Ron A. FernándezUniversidad Veracruzana | UV · Instituto de Neuroetología
Ron A. Fernández
Ph.D. (Animal Behaviour & Neuroscience)
Looking for collaborators and postdoc positions to explore patterns of acoustic and visual signal evolution in animals
About
14
Publications
2,877
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12
Citations
Citations since 2017
Introduction
Vocal geographic variation and neuroethological responses to divergence in acoustic signals
Publications
Publications (14)
Global-scope scientific journals have played an important role in upholding a colonial legacy of north-south inequities in ornithology, and they now have a key role to play in increasing equity in scientific publishing. We explore common barriers faced by ornithologists in the Neotropics (Latin America and the Caribbean) and suggest priority action...
We explored the relationship between haemosporidian infection (infected vs. uninfected), parasite load, Heterophil‐Lymphocyte ratio, body condition, and vocal behaviour of the Rufous‐naped Wren Campylorhynchus rufinucha. Our results, albeit based on a small sample size, showed no evidence of an association between vocal behaviour and infection stat...
Available at
http://revista925taxco.fad.unam.mx/index.php/2022/08/05/el-pretexto-creativo-el-circuito/
Recientemente, como neurocientífico inquieto y artista amateur, tomé el reto de participar en un concurso nacional de diseño de joyería. La experiencia
fue placentera desde tres aristas, la concepción de la idea, la ejecución gráfica, y la
int...
We provide a complete dataset of bird specimens of the zoological collection at the Universidad de Nariño, Colombia. For every specimen, we reviewed taxonomic identifications to species level by applying curatorial procedures, including the comparison of skins, the use of taxonomic keys and primary literature, and by confirming georeferenced locali...
Con el objetivo de evaluar la asociación entre las vocalizaciones y los comportamientos del cacique montano norteño (Cacicus chrysonotus leucoramphus), se tomaron registros acústicos y conductuales de la especie en cuatro localidades de los Andes de Nariño, en el sur de Colombia. Se registraron seis tipos de vocalizaciones asociadas a por lo menos...
Birdsongs are signals that encode information for multiple behaviours such as species recognition. Species recognition is influenced by both geographical variation in song and birds' discrimination abilities, forming the basis for evolutionary processes driving reproductive isolation and speciation. Here, we assessed the behavioural responses to ge...
Phenotypic traits such as songs are important in species recognition. Variation in acoustic traits can form barriers to gene flow and promote speciation. Therefore, understanding song divergence is crucial in groups with controversial taxonomy such as Olive Sparrows (Arremonops rufivirgatus), a widespread Neotropical species of songbird with multip...
La biodiversidad es como una fotografía que cuenta historias de miles o millones de años; aunque no es estática, en el pasado cambió, en nuestros días cambia continuamente y lo seguirá haciendo en el futuro. Aunque las principales causas de estos cambios están relacionadas con procesos evolutivos, como las mutaciones y el intercambio genético; acti...
Many Andean and Amazonian species mix up in the Andean-amazonian foothills due to their topography and historical biogeography, explaining its extraordinary bird species richness made up from 404 amazonian and 668 Andean species (16.58% and 27.24% of these are endangered respectively). This study evaluates the avifauna of two regions located in Nar...
During 2008-2011, we conducted systematic avifaunal inventories in five localities in the Pacific, Andean and Amazon regions of the Nariño department, Colombia. Of the species registered, we report new and important distribution information for 10 species. We recorded, using visual and photographic observations, one new species and subspecies for C...
Questions
Questions (2)
I performed a Linear Mixed Model, I fit the model with significant effects of IV(continuous), I would like to show graphically my results in a scatterplot. But I am not sure if I should plot raw data (Y~X) or (predicted~X). I think that Y~X plot does not consider my design with random effects (that was a reason to select an LMMs), so I believe that use the predicted values could be the more appropriate.
I have multiple variables to be analiced by a PCA. But some of this variables are derived measurement from the other variables. for example I have the following variables (1) number of events, (2) duration of the event, and my derived variable (3) rate (that is equal to division : 2 / 1 ). It is appropiate used all the variables in the PCA or I should avoid to use these derived variables?
Projects
Projects (3)
Explore the neural basis of behaviour of birds in Neotropics
Understand the evolution and function of sensory systems (vision and audition) in Neotropical birds
Study the relationship of the environment with the vocal variation in songbirds
Assess the changes in the diversity in elevational gradients and the changes in the acoustic communication in birds and bats
Assess the factors related with the evolution and divergence in vocalization in Neotropical sparrows
