The use of drone to study the nesting behavior of milky stork: Some preliminary observations

##plugins.themes.bootstrap3.article.main##

ANI MARDIASTUTI
YENI A. MULYANI
ANDRIE AKBAR
BASUKI WICAKSONO
TIARA RAHMAWATI
YULIA P. WULANDARI
WARSAJAYA

Abstract

Abstract. Mardiastuti A, Mulyani YA, Akbar A, Wicaksono B, Rahmawati T, Wulandari YP, Warsajaya. 2023. The use of drone to study the nesting behavior of milky stork: Some preliminary observations. Biodiversitas 24: 4549-4557. The use of a drone to census waterbirds has been increasingly popular. However, study on the waterbird’s behavioral response to the drone was still limited. The objective of this study is to reveal the response of the breeding milky stork Mycteria cinerea to the drone as a new and safer tool for collecting breeding behavior data. Factors that influence the success of the observation by using a drone were also identified and a set of recommendations was formulated. The research was conducted during the breeding season of the milky stork in Pulau Rambut, a small island in Jakarta Bay, between December 2022 and March 2023. Three types of drones were tested in the pilot study, and eventually, a small manually piloted drone (Syma X25 Pro) was found to be more appropriate for behavioral study. The bird response to the drone (no, neutral, temporary, negative response) was observed through a combination of various distances and angles of the drone to the nest trees. Despite the weather obstacles, this study suggested that the milky stork mostly (17 out of 20 trials) showed no response or neutral response to the drone. Some temporary responses were detected due to some accidental events, including a sudden launch of the drone. In conclusion, a small-size, easy-to-maneuver drone that produces low noise and mild wind can be used by using a manual pilot mode to study the breeding behavior of milky storks or other similar waterbird species.

##plugins.themes.bootstrap3.article.details##

References
Chabot D, Bird DM. 2015. Wildlife research and management methods in the 21st century: Where do unmanned aircraft fit in? J. Unmanned Veh. Syst. 3: 137–155 (2015) dx.doi.org/10.1139/juvs-2015-0021.
Christie K S, Gilbert SL, Brown CL, Hatfield M, Hanson L. 2016. Unmanned aircraft systems in wildlife research: current and future applications of a transformative technology. Frontiers in Ecology and the Environment 14:241–251.
Firdausy MS, Mardiastuti A, Mulyani YA. 2021. Abundance waterbirds and the distribution of trees nesting in Pulau Rambut (Rambut Island) wildlife sanctuary, Jakarta Bay, Indonesia. IOP Conf. Series: Earth and Environmental Science 771 (2021) 012028. doi:10.1088/1755-1315/771/1/012028.
Imanuddin, Mardiastuti A. 2003. Ekologi bangau bluwok Mycteria cinerea di Pulau Rambut, Jakarta. Jususan Konservasi Sumberdaya Hutan, Fakultas Kehutanan IPB. Bogor.
Imanuddin, Mardiastuti A. 2003. Ekologi bangau bluwok Mycteria cinerea di Pulau Rambut, Jakarta. Jususan Konservasi Sumberdaya Hutan, Fakultas Kehutanan IPB. Bogor.
Koh LP, Wich SA. 2012. Dawn of drone ecology: low-cost autonomous aerial vehicles for conservation. Tropical Conservation Science 5(2):121-132.
Mardiastuti A. 1992. Habitat and nest-site characteristics of waterbirds in Pulau Rambut Nature Reserve, Jakarta Bay, Indonesia [disertation] Michigan: Michigan State University.
McClelland GTW., Bond A, Sardana A, Glass T. 2016. Rapid population estimate of a surface-nesting seabird on a remote island using a low-cost unmanned aerial vehicle. Marine Ornithology 44: 215-220.
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; doi 10.7717/peerj.1831.
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:e0178448.
Mulero-Pazmany M, Negro JJ, Ferrer M. 2014. A low-cost way for assessing bird risk hazards in power lines: Fixed-wing small unmanned aircraft systems. J. Unmanned Veh. Syst. 2(1): 5–15. doi: 10.1139/juvs-2013-0012.
Rahman DA, Sitorus ABY, Condro AA. 2022. From coastal to montane forest ecosystems, using drones for multi-species research in the tropics. Drones 2022, 6, 6. https://doi.org/10.3390/drones 6010006.
Ratcliffe N, Guihen D, Robst J, Crofts S, Stanworth A, Enderlein P. 2015. A protocol for the aerial survey of penguin colonies using UAVs. JUVS. doi:10.1139/juvs-2015-0006
Ronny A, Gunawan H, Yoza D. 2017. Penentuan tingkat kepadatan dan sebaran populasi bangau bluwok (Mycteria cinerea) menggunakan drone di Pulau Basu, Indragiri Hilir. Jurnal Riau Biologia 2(2): 81 – 89.
Rümmler MC, Mustafa O, Maercker J, Peter H, Esefeld J. 2015. Measuring the influence of unmanned aerial vehicles on Adélie penguins. Polar Biology 39: 1329-1334.
Sardà-Palomera F, Bota G, Vinolo C, et al. 2012. Fine-scale bird monitoring from light unmanned aircraft systems. Ibis 154: 177–83.
Vas E, Lescroël A, Duriez O, Boguszewski G, Grémillet D. 2015. Approaching birds with drones: First experiments and ethical guidelines. Biol. Lett. 11. doi:10.1098/rsbl.2014.0754.
Zbyryt A, Dylewski ?, Morelli F, Sparks TH, Tryjanowski P. 2021. Behavioural responses of adult and young white storks Ciconia ciconia in nests to an Unmanned Aerial Vehicle. Acta Ornithologica 55 (2), 243-251 https://doi.org/10.3161/00016454AO2020.55.2.009.
Zink R, Kmetova-Biro E, Agnezy S, Klisurov I, Margalida A. 2023. Assessing the potential disturbance effects on the use of Unmanned Aircraft Systems (UASs) for European vulture research: a review and conservation recommendations. Bird Conservation International 33, e45, 1–12.