Simulation of genetic change under four removal strategies for a wild horse population

By: , and 

Links

Abstract

Small and/or artificially reduced populations can suffer genetic erosion with long-term consequences to population fitness and persistence. However, managers must periodically remove free-roaming horses from the landscape to reduce the risk of habitat degradation. We developed an individual-based population simulation model to evaluate the expected change in genetic diversity after 100 years under each of four removal strategies for the wild horse population in the Pryor Mountain management area with removals occurring every 5 years, and assuming that no additional horses are introduced to the herd. We found that long generations and high survival rates of this wild horse population guard against rapid loss of genetic diversity for all scenarios in general. However, scenarios that included a removal strategy prioritizing individuals for removal based on relatedness initially increased mean genetic diversity that was subsequently maintained at a higher level than strategies that randomly selected individuals for removal.
Publication type Report
Publication Subtype Other Government Series
Title Simulation of genetic change under four removal strategies for a wild horse population
Year Published 2023
Language English
Publisher Bureau of Land Management
Contributing office(s) Fort Collins Science Center
Description 49 p.
Google Analytic Metrics Metrics page
Additional publication details