10.5061/DRYAD.V8324
Khimoun, Aurélie
The Ohio State University
Peterman, William
The Ohio State University
Eraud, Cyril
Office National de la Chasse et de la Faune Sauvage
Faivre, Bruno
French National Centre for Scientific Research
Navarro, Nicolas
Wageningen University & Research
Garnier, Stéphane
French National Centre for Scientific Research
Data from: Landscape genetic analyses reveal fine-scale effects of forest
fragmentation in an insular tropical bird
Dryad
dataset
2017
Setophaga plumbea
tropical island
Resistance surface
landscape connectivity
Optimization
2017-07-18T15:21:12Z
2017-07-18T15:21:12Z
en
https://doi.org/10.1111/mec.14233
57441 bytes
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CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Within the framework of landscape genetics, resistance surface modelling
is particularly relevant to explicitly test competing hypotheses about
landscape effects on gene flow. To investigate how fragmentation of
tropical forest affects population connectivity in a forest specialist
bird species, we optimized resistance surfaces without a priori
specification, using least-cost (LCP) or resistance (IBR) distances. We
implemented a two-step procedure in order (i) to objectively define the
landscape thematic resolution (level of detail in classification scheme to
describe landscape variables) and spatial extent (area within the
landscape boundaries) and then (ii) to test the relative role of several
landscape features (elevation, roads, land cover) in genetic
differentiation in the Plumbeous Warbler (Setophaga plumbea). We detected
a small-scale reduction of gene flow mainly driven by land cover, with a
negative impact of the nonforest matrix on landscape functional
connectivity. However, matrix components did not equally constrain gene
flow, as their conductivity increased with increasing structural
similarity with forest habitat: urban areas and meadows had the highest
resistance values whereas agricultural areas had intermediate resistance
values. Our results revealed a higher performance of IBR compared to LCP
in explaining gene flow, reflecting suboptimal movements across this
human-modified landscape, challenging the common use of LCP to design
habitat corridors and advocating for a broader use of circuit theory
modelling. Finally, our results emphasize the need for an objective
definition of landscape scales (landscape extent and thematic resolution)
and highlight potential pitfalls associated with parameterization of
resistance surfaces.
Khimoun et al_microsatellite dataMicrosatellite genotyping
Guadeloupe
Lesser antilles