Potential risk of Batrachochytrium salamandrivorans in Mexico

Basanta, M. Delia; Rebollar, Eria A.; Olea, Gabriela Parra

doi:10.1371/journal.pone.0211960

Cited by 24 publications

(42 citation statements)

References 48 publications

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“…The fine-tuned MaxEnt models were made by finding the lowest delta value of Akaike’s information criterion corrected for small sample sizes (AICc) among candidate models, which reflects both models, goodness-of-fit and complexity, providing the most conservative results ( Basanta, Rebollar & Parra-Olea, 2019 ) ( Table 1 ). Using the R package ntbox ( Osorio-Olvera et al., 2020 ), a ROC (Receiver Operating Characteristic) was estimated to assess the performance of the model ( Peterson, Papes & Sober, 2008 ).…”

Section: Methodsmentioning

confidence: 99%

Influence of montane altitudinal ranges on species distribution models; evidence in Andean blow flies

Altamiranda‐Saavedra

Amat

Gómez-P

2020

PeerJ

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Background Blow flies are a family of dipterans of medical, veterinary and sanitary importance. We aim to predict the current geographical distribution of six neotropical blowfly species with different altitudinal ranges of distribution (high, medium, and lowlands) and degree of synanthropy (eusynanthropic, hemisynanthropic and asynanthropic) based on their existing fundamental niche (EA) in Northwestern South America. Methods Geographical records were compiled based on data from museum specimens and literature. The accessible area hypothesis (M) was calculated based on three criteria: (1) Altitudinal range, (2) Synanthropy values deducted based on the Human Influence Index (HII) raster dataset, and (3). The mean dispersal capability of flies. The modeling was performed using the Maxent entropy modeling software. The selection of parameters was made with the R Program ENMeval package. Results The models were assessed using the area under the operator-partial receiver curve (ROCp). The high statistical performance was evidenced in every modeling prediction. The modeling allowed identifying possible taxonomic inaccuracies and the lack of exhaustive collection in the field, especially for lowlands species. Geographical distribution predicted by the modeling and empirical data was remarkably coherent in montane species. Discussion The data obtained evidence that montane elevational ranges affect the performance of the distribution models. These models will allow a more precise predicting of medium and high elevation blow flies than lowlands species. Montane species modeling will accurately predict the fly occurrence to use such biological information for medical, legal, veterinary, and conservation purposes.

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Section: Methodsmentioning

confidence: 99%

Influence of montane altitudinal ranges on species distribution models; evidence in Andean blow flies

Altamiranda‐Saavedra

Amat

Gómez-P

2020

PeerJ

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“…We set the RM range from 0.5 to 4.0, with increments of 0.5, and employed three FCs, i.e., linear (L); linear and quadratic (LQ); linear, quadratic and product (LQP); linear, quadratic, product and threshold (LQPT); linear, quadratic, product threshold and hinge (LQPTH), resulting in 45 possible combinations of features and regularization multipliers (Muscarella et al 2014). The fine-tuned MaxEnt models were made by seeking the lowest delta value of Akaike's information criterion, which was corrected for small sample sizes (AICc) among the candidate models, reflecting both model goodness-of-fit and complexity to provide the most conservative results (Basanta et al 2019). We selected a model with the lowest delta AICc score, which had a parametrization of regularization multiplier of 2.0 and an LQHP feature combination; it exhibited good predictive performance.…”

Section: Model Designmentioning

confidence: 99%

Changes in the potential distribution of the guava fruit flyAnastrepha striata(Diptera, Tephritidae) during the current and possible future climate scenarios in Colombia

Amat

Altamiranda‐Saavedra

Canal

et al. 2020

Preprint

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Climate change has affected the geographical distributions of most species worldwide; in particular, insects of economic importance inhabiting tropical regions have been impacted. Current and future predictions of change in geographic distribution are frequently included in species distribution models (SDMs). The potential spatial distributions of the fruit fly Anastrepha striata Schiner (the main species of agricultural importance in guava crops) under current and possible future scenarios in Colombia were modeled, and the establishment risk was assessed for each guava-producing municipality in the country. The SDMs were developed using 221 geographical records in conjunctuin with nine scenopoetic variables. The model for current climate conditions indicated an extensive suitable area for the establishment of A. striata in the Andean region, smaller areas in the Caribbean and Pacific, and almost no areas in the Orinoquia and Amazonian regions. A brief discussion regarding the area suitability for the fly is offered. The expansion of the suitable area was observed in all future scenarios; moreover, this effect was more pronounced in the Amazonian region. The Colombian guava-producing municipalities were classified according to the degree of vulnerability to the fly establishment as follows: 42 were high-risk, 16 were intermediate-risk, and 17 were low-risk. The implementation of future integrated management plans must include optimal spatial data and must consider environmental aspects, such as those suggested by the models presented here. Control decisions should aim to mitigate the positive relationship between global warming and the increase in the dispersal area of the fruit fly.

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“…Una de las herramientas utilizadas para detectar las áreas con mayor idoneidad para el crecimiento de estos patógenos ha sido el uso de modelos de nicho ecológico a partir de la información de variables de temperatura y precipitación obtenida de sus presencias (Ron, 2005;Yap et al, 2015;Richgels et al, 2016;Katz & Zellmer, 2018;Basanta et al, 2019). Estos modelos pueden ser utilizados para la prevención y mitigación en áreas de posible riesgo, teniendo en cuenta no sólo la distribución del patógeno, sino también la de sus posibles hospederos.…”

Section: Variables Ambientales: Efecto De La Temperatura Y Humedadunclassified

“…La introducción de Bsal a nuevas áreas como nueva enfermedad emergente representa un gran riesgo para la biodiversidad. México presenta una alta diversidad de anfibios y más del 50% de las especies de salamandras se encuentran en áreas idóneas para el establecimiento de este patógeno (Basanta et al, 2019). La inmediata aplicación de medidas de conservación para evitar su introducción y transmisión entre poblaciones, así como el control y la prohibición de la importación de anfibios oriundos de Europa y Asia, son las medidas más urgentes que deben realizarse con el fin de prevenir la introducción de este patógeno a México.…”

Section: Futuras Direccionesunclassified

Ecología y evolución de enfermedades emergentes en anfibios: una revisión de ranavirus y quitridiomicosis

Basanta¹

2019

Rev Latin Herp

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Las enfermedades infecciosas emergentes son una de las principales causas en el declive de especies de anfibios a nivel global. Estas enfermedades son causadas por patógenos que pueden ampliar rápidamente su rango geográfico y de hospedadores, convirtiéndose en epidémicas. Enfermedades emergentes de anfibios como ranavirus y quitridiomicosis, han ocasionado grandes declives en poblaciones del mundo, donde factores ecológicos y evolutivos están implicados tanto en su emergencia como en la variación en la susceptibilidad de las especies. En este trabajo se presenta una revisión de las enfermedades ranavirus y quitridiomicosis, en relación a los factores ecológicos y evolutivos que caracterizan a estas infecciones, sus efectos sobre las poblaciones de anfibios a nivel mundial, y la posible aplicación de medidas de prevención y conservación.

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Potential risk of Batrachochytrium salamandrivorans in Mexico

Cited by 24 publications

References 48 publications

Influence of montane altitudinal ranges on species distribution models; evidence in Andean blow flies

Influence of montane altitudinal ranges on species distribution models; evidence in Andean blow flies

Changes in the potential distribution of the guava fruit flyAnastrepha striata(Diptera, Tephritidae) during the current and possible future climate scenarios in Colombia

Ecología y evolución de enfermedades emergentes en anfibios: una revisión de ranavirus y quitridiomicosis

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