Sensitivity of δ 13 C values of seabird tissues to combined spatial, temporal and ecological drivers: A simulation approach

• Published in: Journal of Experimental Marine Biology and Ecology
• Main Authors: Carpenter-Kling T., Pistorius P., Connan M., Reisinger R., Magozzi S., Trueman C.
• Other Authors: Carpenter-Kling, T., Pistorius, P., Connan, M., Reisinger, R., Magozzi, S., Trueman, C.
• Format: Article in Journal/Newspaper
• Language: English
• Published: Elsevier B.V. 2019
• Subjects: Agent-based movement model; Isoscape; Marine predator; δ; 13; C; Antarctic; Antarc*; Giant Petrels; Marion Island
• Online Access: https://hdl.handle.net/11567/1120638; https://doi.org/10.1016/j.jembe.2018.12.007

Biologging technologies have revolutionised our understanding of the foraging ecology and life history traits of marine predators, allowing for high resolution information about location, and in some cases, foraging behaviour of wild animals. At the same time, stable isotope ecologists have independently developed methods to infer location and foraging ecology (trophic geography). To date, relatively few studies have combined these two approaches, despite the potential wealth of complementary information. In marine systems, spatial and trophic information are coded in the isotopic composition of carbon and nitrogen in animal tissues, but interpretation of isotope values is limited by both the lack of reference maps (isoscapes) needed to relate the isotopic composition of an animal's tissues to a location, and the relatively large number of variables that could influence tissue isotope compositions. Simulation modelling can help to interpret measured tissue isotope compositions of migratory animals in the context of spatio-temporally dynamic isotopic baselines. Here, we couple individual-based movement models with global marine isotope models to explore the sensitivity of tissue δ 13 C values to a range of extrinsic (environmental) and intrinsic (behavioural, physiological) drivers. We use in-silico experiments to simulate isotopic compositions expected for birds exhibiting different movement and foraging behaviours and compare these simulated data to isotopic data recovered from biologger-equipped female northern giant petrels Macronectes halli incubating eggs on sub-Antarctic Marion Island. Our simulations suggest that in the studied system, time is a strong driver of isotopic variance. Accordingly, this implies that caution should be used when comparing δ 13 C values of marine predators’ tissues between seasons and years. We show how an in-silico experimental approach can be used to explore the sensitivity of animal tissue isotopic compositions to complex and often interacting drivers. Appreciation of the ...