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Data from: Lean-season primary productivity and heat dissipation as key drivers of geographic body-size variation in a widespread marsupial
负责人:
关键词:
Simultaneous autoregressive model;Heat dissipation;Primary productivity;Australian marsupial;Trichosurus vulpecula;Bergmann\u2019s rule;Holocene
DOI:
doi:10.5061/dryad.gq264
摘要:
with increasing mean summer maximum temperature. Spatial autoregression coefficients estimated from the simultaneous autoregressive models were always high
Data from: A spatially explicit hierarchical model to characterize population viability
负责人:
Campbell, Steven
关键词:
capture-recapture CAR model demography multi-state model population viability analysis recruitment Sonoran desert tortoise spatial autoregressive model survival spatial variation
DOI:
doi:10.5061/dryad.v0q5035
摘要:
, spatial autoregressive model for capture-recapture data from multiple locations to obtain spatially explicit estimates of adult survival (Φad), juvenile survival (Φjuv
Data from: Empirical tests of harvest-induced body-size evolution along a geographic gradient in Australian macropods
负责人:
关键词:
Bayesian hierarchical model Bergmann’s rule body size conditional autoregressive model harvesting human-induced evolution
DOI:
doi:10.5061/dryad.c3tc6
摘要:
ons. To do so, we measured more than 2 000 macropod skulls sourced from wildlife collections spanning the last 130 years. We analysed these data using spatial Bayesian models
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:
forecasting models and a modern spatial prediction model: the autoregressive integrated moving averages (ARIMA) model, the Bayesian hierarchical model
Data from: Validating dispersal distances inferred from autoregressive occupancy models with genetic parentage assignments
负责人:
Hall, Laurie
关键词:
Black rail Connectivity Dispersal Metapopulation Occupancy modeling Parentage analysis
DOI:
doi:10.5061/dryad.3bb81dv
摘要:
ween parent-offspring dyads identified with 16 microsatellites. 3.We used a novel autoregressive multi-season occupancy model that accounted for bot
Data from: Modeling the growth and decline of pathogen effective population size provides insight into epidemic dynamics and drive
负责人:
关键词:
effective population size;antimicrobial resistance;MRSA;growth rate;Phylodynamics
DOI:
doi:10.5061/dryad.9qh7t9t
摘要:
owth rate of the effective population size can provide a more realistic prior for epidemic history. We propose a non-parametric autoregressive model on the gr
Data from: Spatially structured statistical network models for landscape genetics
负责人:
关键词:
Landscape Genetics
DOI:
doi:10.5061/dryad.m0h05rt
摘要:
t may affect genetic structure. This includes an overview of spatial autoregressive models, with a particular focus on how correlation and partial correlati
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: Primary productivity explains size variation across the Pallid bat’s (Antrozous pallidus) western geographic range
负责人:
Kelly, Rochelle
关键词:
productivity Geometric morphometrics Bergmann’s rule Spatial autoregressive model
DOI:
doi:10.5061/dryad.c5805
摘要:
t variation in resource availability may be a key factor underlying spatial patterns in size, morphology and, possibly, feeding performance within wide
Data from: Overcompensation and phase effects in a cyclic common vole population: between first and second-order cycles
负责人:
关键词:
density-dependence nonlinear carrying capacity overshoots oscillatory dynamics rodents
DOI:
doi:10.5061/dryad.2hk46
摘要:
autoregressive model, we would conclude only that negative delayed density-dependence exists. The additive structure of this model cannot show when delayed DD occurs

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