presence points across 27.4% of Florida. Geographic variations were detected between species. Culicoides insignis was predicted to be restricted to peninsular Florida, and in contrast, C. venustus was predicted to be primarily in north Florida and the panhandle region. Culicoides stellifer and C. debilipalpis were predicted nearly statewide. Environmental conditions also differed by species, with some species' ranges predicted by more narrow ranges of variables than others. The Normalized Difference Vegetation Index (NDVI) was a major predictor of C. venustus and C. insignis presence. For C. stellifer, Land Surface Temperature, Middle Infrared were the most limiting predictors of presence. The limiting variables for C. debilipalpis were NDVI Bi-Annual Amplitude and NDVI Annual Amplitude at 22.5% and 28.1%, respectively. The model outputs, including maps and environmental variable range predictions generated from these experiments provide an important first pass at predicting species of veterinary importance in Florida. Because EHDV cannot exist in the environment without the vector, model outputs can be used to estimate the potential risk of disease for animal hosts across Florida. Results also provide distribution and habitat information useful for integrated pest management practices.
url https://doi.org/10.1371/journal.pone.0206648
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