Dispersal of blackbird flocks from sunflower fields: efficacy influenced by flock and field size but not drone platform

Author:

Egan Conor C.1,Blackwell Bradley F.2ORCID,Fernández‐Juricic Esteban3ORCID,Klug Page E.4ORCID

Affiliation:

1. North Dakota State University, Environmental and Conservation Sciences Graduate Program Department of Biological Sciences 1340 Bolley Drive Fargo ND 58102 USA

2. U.S. Department of Agriculture, Animal and Plant Health Inspection Service, Wildlife Services, National Wildlife Research Center Ohio Field Station 6100 Columbus Avenue Sandusky OH 44870 USA

3. Purdue University, Department of Biological Sciences Lilly Hall G‐302, 915 W. State Street West Lafayette IN 47907 USA

4. U.S. Department of Agriculture, Animal and Plant Health Inspection Service, Wildlife Services, National Wildlife Research Center, North Dakota Field Station, North Dakota State University Department of Biological Sciences 1340 Bolley Drive Fargo ND 58102 USA

Abstract

AbstractCrop depredation by blackbirds (Icteridae) results in substantial economic losses to the United States sunflower industry, and a solution to effectively reduce damage remains elusive. We evaluated the utility of uncrewed aircraft systems (UAS), or drones, as hazing tools to deter foraging blackbirds from commercial sunflower (Helianthus annuus) fields in North Dakota, USA, between September and October 2017. We compared the efficacy of 3 drones: a fixed‐wing predator model mimicking the form of an aerial raptor, a fixed‐wing airplane of similar size, and a multirotor drone. Multirotor drones are relatively easy to fly and are a multifunctional tool for agricultural use; however, they may not be an effective avian deterrent due to a lack of similarity in appearance with natural predators. Free‐ranging blackbird flocks (n = 58) reacted to every drone approach by initiating flight and took flight 1.6 times sooner for the fixed‐wing predator model (flight initiation distance [FID] = 90 m) and 1.8 times sooner for the fixed‐wing airplane (FID = 98 m) compared to the multirotor drone (FID = 55 m). However, the probability of a blackbird flock (n = 53) abandoning a field was greater with smaller field and flock sizes, rather than the specific drone deployed. In an applied setting, the performance of drones as avian hazing devices will likely depend on a combination of factors including platform selection, drone trajectory, duration of use, season, landscape context, and natural history of the pest species.

Funder

North Dakota State University

Publisher

Wiley

Subject

General Medicine

Reference75 articles.

1. Ampatzidis Y. J.Ward andO.Samara.2015. Autonomous system for pest bird control in specialty crops using unmanned aerial vehicles. 2015 ASABE Annual International Meeting American Society of Agricultural and Biological Engineers New Orleans Louisiana USA.

2. Avian Repellants

3. Typha (Cattail) Invasion in North American Wetlands: Biology, Regional Problems, Impacts, Ecosystem Services, and Management

4. Impact assessment research: use and misuse of habituation, sensitisation and tolerance in describing wildlife responses to anthropogenic stimuli

5. Birds and Sunflower

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