Abstract

Surveying seabirds in polar latitudes can be challenging due to sparse human populations, lack of infrastructure and the risk of disturbance to wildlife or damage to habitats. Counting populations using un-crewed aerial vehicles (UAVs) is a promising approach to overcoming these difficulties. However, a careful validation of the approach is needed to ensure comparability with counts collected using conventional methods. Here, we report on surveys of three Antarctic bird species breeding on Signy Island, South Orkney Islands; Chinstrap (Pygoscelis antarctica) and Gentoo (Pygoscelis papua) Penguins, and the South Georgia Shag (Leucocarbo atriceps georgianus). We show that images from low-altitude UAV surveys have sufficient resolution to allow separation of Chinstrap Penguins from contiguously breeding Adélie Penguins (Pygoscelis adéliae), which are very similar in appearance when viewed from overhead. We compare data from ground counts with manual counts of nesting birds on images collected simultaneously by low-altitude aerial photography from multi-rotor UAVs at the same colonies. Results at this long-term monitoring site confirmed a continued population decline for Chinstrap Penguins and increasing Gentoo Penguin population. Although both methods provided breeding pair counts that were generally within ~ 5%, there were significant differences at some locations. We examine these differences in order to highlight potential biases or methodological constraints that should be considered when analysing similar aerial census surveys and comparing them with ground counts.

Highlights

  • Understanding patterns of abundance in wildlife populations—including those of seabirds—through space and time, is dependent on the collection of accurate counts at appropriate frequency and scales (Lynch et al 2015; Hodgson et al 2018; Rush et al 2018)

  • This study shows close comparability between ground counts and un-crewed aerial vehicles (UAVs) surveys for three different species of Antarctic seabird

  • A 5% threshold for count repeatability has been recommended in previous studies reporting the size of penguin populations in the Antarctic (Woehler and Croxall 1997; Naveen et al 2000; CCAMLR 2004; Borowicz et al 2018) and in our survey counts of penguin colonies using

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Summary

Introduction

Understanding patterns of abundance in wildlife populations—including those of seabirds—through space and time, is dependent on the collection of accurate counts at appropriate frequency and scales (Lynch et al 2015; Hodgson et al 2018; Rush et al 2018). A number of developing technologies have recently become available to seabird researchers, all of them providing means of overcoming to some extent the challenges of accessing polar seabird populations. These include the use of remotely sensed satellite imagery to locate and estimate the size of colonially breeding bird populations (Fretwell et al 2012; Lynch et al 2012; Fretwell et al 2015), and autonomous time-lapse camera systems collecting spatially extensive phenological and reproductive data, replacing the need for direct observation (Southwell et al 2013; Lynch et al 2015; Black et al 2018; Hinke et al 2018).

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