Nonstationary demographic state-space models: R and JAGS code
February 18, 2025
This repository contains R and JAGS code for fitting nonstationary demographic state-space models (NDSSM) to count-valued abundance data. Models use reduced dynamics but explicitly characterize growth rate distributions, including changepoints and/or volatility clustering for the timing and impacts of environmental stressors. Species fecundity is used to truncate growth rate distributions, allowing separation of demographic processes affecting latent abundance from migration and observation processes. The code contains tools for a workflow that includes fitting models, making abundance and growth rate predictions, calculating model scores, and visualizing the fitted population abundance predictions with observed counts.
Citation Information
Publication Year | 2025 |
---|---|
Title | Nonstationary demographic state-space models: R and JAGS code |
DOI | 10.5066/P14CU78E |
Authors | Ashton M. Wiens, Teresa F Bohner, Bradley J Udell, Wayne E Thogmartin |
Product Type | Software Release |
Record Source | USGS Asset Identifier Service (AIS) |
USGS Organization | Geology, Energy & Minerals Science Center |
Rights | This work is marked with CC0 1.0 Universal |
Related
Ashton Wiens, Ph.D.
Mathematical Statistician
Mathematical Statistician
Email
Wayne E Thogmartin, PhD
Research Ecologist
Research Ecologist
Email
Phone
Related
Ashton Wiens, Ph.D.
Mathematical Statistician
Mathematical Statistician
Email
Wayne E Thogmartin, PhD
Research Ecologist
Research Ecologist
Email
Phone