Published March 17, 2023 | Version v1
Dataset Open

Use of geolocators for investigating breeding ecology of a rock crevice-nesting seabird: method validation and impact assessment

Description

1: Investigating ecology of marine animals, imposes a continuous challenge due to their temporal and/or spatial unavailability. Light-based geolocators (GLS) are animal-borne devices that provide relatively cheap and efficient method to track seabird movement and are commonly used to study migration. Here we explore the potential of GLS data to establish individual behaviour during the breeding period in a rock crevice-nesting seabird, the Little Auk, Alle alle. 2: By deploying GLS on 12 breeding pairs, we developed a methodological workflow to extract birds' behaviour from GLS data (nest attendance, colony attendance and foraging activity), and validated its accuracy using behaviour extracted from a well-established method based on video recordings. We also compared breeding outcome, as well as behavioural patterns of logged individuals with a control group treated similarly in all aspects except for the deployment of a logger, to assess short-term logger effects on fitness and behaviour. 3: We found a high accuracy of GLS-established behavioural patterns, especially during the incubation and early chick rearing period (when birds spend relatively long time in the nest). We observed no apparent effect of logger deployment on breeding outcome of logged pairs, but recorded some behavioural changes in logged individuals (longer incubation bouts and shorter foraging trips). 4: Our study provides a useful framework for establishing behavioural patterns (nest attendance and foraging) of a crevice-nesting seabird from GLS data (light and conductivity), especially during incubation and early chick rearing period. Given that GLS deployment does not seem to affect the breeding outcome of logged individuals but does affect fine-scale behaviour, our framework is likely to be applicable to a variety of crevice/burrow nesting seabirds, even though precautions should be taken to reduce deployment effect. Finally, because each species may have its own behavioural and ecological specificity, we recommend performing a pilot study before implementing the method in a new study system.

Notes

All data manipulations and statistical analysis were made in R version 4.1.2 (R Core Team 2021).

The data provided contains the raw data (files starting with 1.1 to 1.4 and 5.1 to 5.5), and the intermediate and final results, as well as the full script that process the raw data into the final results. Script was indexed and explained when possible. Please feel free to reach the corresponding author, at antoine.grissot@gmail.com in case of any problem with running this script.

Funding provided by: Narodowe Centrum Nauki
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100004281
Award Number: 2017/25/B/NZ8/01417

Files

README.md

Files (39.5 MB)

Name Size Download all
md5:99e054c2a204139abd5bcd22a88c83ca
73.1 kB Download
md5:4269c9cbec25f9c600abbaff69b2a2a7
27.7 kB Download
md5:9665ac1b82e35b8cc86d5055b3686831
65.5 kB Download
md5:628848cef8593433e7dd87d40736b8eb
9.0 MB Download
md5:e1ca6cb1a172440b473892ab0e63165b
4.6 MB Download
md5:c54737a0be0759f07cd15034b59e7dc9
601.8 kB Download
md5:6f154dc15c3432ebd5f8dbb8230e48b4
589.0 kB Download
md5:7cc1dd5eca5b8302e833563da287776f
8.7 MB Download
md5:87776e2a8fb7c998594aea84780b259f
8.1 MB Download
md5:750d3d1537ca26c63ad1d85df0fb17fd
7.5 MB Download
md5:d83069aa0dd84b78e704f14f752fc7d0
7.7 kB Download
md5:594761b6c73a63ce81c07b12de36e262
61.1 kB Download
md5:7b4a929e2b2eeeb81a8c0d169d1b30a9
61.3 kB Download
md5:a1da8927a3cf3acbc35009ce77162c36
25.2 kB Download
md5:99ccd4ac2b3c341260e42ec4024214b4
8.8 kB Download
md5:ee42bc4b61485427aa131fbc6b553545
7.4 kB Download
md5:d9ac4653230582b41c63bc1fa8d71047
18.3 kB Download
md5:525440d8fabeda7f8ea21b88f95bb730
8.3 kB Download
md5:735a4d0f432efaea4c57b0baf503f656
2.4 kB Preview Download
md5:8bcf05f89ad454f65ba624a84f04d8ee
7.5 kB Download