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Data from: The relative influence of habitat amount and configuration on genetic structure across multiple spatial scales
负责人:
关键词:
gene flow;habitat structure;Dispersal;Landscape Genetics;Isolation;Metriocnemus knabi
DOI:
doi:10.5061/dryad.79gk4
摘要:
chy at multiple spatial scales (i.e., leaf, plant, cluster, peatland). Using generalized linear mixed models and multimodel inference, we estimated effects of the amount
Data from: Non-equilibrium conditions explain spatial variability in genetic structuring of little penguin (Eudyptula minor)
负责人:
关键词:
Seabird Subject area: Population structure and phylogeography;secondary contact;isolation by distance;Colonisation;Conservation genetics and biodiversity;Tension zone;Eudyptula minor;Hybridisation
DOI:
doi:10.5061/dryad.v147d
摘要:
genetic structuring previously observed actually represents the eastern half of a genetic cline, within which structuring exists over much shorter spatial scales tha
Data from: Local and regional scale habitat heterogeneity contribute to genetic adaptation in a commercially important marine mollusc (Halioti
负责人:
Miller, Adam
关键词:
DOI:
doi:10.5061/dryad.kb401ch
摘要:
on sampling regimes that are typically limited to broad longitudinal and latitudinal environmental gradients. As a result, the spatial scales at which
Data from: Selection outweighs drift at a fine scale: lack of MHC differentiation within a family living lizard across geographically close
负责人:
关键词:
fine spatial scale;selection;MHC;Egernia stokesii;genetic differentiation
DOI:
doi:10.5061/dryad.22796f6
摘要:
ve influence of selection, gene flow and drift on MHC variation. To date, such investigations have usually been undertaken at a broad spatial scale
Data from: Allometric scaling of seed retention time in seed dispersers and its application to estimation of seed dispersal potentials of theropod
负责人:
关键词:
ecosystem function;Seed dispersal;trait-based model
DOI:
doi:10.5061/dryad.h622t6p
摘要:
, the potential and limitations of the scaling of animal SRT with body mass and a future pathway to the development of trait-based modelling are discussed.
Data from: Very high resolution digital elevation models: are multi-scale derived variables ecologically relevant?
负责人:
关键词:
Digital Elevation Models;multi-scale analysis;Very High Spatial Resolution;local scale;generalized linear models;Temperature and Humidity Loggers;Landolt\u2019s Ecological Indicators
DOI:
doi:10.5061/dryad.43md3
摘要:
rated DEM-derived variables at 1m, 2m and 4m spatial resolutions, applying a Gaussian Pyramid. Their associations with local climatic factors, measured
Data from: Multi-scaled drivers of ecosystem state: quantifying the importance of the regional spatial scale
负责人:
关键词:
spatial scale anthropogenic disturbance ecoregions hydrogeomorphic lakes landscape limnology
DOI:
doi:10.5061/dryad.75s9s
摘要:
The regional spatial scale is a vital linkage for the informed extrapolation of results from local to continental scales to address broad-scale
Data from: Spatial variability in a plant-pollinator community across a continuous habitat: high heterogeneity in the face of apparent uniformity
负责人:
关键词:
spatial variation;Honey bees;mosaic community;local scale-networks;beta-diversity;plant-pollinator interactions
DOI:
doi:10.5061/dryad.076v807
摘要:
Large-scale spatial variability in plant-pollinator communities (e.g., along geographic gradients, across different landscapes) is relative
Data from: Plant toxin levels in nectar vary spatially across native and introduced populations
负责人:
关键词:
plant-herbivore interactions;Chemical defence;Nectar chemistry;spatial variation;pollination;grayanotoxins;Invasion ecology;Rhododendron ponticum
DOI:
doi:10.5061/dryad.6p46m
摘要:
was thus markedly lower or (in 18% of cases) absent from nectar in introduced plants. Spatial autocorrelation was apparent at both patch and landscape scales
Data from: Contrasting global patterns of spatially periodic fairy circles and regular insect nests in drylands
负责人:
关键词:
DOI:
doi:10.5061/dryad.44j0zpcb9
摘要:
. The analysis demonstrates the interpretation of scale?dependent neighborhood?density functions and that it is the identification of unique spatial signatures

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