Artículos de revistas
Development of the first georeferenced map of Rhipicephalus (Boophilus) spp. in Mexico from 1970 to date and prediction of its spatial distribution
Autor
ALCALA CANTO, YAZMIN; 214193
FIGUEROA CASTILLO, JUAN ANTONIO; 65074
IBARRA VELARDE, OSVALDO FROYLAN; 3620
VERA MONTENEGRO, REMEDIOS YOLANDA; 7041
CERVANTES VALENCIA, MARIA EUGENIA; 378283
Zeidan Mohamed Salem, Abdelfattah; 274697
CUELLAR ORDAZ, JORGE ALFREDO; 540136
ALCALA CANTO, YAZMIN
FIGUEROA CASTILLO, JUAN ANTONIO
IBARRA VELARDE, OSVALDO FROYLAN
VERA MONTENEGRO, REMEDIOS YOLANDA
CERVANTES VALENCIA, MARIA EUGENIA
Zeidan Mohamed Salem, Abdelfattah
CUELLAR ORDAZ, JORGE ALFREDO
Institución
Resumen
The tick genus Ripicephalus (Boophilus), particularly R. microplus, is one of the most important ectoparasites that affects livestock health and considered an epidemiological risk because it causes significant economic losses due, mainly, to restrictions in the export of infested animals to several countries. Its spatial distribution has been tied to environmental factors, mainly warm temperatures and high relative humidity. In this work, we integrated a dataset consisting of 5843 records of Rhipicephalus spp., in Mexico covering close to 50 years to know which environmental variables mostly influence this ticks’ distribution. Occurrences were georeferenced using the software DIVA-GIS and the potential current distribution was modelled using the maximum entropy method (Maxent). The algorithm generated a map of high predictive capability (Area under the curve = 0.942), providing the various contribution and permutation importance of the tested variables. Precipitation seasonality, particularly in March, and isothermality were found to be the most significant climate variables in determining the probability of spatial distribution of Rhipicephalus spp. in Mexico (15.7%, 36.0% and 11.1%, respectively). Our findings demonstrate that Rhipicephalus has colonized Mexico widely, including areas characterized by different types of climate. We conclude that the Maxent distribution model using Rhipicephalus records and a set of environmental variables can predict the extent of the tick range in this country, information that should support the development of integrated control strategies.