Skip to main content
Log in

Sensitivity of Adélie and Gentoo penguins to various flight activities of a micro UAV

  • Original Paper
  • Published:
Polar Biology Aims and scope Submit manuscript

Abstract

A recent increase in the use of unmanned aerial vehicles (UAVs)—also known as remotely piloted aircraft (RPA)—in the Antarctic in private, commercial and scientific sectors suggests that operational guidelines are urgently needed. One of the factors inhibiting adoption of such guidelines is the lack of knowledge about the impact of UAVs on wildlife. During the austral summer field season of 2014/15, data were gathered on the behavioural reactions to UAVs of Gentoo (Pygoscelis papua) and Adélie penguins (Pygoscelis adeliae), both resident breeding species on Ardley Island, King George Island, South Shetland Islands. A series of overflights at different altitudes above the nesting penguins were conducted with a small octocopter UAV, and their behaviour was recorded by video. Penguin behaviour altered as a result of the UAV flights, and behavioural reactions were more pronounced when the UAV was flown at lower altitudes. In Adélie penguins, behavioural reactions caused by the UAV were evident at the highest tested altitude of 50 m, while in Gentoo penguins reactions were evident from 30 m downwards. For both species, the reactions increased markedly when the UAV was flown at low altitudes of 10–20 m. Gentoo penguins showed significant reactions when the UAV was launched at distances closer than 20 m. There was some evidence of habituation to the UAV at some altitudes for horizontal flights, but no evidence of habituation in vertical flights.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  • ATCM (2014) Final Report of the Thirty-seventh Antarctic Treaty Consultative Meeting Vol 1. Secretariat of the Antarctic Treaty, Brasilia, Brazil

  • ATCM (2015) Final Report of the Thirty-eighth Antarctic Treaty Consultative Meeting Vol 1. Secretariat of the Antarctic Treaty, Sofia, Bulgaria

  • ATCM (2018) Final Report of the Forty-first Antarctic Treaty Consultative Meeting—preliminary version Vol 1. Secretariat of the Antarctic Treaty, Buenos Aires, Argentina

  • Bhardwaj A, Sam L, Martín-Torres FJ, Kumar R (2016) UAVs as remote sensing platform in glaciology: present applications and future prospects. Remote Sens Environ 175:196–204. https://doi.org/10.1016/j.rse.2015.12.029

    Article  Google Scholar 

  • Braun C, Mustafa O, Nordt A, Pfeiffer S, Peter H-U (2012) Environmental monitoring and management proposals for the Fildes region (King George Island, Antarctica). Polar Res 31:18206. https://doi.org/10.3402/polar.v31i0.18206

    Article  Google Scholar 

  • Brown P (2008) Fundamentals of audio and acoustics. In: Ballou G (ed) Handbook for sound engineers, 4th edn. Elsevier Focal Press, Amsterdam, pp 21–40

    Chapter  Google Scholar 

  • Carney KM, Sydeman WJ (1999) A review of human disturbance effects on nesting colonial waterbirds. Waterbirds 22(1):68–79

    Article  Google Scholar 

  • Cavoukian A (2012) Privacy and drones: unmanned aerial vehicles. Information and Privacy Commissioner of Ontario, Ontario

    Google Scholar 

  • Chrétien L-P, Théau J, Ménard P (2016) Visible and thermal infrared remote sensing for the detection of white-tailed deer using an unmanned aerial system. Wildl Soc Bull 40:181–191. https://doi.org/10.1002/wsb.629

    Article  Google Scholar 

  • COMNAP (2016) Antarctic unmanned aerial systems (UAS) operator’s handbook. Prepared by the COMNAP UAS Working Group. https://www.comnap.aq/Groups/Air/SharedDocuments/2Handbookdraft431March2016.pdf. Accessed 25 May 2018

  • Ditmer MA, Vincent JB, Werden LK, Tanner JC, Laske TG, Iaizzo PA, Garshelis DL, Fieberg JR (2015) Bears show a physiological but limited behavioral response to unmanned aerial vehicles. Curr Biol 25:2278–2283. https://doi.org/10.1016/j.cub.2015.07.024

    Article  CAS  PubMed  Google Scholar 

  • Dulava S, Bean WT, Richmond OMW (2015) Environmental reviews and case studies: applications of unmanned aircraft systems (UAS) for waterbird surveys. Environ Pract 17:201–210. https://doi.org/10.1017/S1466046615000186

    Article  Google Scholar 

  • Durban JW, Moore MJ, Chiang G, Hickmott LS, Bocconcelli A, Howes G, Bahamonde PA, Perryman WL, LeRoi DJ (2016) Photogrammetry of blue whales with an unmanned hexacopter. Mar Mamm Sci. https://doi.org/10.1111/mms.12328

    Article  Google Scholar 

  • Ellenberg U, Mattern T, Seddon PJ (2006) Physiological and reproductive consequences of human disturbance in Humboldt penguins: the need for species-specific visitor management. Biol Cons 133(1):95–106

    Article  Google Scholar 

  • Fraser WR, Patterson DL (1997) Human disturbance and long-term changes in Adelie penguin populations: a natural experiment at Palmer Station, Antarctic Peninsula. In: Battaglia B (ed) Antarctic communities, species, structure and survival. University Press, Cambridge, pp 445–452

    Google Scholar 

  • Germany (2018) Environmental guidelines for operation of remotely piloted aircraft systems (RPAS) in Antarctica. ATCM XLI, Buenos Aires

    Google Scholar 

  • Giese M, Riddle M (1999) Disturbance of emperor penguin Aptenodytes forsteri chicks by helicopters. Polar Biol 22:366–371

    Article  Google Scholar 

  • Goebel ME, Perryman WL, Hinke JT, Krause DJ, Hann NA, Gardner S, LeRoi DJ (2015) A small unmanned aerial system for estimating abundance and size of Antarctic predators. Polar Biol 38:619–630. https://doi.org/10.1007/s00300-014-1625-4

    Article  Google Scholar 

  • Grenzdörffer G (2013) UAS-based automatic bird count of a common gull colony. Int Arch Photogramm Remote Sens Spat Inf Sci. https://doi.org/10.5194/isprsarchives-XL-1-W2-169-2013

    Article  Google Scholar 

  • Hänninen L, Pastell M (2009) CowLog: open source software for coding behaviors from digital video. Behav Res Methods 41(2):472–476

    Article  Google Scholar 

  • Hanson L, Holmquist-Johnson CL, Cowardin ML (2014) Evaluation of the Raven sUAS to detect and monitor greater sage-grouse leks within the Middle Park population. Open file report. Reston. https://doi.org/10.3133/ofr20141205

  • Harris CM (2005) Aircraft operations near concentrations of birds in Antarctica: the development of practical guidelines. Biol Cons 125:309–322. https://doi.org/10.1016/j.biocon.2005.04.002

    Article  Google Scholar 

  • Hockey PAR, Hallinan J (1981) Effect of human disturbance on the breeding behavior of Jackass Penguins Spheniscus demersus. S Afr J Wildl Res 11:59–62

    Google Scholar 

  • Israel M (2011) A UAV-based roe deer fawn detection system. Int Arch Photogramm Remote Sens 38:1–5

    Google Scholar 

  • Jouventin P (1982) Visual and vocal signals in penguins, their evolution and adaptive characters. Adv Ethol 24:148

    Google Scholar 

  • Korczak-Abshire M, Kidawa A, Zmarz A, Storvold R, Karlsen SR, Rodzewicz M, Chwedorzewska K, Znój A (2016) Preliminary study on nesting Adélie penguins disturbance by unmanned aerial vehicles. CCAMLR Sci 23:1–16

    Google Scholar 

  • Koski WR, Allen T, Ireland D, Buck G, Smith PR, Macrander AM, Halick MA, Rushing C, Sliwa DJ, McDonald TL (2009) Evaluation of an unmanned airborne system for monitoring marine mammals. Aquat Mamm 35:347

    Article  Google Scholar 

  • Kuznetsova A, Brockhoff PB, Christensen RHB (2015) Package ‘lmerTest’ R package version 2

  • Liu C-C, Chen Y-H, Wen H-L (2015) Supporting the annual international black-faced spoonbill census with a low-cost unmanned aerial vehicle. Ecol Inform 30:170–178. https://doi.org/10.1016/j.ecoinf.2015.10.008

    Article  Google Scholar 

  • Lucieer A, Robinson S, Turner D, Harwin S, Kelcey J (2012) Using a micro-UAV for ultra-high resolution multi-sensor observations of Antarctic moss beds. Int Arch Photogramm Remote Sens Spat Inf Sci. https://doi.org/10.5194/isprsarchives-XXXIX-B1-429-2012

    Article  Google Scholar 

  • McEvoy JF, Hall GP, McDonald PG (2016) Evaluation of unmanned aerial vehicle shape, flight path and camera type for waterfowl surveys: disturbance effects and species recognition. PeerJ 4:e1831. https://doi.org/10.7717/peerj.1831

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • McGill PR, Reisenbichler KR, Etchemendy SA, Dawe TC, Hobson BW (2011) Aerial surveys and tagging of free-drifting icebergs using an unmanned aerial vehicle (UAV). Deep Sea Res Part II 58:1318–1326. https://doi.org/10.1016/j.dsr2.2010.11.007

    Article  Google Scholar 

  • Mulero-Pázmány M, Jenni-Eiermann S, Strebel N, Sattler T, Negro JJ, Tablado Z (2017) Unmanned aircraft systems as a new source of disturbance for wildlife: a systematic review. PLoS ONE 12(6):e0178448

    Article  Google Scholar 

  • Müller-Schwarze D, Müller-Schwarze C (1977) Pinguine. Die Neue Brehm-Bücherei, Wittenberg Lutherstadt

    Google Scholar 

  • Mustafa O, Esefeld J, Hertel F, Krietsch J, Peter H-U, Pfeifer C, Rümmler M-C, Staeding A, et al. (2014) Mapping of Pygoscelis penguins by using an UAV in the vicinity of southwestern King George Island. Paper presented at the XXXIII SCAR open science conference Auckland, New Zealand

  • Mustafa O, Esefeld J, Grämer H, Maercker J, Peter H-U, Rümmler M-C, Senf M, Pfeifer C (2017) Monitoring penguin colonies in the Antarctic using remote sensing data. On behalf of the German Environment Agency. Dessau-Roßlau. https://www.umweltbundesamt.de/publikationen/monitoring-penguin-colonies-in-the-antarctic-using

  • Peasgood S, Valentin M (2015) Drones: a rising market. An industry to lift your returns. Sophic capital

  • Pomeroy P, O’Connor L, Davies P (2015) Assessing use of and reaction to unmanned aerial systems in gray and harbor seals during breeding and molt in the UK. J Unmanned Veh Syst 3:102–113. https://doi.org/10.1139/juvs-2015-0013

    Article  Google Scholar 

  • R Development Core Team (2008) R: A language and environment for statistical computing R foundation for statistical computing

  • Ratcliffe N, Guihen D, Robst J, Crofts S, Stanworth A, Enderlein P (2015) A protocol for the aerial survey of penguin colonies using UAVs. J Unmanned Veh Syst 3:95–101. https://doi.org/10.1139/juvs-2015-0006

    Article  Google Scholar 

  • RStudio Team (2016). RStudio: integrated development for R. RStudio, Inc., Boston. http://www.rstudio.com/

  • Rümmler M-C, Mustafa O, Maercker J, Peter H-U, Esefeld J (2016) Measuring the influence of unmanned aerial vehicles on Adélie penguins. Pol Biol 39:1329–1334. https://doi.org/10.1007/s00300-015-1838-1

    Article  Google Scholar 

  • Schuster KC (2010) Impact of human and other disturbance on behaviour and heart rate of incubating Adélie penguins (Pygoscelis adeliae). Dissertation, Philips-Universität Marburg

  • Thomson RB (1977) Effects of human disturbance on an Adélie penguin rookery and measures of control. In: Llano GA (ed) Adaptations within Antarctic ecosystems. Smithsonian Institution, Washington, pp 1177–1180

    Google Scholar 

  • Van Zinderen Bakker EM, Winterbottom JM, Dyer RA (1971) A behaviour analysis of the Gentoo penguin. In: Marion and Prince Edward Islands. Report on the south african biological and geological expedition/1965–1966. Balkema, Cape Town, p 251–272

  • Vas E et al (2015) Approaching birds with drones: first experiments and ethical guidelines. Biol Lett 11(2):20140754

    Article  Google Scholar 

  • Vermeulen C, Lejeune P, Lisein J, Sawadogo P, Bouché P (2013) Unmanned aerial survey of elephants. PLoS ONE 8:e54700. https://doi.org/10.1371/journal.pone.0054700

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Weimerskirch H, Prudor A, Schull Q (2018) Flights of drones over sub-Antarctic seabirds show species-and status-specific behavioural and physiological responses. Pol Biol 41(2):259–266

    Article  Google Scholar 

  • Wilson RP, Coria NR, Spairani HJ, Adelung D, Culik B (1989) Human-induced behaviour in Adélie penguins Pygoscelis adeliae. Pol Biol 10:77–80

    Google Scholar 

Download references

Acknowledgements

We would like to thank the personnel of the Bellingshausen Station for accommodation and support during our expedition. Logistic support was kindly provided by Alejo Contreras and Aerovias DAP on-site and by Alfred-Wegener-Institute, in general. We also would like to thank Dr. Markus Bernhardt-Römermann for valuable advices on statistical analysis and Colin Harris for extensive language editing.

Funding

The study was funded by the Federal Ministry for the Environment, Nature Conservation, Building and Nuclear Safety (UFOPLAN 3713 12 101).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Marie-Charlott Rümmler.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

The study was commissioned by the German Environment Agency, Dessau-Rosslau. All applicable international, national and/or institutional guidelines for the care and use of animals were followed. Permissions to enter ASPA No. 150 were given by the responsible authority.

Informed consent

Informed consent was obtained from all individual participants included in the study.

Electronic supplementary material

Below is the link to the electronic supplementary material.

300_2018_2385_MOESM1_ESM.tif

Example of a flight scenario. Shown is a horizontal overflight (GPS-tracked flight path, red) on an elevation model of Ardley Island with the breeding groups of the colony (orange), the observed breeding group G1 (light blue), the analysed part of the breeding group (focal group/individuals, dark blue) and the position of the recording camera. Supplementary material 1 (TIFF 1003 kb)

300_2018_2385_MOESM2_ESM.tif

Boxplots of the disturbance index of individuals as defined in Table 2 for Gentoo (left) and Adélie (right) penguins (Pygoscelis papua/P. adeliae) during overflights in horizontal (bottom) and vertical (top) flight modes. The area shaded grey indicates undisturbed behaviour. The data is jittered with a factor of 0.1 to improve visibility of the boxplot features. An increase in observed disturbed behaviours with lowering flight altitudes can be seen for all four scenarios. Supplementary material 2 (TIFF 183 kb)

300_2018_2385_MOESM3_ESM.tif

Boxplots of the disturbance index of Gentoo penguins (Pygoscelis papua) during the take-off experiments. The data is jittered with a factor of 0.1 to improve visibility of the boxplot features. A gradual increase in disturbance can be seen from distances of 20 m to the closest distance at 5 m. At distances farther than 30 m no further decrease is evident. Supplementary material 3 (TIFF 132 kb)

300_2018_2385_MOESM4_ESM.tif

Boxplots of habituation to fly-overs above Adélie and Gentoo penguins (Pygoscelis adeliae/P. papua). For each altitude separately, the proportion of individuals showing disturbed behaviour of each of the three flights per day is shown. Altitudes with statistically significant habituation effects are marked with asterisk. Supplementary material 4 (TIFF 607 kb)

300_2018_2385_MOESM5_ESM.tif

Boxplots of influence of seasonality on the reaction of Adélie and Gentoo penguins (Pygoscelis adeliae/P. papua) to horizontal and vertical overflights. The proportion of individuals showing disturbed behaviour is given for each observation day. Supplementary material 5 (TIFF 161 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Rümmler, MC., Mustafa, O., Maercker, J. et al. Sensitivity of Adélie and Gentoo penguins to various flight activities of a micro UAV. Polar Biol 41, 2481–2493 (2018). https://doi.org/10.1007/s00300-018-2385-3

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00300-018-2385-3

Keywords

Navigation