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Next generation animal tracking – deciphering the ecological code
In recent years, large-scale scientific initiatives have spurred the development of affordable lightweight tracking devicessuch that movement data are now collected in unprecedented quantities for a huge variety of species. Yet, appropriatetools to exploit the full potential of these tracking data are lagging behind. However, if we really want to capitalize on bigmovement data we must invest in an enhanced inference, particularly by combining heterogeneous and very highresolution data streams. And we have to pay attention to spatio-temporal patterns in the clustering sequences ofmovements or behaviours, which have almost virtually been ignored.To this end, a multidisciplinary consortium was established uniting leading experts in animal behaviour, moving objectanalysis, space-time or species-distribution modelling, spatio-temporal visualisation, and pattern recognition. By bridgingdisciplines within and across research areas, this multidisciplinary consortium has both the capacity to promote thedevelopment of analytical tools as well as to boost population and community ecology by building a new, integratedframework for the interpretation of state-of-the-art tracking data. We will follow a sequential approach by initiallysynthesizing how short-term behavioural responses and phenotypic adjustments within individuals, as well as consistentamong-individual differences, impinge on movement ecological processes. This will set the stage for exploiting the fullpotential of tracking data, to understand behavioural responses, conspecific interactions and decision-making.
Date:1 Jan 2019 → Today
Project type:Collaboration project