Multi-scale predictors of farrowing site selection of wild pigs (Sus scrofa)

The ability to monitor and anticipate reproductive activity is essential to effectively control invasive wildlife species, especially for globally-distributed vertebrates like wild pigs ( Sus scrofa ) that incur immense management costs each year. While recent studies have made substantial progress in clarifying the temporal dynamics of wild pig reproductive ecology, several aspects of the spatial dynamics of wild pig reproductive ecology warrant additional attention. Specifically, the factors that influence selection of nesting sites (called farrowing sites for wild pigs) are understudied. While previous studies have characterized nest dimensions, composition, and associated plant species, the multi-scale vegetation community composition and environmental predictors of farrowing site selection are relatively uncharacterized. To better understand the spatial component of wild pig farrowing site resource selection, we assessed the fine- and broad-scale land cover and environmental predictors for 24 mature female wild pigs at the Savannah River Site in South Carolina, USA, between May 2016 – February 2020. Wild pigs monitored in our study established farrowing sites in areas with diverse understory vegetation and were always near water. Compared to farrowing sites used in autumn-winter, sites used in spring-summer had greater light intensity but not greater canopy cover. Nests were predominantly located in upland pine stands or hardwood-dominated riparian areas, and selection was generally proportional to the land cover composition of the study area. Distance to water was the only statistically predictive broad-scale land cover covariate of farrowing site selection in our study. Fine-scale vegetation analyses outperformed broad-scale analyses for predicting farrowing site selection, which inherently hinder managers’ ability to use publicly-available satellite imagery to readily identify areas where parturition is most likely to occur. Therefore, knowledge of fine-scale vegetation composition of an area can improve managers’ ability to discover active or recently used farrowing sites—signals of reproductive activity that are essential for managers to monitor during intensive management or eradication programs. Overall, understanding the spatial patterns of reproduction is important for managing and eradicating target invasive species, and the ability to monitor and anticipate where reproduction occurs around peak reproductive periods can guide management efforts. • Twenty-four wild pig farrowing sites were identified over a four-year period • Developed multi-scale predictive models of farrowing sites • Farrowing sites had diverse vegetation and were always near water • Fine-scale vegetation better predicted farrowing sites than broad-scale cover • Findings give insights into wild pig farrowing ecology to support management

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Publication Details

Journal
Applied Animal Behaviour Science
Published
2025-11-28
DOI
https://doi.org/10.1016/j.applanim.2025.106874
Primary Topic
Wildlife Ecology and Conservation
Type
article
Field-Weighted Citation Impact
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article

Multi-scale predictors of farrowing site selection of wild pigs (Sus scrofa)

James C. Beasley, David A. Keiter, Linda Lee, Sarah M. Chinn et al.
Applied Animal Behaviour Science
Wildlife Ecology and Conservation
article

Multi-scale predictors of farrowing site selection of wild pigs (Sus scrofa)

James C. Beasley, David A. Keiter, Linda Lee, Sarah M. Chinn, Travis E. Stoakley
article en

Abstract

The ability to monitor and anticipate reproductive activity is essential to effectively control invasive wildlife species, especially for globally-distributed vertebrates like wild pigs ( Sus scrofa ) that incur immense management costs each year. While recent studies have made substantial progress in clarifying the temporal dynamics of wild pig reproductive ecology, several aspects of the spatial dynamics of wild pig reproductive ecology warrant additional attention. Specifically, the factors that influence selection of nesting sites (called farrowing sites for wild pigs) are understudied. While previous studies have characterized nest dimensions, composition, and associated plant species, the multi-scale vegetation community composition and environmental predictors of farrowing site selection are relatively uncharacterized. To better understand the spatial component of wild pig farrowing site resource selection, we assessed the fine- and broad-scale land cover and environmental predictors for 24 mature female wild pigs at the Savannah River Site in South Carolina, USA, between May 2016 – February 2020. Wild pigs monitored in our study established farrowing sites in areas with diverse understory vegetation and were always near water. Compared to farrowing sites used in autumn-winter, sites used in spring-summer had greater light intensity but not greater canopy cover. Nests were predominantly located in upland pine stands or hardwood-dominated riparian areas, and selection was generally proportional to the land cover composition of the study area. Distance to water was the only statistically predictive broad-scale land cover covariate of farrowing site selection in our study. Fine-scale vegetation analyses outperformed broad-scale analyses for predicting farrowing site selection, which inherently hinder managers’ ability to use publicly-available satellite imagery to readily identify areas where parturition is most likely to occur. Therefore, knowledge of fine-scale vegetation composition of an area can improve managers’ ability to discover active or recently used farrowing sites—signals of reproductive activity that are essential for managers to monitor during intensive management or eradication programs. Overall, understanding the spatial patterns of reproduction is important for managing and eradicating target invasive species, and the ability to monitor and anticipate where reproduction occurs around peak reproductive periods can guide management efforts. • Twenty-four wild pig farrowing sites were identified over a four-year period • Developed multi-scale predictive models of farrowing sites • Farrowing sites had diverse vegetation and were always near water • Fine-scale vegetation better predicted farrowing sites than broad-scale cover • Findings give insights into wild pig farrowing ecology to support management

Applied Animal Behaviour ScienceVol. 294
NOAA National Marine Fisheries Service (US), National Oceanic and Atmospheric Administration (US), Oregon Department of Fish and Wildlife (US), University of Georgia (US), Savannah River National Laboratory (US), NOAA National Marine Fisheries Service Alaska Fisheries Science Center (US)
Openalex Percentile: Top 64%
Wildlife Ecology and Conservation
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