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Data from: A stochastic model for annual reproductive success
负责人:
关键词:
Ecology: population;Modeling: population ecology;Demography;mammal;bird;reptile;Modeling: population ecology;modeling: applied population;Theory
DOI:
doi:10.5061/dryad.1087
摘要:
Demographic stochasticity can have large effects on the dynamics of small populations as well as on the persistence of rare genotypes and lin
Data from: Spatially explicit assessment of estuarine fish after Deepwater Horizon oil spill: tradeoffs in complexity and parsimony
负责人:
关键词:
DOI:
doi:10.5061/dryad.4dn80
摘要:
on, and chronic toxicity data from laboratory assays applied to a matrix population model. The habitat suitability model established distribution of fish within Barataria
Data from: Integrated modeling predicts shifts in waterbird population dynamics under climate change
负责人:
关键词:
Dail-Madsen model;system shift;ecological forecast;Demography;global change;integrative modeling;Anas platyrhynchos;1972-2013
DOI:
doi:10.5061/dryad.vr4bh74
摘要:
under climate change, which requires integrated population models (IPMs) that unify the analyses of demography and abundance data. In this study
Data from: Separating mortality and emigration: modelling space use, dispersal and survival with robust-design spatial-capture-recapture data
负责人:
关键词:
Space use;SCR;survival;Arvicolinae;Rodentia;Dispersal;movements;field vole;Mammalia;capture-recapture;Cricetidae;Muroidea;home range;spatial capture recapture;Microtus agrestis
DOI:
doi:10.5061/dryad.r17n5
摘要:
fe-history traits of populations. However, traditional CR models cannot separate mortality from emigration. Recently developed spatial-capture-recapture (SCR) models expli
on for simulation models
负责人:
关键词:
Plant;Demography;Ecology: population;Ecology: spatial;Dispersal;Pinus uncinata;Modeling: individual based;Temperate Forest;Methods: computer simulations
DOI:
doi:10.5061/dryad.8422
摘要:
or krummholz tree lines to climate change. The method presented here can be widely applied in individual-based simulation models and will turn model selecti
Data from: Individual cryptic scaling relationships and the evolution of animal form
负责人:
关键词:
Morphological Scaling Relationship;Artificial selection;Cyrtodiopsis dalmanni;Bicyclus anynana;Allometry;drosophila melanogaster
DOI:
doi:10.5061/dryad.f8320d5
摘要:
-body size individual cryptic scaling relationships from a population of Drosophila melanogaster. To determine how these models might inform interpretati
Data from: Modeling human population separation history using physically phased genomes
负责人:
关键词:
haplotypes;human genome;Homo Sapiens;human;fosmid;phased
DOI:
doi:10.5061/dryad.r7fs8
摘要:
on, selection, and changes in population size. In humans, haplotypes are typically estimated from unphased sequence or genotyping data using statistical models
Data from: Assessing cetacean populations using integrated population models: an example with Cook Inlet beluga whales
负责人:
关键词:
Bayesian statistics;beluga whales;cetaceans;Integrated modelling;population dynamics;state-space models
DOI:
doi:10.5061/dryad.9zw3r229w
摘要:
e estimated using systematic visual surveys. Additional individual-level data are available for some species. Integrated population modelling (IPM) offers
Data from: Using dynamic N-mixture models to test cavity limitation on northern flying squirrel demographic parameters using experimental nest box
负责人:
关键词:
Abundance apparent survival BACI design habitat selection Dail-Madsen open N-mixture model recruitment snags tree cavities manipulative experiment
DOI:
doi:10.5061/dryad.p2r8r
摘要:
ecially in view of apparent wide population fluctuations across years. 5. Abundance estimates from N-mixture models were similar to those from capture-mark
Data from: Balancing ecological costs and benefits of fire for population viability of disturbance-dependent butterflies
负责人:
Schultz, Cheryl
关键词:
butterflies disturbance fire mega-matrix succession population viability analysis source-sink dynamics Fender's blue demographic models dispersal behaviour
DOI:
doi:10.5061/dryad.3547c
摘要:
with source-sink dynamics in stationary environments, in which local dispersal leads to higher population growth rates. Our matrix modelling approach has broad application

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