Demographic consequences of native fox predation on Socotra cormorants on Siniya Island, United Arab Emirates

Whelan, Roxanne; Clarke, Chris; Almansoori, Noora; Jaradat, Areej; Qadi, Nouf S. Al; Muzaffar, Sabir Bin

doi:10.2981/wlb.00450

Cited by 1 publication

(1 citation statement)

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“…Movement in front of the sensor triggers photographs or a short video sequence to be recorded, allowing capture of individual, instantaneous events (Black 2018). So far, motion-triggered cameras have been most frequently deployed in seabird research to examine the impact of nest predation on breeding success (Herv ıas et al 2013, Thiebot et al 2014, Davies et al 2015, Ekanayake et al 2015, Luna et al 2018, Whelan et al 2018, Stolpmann et al 2019.…”

Section: Advantages Disadvantagesmentioning

confidence: 99%

Applications of digital imaging and analysis in seabird monitoring and research

Edney

Wood

2020

Ibis

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Rapid advances in digital imaging technology offer efficient and cost‐effective methods for measuring seabird abundance, breeding success, phenology, survival and diet. These methods can facilitate understanding of long‐term population trends, and the design and implementation of successful conservation strategies. This paper reviews the suitability of satellites, manned aircraft, unmanned aerial vehicles (UAVs), and fixed‐position, handheld and animal‐borne cameras for recording digital photographs and videos used to measure seabird demographic and behavioural parameters. It considers the disturbance impacts, accuracy of results obtained, cost‐effectiveness and scale of monitoring possible compared with ‘traditional’ fieldworker methods. Given the ease of collecting large amounts of imagery, image processing is an important step in realizing the potential of this technology. The effectiveness of manual, semi‐automated and automated image processing is also reviewed. Satellites, manned aircraft and UAVs have most commonly been used for population counts. Spatial resolution is lowest in satellites, limiting monitoring to large species and those with obvious signs of presence, such as penguins. Conversely, UAVs have the highest spatial resolution, which has allowed fine‐scale measurements of foraging behaviour. Time‐lapse cameras are more cost‐effective for collecting time‐series data such as breeding success and phenology, as human visits are only required infrequently for maintenance. However, the colony of interest must be observable from a single vantage point. Handheld, animal‐borne and motion‐triggered cameras have fewer cost‐effective uses but have provided information on seabird diet, foraging behaviour and nest predation. The last of these has been important for understanding the impact of invasive mammals on seabird breeding success. Advances in automated image analysis are increasing the suitability of digital photography and videography to facilitate and/or replace traditional seabird monitoring methods. Machine‐learning algorithms, such as Pengbot, have allowed rapid identification of birds, although training requires thousands of pre‐annotated photographs. Digital imaging has considerable potential in seabird monitoring, provided that appropriate choices are available for both image capture technology and image processing. These technologies offer opportunities to collect data in remote locations and increase the number of sites monitored. The potential to include such solutions in seabird monitoring and research will develop as the technology evolves, which will be of benefit given funding challenges in monitoring and conservation.

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