Assessing fine‐scale pondscape connectivity with amphibian eyes: An integrative approach using genomic and capture–mark–recapture data

Author:

Reyes‐Moya Ismael1ORCID,Sánchez‐Montes Gregorio1ORCID,Babik Wieslaw2ORCID,Dudek Katarzyna2ORCID,Martínez‐Solano Íñigo1ORCID

Affiliation:

1. Departamento de Biodiversidad y Biología Evolutiva Museo Nacional de Ciencias Naturales (MNCN‐CSIC) Madrid Spain

2. Institute of Environmental Sciences, Faculty of Biology Jagiellonian University Kraków Poland

Abstract

AbstractIn the face of habitat loss, preserving functional connectivity is essential to maintain genetic diversity and the demographic dynamics required for the viability of biotic communities. This requires knowledge of the dispersal behaviour of target species, which can be modelled as kernels, or probability density functions of dispersal distances at increasing geographic distances. We present an integrative approach to investigate the relationships between genetic connectivity and demographic parameters in organisms with low vagility focusing on five syntopic pond‐breeding amphibians. We genotyped 1056 individuals of two anuran and three urodele species (1732–3913 SNPs per species) from populations located in a landscape comprising 64 ponds to characterize fine‐scale genetic structure in a comparative framework, and combined these genetic data with information obtained in a previous 2‐year capture–mark–recapture (CMR) study. Specifically, we contrasted graphs reconstructed from genomic data with connectivity graphs based on dispersal kernels and demographic information obtained from CMR data from previous studies, and assessed the effects of population size, population density, geographical distances, inverse movement probabilities and the presence of habitat patches potentially functioning as stepping stones on genetic differentiation. Our results show a significant effect of local population sizes on patterns of genetic differentiation at small spatial scales. In addition, movement records and cluster‐derived kernels provide robust inferences on most likely dispersal paths that are consistent with genomic inferences on genetic connectivity. The integration of genetic and CMR data holds great potential for understanding genetic connectivity at spatial scales relevant to individual organisms, with applications for the implementation of management actions at the landscape level.

Publisher

Wiley

Subject

Genetics,Ecology, Evolution, Behavior and Systematics

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