Optimising fire and predator management for conservation

Interactions between threatening processes compound and accelerate biodiversity decline. Conservation managers need to understand how co-occurring threats interact and account for such interactions when prioritising when, where, and how to manage landscapes to recover declining species. Using the Upper Warren region in south-western Australia as a case study, we develop a framework for identifying optimal fire age classes while also considering predation by introduced red foxes (Vulpes vulpes) – two co-occurring processes affecting the recovery of a threatened faunal community (woylie Bettongia penicillata, chuditch Dasyurus geoffroii, quenda Isoodon fusciventor, and numbat Myrmecobius fasciatus). We fitted a multi-species relative abundance model to a dataset from 548 camera trap sites and tested for associations between each species’ relative abundance and an interaction between fox baiting intensity and time since fire. We then used linear programming optimization to identify the opt..., , # Optimising fire and predator management for conservation

[https://doi.org/10.5061/dryad.b8gtht7s3](https://doi.org/10.5061/dryad.b8gtht7s3)

Scripts and data for analysis of the manuscript:

Optimising fire and predator management for conservation

William L. Geary, Ayesha I.T. Tulloch, Tim S. Doherty, Dale G. Nimmo, Euan G. Ritchie, Jeffrey O. Hanson, Marika A. Maxwell & Adrian F. Wayne

Corresponding author: William L. Geary ([[e-mail]](mailto:[e-mail]))

### Description of the data and file structure

#### Files and variables

**Folder: data_JAPPL-2024-00590.zip**

All files necessary to replicate this analysis are contained within this folder. The ReadMe below outlines each file in detail.

R Project: UW_MultiSppFire.Rproj

This analysis can be replicated by opening the R project and running each script sequentially, except for:

\- Script 1 which creates the species detection histories used for modelling. The output detection histories of Scri...,