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Data from: Inferring the geographic origin of a range expansion: latitudinal and longitudinal coordinates inferred from genomic data in an ABC
负责人:
关键词:
Last Glacial Maximum;range expansion;ABC;niche modeling;?-statistics;expansion origin;Ochotona collaris
DOI:
doi:10.5061/dryad.4s1gg
摘要:
the geographic origin of range expansion using a spatially explicit coalescent model and an Approximate Bayesian Computation testing framework. In addition to assessi
Data from: A clinical decision support system learned from data to personalize treatment recommendations towards preventing breast cancer metastasis
负责人:
关键词:
treatment;clinical;metastasis;Decision Support;Bayesian network;Breast Cancer;electronic health records;Holocene;EHR;H. sapiens
DOI:
doi:10.5061/dryad.64964m0
摘要:
. Method: We developed a Bayesian network architecture called Causal Modeling with Internal Layers (CAMIL), and an algorithm called Treatment
Data from: Inferring invasive species abundance using removal data from management actions
负责人:
关键词:
Bayesian hierarchical model;removal sampling;feral swine;catch-effort method;population monitoring;Sus scrofa;invasive species
DOI:
doi:10.5061/dryad.67nb3
摘要:
(0.70). Based on our post-validation method, 78% of our site/time frame estimates were accurate. To use this modeling framework it is important to hav
Data from: Towards a predictive model of species interaction beta diversity
负责人:
关键词:
Portland;Bayesian;species turnover.;interaction beta-diversity;Prediction;Network ecology;Scale;evolutionary history;dissimilarity;rewiring;interaction turnover;Trochilidae
DOI:
doi:10.5061/dryad.3gd34v2
摘要:
and testing data, to show that including models of detectability and occurrence improves forecasts of mutualistic interactions. We then extend our model
Data from: Ensemble approach for potential habitat mapping of invasive Prosopis in Turkana, Kenya
负责人:
关键词:
2017;SDM;invasive species;Prosopis Juliflora
DOI:
doi:10.5061/dryad.sk4410m
摘要:
ng of four species distribution models: (a) logistic regression, (b) maximum entropy, (c) random forest, and (d) Bayesian networks. The models were evaluated through a block cross
Data from: Safari science: assessing the reliability of citizen science data for wildlife surveys
负责人:
Steger, Cara
关键词:
validation hierarchical modeling monitoring citizen science Bayesian data reconciliation protected areas observer bias
DOI:
doi:10.5061/dryad.mb7qk
摘要:
implementation, and separate data models should be used when VCS variability differs from trained ecologists’ data. Partnerships across protected areas and bet
Data from: Comparison of methods for molecular species delimitation across a range of speciation scenarios
负责人:
关键词:
molecular species delimitation;Multispecies coalescent;Bayesian phylogenetics;Simulation;generalized mixed Yule-coalescent;Poisson tree processes;speciation
DOI:
doi:10.5061/dryad.739bs
摘要:
e designed for the analysis of single-locus data but are often applied to concatenations of multilocus data. In contrast, the Bayesian multispecies coales
Data from: Distributional shifts – not geographic isolation – as a probable driver of montane species divergence
负责人:
关键词:
coalescent modeling;Melanoplus oregonensis;Holocene;speciation;phylogeography;Pleistocene
DOI:
doi:10.5061/dryad.6v4ks
摘要:
ed as a diffusion process or was informed by differences in habitat suitabilities across the landscape. With validation analyses to confirm the models provide a good fit

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