Effective dispersal and genetic structure of a small mammal in an intensively managed agricultural landscape: is there any barrier to movement?

Registro completo

Título

Effective dispersal and genetic structure of a small mammal in an intensively managed agricultural landscape: is there any barrier to movement?

Autor(es)

Chiappero, Marina B.; Vera, Noelia S.; Sommaro, Lucia V.; Simone, Ivana; Steinmann, Andrea R.; Gardenal, Cristina N.; Priotto, José W.

Afiliación(es) del/de los autor(es)

Chiappero, Marina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Diversidad y Ecología Animal; Argentina.
Chiappero, Marina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Cátedra de Genética de Poblaciones y Evolución; Argentina.
Vera, Noelia S. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Cátedra de Genética de Poblaciones y Evolución; Argentina.
Sommaro, Lucía V. Universidad Nacional de Jujuy; Argentina.
Sommaro, Lucia V. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ecorregiones Andinas. Laboratorio de Ecología Evolutiva y Biogeografía; Argentina.
Simone, Ivana. Universidad Nacional de Río Cuarto. Facultad de Ciencias Exactas, Físico-Químicas y Naturales. Orientación de Genética General; Argentina.
Steinmann, Andrea R. Universidad Nacional de Río Cuarto; Argentina.
Steinmann, Andrea R. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias de la Tierra, Biodiversidad y Sustentabilidad Ambiental. Grupo de Investigaciones en Ecología Poblacional y Comportamental; Argentina.
Gardenal, Cristina N. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina.
Gardenal, Crstina N. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Diversidad y Ecología Animal; Argentina.
Priotto, José W. Universidad Nacional de Río Cuarto; Argentina.
Priotto, José W. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias de la Tierra, Biodiversidad y Sustentabilidad Ambiental. Grupo de Investigaciones en Ecología Poblacional y Comportamental; Argentina.

Resumen

Context: Dispersal and gene flow are key processes for the persistence of populations through the maintenance of large effective sizes and recolonization of empty patches. Therefore, assessing how dispersal is modulated by landscape characteristics and the species’ perception of them is are crucial in a context of anthropogenic landscape change and habitat fragmentation. Objectives: We used the rodent Calomys venustus as a model to study genetic connectivity in highly transformed agricultural landscape, to understand how species cope with changes in human modified environments. Methods: We placed sixty five trap lines within an area of approximately 1500 km2 in an agroecosystem in central Argentina, separated by different landscape elements (crop fields, dirt roads, paved roads, and water streams). To assess their influence on dispersal, we implemented two Bayesian clustering methods, and several methodologies based on the pattern of genetic similarity between pairs of individuals relative to their geographic separation. Results: Genetic autocorrelation analysis showed a clinal pattern, with a genetic patch size of approximately 4 km. Bayesian clustering suggested the presence of 7 randomly mating populations with highly variable geographic extent that followed an isolation by distance pattern. Their boundaries did not coincide with any apparent barrier to dispersal. An Estimated Effective Migration Surfaces analysis confirmed that dispersal in this species would not be impeded by landscape features. Conclusions: The strong habitat preferences of C. venustus would not be related to dispersion. Population limits were not defined by apparent barriers to gene flow. We propose that the perceived range of landscape complexity in C. venustus and the grain of resources at particular sites in the landscape would determine the boundaries of genetic clusters.
2023-05

Año de publicación

2021

Idioma

inglés

Formato (Tipo MIME)

text/csv
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet

Clasificación temática de acuerdo a la FORD

Ciencias biológicas

Materia

Genetic connectivity; Agricultural landscape; “Cline vs Cluster” dilemma; Lineal habitat;

Cobertura geo-temporal

ARG

Condiciones de uso

Disponible en acceso abierto

Repositorio digital

Repositorio Digital Universitario (UNC) - Universidad Nacional de Córdoba