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Data from: Environmental and historical imprints on beta diversity: insights from variation in rates of species turnover along gradients
负责人:
关键词:
beta diversity;distance decay;Seed dispersal;History;plant species distributions;generalized dissimilarity modeling;environmental gradients
DOI:
doi:10.5061/dryad.81p60
摘要:
A common approach for analysing geographical variation in biodiversity involves using linear models to determine the rate at which species similar
Data from: Extending null scenarios with Faddy distributions in a probabilistic randomization protocol for presence-absence data
负责人:
关键词:
generalized linear models;null models;Presence\u2013absence data;randomization tests
DOI:
doi:10.5061/dryad.p2ngf1vn5
摘要:
t probability by generalized linear modelling, which is used, in turn, to generate random matrices via parametric bootstrap. The question now is whether just thr
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:
. I conducted a 10-year demographic monitoring study, and quantified vital rate variation among sites and years using generalized linear models. I incorpora
Data from: Climate change and temporal trends in body size: the case of rodents
负责人:
关键词:
endothermic species;Rodents;temporal changes in body size;Bergmann\u2019s rule;Holocene
DOI:
doi:10.5061/dryad.3q67545
摘要:
.2%) decreased their size during the 20th century; 2) phylogenetic generalized linear mixed models indicate that there is a significant and ne
Data from: Nonlinear responses of soil nematode community composition to increasing aridity
负责人:
关键词:
biodiversity;July and August 2012;aridity;soil nematode community;non-linear response;global climate change;grassland transect
DOI:
doi:10.5061/dryad.290nr65
摘要:
and August 2012. Major taxa studied: Soil-borne Nematoda. Methods: We used Generalized Additive (Mixed) Models to analyze the abundance, richne
Data from: Genomic prediction accuracies in space and time for height and wood density of Douglas-fir using exome capture as the genotyping platform
负责人:
关键词:
Genotype x environment interaction;Predictive model;Exome Capture;Douglas-fir;Genomic selection;Full-sib families;Pseudotsuga menziesii Mirb. (Franco)
DOI:
doi:10.5061/dryad.vk048
摘要:
egressed estimated breeding values (DEBVs) as phenotypes. Representing models with (EBVs) and without (DEBVs) pedigree structure. Ridge regression best linear unbiased predictor (RR
Data from: Aerobic power and flight capacity in birds: a phylogenetic test of the heart-size hypothesis
负责人:
Nespolo, Roberto F
关键词:
OU models aerobic power comparative phylogenetics flight heart size
DOI:
doi:10.5061/dryad.1th6k
摘要:
y size and/or testing for adaptive trends in the dataset (e.g., model selection approaches, phylogenetic generalized linear models), we found that (residuals of) hear
Data from: pLARmEB: integration of least angle regression with empirical Bayes for multilocus genome-wide association studies
负责人:
关键词:
DOI:
doi:10.5061/dryad.sk652
摘要:
s computing time than Bayesian hierarchical generalized linear model, efficient mixed model association (EMMA) and least angle regression plus empirical

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