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Data from: Trait-specific processes of convergence and conservatism shape ecomorphological evolution in ground-dwelling squirrels
负责人:
关键词:
Marmotini;Macroevolution;Morphological integration;Sciuridae;Covariance ratio;ecomorphology;Phenome;Xerinae;convergence
DOI:
doi:10.5061/dryad.t0553
摘要:
(s) to specific evolutionary processes. When distinct processes are capable of similar phenotypic signatures, however, identifying these drivers is diffic
Data from: Genetic change for earlier migration timing in a population of pink salmon
负责人:
关键词:
microevolution;salmon;Oncorhynchus gorbuscha;migration timing;genetic change;climate change
DOI:
doi:10.5061/dryad.m3c53
摘要:
To predict how climate change will influence populations it is necessary to understand the mechanisms, particularly microevolution and phenotypic plastic
Data from: Directional selection effects on patterns of phenotypic (co)variation in wild populations
负责人:
关键词:
quantitative genetics;Tamias speciosus;Adaptive landscape;Tamias alpinus;chipmunks;Genotype-phenotype map;P-matrix;Tamias
DOI:
doi:10.5061/dryad.f8q6b
摘要:
Phenotypic (co)variation is a prerequisite for evolutionary change, and understanding how (co)variation evolves is of crucial importa
Data from: Quantifying and comparing phylogenetic evolutionary rates for shape and other high-dimensional phenotypic data
负责人:
关键词:
Plethodon
DOI:
doi:10.5061/dryad.41hc4
摘要:
Many questions in evolutionary biology require the quantification and comparison of rates of phenotypic evolution. Recent
Data from: Inferring bounded evolution in phenotypic characters from phylogenetic comparative data
负责人:
关键词:
bounds;Macroevolution;evolutionary constraints;BBM;maximum-likelihood estimation;phylogenetic comparative data
DOI:
doi:10.5061/dryad.k974s
摘要:
Our understanding of phenotypic evolution over macroevolutionary timescales largely relies on the use of stochastic models for the evolution
Data from: Many paths to a common destination: morphological differentiation of a functionally convergent visual signal
负责人:
关键词:
Ecology: evolutionary;Phylogenetics: comparative;biodiversity;Draco;lizards;biomechanics;Otocryptis;Agamidae;morphology;Sitana;Iguanidae;Anolis;Behavior;Communication: visual;Adaptation
DOI:
doi:10.5061/dryad.61f72
摘要:
evolutionary trajectories and result in different phenotypic end points. The question is to what extent historical contingency places species on different
Data from: Characterizing and comparing phylogenetic trait data from their normalized Laplacian spectrum
负责人:
关键词:
Traits;Primates;Macroevolution;phylogenetics;graph Laplacian;tanagers
DOI:
doi:10.5061/dryad.6fh81vd
摘要:
The dissection of the mode and tempo of phenotypic evolution is integral to our understanding of global biodiversity. Our ability to infer patterns
Data from: Contrasting trajectories of morphological diversification on continents and islands in the Afrotropical white-eye radiation
负责人:
关键词:
competition;cryptic species;disparity-through-time;diversification;islands;Morphological Evolution;niche divergence;white-eyes;Zosterops
DOI:
doi:10.5061/dryad.x3ffbg7g3
摘要:
by phenotypic evolution, which instead shows an apparent convergence on particular phenotypes. However, the overall signature of phenotypic convergence is strongly driven
Data from: Genetic regulatory network motifs constrain adaptation through curvature in the landscape of mutational (co)variance
负责人:
关键词:
M-matrix;evolvability;divergence with gene flow;quantitative genetics;evolutionary systems biology;G-matrix
DOI:
doi:10.5061/dryad.tq09m
摘要:
ture of the complex genotype-phenotype relationship. However, models of multivariate phenotypic evolution based on quantitative genetics have largely not incorporated
Data from: Using time series analysis to characterize evolutionary and plastic responses to environmental change: a case study of a shift towa
负责人:
Crozier, Lisa G.
关键词:
Adaptation Climate change Ecology: behavioral Migration Modeling: ecological Phenotypic plasticity Selection: natural Statistics Ocean Streams/rivers
DOI:
doi:10.5061/dryad.02r66
摘要:
phenotypic change in response to recent climate change, we typically lack sufficient genetic data to identify the role of evolution. We present a method of usi

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