Literature DB >> 27218843

Best practice for minimising unmanned aerial vehicle disturbance to wildlife in biological field research.

Jarrod C Hodgson1, Lian Pin Koh2.   

Abstract

The use of unmanned aerial vehicles (UAVs), colloquially referred to as 'drones', for biological field research is increasing [1-3]. Small, civilian UAVs are providing a viable, economical tool for ecology researchers and environmental managers. UAVs are particularly useful for wildlife observation and monitoring as they can produce systematic data of high spatial and temporal resolution [4]. However, this new technology could also have undesirable and unforeseen impacts on wildlife, the risks of which we currently have little understanding [5-7]. There is a need for a code of best practice in the use of UAVs to mitigate or alleviate these risks, which we begin to develop here.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2016        PMID: 27218843     DOI: 10.1016/j.cub.2016.04.001

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  10 in total

1.  Biology goes in the air: Unmanned aerial vehicles offer biologists an efficient tool for observation and sampling from a safe distance.

Authors:  Howard Wolinsky
Journal:  EMBO Rep       Date:  2017-07-25       Impact factor: 8.807

Review 2.  Challenges and solutions for studying collective animal behaviour in the wild.

Authors:  Lacey F Hughey; Andrew M Hein; Ariana Strandburg-Peshkin; Frants H Jensen
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2018-05-19       Impact factor: 6.237

3.  An accurate and adaptable photogrammetric approach for estimating the mass and body condition of pinnipeds using an unmanned aerial system.

Authors:  Douglas J Krause; Jefferson T Hinke; Wayne L Perryman; Michael E Goebel; Donald J LeRoi
Journal:  PLoS One       Date:  2017-11-29       Impact factor: 3.240

4.  Quantifying Nearshore Sea Turtle Densities: Applications of Unmanned Aerial Systems for Population Assessments.

Authors:  Seth T Sykora-Bodie; Vanessa Bezy; David W Johnston; Everette Newton; Kenneth J Lohmann
Journal:  Sci Rep       Date:  2017-12-18       Impact factor: 4.379

Review 5.  Unmanned aircraft systems as a new source of disturbance for wildlife: A systematic review.

Authors:  Margarita Mulero-Pázmány; Susanne Jenni-Eiermann; Nicolas Strebel; Thomas Sattler; Juan José Negro; Zulima Tablado
Journal:  PLoS One       Date:  2017-06-21       Impact factor: 3.240

6.  Localised anthropogenic wake generates a predictable foraging hotspot for top predators.

Authors:  Lilian Lieber; W Alex M Nimmo-Smith; James J Waggitt; Louise Kregting
Journal:  Commun Biol       Date:  2019-04-04

7.  Mapping out bare-nosed wombat (Vombatus ursinus) burrows with the use of a drone.

Authors:  Julie M Old; Simon H Lin; Michael J M Franklin
Journal:  BMC Ecol       Date:  2019-09-18       Impact factor: 2.964

8.  Applications of unmanned aerial vehicles in Antarctic environmental research.

Authors:  Antonio Tovar-Sánchez; Alejandro Román; David Roque-Atienza; Gabriel Navarro
Journal:  Sci Rep       Date:  2021-11-05       Impact factor: 4.379

9.  Evaluating behavioral responses of nesting lesser snow geese to unmanned aircraft surveys.

Authors:  Andrew Barnas; Robert Newman; Christopher J Felege; Michael P Corcoran; Samuel D Hervey; Tanner J Stechmann; Robert F Rockwell; Susan N Ellis-Felege
Journal:  Ecol Evol       Date:  2017-12-25       Impact factor: 2.912

10.  Understanding meta-population trends of the Australian fur seal, with insights for adaptive monitoring.

Authors:  Rebecca R McIntosh; Steve P Kirkman; Sam Thalmann; Duncan R Sutherland; Anthony Mitchell; John P Y Arnould; Marcus Salton; David J Slip; Peter Dann; Roger Kirkwood
Journal:  PLoS One       Date:  2018-09-05       Impact factor: 3.240

  10 in total

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