FoxNet: An individual-based model framework to support management of an invasive predator, the red fox

Abstract

Invasive predators are a key driver of biodiversity decline, and effective predator management is an important conservation issue globally. The red fox (Vulpes vulpes) poses a significant threat to wildlife, livestock and human health across Eurasia, North America and Australia. Despite worldwide investment in red fox management, decision makers still lack flexible tools for predicting control efficacy. We have developed FoxNet, a spatially explicit, individual-based model (IBM) framework that can be customised to predict red fox population dynamics, including responses to control and landscape productivity. High-resolution models can be run across northern and southern hemisphere landscapes..