Using multilevel models to identify drivers of landscape-genetic structure among management areas.
about
Dispersal in a changing world: opportunities, insights and challenges.Spatial heterogeneity of temperature across alpine boulder fields in New South Wales, Australia: multilevel modelling of drivers of microhabitat climate.Simulating the spread of selection-driven genotypes using landscape resistance models for desert bighorn sheep.Landscape genetics for the empirical assessment of resistance surfaces: the European pine marten (Martes martes) as a target-species of a regional ecological network.Applying evolutionary concepts to wildlife disease ecology and management.A few large roads or many small ones? How to accommodate growth in vehicle numbers to minimise impacts on wildlife.Assessing the permeability of landscape features to animal movement: using genetic structure to infer functional connectivity.Isolation by environment in White-breasted Nuthatches (Sitta carolinensis) of the Madrean Archipelago sky islands: a landscape genomics approach.A novel landscape genetic approach demonstrates the effects of human disturbance on the Udzungwa red colobus monkey (Procolobus gordonorum).Dealing with uncertainty in landscape genetic resistance models: a case of three co-occurring marsupials.Multicollinearity in spatial genetics: separating the wheat from the chaff using commonality analyses.Landscape genetics in a changing world: disentangling historical and contemporary influences and inferring change.Applying landscape genetics to the microbial world.Contrasting Patterns of Gene Flow for Amazonian Snakes That Actively Forage and Those That Wait in Ambush.Multi-scale and multi-site resampling of a study area in spatial genetics: implications for flying insect species.Fresh is best: Accurate SNP genotyping from koala scats.Navigating the currents of seascape genomics: how spatial analyses can augment population genomic studies.Integrating microorganism and macroorganism dispersal: modes, techniques and challenges with particular focus on co-dispersalTime-delayed influence of urban landscape change on the susceptibility of koalas to chlamydiosisLand-use drivers of forest fragmentation vary with spatial scaleModelling species distributional shifts across broad spatial extents by linking dynamic occupancy models with public-based surveysOptimal planning for mitigating the impacts of roads on wildlifeClimatically stable landscapes predict patterns of genetic structure and admixture in the Californian canyon live oak
P2860
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P2860
Using multilevel models to identify drivers of landscape-genetic structure among management areas.
description
2013 nî lūn-bûn
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2013年の論文
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2013年学术文章
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name
Using multilevel models to ide ...... ucture among management areas.
@en
Using multilevel models to ide ...... ucture among management areas.
@nl
type
label
Using multilevel models to ide ...... ucture among management areas.
@en
Using multilevel models to ide ...... ucture among management areas.
@nl
prefLabel
Using multilevel models to ide ...... ucture among management areas.
@en
Using multilevel models to ide ...... ucture among management areas.
@nl
P2093
P2860
P50
P356
P1433
P1476
Using multilevel models to ide ...... ucture among management areas.
@en
P2093
Frank N Carrick
Jessica Worthington Wilmer
Kristen E Lee
Mitchell Lyons
P2860
P304
P356
10.1111/MEC.12359
P577
2013-06-04T00:00:00Z