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Data from: Evolution of social versus individual learning in an infinite island model
负责人:
关键词:
population genetics;population structure;Behavior;Models\/Simulations;Adaptation
DOI:
doi:10.5061/dryad.st0qg956
摘要:
e two discrete strategies, social and individual learning, and that the environment is spatially homogeneous but varies temporally in a periodic or stochastic
Data from: Establishment and maintenance of adaptive genetic divergence under migration, selection, and drift
负责人:
关键词:
gene flow;local adaptation;environmental heterogeneity;genetic drift;migration-selection balance;Dispersal
DOI:
doi:10.5061/dryad.8651
摘要:
ng deterministic models that assume infinite population size. With finite population size, stochastic dynamics can greatly reduce the potential for the maintenance
Data from: Landscape Corridors (LSCorridors): a new software package for modeling ecological corridors based on landscape patterns and species
负责人:
关键词:
landscape connectivity;landscape ecology;matrix permeability;corridor modeling;species perception
DOI:
doi:10.5061/dryad.r7kj2
摘要:
t permeable ones in the landscape. Two parameters in LSCorridors modulate the stochasticity in corridors simulations. The first parameter is the level
Data from: Slowly switching between environments facilitates reverse evolution in small populations
负责人:
关键词:
population genetics;Selection - Natural;epistasis;Models\/Simulations;Adaptation;Fitness
DOI:
doi:10.5061/dryad.0s96k
摘要:
onary reversibility. We confirm this effect using both a phenomenological model of clonal interference and also a Wright-Fisher stochastic simulation that incorporates genetic diversi
Data from: How random is social behaviour? Disentangling social complexity through the study of a wild house mouse population
负责人:
Perony, Nicolas
关键词:
animal behaviour habitat use home range social structure self-organisation stochastic modelling
DOI:
doi:10.5061/dryad.c2b53
摘要:
s of a population of wild house mice (Mus domesticus) in their natural environment can be explained by a simple stochastic model. We first introduce the noti
Data from: The coalescent in boundary-limited range expansions
负责人:
关键词:
Genetic Variation;Coalescent Theory;genetic drift;gene flow;population genetics
DOI:
doi:10.5061/dryad.mk6g1
摘要:
en have drastic population genetic effects, such as a stochastic resampling of the gene pool through the "surfing" phenomenon. Most models assume tha
Data from: Successful by chance? the power of mixed models and neutral simulations for the detection of individual fixed heterogeneity
负责人:
关键词:
Demography;Life history: ecology;Modeling: individual based;Methods: computer simulations;Fitness;Chionomys nivalis
DOI:
doi:10.5061/dryad.3cb61
摘要:
on), and dynamic heterogeneity generated by stochastic variation. Their relative magnitude is crucial for evolutionary processes, as only the former may allow for adaptati
Data from: Coestimating reticulate phylogenies and gene trees from multilocus sequence data
负责人:
Nakhleh, Luay
关键词:
Multispecies network coalescent reticulation incomplete lineage sorting phylogenetic network Bayesian inference RJMCMC
DOI:
doi:10.5061/dryad.3h185
摘要:
network. Coupling the MSNC with a stochastic mutational process that operates along the branches of the gene trees gives rise to a generative model

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