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Data from: A rigorous comparison of sexual selection indexes via simulations of diverse mating systems
负责人:
关键词:
index of resource monopolization;Opportunity for sexual selection;Morisita index;sexual selection;Bateman gradient;distributional selection differential;Jones index
DOI:
doi:10.5061/dryad.3p2j0
摘要:
a rigorous comparison of eight commonly used indexes of sexual selection. We simulated 500 biologically plausible mating systems, based on the template
Data from: Natural selection on gall size: variable contributions of individual host plants to population-wide patterns
负责人:
关键词:
Selection - Natural;Belonocnema treatae;Plant-Insect Interaction;Adaptation;Population Biology;Fitness
DOI:
doi:10.5061/dryad.1js1n
摘要:
ons represent a vital step in understanding the interaction of selection and gene flow among host-affiliated insect populations when individual plants equate
Data from: Recent selection for self-compatibility in a population of Leavenworthia alabamica
负责人:
关键词:
S-locus;self-compatibility;Leavenworthia;positive selection;selective sweep;Leavenworthia alabamica
DOI:
doi:10.5061/dryad.82vm4
摘要:
, mutations at the S-locus leading to SC may be selected if they provide reproductive assurance and/or gain a transmission advantage in a population when SC
Data from: Predictive Bayesian selection of multistep Markov chains, applied to the detection of the hot hand and other statistical dependencies
负责人:
关键词:
Markov chain;selection;Bayesian;Hot hand
DOI:
doi:10.5061/dryad.4k25m2q
摘要:
) does not clearly beat a model with independent outcomes. An error-correcting variable length model of two parameters, where James shoots a higher
Data from: How to quantify (the response to) sexual selection on traits
负责人:
Henshaw, Jonathan
关键词:
sexual selection quantitative genetics structural equation modelling animal model Robertson’s secondary theorem of selection Bateman gradient Jones index opportunity for sexual selection selection gradient
DOI:
doi:10.5061/dryad.1fp7830
摘要:
. We show how to quantify both these steps in a single path analysis, leading to better estimates of the strength of sexual selection. Our model controls
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:
nce to the biological sciences. Theoretical models predict that under directional selection, phenotypic (co)variation should evolve in step with the underlying adapti
Data from: Does wildlife resource selection accurately inform corridor conservation?
负责人:
Wilson, Alan M.
关键词:
behavioural state conservation planning corridor ecology dispersal landscape connectivity landscape resistance movement ecology resource selection step selection
DOI:
doi:10.5061/dryad.66kc7
摘要:
ology and conservation. Currently, resource selection analyses are widely used to focus corridor planning where animal movement is predicted to occur. An animal
Data from: A unifying framework for quantifying the nature of animal interactions
负责人:
关键词:
animal movement collective behaviour insectivore birds
DOI:
doi:10.5061/dryad.47jh1
摘要:
ious mechanistic models of territorial interactions in the literature with step selection functions, by incorporate interactions into the step selection framework
Data from: Mechanistic model of evolutionary rate variation en route to a nonphotosynthetic lifestyle in plants
负责人:
关键词:
evolutionary rates;relaxed selection;Parasitism;Orobanchaceae;plastid genomes
DOI:
doi:10.5061/dryad.t2m75
摘要:
Because novel environmental conditions alter the selection pressure on genes or entire subgenomes, adaptive and nonadaptive changes will leave
Data from: Relating fitness to long-term environmental variations in natura
负责人:
关键词:
selective pressure variations;time-series;adaptation dynamics;Culex pipiens;insecticide resistance;population genetics model
DOI:
doi:10.5061/dryad.1cv0n
摘要:
s. This step is, however, crucial, if we are to understand how the variation in selective pressure affects adaptive allele dynamics in natural settings. We use

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