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Data from: Depletion of heterogeneous source species pools predicts future invasion rates
负责人:
关键词:
species abundance distribution;1810-2010;globalization;Propagule pressure;pathway;Scolytinae;forecast;Model;Curculionidae;biological invasions
DOI:
doi:10.5061/dryad.v01m0
摘要:
ords, thus explaining why only a small fraction of species has historically invaded. Forecasts from the model indicate that with increasing rates of imports, mor
Data from: Genetic signature of adaptive peak shift in threespine stickleback
负责人:
关键词:
pleiotropy;ecological genomics;Evolutionary genomics;Selection - Natural;Gasterosteus aculeatus;Adaptation
DOI:
doi:10.5061/dryad.6jj614kh
摘要:
h to the complexities of natural environments to be useful when forecasting adaptive responses to large environmental changes.
Data from: Are species’ responses to global change predicted by past niche evolution?
负责人:
关键词:
Mesozoic;conservation;climatic niche;Grinnellian niche;phylogeny;Cenozoic;Aves;comparative analyses;Eltonian niche
DOI:
doi:10.5061/dryad.rk775
摘要:
forecasting, has now become an urgent task. Here we explored whether recent population trends of species can be explained by their past rate of niche evoluti
Data from: Rapid evolution of ant thermal tolerance across an urban-rural temperature cline
负责人:
关键词:
Temnothorax curvispinosus
DOI:
doi:10.5061/dryad.sq816
摘要:
rearing environments differed significantly among rural and urban populations. While much of the ecological forecasting literature focuses on plasti
Data from: Stomatal sensitivity to CO2 diverges between angiosperm and gymnosperm tree species
负责人:
关键词:
stomatal conductance;leaf thickness;biome;deciduous;57 tree species;Evergreen;stomatal downregulation;Holocene
DOI:
doi:10.5061/dryad.p6v01kd
摘要:
t species differences must be taken into account in forecasting future forest fluxes.
Data from: Accuracy of climate-based forecasts of pathogen spread
负责人:
关键词:
Hindcasting;Species distribution model;Machine Learning;Batrachochytrium dendrobatidis
DOI:
doi:10.5061/dryad.3p121
摘要:
Species distribution models (SDMs) are a tool for predicting the eventual geographical range of an emerging pathogen. Most SDMs, however, rely
Data from: Towards a predictive model of species interaction beta diversity
负责人:
关键词:
Portland;Bayesian;species turnover.;interaction beta-diversity;Prediction;Network ecology;Scale;evolutionary history;dissimilarity;rewiring;interaction turnover;Trochilidae
DOI:
doi:10.5061/dryad.3gd34v2
摘要:
and testing data, to show that including models of detectability and occurrence improves forecasts of mutualistic interactions. We then extend our model
Data from: How do climate change experiments alter plot-scale climate?
负责人:
关键词:
Feedback;target temperature;spring phenology;budburst;Global warming;Microclimate;structural control;direct and indirect effects;soil moisture;hidden treatment;active\u2010warming;warming experiment
DOI:
doi:10.5061/dryad.p46k773
摘要:
To understand and forecast biological responses to climate change, scientists frequently use field experiments that alter temperature

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