H2020Individual fellowship2021–2022

MuFFIN · Modelling Foraging Fitness in Marine predators

Horizon 2020 — Marie Skłodowska-Curie Actions

Duration
2021-01-01 → 2022-12-31
EU contribution
€196,708
Participants
1
Scheme
MSCA-IF

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Results in brief

MuFFIN - Modelling Foraging Fitness in Marine predators

Climate change poses a serious threat to the Earth's ecosystems, both on land and at sea. In particular, the impact of climate change on sensitive systems or those in extreme climatic conditions (e.g. polar and high mountain regions) is occurring earlier and with greater intensity. In recent years, rapid advances in automatic sensing technologies have revolutionised the way ecological information is collected. Examples of these innovations are the use of devices attached to animals (bio-logging) and remote sensing systems, used to monitor animal movements and environmental features. However, to date, it is not yet known how species interact with their environment and respond to environmental changes. This information is crucial when assessing the status of populations and providing guidelines for monitoring and conservation. The species studied in this project are considered 'sentinels of ecosystem changes'. As marine predators at the top of the food chain, their ecology, behaviour and population trends tell us about the health of marine ecosystems. Successful monitoring and conservation projects rely on long-term data sets and robust analytical tools to provide insights into the state of ecosystems, contributing to the goals of (i) understanding and mitigating the impact of human activities on ecosystems, (ii) maintain species diversity, (iii) providing societal benefits and opportunities for education, and (iv) meeting European and global directives on good environmental status. Using long term bio-logging and remote sensing datasets we can now answer questions related to how individual animals move in space and time, how they interact with their immediate surroundings and how wild populations respond to changes in environmental variability. This research project aimed at bridging the gap between individual movements and population dynamics and hence, inform conservation efforts. In MuFFIN (Modelling Foraging Fitness in Marine Predators) I made use of, and contributed to, data collected via long term species monitoring programs hosted by the Centre d’Etudes Biologiques de Chizé (CEBC), France. I focused my research on three species of marine top predators: Little penguins (Eudyptula minor), southern elephant seals (Mirounga leonina) and Adélie penguins (Pygoscelis adeliae) for which the longest high resolution bio-logging datasets exist. I aimed at quantifying the variation of foraging behaviour across spatio-temporal scales, highlighting long-term consequences on habitat use, foraging plasticity and fitness, linking the movement of individuals to population processes.

Data: CORDIS, © European Union

Project objective

MuFFIN - Modelling Foraging Fitness in Marine predatorsRecent technological advances have permitted the collection of novel high-frequency information about animal behaviour,physiology and characteristics of the environment in which animals move. Such technology-driven achievements areexciting, but it is important to analyse these data with a view to their original objectives: understanding individual behaviour,predicting population processes and optimizing species monitoring and conservation programs. Despite a growing number oftracked animals, long term movement dataset are a present-day achievement. As a consequence, while many studies ofanimal movements are motivated by questions on population dynamics, the explicit connection between the two is rarelyattained. Through MUFFIN, I will make use of nearly ten years of high resolution bio-logging datasets collected on threespecies of top marine predators moving in environments difficult to monitor: Little penguins, Adelie penguins and Southernelephant seals. With these unique data, MUFFIN will answer questions related to effects of changes of availability of marineresources on breeding success, predators foraging behaviour, decision making and habitat use. I will (I) quantify changes inforaging behaviour across spatio-temporal scales, characterise type of foraging patches visited and energy spent. I will (II)model the effect of foraging patches visited, energy spent and environment encountered aiming to understand animaldecision making, use of environmental features and changes in space used. I will (III) link foraging behaviours, effort spentand type of patch to breeding success, highlighting fitness consequences of changes of behavioural patterns. Inaccomplishing MUFFIN's objectives I will open powerful new avenues for the use and analysis of large high resolutionmovement data. These approaches are key for research seeking to optimise strategies for habitat management, speciesmonito

Original text from CORDIS.

Participants

  • CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS · ParisCoordinatorFrance

Links

Data: CORDIS, © European Union