Bayesian multivariate demographic modeling (Aves)

Knowledge graph centered on Bayesian multivariate demographic modeling (Aves) with 52 nodes and 151 connections. Top connected: Colorado East River Valley, Callospermophilus lateralis, Spermophilus, birds and mammals, Songbirds.

Method synopsis

Multivariate capture-recapture models fitted in Bayesian framework to simultaneously estimate temporal variation and covariation in multiple demographic parameters. Uses multivariate normal distributions for temporal random effects to derive correlation estimates.

Synthesized from method descriptions across 1 paper using this protocol.

Procedure from a recent peer-reviewed implementation

Steps below were extracted from the most recent peer-reviewed implementation of this protocol in the corpus — Temporal correlations among demographic parameters are ubiquitous but highly variable across species (2022), Ecology Letters. Implementations in other papers (listed below) may differ.

1. Bayesian model fitting
   Multivariate capture-recapture models were fitted using Markov chain Monte Carlo (MCMC) methods. Temporal random effects followed multivariate normal distributions to estimate correlations among demographic parameters
   Quantities: 3000 values extracted from three Markov chains, with 3000-30000 iterations, burn-in 1000-5000, thinning intervals 1-25Duration: Model convergence varied according to difficultyConditions: Prior sensitivity analysis conducted, Parameter Expansion used for variance-covariance matrix
   Equipment: JAGS software, R package jagsUI

Typical Equipment

• JAGS software
• R package jagsUI

Output Measurements

• demographic parameter correlations
• temporal variance estimates

Papers Using This Protocol (1)

Species Studied With This Protocol

Places Where Used