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Data from: State-and-transition simulation models: a framework for forecasting landscape change
负责人:
关键词:
Markov chain;Modeling;stochastic;land use change;spatial;ST-Sim;landscape dynamics;Holocene;landscape ecology
DOI:
doi:10.5061/dryad.g58k0
摘要:
A wide range of spatially explicit simulation models have been developed to forecast landscape dynamics, including models for projecting change
Data from: A quantitative test of population genetics using spatio-genetic patterns in bacterial colonies
负责人:
关键词:
Modeling: stochastic spatial;genetic drift;gene flow;Ecology: spatial;Modeling: spatial;Ecology: theoretical;Theory;Migration;Escherichia coli;Pseudomonas aeruginosa;population dynamics;Modeling: individual based
DOI:
doi:10.5061/dryad.3147q
摘要:
e challenging because of the complex relationships between space, dispersal, and evolution. Critically, we lack quantitative validation of the spatial models
Data from: Avoidable errors in the modeling of outbreaks of emerging pathogens, with special reference to Ebola
负责人:
关键词:
emerging infectious disease;forecast;statistical inference;Ebola virus disease
DOI:
doi:10.5061/dryad.r5f30
摘要:
an alternative based on stochastic models fit to raw data from an early phase of 2014 West Africa Ebola virus disease outbreak. We show not only that bias is ther
Data from: Integrating continuous stocks and flows into state-and-transition simulation models of landscape change
负责人:
关键词:
Markov chain;ST-Sim software;Modeling;systems dynamics;carbon budget;stochastic;land use change;spatial;landscape dynamics;Holocene;landscape ecology
DOI:
doi:10.5061/dryad.6939c
摘要:
forward in time, as a discrete-time stochastic process using a Monte Carlo approach, in response to any number of possible transitions. A current limitati
Data from: Contrasting effects of spatial heterogeneity and environmental stochasticity on population dynamics of a perennial wildflower
负责人:
关键词:
generalized linear model;plant population and community dynamics;sourcs-sink dynamics;environmental stochasticity;integral projection model;Dispersal;spatial heterogeneity
DOI:
doi:10.5061/dryad.30hd0
摘要:
vital rate functions using this variation into integral projection models for stochastic and spatially heterogeneous environments. I also explored
Data from: The impact of bottlenecks on microbial survival, adaptation and phenotypic switching in host-pathogen interactions
负责人:
关键词:
extinction;Phenotypic Plasticity;Models\/Simulations;Fitness
DOI:
doi:10.5061/dryad.80n7f
摘要:
. We address the evolution of such mechanisms, known as stochastic phenotype switches, which are prevalent in pathogenic bacteria. We analyze a model of pathogen
Data from: Experiments and modelling of rate-dependent transition delay in a stochastic subcritical bifurcation
负责人:
关键词:
Engineering;thermoacoustic;combustion;subcritical bifurcation
DOI:
doi:10.5061/dryad.4cj4k
摘要:
and to scrutinise the underlying stochastic dynamics. Our study highlights the dramatic influence of a finite rate of change of bifurcation parameters upon
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:
Dormant life stages are often critical for population viability in stochastic environments, but accurate field data characterizing them are diffic
Data from: Quantifying behavioral changes in territorial animals caused by sudden population declines
负责人:
Potts, Jonathan Richard
关键词:
Behavior: social Ecology: behavioral Ecology: chemical Ecology: spatial Ecology: theoretical Modeling: individual based Modeling: population ecology Modeling: stochastic spatial Territoriality Mammal
DOI:
doi:10.5061/dryad.5dn48
摘要:
st overlapping home ranges. To explain and unify these two aspects of animal space use, we use recently developed mechanistic models of collective animal mo
Data from: Effects of cell-cycle-dependent expression on random fluctuations in protein levels
负责人:
关键词:
Random flutuations;Cell-cycle;Stochastic gene expression;cell-to-cell variability;Noise control
DOI:
doi:10.5061/dryad.7kv8r
摘要:
Expression of many genes varies as a cell transitions through different cell-cycle stages. How coupling between stochastic expression and cell cycle

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