Opis projektu
Zmiana klimatu wywiera wpływ na ekosystemy Arktyki
Zmiana klimatu szczególnie dotkliwie odbija się na ekosystemach Arktyki. Globalne ocieplenie prowadzi do uwolnienia atmosferycznego dwutlenku węgla magazynowanego w glebach Arktyki przez miliony lat, który przybiera postać CO2 i silnego gazu cieplarnianego CH4. Naukowcy powinni móc ustalić, ile węgla zostanie potencjalnie uwolnione i jaki będzie miało to wpływ na zmianę klimatu. Zespół badawczy ForHot z Islandii stworzył geotermalnie kontrolowany gradient ocieplenia gleby, umożliwiający ocenę wpływu wzrostu temperatury na procesy zachodzące w ekosystemie arktycznym. W ramach finansowanego przez UE projektu FutureArctic przeprowadzone zostaną szkolenia naukowców na wczesnym etapie kariery, które doprowadzą do opracowania „ekosystemu rzeczy”. Uczestnicy wykorzystają uczenie maszynowe w celu analizy dużych strumieni danych środowiskowych poprzez wdrożenie pionierskiego „ekosystemu rzeczy” w ośrodku badawczym ForHot.
Cel
"Climate change will affect Arctic ecosystems more than any other ecosystem worldwide, with temperature increases expected up to 4-6°C. While this is threatening the integrity and biodiversity of the ecosystems in itself, the larger ecosystem feedbacks triggered by this change are even more worrisome. During millions of years, atmospheric carbon has been stored in the Arctic soils. With warming, the carbon can rapidly escape the soils in the form of CO2 and (even worse) the strong greenhouse agent CH4.
Despite decades of research, scientists still struggle to unveil the scale of this carbon exchange, and especially how it will interact with climate change. An overarching question remains: how much carbon will potentially escape the Arctic in the future climate, and how will this affect climate change?
FutureArctic embeds this research challenge directly in an inter-sectoral training initiative for early stage researchers, that aims to form “ecosystem-of-things” scientists and engineers at the ForHot site. The FORHOT site in Iceland offers a geothermally controlled soil temperature warming gradient, to study how Arctic ecosystem processes are affected by temperature increases as expected through climate change.
FutureArctic aims to pave the way for generalized permanently connected data acquisition systems for key environmental variables and processes. We will initiate a new machine-learning approach to analyse large high-throughput environmental data-streams, through installing a pioneer ""ecosystem-of-things"" at the ForHot site.
FutureArctic will thus channel, building on a timely project in the ForHot area, an important evolution to machine-assisted environmental fundamental research. This is achieved through the dedicated training of researchers with profiles at the inter-sectoral edge of computer science, artificial intelligence, environmental science (both experimental and modelling), scoial sciences and sensor engineering and communication.
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Dziedzina nauki
- natural sciencescomputer and information sciencesartificial intelligence
- natural sciencesearth and related environmental sciencesenvironmental sciences
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencesbiological sciencesecologyecosystems
- natural sciencesearth and related environmental sciencesatmospheric sciencesclimatologyclimatic changes
Program(-y)
Zaproszenie do składania wniosków
Zobacz inne projekty w ramach tego zaproszeniaSystem finansowania
MSCA-ITN - Marie Skłodowska-Curie Innovative Training Networks (ITN)Koordynator
2000 Antwerpen
Belgia