Literature DB >> 32441766

Zooming in on mechanistic predator-prey ecology: Integrating camera traps with experimental methods to reveal the drivers of ecological interactions.

Justine A Smith1, Justin P Suraci2, Jennifer S Hunter3, Kaitlyn M Gaynor4, Carson B Keller5, Meredith S Palmer6, Justine L Atkins6, Irene Castañeda7,8, Michael J Cherry9, Patrick M Garvey10, Sarah E Huebner11, Dana J Morin12, Lisa Teckentrup13, Martijn J A Weterings14,15, Lydia Beaudrot16.   

Abstract

Camera trap technology has galvanized the study of predator-prey ecology in wild animal communities by expanding the scale and diversity of predator-prey interactions that can be analysed. While observational data from systematic camera arrays have informed inferences on the spatiotemporal outcomes of predator-prey interactions, the capacity for observational studies to identify mechanistic drivers of species interactions is limited. Experimental study designs that utilize camera traps uniquely allow for testing hypothesized mechanisms that drive predator and prey behaviour, incorporating environmental realism not possible in the laboratory while benefiting from the distinct capacity of camera traps to generate large datasets from multiple species with minimal observer interference. However, such pairings of camera traps with experimental methods remain underutilized. We review recent advances in the experimental application of camera traps to investigate fundamental mechanisms underlying predator-prey ecology and present a conceptual guide for designing experimental camera trap studies. Only 9% of camera trap studies on predator-prey ecology in our review use experimental methods, but the application of experimental approaches is increasing. To illustrate the utility of camera trap-based experiments using a case study, we propose a study design that integrates observational and experimental techniques to test a perennial question in predator-prey ecology: how prey balance foraging and safety, as formalized by the risk allocation hypothesis. We discuss applications of camera trap-based experiments to evaluate the diversity of anthropogenic influences on wildlife communities globally. Finally, we review challenges to conducting experimental camera trap studies. Experimental camera trap studies have already begun to play an important role in understanding the predator-prey ecology of free-living animals, and such methods will become increasingly critical to quantifying drivers of community interactions in a rapidly changing world. We recommend increased application of experimental methods in the study of predator and prey responses to humans, synanthropic and invasive species, and other anthropogenic disturbances.
© 2020 British Ecological Society.

Entities:  

Keywords:  antipredator behaviour; camera trap; detection; experiments; landscape of fear; predator recognition; prey selection

Year:  2020        PMID: 32441766     DOI: 10.1111/1365-2656.13264

Source DB:  PubMed          Journal:  J Anim Ecol        ISSN: 0021-8790            Impact factor:   5.091


  4 in total

1.  Asymmetrical intraguild interactions with coyotes, red foxes, and domestic dogs may contribute to competitive exclusion of declining gray foxes.

Authors:  Dana J Morin; Damon B Lesmeister; Clayton K Nielsen; Eric M Schauber
Journal:  Ecol Evol       Date:  2022-07-04       Impact factor: 3.167

Review 2.  Noninvasive Genetic Assessment Is an Effective Wildlife Research Tool When Compared with Other Approaches.

Authors:  Miriam A Zemanova
Journal:  Genes (Basel)       Date:  2021-10-23       Impact factor: 4.096

3.  Behavioral "bycatch" from camera trap surveys yields insights on prey responses to human-mediated predation risk.

Authors:  A Cole Burton; Christopher Beirne; Catherine Sun; Alys Granados; Michael Procko; Cheng Chen; Mitchell Fennell; Alexia Constantinou; Chris Colton; Katie Tjaden-McClement; Jason T Fisher; Joanna Burgar
Journal:  Ecol Evol       Date:  2022-07-17       Impact factor: 3.167

4.  Antipredator behaviors in urban settings: Ecological experimentation powered by citizen science.

Authors:  Benjamin Zuckerberg; Jennifer D McCabe; Neil A Gilbert
Journal:  Ecol Evol       Date:  2022-09-09       Impact factor: 3.167

  4 in total

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