Data from: Predicting functional responses in agro-ecosystems from animal movement data to improve management of invasive pests

  • Mark Wilber (Contributor)
  • Sarah Chinn (Contributor)
  • James Beasley (Contributor)
  • Raoul Boughton (Contributor)
  • Ryan Brook (Contributor)
  • Stephen Ditchkoff (Contributor)
  • Justin Fischer (Contributor)
  • Steve Hartley (Contributor)
  • Lindsey Holstrom (Contributor)
  • John Kilgo (Contributor)
  • Jesse Lewis (Contributor)
  • Ryan Miller (Contributor)
  • Nathan Snow (Contributor)
  • Kurt VerCauteren (Contributor)
  • Samantha Wisely (Contributor)
  • Colleen Webb (Contributor)
  • Kim Pepin (Contributor)



Functional responses describe how changing resource availability affects consumer resource use, thus providing a mechanistic approach to prediction of the invasibility and potential damage of invasive alien species (IAS). However, functional responses can be context-dependent, varying with resource characteristics and availability, consumer attributes, and environmental variables. Identifying context-dependencies can allow invasion and damage risk to be predicted across different ecoregions. Understanding how ecological factors shape the functional response in agro-ecosystems can improve predictions of hotspots of highest impact and inform strategies to mitigate damage across locations with varying crop types and availability. We linked heterogeneous movement data across different agro-ecosystems to predict ecologically-driven variability in the functional responses. We applied our approach to wild pigs (Sus scrofa), one of the most successful and detrimental IAS worldwide where agricultural resource depredation is an important driver of spread and establishment. We used continental-scale movement data within agro-ecosystems to quantify the functional response of agricultural resources relative to availability of crops and natural forage. We hypothesized that wild pigs would selectively use crops more often when natural forage resources were low. We also examined how individual attributes such as sex, crop type, and resource stimulus such as distance to crops altered the magnitude of the functional response. There was a strong agricultural functional response where crop use was an accelerating function of crop availability at low density (Type III) and was highly context-dependent. As hypothesized, there was a reduced response of crop use with increasing crop availability when non-agricultural resources were more available, emphasizing that crop damage levels are likely to be highly heterogeneous depending on surrounding natural resources and temporal availability of crops. We found significant effects of crop type and sex – with males spending 20% more time and visiting crops 58% more often than females, and both sexes showing different functional responses depending on crop type. Our application demonstrates how commonly collected animal movement data can be used to understand context-dependencies in resource use to improve our understanding of pest foraging behavior, with implications for prioritizing spatio-temporal hotspots of potential economic loss in agro-ecosystems.,Wilber et al. wild_pig_functional_response_dataThe functional response data used in the manuscript "Predicting functional responses in agro-ecosystems from animal movement data to improve management of invasive pests" published in Ecological Applications. These data are the result of processing each wild pig's movement data using continuous-time movement models (described in the manuscript). These data give the monthly statistics of crop-use, agricultural covariates, and non-agricultural covariates for each pig over its collaring time and were used to make inference on the agricultural functional response of wild pigs.,
Date made availableJan 1 2019

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