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Data from: Forest cover mediates genetic connectivity of northwestern cougars
负责人:
关键词:
Recent;Puma concolor;gene flow;Genetic structure;Landscape Genetics;Cougar;Multiple Regression on Distance Matrices;Boosted regression tree
DOI:
doi:10.5061/dryad.3bn62
摘要:
ty and highways. We quantified the effect of landscape resistance on genetic distance using multiple regression on distance matrices and boosted regression tree analysi
Data from: Multicollinearity in spatial genetics: separating the wheat from the chaff using commonality analyses
负责人:
关键词:
Logistic Regression on Distance Matrices;Commonality analysis;Multiple Regression on Distance Matrices
DOI:
doi:10.5061/dryad.86gm0
摘要:
and logistic regressions on distance matrices, we illustrate how commonality analysis (CA), a detailed variance partitioning procedure that was recently introduce
Data from: Regression commonality analyses on hierarchical genetic distances.
负责人:
关键词:
Landscape Genetics;variance partitioning;Cervus elaphus;landscape connectivity
DOI:
doi:10.5061/dryad.t5m22
摘要:
not have been obtained with regressions based on standard genetic distances, with notably additional insights as to the possible influence
Data from: A method for assessing phylogenetic least squares models for shape and other high-dimensional multivariate data
负责人:
关键词:
Plethodon
DOI:
doi:10.5061/dryad.36df0
摘要:
covariance matrices and methods based on distance matrices. Using simulations under Brownian motion, I show that the method displays appropriate Type I error rates
Data from:Identification of landscape features influencing gene flow: how useful are habitat selection models?
负责人:
关键词:
Population connectivity;Multiple Regression on Distance Matrices;resource selection function;Ovis dalli dalli;Dispersal;Landscape Genetics;resistance surfaces
DOI:
doi:10.5061/dryad.bq5rj
摘要:
of distance matrices to assess the correlation of pairwise genetic distance and landscape resistance derived from an RSF, and combinations of landscape features
Data from: A comparison of regression methods for model selection in individual-based landscape genetic analysis
负责人:
关键词:
Regression on Distance Matrices;Simulation;Linear Mixed Effects Model;model selection;Mantel test;Landscape Genetics
DOI:
doi:10.5061/dryad.p7m1v
摘要:
. In this study, we used population genetic simulations to evaluate the performance of seven regression-based model selection methods on a broad array of landscapes
Data from: Adaptation with gene flow across the landscape in a dune sunflower
负责人:
关键词:
Helianthus petiolaris;Landscape Genetics;Ecological Genetics;speciation;Adaptation;Population Genetics - Empirical
DOI:
doi:10.5061/dryad.158pb518
摘要:
t, using landscape genetics approaches, such as circuit theory and multiple regression of distance matrices, in addition to coalescent modelling
Data from: Spatial autocorrelation in fitness affects the estimation of natural selection in the wild
负责人:
关键词:
Pseudoreplication;selection gradients;spatial heterogeneity;Cyanistes caeruleus;spatial autocorrelation;blue tit;multiple regression
DOI:
doi:10.5061/dryad.pm86c
摘要:
t allow to control for spatial autocorrelation in residuals of the Lande and Arnold's regression: a generalized least square (GLS) model with a distance
Data from: Drivers of tropical rainforest composition and alpha diversity patterns over a 2,520 m altitudinal gradient
负责人:
关键词:
alpha diversity;dispersal assembly;beta diversity;niche assembly;rarefaction-extrapolation;tropical mountain forest;Hill numbers
DOI:
doi:10.5061/dryad.v9r72q7
摘要:
2, the first in the 430-620 m asl range and the second at 1000-1120 masl. . Regressions showed that alpha diversity metrics were strongly negatively rela
Data from: Environmental variation is a major predictor of global trait turnover in mammals
负责人:
关键词:
beta diversity;Traits;Mammalia;Mammals;niche conservatism;convergence;phylogeny;multiple regression;mean nearest taxon distance;distance matrices;current
DOI:
doi:10.5061/dryad.pc1rs
摘要:
of spatial turnover for mammalian traits and phylogenetic lineages using the mean nearest taxon distance. We then used a variance partitioning approach to esta

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