2023
DOI: 10.1111/mec.16948
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Isolation by resistance explains genetic diversity in theArremonbrushfinches of northern Mesoamerica

Abstract: Evolutionary theory suggests that genetic differentiation between and within natural populations is the result of neutral (e.g., gene flow) and adaptive (e.g., natural selection) processes (Mayr, 1963;

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Cited by 3 publications
(2 citation statements)
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References 157 publications
(251 reference statements)
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“…Resistance distance calculations in IBR often utilize data related to species traits or habitats ( Thomas et al 2015 ; Weber et al 2017 ). One common method is to calculate resistance distance based on niche model predictions, since gene flow between populations can be limited by suitable habitats ( Myers et al 2019 ; Zhang et al 2020 ; Shu et al 2022 ; Moreno-Contreras et al 2023 ). In IBE and IBR analyses, based on L. lutea 's elevational distribution range and preference for evergreen broadleaved forest and woodland, we considered 2 other variables in addition to the bioclimatic factors, namely altitude and land cover.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Resistance distance calculations in IBR often utilize data related to species traits or habitats ( Thomas et al 2015 ; Weber et al 2017 ). One common method is to calculate resistance distance based on niche model predictions, since gene flow between populations can be limited by suitable habitats ( Myers et al 2019 ; Zhang et al 2020 ; Shu et al 2022 ; Moreno-Contreras et al 2023 ). In IBE and IBR analyses, based on L. lutea 's elevational distribution range and preference for evergreen broadleaved forest and woodland, we considered 2 other variables in addition to the bioclimatic factors, namely altitude and land cover.…”
Section: Discussionmentioning
confidence: 99%
“…Mantel test is one of the most popular approaches to evaluate spatial processes driving population structure ( Diniz-Filho et al 2013 ; Zhang et al 2020 ), but it has been frequently critiqued because results were inconsistent with expectations and there were issues with type I (false-positive) and type II (false-negative) error rates ( Legendre et al 2015 ; Somers and Jackson 2022 ). Therefore, we used MLPE and MRDM to determine which model better explains genetic variation in L. lutea ( Moreno-Contreras et al 2023 ).…”
Section: Discussionmentioning
confidence: 99%