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Data from: Richards’s equation and nonlinear mixed models applied to avian growth: why use them?
负责人:
关键词:
random effects;Phalacrocorax atriceps;grouped data;females;maximum growth rate;Growth models;nonlinear mixed models;growth data;asymptotic size
DOI:
doi:10.5061/dryad.s448n5d
摘要:
on of the inflection point which can move freely along the growth curve. Recently, nonlinear mixed models (NLMM) have been used in modeling avian growth because these models
Data from: Very high resolution digital elevation models: are multi-scale derived variables ecologically relevant?
负责人:
关键词:
Digital Elevation Models;multi-scale analysis;Very High Spatial Resolution;local scale;generalized linear models;Temperature and Humidity Loggers;Landolt\u2019s Ecological Indicators
DOI:
doi:10.5061/dryad.43md3
摘要:
e assessed with multivariate Generalized Linear Models (GLM) and Mixed Models (GLMM). Specific VHR DEM-derived variables showed significant associati
Data from: Causes and short-term consequences of variation in milk composition in wild sheep
负责人:
Renaud, Limoilou-Amelie
关键词:
Bayesian modeling ecophysiology hierarchical levels individual differences lactation maternal strategy multivariate analyses
DOI:
doi:10.5061/dryad.5682v7j
摘要:
of multivariate modelsMultivariate Hierarchical Modeling (MHM) with latent variables ? which allow to statistically estimate unstructured covariances/correlations amo
Data from: Genetic basis of adult migration timing in anadromous steelhead discovered through multivariate association testing
负责人:
关键词:
GWAS;Anadromous fishes;Migratory species;Oncorhynchus mykiss;Holocene
DOI:
doi:10.5061/dryad.62q6n
摘要:
on owing to high levels of interbreeding, but a univariate mixed linear model found three SNPs from a major effect gene to be significantly associated with migrati
Data from: Assessing the joint behavior of species traits as filtered by environment
负责人:
关键词:
Restio;Pelargonium;Erica;Protea;community assembly
DOI:
doi:10.5061/dryad.2vk03
摘要:
t incorporate intra-taxon variability as well as inter-site/plot variability. Using a Bayesian framework, our joint trait distribution models allow for mixed
Data from: From fine-scale foraging to home ranges: a semi-variance approach to identifying movement modes across spatiotemporal scales
负责人:
关键词:
Behavior Dispersal Ecology: statistical Modeling: stochastic spatial Statistics: spatial Theory Grasslands ungulates
DOI:
doi:10.5061/dryad.45157
摘要:
, continuous-time stochastic movement models in terms of their SVFs, connect them to relocation data via variogram regression, and compare them usi
Data from: Novel sources of (co)variation in nestling begging behavior and hunger at different biological levels of analysis
负责人:
关键词:
offspring feeding;offspring need;parent-offspring conflict;parental care;offspring size;Offspring solicitation
DOI:
doi:10.5061/dryad.63xsj3v0c
摘要:
a partial cross-fostering study on a wild population of great tits (Parus major), then used multivariate mixed-models to partition variation and covariati
Data from: Sex-specific and individual preferences for hunting strategies in white sharks
负责人:
关键词:
2010-2014;foraging mode;acoustic telemetry;predator-prey;fine scale movement;Carcharodon carcharias
DOI:
doi:10.5061/dryad.q90fm
摘要:
but there has been less focus on the strategies they use to encounter prey. We applied mixed hidden Markov models to acoustic tracking data of white shar
Data from: Species distribution models of an endangered rodent offer conflicting measures of habitat quality at multiple scales
负责人:
关键词:
giant kangaroo rat habitat suitability mark-recapture Maxent survival abundance
DOI:
doi:10.5061/dryad.3c5r8
摘要:
on in environmental covariates; unmeasured community processes or stochastic events; or the inadequacy of using models that predict species presence to also predict

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