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Data from: Dealing with uncertainty in landscape genetic resistance models: a case of three co-occurring marsupials
负责人:
关键词:
conservation;Antechinus;Antechinus flavipes;Simulation;Landscape Genetics;Petaurus norfolcensis;uncertainty;landscape resistance optimisation;Holocene;Petaurus breviceps;Petaurus
DOI:
doi:10.5061/dryad.7cs0p
摘要:
in landscape genetic models will make results more interpretable and useful for conservation decision-making, where dealing with uncertainty is critical.
Data from: Predicting ecological responses in a changing ocean: the effects of future climate uncertainty
负责人:
关键词:
Electrona antarctica;climate model;IPCC;projection;uncertainty;Species distribution modelling;climate change;sea surface temperature
DOI:
doi:10.5061/dryad.4f98t
摘要:
ee components (scenario uncertainty, model uncertainty, and internal model variability) and identifies four criteria that constitute a thorough interpreta
Data from: The impact of reconstruction methods, phylogenetic uncertainty and branch lengths on inference of chromosome number evolution in Amer
负责人:
关键词:
Model Uncertainty;Dysploidy;Model averaging;ancestral state reconstruction;Asteraceae;Melampodium
DOI:
doi:10.5061/dryad.6r12h
摘要:
of reconstruction method (maximum parsimony, maximum likelihood, Bayesian methods), branch length model (phylograms versus chronograms) and phylogenetic uncertainty
Data from: Reducing complexity and unidentifiability when modelling human atrial cells
负责人:
关键词:
DOI:
doi:10.5061/dryad.p2ngf1vmc
摘要:
of uncertainty from the parameter posterior distributions. Two approaches are investigated to reduce the uncertainty present: firstly to re-calibrate the models
Data from: Use of hidden Markov capture-recapture models to estimate abundance in presence of uncertainty: application to estimating the prevalence
负责人:
Santostasi, Nina Luisa
关键词:
hidden Markov models capture-recapture hybridization Viterbi algorithm
DOI:
doi:10.5061/dryad.8g8r675
摘要:
ing for imperfect detectability and uncertainty in individual's classification. We carried out a simulation study to compare naive and model‐based estimates
Data from: Control of entropy in neural models of environmental state
负责人:
Muller, Timothy
关键词:
Neuroscience
DOI:
doi:10.5061/dryad.jk17vk0
摘要:
Humans and animals construct internal models of their environment in order to select appropriate courses of action. The representation of uncertainty
Data from: Accounting for uncertainty in dormant life stages in stochastic demographic models
负责人:
关键词:
Bayesian models;stochastic demography;Integral Projection Models
DOI:
doi:10.5061/dryad.rq7t3
摘要:
integral projection models (IPMs) for a fire-adapted, carnivorous plant species using a Bayesian framework to estimate uncertainty in parameters of three vita
Data from: Avoiding tipping points in fisheries management through Gaussian process dynamic programming
负责人:
关键词:
DOI:
doi:10.5061/dryad.mj226
摘要:
management predictions with both model uncertainty and limited data. We use simulations to evaluate this approach as compared with the standard approach of usi
Data from: Using expert knowledge to incorporate uncertainty in cause-of-death assignments for modeling of cause-specific mortality
负责人:
关键词:
DOI:
doi:10.5061/dryad.v1kq6
摘要:
incorporate this use of expert knowledge and the associated uncertainty, we developed a statistical model for estimating cause-specific mortality usi
Data from: Incorporating uncertainty into forest management planning: timber harvest, wildfire and climate change in the boreal forest
负责人:
关键词:
disturbance;Populus tremuloides;stochastic;risk;Model;Pinus banksiana;spatial;Holocene;Picea mariana;Landscape
DOI:
doi:10.5061/dryad.0rb1b
摘要:
and timber harvesting. Existing forest planning models are not well suited to dealing with this uncertainty because they produce deterministic projections based

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