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Data from: Evolutionary branching in complex landscapes
负责人:
关键词:
competition;Speciation: ecological;Modeling: spatial;Theory;Dispersal;Modeling: individual based;Methods: computer simulations;Adaptation;Selection: natural
DOI:
doi:10.5061/dryad.43cj7
摘要:
patchiness. To elucidate the consequences of such complex landscapes, we adapt an established spatially explicit individual-based model
Data from: Landscape resistance and habitat combine to provide an optimal model of genetic structure and connectivity at the range margin
负责人:
关键词:
Habitat Degradation;Landscape Genetics;Mammals;Peromyscus leucopus;Population Genetics - Empirical
DOI:
doi:10.5061/dryad.5sk8g
摘要:
w approach that uses numerical optimization to define a model that combines site differences and landscape resistance to explain the gene
Data from: The effect of cost surface parameterization on landscape resistance estimates
负责人:
Koen, Erin L.
关键词:
Conservation Genetics Ecological Genetics Wildlife Management Conservation Biology Habitat Degradation
DOI:
doi:10.5061/dryad.6b678210
摘要:
and two models of landscape permeability: least cost path and effective resistance. We found two qualitatively different responses to varying cost weights: linear
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:
, using landscape genetics approaches, such as circuit theory and multiple regression of distance matrices, in addition to coalescent modelling
Data from: Multi-scale resistant kernel surfaces derived from inferred gene flow: An application with vernal pool breeding salamanders
负责人:
关键词:
circuit theory;Ambystoma opacum;Ambystoma maculatum;Landscape Genetics;Resistance surface
DOI:
doi:10.5061/dryad.358c50t
摘要:
-scales. Here, we model multi-scale/layer landscape resistance surfaces to estimate resistance to inferred gene flow for two vernal pool breeding sala
Data from: Isolation-by-distance in landscapes: considerations for landscape genetics
负责人:
关键词:
gene flow;population genetics;simulation model;Landscape Genetics
DOI:
doi:10.5061/dryad.m8q30
摘要:
tion is detectable anymore (case-IV pattern). We investigated if landscape configuration influenced the rate at which a case-IV pattern changed to a case-I pattern
Data from: A multi-scale analysis of gene flow for the New England cottontail, an imperiled habitat specialist in a fragmented landscape
负责人:
关键词:
connectivity;Dispersal;Landscape Genetics;roads;Sylvilagus transitionalis;early successional habitat;lagomorph;Holocene;fragmentation;New England cottontail
DOI:
doi:10.5061/dryad.1s834
摘要:
tive to the landscape and developed several resistance models to test hypotheses about landscape features that promote or inhibit cottontail dispersal within and ac
Data from: Limited influence of local and landscape factors on finescale gene flow in two pond-breeding amphibians
负责人:
关键词:
microsatellite genotypes landscape data landscape genetics amphibians
DOI:
doi:10.5061/dryad.4903q
摘要:
the relationship of landscape composition and configuration on gene flow. Embryos were sampled from 56 spotted salamander breeding ponds and 39 wood frog breeding
Data from: A novel landscape genetics approach demonstrates the effects of human disturbance on the Udzungwa red colobus monkey (Procolobus
负责人:
关键词:
genetic diversity;Procolobus gordonorum;population structure;Landscape Genetics;conservation;red colobus;human disturbance;habitat fragmentation
DOI:
doi:10.5061/dryad.rr611
摘要:
forest blocks, and Bayesian cluster analyses identified hierarchical structure. Our new method for creating composite landscape resistance models found tha
Data from: Scale-dependent effects of landscape variables on gene flow and population structure in bats
负责人:
关键词:
Biogeographical barriers Edge populations Landscape genetics Spatial scale Species distribution modelling
DOI:
doi:10.5061/dryad.pt0gh
摘要:
population genetics with species distribution modelling and geographical information under a causal modelling framework, to identify landscape barriers to gene flow

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