Estimating geographic patterns of ophidism risk in Ecuador
The species richness of venomous snakes in Ecuador (~39 species) is among the highest in the world. However, until now no information exists regarding geographic patterns of ophidism. In this study, we present a detailed spatial snakebite risk map which was built by stacking weighted ecological nich...
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2018-11-01
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Series: | Neotropical Biodiversity |
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Online Access: | http://dx.doi.org/10.1080/23766808.2018.1454762 |
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doaj-af6b373e1d064e8499e5a496c2e064002020-11-24T21:52:51ZengTaylor & Francis GroupNeotropical Biodiversity2376-68082018-11-0141556110.1080/23766808.2018.14547621454762Estimating geographic patterns of ophidism risk in EcuadorCarlos Yañez-Arenas0Luis Díaz-Gamboa1Carlos Patrón-Rivero2Kevin López-Reyes3Xavier Chiappa-Carrara4Universidad Nacional Autónoma de MéxicoUniversidad Nacional Autónoma de MéxicoUniversidad Nacional Autónoma de MéxicoUniversidad Nacional Autónoma de MéxicoUniversidad Nacional Autónoma de MéxicoThe species richness of venomous snakes in Ecuador (~39 species) is among the highest in the world. However, until now no information exists regarding geographic patterns of ophidism. In this study, we present a detailed spatial snakebite risk map which was built by stacking weighted ecological niche models of the 19 snake species responsible for the majority of Ecuador’s envenomation cases. Our weights were based on the proportion of cases reported for each species on local epidemiological studies. Based on our analyses, we identify 184 densely populated rural communities with high snakebite risk that should be monitored by health organizations. We also identified three densely populated rural locations (Palora Metzera, Sangay and Shell) that may require special attention because they had much higher snakebite risk values than the rest.http://dx.doi.org/10.1080/23766808.2018.1454762SnakebitesEcuadorophidismcorrelative ecological niche models |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Carlos Yañez-Arenas Luis Díaz-Gamboa Carlos Patrón-Rivero Kevin López-Reyes Xavier Chiappa-Carrara |
spellingShingle |
Carlos Yañez-Arenas Luis Díaz-Gamboa Carlos Patrón-Rivero Kevin López-Reyes Xavier Chiappa-Carrara Estimating geographic patterns of ophidism risk in Ecuador Neotropical Biodiversity Snakebites Ecuador ophidism correlative ecological niche models |
author_facet |
Carlos Yañez-Arenas Luis Díaz-Gamboa Carlos Patrón-Rivero Kevin López-Reyes Xavier Chiappa-Carrara |
author_sort |
Carlos Yañez-Arenas |
title |
Estimating geographic patterns of ophidism risk in Ecuador |
title_short |
Estimating geographic patterns of ophidism risk in Ecuador |
title_full |
Estimating geographic patterns of ophidism risk in Ecuador |
title_fullStr |
Estimating geographic patterns of ophidism risk in Ecuador |
title_full_unstemmed |
Estimating geographic patterns of ophidism risk in Ecuador |
title_sort |
estimating geographic patterns of ophidism risk in ecuador |
publisher |
Taylor & Francis Group |
series |
Neotropical Biodiversity |
issn |
2376-6808 |
publishDate |
2018-11-01 |
description |
The species richness of venomous snakes in Ecuador (~39 species) is among the highest in the world. However, until now no information exists regarding geographic patterns of ophidism. In this study, we present a detailed spatial snakebite risk map which was built by stacking weighted ecological niche models of the 19 snake species responsible for the majority of Ecuador’s envenomation cases. Our weights were based on the proportion of cases reported for each species on local epidemiological studies. Based on our analyses, we identify 184 densely populated rural communities with high snakebite risk that should be monitored by health organizations. We also identified three densely populated rural locations (Palora Metzera, Sangay and Shell) that may require special attention because they had much higher snakebite risk values than the rest. |
topic |
Snakebites Ecuador ophidism correlative ecological niche models |
url |
http://dx.doi.org/10.1080/23766808.2018.1454762 |
work_keys_str_mv |
AT carlosyanezarenas estimatinggeographicpatternsofophidismriskinecuador AT luisdiazgamboa estimatinggeographicpatternsofophidismriskinecuador AT carlospatronrivero estimatinggeographicpatternsofophidismriskinecuador AT kevinlopezreyes estimatinggeographicpatternsofophidismriskinecuador AT xavierchiappacarrara estimatinggeographicpatternsofophidismriskinecuador |
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