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Monday, April 9 • 11:45am - 12:00pm
SYMPOSIA-04: SODA-POP: Building Population-Level Functionality into a Spatially-Explicit Individual-based Model of Human Disturbance on Animals

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AUTHORS: Laura E. D'Acunto*, Patrick A. Zollner – Purdue University

ABSTRACT: The growing popularity of ecotourism and recreational activities within natural areas has increased the frequency and density of humans using these areas. This disturbance can have cascading effects on animal behaviors such as increased vigilance, avoidance of preferred habitat frequented by humans, and decreases in offspring care. Each of these behaviors can lead to decreased individual fitness or a decrease in fitness at the population level. Simulation of Disturbance Activities (SODA) is an established spatially-explicit, individual-based simulation modelling tool developed to explore the impacts of human recreation on individual animal behavior and fitness and to identify potential management strategies to mitigate these adverse impacts. The tool has been successfully applied to a wide range of taxa that experience human recreational disturbance from endangered butterflies, a passerine bird community, bats, and nesting golden eagles. In its current form, SODA does not explicitly address population-level impacts of human disturbance on simulated wildlife. Here, we present a Python-based tool that works as a wrap-around program to SODA which uses simulation output to generate population level data and generates spatially-explicit inputs for the next simulation in a time-series. Used together with SODA, SODA-POP asks the user to identify how population parameters such as survival, births, immigration, and emigration should be defined and then generates the necessarily data files for assessing population-level impacts of human disturbance in the model. We demonstrate this new tool’s utility with a case study on the potential population-level impacts of human disturbance to bat maternity roosts over a decade within central Indiana forests.

Monday April 9, 2018 11:45am - 12:00pm
Adams Room

Attendees (15)