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Data from: The spatial distribution of foragers and food patches can influence antipredator vigilance
负责人:
Beauchamp, Guy
关键词:
antipredator vigilance fission-fusion dynamics genetic algorithm model group size predation
DOI:
doi:10.5061/dryad.2p61j
摘要:
, and predator attack tactics. The modeling framework adopted here generates several novel predictions about vigilance and joining tendencies for group foragers
Data from: Increase in CO2 concentration could alter the response of Hedera helix to climate change
负责人:
关键词:
DOI:
doi:10.5061/dryad.5688g40
摘要:
with spatial distribution modelling may provide opportunities to refine predictions of how climate change will affect species distributions.
Data from: Species richness, endemism, and abundance patterns: tests of two fractal models in a serpentine grassland
负责人:
关键词:
California grassland;serpentine;Ecology: spatial;McLaughlin Reserve;spatial
DOI:
doi:10.6078/D1MQ2V
摘要:
on in biogeography, empirical support for fractal theory remains the subject of debate. We synthesize and test multiple predictions of two interrelated fract
Data from: A test of trophic and functional island biogeography theory with the avifauna of a continental archipelago
负责人:
Ross, Samuel
关键词:
trophic rank community assembly trophic theory phylogeography Ryūkyū archipelago species-area diversity-area Functional diversity
DOI:
doi:10.5061/dryad.54tm887
摘要:
area. Second, further extensions have predicted how trait distributions, and hence functional diversity, should scale with area. Trait-based theory predict
Data from: Applying the resource dispersion hypothesis to a fission–fusion society: A case study of the African lion (Panthera leo).
负责人:
Mbizah, Moreangels
关键词:
Fission-fusion group size heterogeneity lion patch richness prey availability Resource Dispersion Hypothesis
DOI:
doi:10.5061/dryad.4h6h6p5
摘要:
of prey availability. Our results supported the first and second predictions of the RDH: home range size (i) was independent of group size and (ii) increased
Data from: Distribution modelling of vegetation types based on area?frame survey data
负责人:
关键词:
GIS;logistic regression;Norway;Vegetation mapping;Independent evaluation;land-cover;Ecological Response Model;Environmental layers;Presence-absence data
DOI:
doi:10.5061/dryad.nk3b5k8
摘要:
t predictions from such models may improve parameterisation of vegetation distribution in earth system models.
Data from: Advancing restoration ecology: a new approach to predict time to recovery
负责人:
关键词:
Time to recovery;restoration;Ordination;Reference;Prediction;species composition;present;modelling;recovery;Successional gradient
DOI:
doi:10.5061/dryad.vr93sj5
摘要:
y, linear models were too optimistic about the time to recovery whereas the asymptotic models provided more precise predictions. 4. Synthesis and applications
Data from: Varyingly hungry caterpillars: predictive models and foliar chemistry suggest how to eat a rainforest
负责人:
关键词:
biodiversity;oxidative activity;Geometridae;Pyraloidea;Food webs
DOI:
doi:10.5061/dryad.8f5f3
摘要:
. Model parameters were used to make and test blind predictions for two hectares of exhaustively sampled forest. For pyraloids we relied on phylogeny al
Data from: Genetic diversity and connectivity within Mytilus spp. in the subarctic and Arctic
负责人:
关键词:
hybrid zone;glacial refugium;climate change;population structure;Mytilus edulis;SNPs;Mytilus galloprovincialis;Mytilus trossulus;bivalves;Arctic fauna
DOI:
doi:10.5061/dryad.438h3
摘要:
Climate changes in the Arctic are predicted to alter distributions of marine species. However, such changes are difficult to quantify because informati
Data from: Experimental test of phytoplankton competition for nutrients and light in poorly mixed water columns
负责人:
关键词:
environmental cues;habitat selection;ESS;Chlamydomonas reinhardtii;resource competition;phytoplankton;vertical distribution;spatial heterogeneity;resource gradients;movement;population dynamics
DOI:
doi:10.5061/dryad.q5t1854p
摘要:
, the resource environment was strongly modified by the movement, self-shading, nutrient uptake, and growth of the phytoplankton. Supporting predictions, we routinely observed

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