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Data from: Assessing the joint behavior of species traits as filtered by environment
负责人:
关键词:
Restio;Pelargonium;Erica;Protea;community assembly
DOI:
doi:10.5061/dryad.2vk03
摘要:
ss environmental gradients. Customarily, models for traits given environment consider only trait means to predict species and functional diversity, as intra-taxon variability
Data from: Evolution of phenotype-environment associations by genetic responses to selection and phenotypic plasticity in a temporally autocorrelated
负责人:
关键词:
environmental change;Environmental Predictability;Linear Reaction Norm;Computer Simulaton;Environmental Sensitivity of Selection;quantitative genetics
DOI:
doi:10.5061/dryad.7s5p5
摘要:
. We find that PEAs are determined not only by biological factors (e.g., magnitude of plasticity, genetic variation), but also environmental factors, suc
Data from: Environmental conditions affect spatial genetic structures and dispersal patterns in a solitary rodent
负责人:
关键词:
Environmental variability;Tamias striatus;spatial genetic structure;eastern chipmunks;Natal dispersal;context-dependent dispersal
DOI:
doi:10.5061/dryad.77r3p
摘要:
the impact of interannual variations in environmental conditions on the spatial distribution of relatives [spatial genetic structure (SGS
Data from: Predicting biotic interactions and their variability in a changing environment
负责人:
关键词:
microcosm;bacteria;global change;phylogeny;predictive ecology;climate change
DOI:
doi:10.5061/dryad.v36v0
摘要:
e confronted with new environments. Using bacterial microcosms, we illustrate how biotic interactions can vary along an environmental gradient
Data from: Adaptation in response to environmental unpredictability
负责人:
关键词:
local adaptation;bet hedging;Brachionus plicatilis;life-history traits;cyclical parthenogens;diapause;environmental unpredictability
DOI:
doi:10.5061/dryad.5vq2h
摘要:
ology. The Mediterranean region typically exhibits levels of environmental unpredictability that vary greatly in habitats over small geographical scales. In cyclical
Data from: Chiropteran metacommunity structure in the Atlantic Forest of South America
负责人:
关键词:
bats;Atlantic Forest;metacommunity;bats;Atlantic Forest;species composition;Chiroptera;variation partition
DOI:
doi:10.5061/dryad.s7h44j142
摘要:
ic Bats dataset were compiled for 39 species at 120 sites.??Variation among bat species was partitioned into pure environmental, pure space, pure
Data from: Environmental heterogeneity amplifies behavioural response to a temporal cycle
负责人:
关键词:
Tide;2017;2016;2015;habitat selection;2011;2010;foraging behaviour;seabird;Rissa tridactyla
DOI:
doi:10.5061/dryad.1447866
摘要:
fied changes in kittiwake habitat selection over the tidal cycle, potentially because environmental heterogeneity drives greater resource variation. Bot
Data from: Environmental and spatial effects on coastal stream fishes in the Atlantic rainforest
负责人:
关键词:
Altitude;asymmetric eigenvector maps;dispersal limitation;Environmental filtering;fish metacommunities;fish movement;tropical streams conservation;Variation partitioning
DOI:
doi:10.5061/dryad.sxksn02zj
摘要:
movements. Spatial factors, as well as environmental variables influenced by the spatial structure, explained most of the variation in fish assemblages
Data from: Elevation related difference in serial reversal learning ability in a non-scatter hoarding passerine
负责人:
Hermer, Ethan
关键词:
Altitude Operant learning Cognitive ecology Winter Resident Intraspecific variability
DOI:
doi:10.5061/dryad.20bv259
摘要:
Environments characterized by scarce and variable food supply, termed ‘harsh environments’, have been hypothesized to favor cognitive abilities tha
Data from: Heritability of seed weight in Maritime pine, a relevant trait in the transmission of environmental maternal effects
负责人:
关键词:
additive genetic variation;quantitative genetics;Pinus pinaster;Seed mass;conifer;Seed provisioning;Phenotypic Plasticity;long-lived plants;Seed mass variability;transgenerational plasticity
DOI:
doi:10.5061/dryad.60j76
摘要:
to separate G, E and G × E effects. Both cone weight and SW mean showed significant genetic variation but were also influenced by the maternal environment. Mos

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