Skip to contents

This bibliography contains all peer-reviewed publications linked to WATLAS

The .bib file containing the full bibliography in BibTeX can be downloaded here.

Introduction

Tracking animal movement is crucial for understanding interactions with changing environments and predicting the effects of anthropogenic activities, particularly in ecologically significant areas like the Wadden Sea. The WATLAS system (Wadden Sea Advanced Tracking and Localisation of Animals in real life Systems) enables high-resolution monitoring of small bird movements, offering insights into space use, individual variation, and social networks, thereby supporting research and conservation efforts in the region. A detailed description of WATLAS can be found in Bijleveld et al. (2022).

Validation

Validation of methods is crucial to understand the strength and limitations of a method.In Beardsworth et al. (2022) we tested the accuracy and precision of WATLAS using concurrent GPS measurements as a reference.

Methods

A pipeline with coding examples for cleaning high-throughput tracking data with atlastools (tools4watlas builds on atlastools) is presented in Gupte et al. (2022).

Ecology

Ersoy et al. (2022) & Ersoy et al. (2024) & Gobbens et al. (2024)

Bibliography

Beardsworth, C. E., Gobbens, E., Maarseveen, F. van, Denissen, B., Dekinga, A., Nathan, R., Toledo, S., & Bijleveld, A. I. (2022). Validating ATLAS: A regional-scale high-throughput tracking system. Methods in Ecology and Evolution, 13(9), 1990–2004. https://doi.org/10.1111/2041-210X.13913
Bijleveld, A. I., Maarseveen, F. van, Denissen, B., Dekinga, A., Penning, E., Ersoy, S., Gupte, P. R., Monte, L. de, Horn, J. ten, Bom, R. A., et al. (2022). WATLAS: High-throughput and real-time tracking of many small birds in the dutch wadden sea. Animal Biotelemetry, 10(1), 36. https://doi.org/10.1186/s40317-022-00307-w
Ersoy, S., Beardsworth, C. E., Dekinga, A., Meer, M. T. J. van der, Piersma, T., Groothuis, T. G. G., & Bijleveld, A. I. (2022). Exploration speed in captivity predicts foraging tactics and diet in free-living red knots. Journal of Animal Ecology, 91(2), 356–366. https://doi.org/10.1111/1365-2656.13632
Ersoy, S., Beardsworth, C. E., Duran, E., van der Meer, M. T. J., Piersma, T., Groothuis, T. G. G., & Bijleveld, A. I. (2024). Pathway for personality development: Juvenile red knots vary more in diet and exploratory behaviour than adults. Animal Behaviour, 208, 31–40. https://doi.org/10.1016/j.anbehav.2023.11.018
Gobbens, E., Beardsworth, C. E., Dekinga, A., Horn, J. ten, Toledo, S., Nathan, R., & Bijleveld, A. I. (2024). Environmental factors influencing red knot (calidris canutus islandica) departure times of relocation flights within the non-breeding period. Ecology and Evolution, 14(3), e10954. https://doi.org/10.1002/ece3.10954
Gupte, P. R., Beardsworth, C. E., Spiegel, O., Lourie, E., Toledo, S., Nathan, R., & Bijleveld, A. I. (2022). A guide to pre-processing high-throughput animal tracking data. Journal of Animal Ecology, 91(2), 287–307. https://doi.org/10.1111/1365-2656.13610
Nathan, R., Monk, C. T., Arlinghaus, R., Adam, T., Alós, J., Assaf, M., Baktoft, H., Beardsworth, C. E., Bertram, M. G., Bijleveld, A. I., Brodin, T., Brooks, J. L., Campos-Candela, A., Cooke, S. J., Gjelland, K. Ø., Gupte, P. R., Harel, R., Hellström, G., Jeltsch, F., … Jarić, I. (2022). Big-data approaches lead to an increased understanding of the ecology of animal movement. Science, 375(6582), eabg1780. https://doi.org/10.1126/science.abg1780
Toledo, S., Mendel, S., Levi, A., Vortman, Y., Ullmann, W., Scherer, L.-R., Pufelski, J., Maarseveen, F. van, Denissen, B., Bijleveld, A., Orchan, Y., Bartan, Y., Margalit, S., Talmon, I., & Nathan, R. (2022). Vildehaye: A family of versatile, widely-applicable, and field-proven lightweight wildlife tracking and sensing tags. 2022 21st ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), 1–14. https://doi.org/10.1109/IPSN54338.2022.00008