Project description
Acoustic monitoring to understand community dynamics in extreme environmental conditions
Human activities contribute to ecological changes that have an impact on various species. These changes can occur even in conditions of extreme variability within the environment. To comprehend these intricate dynamics, it is essential to engage in monitoring, analysis and modelling at a detailed spatio-temporal level. Within this context, passive acoustic monitoring (PAM) has emerged as a burgeoning research field. PAM not only offers heightened temporal precision it also encompasses a wide spectrum of species that produce sounds. The MSCA-funded SOUNDCHANGE project will construct a framework for comprehending community dynamics under conditions of environmental extremes and fluctuations. This involves characterising the acoustic composition of communities through unsupervised learning techniques.
Objective
Species are often predicted to lag behind the unprecedented pace of ecological changes imposed by current human activities. Such changes result not only in modification of the mean environmental values in an ecosystem but also in increasingly extreme and variable environmental conditions. These extreme and variable conditions operate at fine spatio-temporal scales. A mechanistic understanding of these dynamics in response to new environmental conditions thus requires monitoring, analysing and modelling at such fine spatio-temporal resolution. Passive acoustic monitoring (PAM) is a rapidly growing field of research that allows for an unparalleled temporal resolution and a wide taxonomic diversity of sound producing species in terrestrial and aquatic environments. In this context, I will use PAM to understand fine scale spatio-temporal community dynamics in response to increasingly extreme and variable environmental conditions. For that I plan to develop a methodological and conceptual framework to understand community dynamics at unprecedented spatio-temporal resolution. First, I will use unsupervised learning to characterise acoustic community composition, creating acoustic groups that I will ecologically identify. I will then use these groups to assess spatio-temporal variation of community composition in these environments and their associations using network models. Finally, I will use different change scenarios to investigate the potential impact of these changes on community dynamics. This research will increase our understanding of the importance of extreme and variable environmental conditions in driving community dynamics.
Fields of science (EuroSciVoc)
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CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
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Keywords
Programme(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Funding Scheme
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European FellowshipsCoordinator
75794 Paris
France