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Data from: Estimating range expansion of wildlife in heterogeneous landscapes: a spatially explicit state-space matrix model coupled with an improved
负责人:
Osada, Yutaka
关键词:
population dynamic
DOI:
doi:10.5061/dryad.pt38f8s
摘要:
ed to be primarily caused by the dispersal process (i.e., movement barriers in fragmented forests) rather than population growth. Our state-space matrix model
Data from: QuLinePlus: extending plant breeding strategy and genetic model simulation to cross-pollinated populations – case studies
负责人:
关键词:
quantitative genetics;software;Simulation;cross-pollinated;plant breeding;genetic gain
DOI:
doi:10.5061/dryad.7368cc2
摘要:
al parental population (10, 50, and 100), and across three genetic effects models (fully additive model, a mixture of additive, partial and over dominance model
Data from: Experimentally verified parameter sets for modelling heterogeneous neocortical pyramidal-cell populations
负责人:
关键词:
Wistar rat;pyramidal neurons;dynamic IV method;Neocortex;single neuron modelling;reduced neuron models
DOI:
doi:10.5061/dryad.d30k7
摘要:
statistics of the model parameters were respected. By quantifying the parameter statistics we obtained an algorithm which generates populations of model
Data from: Genomic signals of selection predict climate-driven population declines in a migratory bird
负责人:
关键词:
Genomic adaptation;Setophaga petechia;Climate Adaptation
DOI:
doi:10.5061/dryad.dm540
摘要:
t evolutionary adaptation could mitigate climate change impacts, evolution is rarely integrated into predictive models. Integrating population genomics and environment
Data from: Broadband onset inhibition can suppress spectral splatter in the auditory brainstem
负责人:
关键词:
auditory brainstem;computational neuroscience;natural sound processing;auditory neuroscience;theoretical neuroscience
DOI:
doi:10.5061/dryad.7j55c
摘要:
-and-fire (LIF) model of the neurons in this circuit. The post-synaptic potentials of the VNLL cell population were characterized using a method of triggered
Data from: ClonEstiMate, a Bayesian method for quantifying rates of clonality of populations genotyped at two-time steps
负责人:
关键词:
Rate of asexuality;sel?ng;Rate of asexuality;temporal inference;instantaneous inference;Inbreeding;Inbreeding;population genetics model;free software
DOI:
doi:10.5061/dryad.32qh8
摘要:
of the transitions between genotype frequencies of ancestral and descendent populations, using an extended Wright-Fisher model explicitly integrating
Data from: Spatio-temporally explicit model averaging for forecasting of Alaskan groundfish catch
负责人:
Correia, Hannah
关键词:
forecast model averaging spatio-temporal multi-model inference
DOI:
doi:10.5061/dryad.s23g7bc
摘要:
on and relevant environmental factors in forecasting models to obtain more accurate projections of population abundance. The STEMA method is capable
Data from: Combining data?derived priors with postrelease monitoring data to predict persistence of reintroduced populations
负责人:
关键词:
translocation;Petroica longipes;Survival analysis;prior information;reintroduction;population modelling;population viability;Bayesian inference;Fecundity
DOI:
doi:10.5061/dryad.378qm5j
摘要:
ded, comparing models that used informative or uninformative priors. The population grew from about 22 to 80 individuals from 2007 to 2016, with ? estimate
Data from: Soil microbiomes underlie population persistence of an endangered plant species
负责人:
关键词:
Population: dynamics;Plant;Hypericum cumulicola;Ecology: microbial
DOI:
doi:10.5061/dryad.d7p497r
摘要:
l soil microbiome underlies plant population dynamics. Simulations indicated that the presence of soil microbiomes boosted population growth rate
Data from: Twelve years of repeated wild hog activity promotes population maintenance of an invasive clonal plant in a coastal dune ecosystem
负责人:
关键词:
ungulate;disturbance;geophyte;perennial;Tuber;facilitation;Holocene;Sus scrofa;Cyperus esculentus
DOI:
doi:10.5061/dryad.168pg
摘要:
d whether hog activity promoted the long-term maintenance of yellow nutsedge populations on St. Catherine's Island, Georgia, United States. Using generalized linear mixed models

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