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Data from: Hierarchical Bayesian model reveals the distributional shifts of Arctic marine mammals
负责人:
关键词:
hierarchical Bayesian modelling;Phoca hispida;Arctic marine mammals;Odobenus rosmarus rosmarus;Poisson point process;species distribution;extensive transect survey;data integration;Ursus maritimus
DOI:
doi:10.5061/dryad.22c867m
摘要:
). We mapped the data on a grid and built a hierarchical Poisson point process model to analyze species’ densities. The heterogeneous data lacked inf
Data from: Accounting for genotype uncertainty in the estimation of allele frequencies in autopolyploids
负责人:
关键词:
hierarchical Bayesian modeling;genotyping by sequencing;polyploidy;population genomics;RADseq;allelic dosage uncertainty
DOI:
doi:10.5061/dryad.t297p
摘要:
timation in a unified inferential framework using a hierarchical Bayesian model to sum over genotype uncertainty. Simulated data sets were generated under var
Data from: Safari science: assessing the reliability of citizen science data for wildlife surveys
负责人:
Steger, Cara
关键词:
hierarchical modeling monitoring citizen science validation Bayesian data reconciliation protected areas observer bias
DOI:
doi:10.5061/dryad.mb7qk
摘要:
vs. data produced by trained ecologists, presenting a hierarchical framework for integrating diverse datasets to assess extra variability from VCS data.
Data from: Phenotypic landscapes: phenological patterns in wild and cultivated barley
负责人:
关键词:
quantitative genetics;Ecological Genetics;Hordeum spontaneum;Artificial selection;Phenotypic Plasticity;plants;population genetics;Adaptation
DOI:
doi:10.5061/dryad.ph35f
摘要:
it was estimated using a hierarchical Bayesian model and compared to neutral differentiation (Fst) based on 42 microsatellite markers. This analysis indicated tha
Data from: How characteristic is the species characteristic selection scale?
负责人:
关键词:
Multi-scale;N-mixture;SCSS;Bayesian latent indicator scale selection;BLISS;hierarchical model;spatial scale;species-environment relationship;species-habitat
DOI:
doi:10.5061/dryad.31ks8p5
摘要:
hierarchical N-mixture models relating species abundance to landcover variables. By incorporating Bayesian latent indicator scale selection, we identified
Data from: Latitudinal limit not a cold limit: Cold temperatures do not constrain an endangered tree species at its northern edge
负责人:
关键词:
cold range limits;hierarchical Bayes;latitudinal limit;niche limits;Range limits;species at risk;Species distribution model
DOI:
doi:10.5061/dryad.q83bk3jf9
摘要:
d a hierarchical Bayesian model (HBM) to combine multiple scales, sources, qualities and types of species data. We jointly examined the climate influence on occupancy across scales
Data from: Historical biogeography of endemic seed plant genera in the Caribbean: did GAARlandia play a role?
负责人:
关键词:
historical biogeography
DOI:
doi:10.5061/dryad.gq93s
摘要:
mining divergence times of endemic genera to test whether the hypothesized Greater Antilles and Aves Ridge (GAARlandia) land bridge played a role in the archi
Data from: Differences in spatial synchrony and interspecific concordance inform guild-level population trends for aerial insectivorous birds
负责人:
关键词:
aerial insectivorous birds population synchrony spatial concordance North American Breeding Bird Survey
DOI:
doi:10.5061/dryad.364mb
摘要:
were derived from Bayesian hierarchical models with continuous autoregressive spatial structures. Stratum-level spatial concordance among species
Data from: Short-distance barriers affect genetic variability of Rhizophora mangle L. in the Yucatan Peninsula
负责人:
关键词:
microsatellites;Scrub mangroves;morphological traits;Rhizophora mangle;ecological barriers
DOI:
doi:10.5061/dryad.1578ks0
摘要:
hierarchical levels with nine microsatellites, also Bayesian inference and Principal Coordinates Analysis were used. We found a great morphological varia
Data from: Examining the microclimate hypothesis in Amazonian birds: indirect tests of the ‘visual constraints’ mechanism
负责人:
关键词:
dawn song;Habitat Degradation;eye size;light environments;vulnerability;neotropics;Holocene
DOI:
doi:10.5061/dryad.8301107
摘要:
lit rainforest interior from using edges, gaps, or disturbed forest. Using a hierarchical Bayesian framework and capture data across time and space

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