Incorporating pyrodiversity into wildlife habitat assessments for rapid post-fire management: A woodpecker case study

Spatial and temporal variation in fire characteristics – termed pyrodiversity – are increasingly recognized as important factors that structure wildlife communities in fire-prone ecosystems, yet there have been few attempts to incorporate pyrodiversity or post-fire habitat dynamics into predictive models of animal distributions and abundance to support post-fire management. We use the black-backed woodpecker – a species associated with burned forests – as a case study to demonstrate a pathway for incorporating pyrodiversity into wildlife habitat assessments for adaptive management. Employing monitoring data (2009–2019) from post-fire forests in California, we developed three competing occupancy models describing different hypotheses for habitat associations: (1) a static model representing an existing management tool, (2) a temporal model accounting for years since fire, and (3) a temporal-landscape model which additionally incorporates emerging evidence from field studies about the inf..., , This data package includes three components:
(1) Text files of JAGS model code.
(2) .csv files with input data to run models and conduct the analysis.
(3) A README file with definitions of variables.
Descriptions of code files:Run_StaticModel.txt. Specification of a Bayesian single-season occupancy model for black-backed woodepckers. This model corresponds to the \"static model\" in the main text. Run using R version 4.1.0 and JAGS version 4.3.0.Run_TemporalModel.txt. Specification of a Bayesian temporal auto-logistic occupancy model for black-backed woodepckers. This model corresponds to the \"temporal model\" in the main text. Run using R version 4.1.0 and JAGS version 4.3.0.
Run_LandscapeTemporalModel.txt. Specification of a Bayesian temporal auto-logistic occupancy model for black-backed woodepckers. This model corresponds to the \"landscape temporal model\" in the main text. Run using R version 4.1.0 and JAGS version 4.3.0.