A glimpse into the Arctic future: equipping a unique natural experiment for next-generation ecosystem research

Informazioni relative al progetto

FutureArctic

ID dell’accordo di sovvenzione: 813114

DOI 10.3030/813114

Progetto chiuso

Data della firma CE 13 Settembre 2018

Data di avvio 1 Giugno 2019

Data di completamento 31 Dicembre 2023

Finanziato da

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Costo totale € 3 965 109,84

Contributo UE € 3 965 109,84

Coordinato da

UNIVERSITEIT ANTWERPEN
Belgium

Risultati finali

Other (3)

Eco-algorithm for machine-learning assessment of complex ecosystem interactions

Eco-algorithm for machine-learning assessment of complex ecosystem interactions: Time series prediction learning algorithms using neuromorphic computing hardware that can derive new insights from the wide variety of sensors developed and presented, including publications.

Supervisory Board of the network

EB, SB and EAC established. Formal installation of governance structures finished.

Network-wide training events

The organisation of all NWTE

Documents, reports (6)

Publications on key new findings in arctic ecosystem functioning by all WP1 ESRs

Scientific journal publications on key new findings in arctic ecosystem functioning by all WP1 ESRs The WP1 ESRs publish key findings of their InP in relevant earth sciences and multidisciplinary journals

Publications on the societal and scientific impact of big data applications in environmental science

Publications on the societal and scientific impact of big data applications in environmental science ESR15 publishes findings of social and science context analysis in relevant scientific journals

Overarching publication of value of AI for analyzing small-scale ecosystem interactions

Overarching publication of value of AI for analyzing smallscale ecosystem interactions Coordinated by ESR13 a paper by the whole network is finished on key discoveries made by AI application in ForHot site

Progress report

Progress Report

Recruitment report

All ESRs have been recruited and a report with names of all ESRs is published.

Final report on public stakeholder activities

Final report on public stakeholder activities Overview report of all outreach activities

Websites, patent fillings, videos etc. (2)

FutureArctic project movie online

At the end of FutureArctic a 20minute project movie is produced led by mediaservices of UAntwerpen During the project filming will occur during scientific work and training

SH factsheets online and regularly updated

SH factsheets online and regularly updated: We will publish dedicated interactive factsheets for four stakeholder groups on the website, and regularly update them.

Open Research Data Pilot (1)

Data Management Plan

All actions necessary related to participation of FutureArctic in the ORDP.

Pubblicazioni

Conference proceedings (4)

Neural Additive Vector Autoregression Models for Causal Discovery in Time Series

Autori: Bart Bussmann; Jannes Nys; Steven Latre
Pubblicato in: Discovery Science : 24th International Conference, DS 2021, Halifax, Canada, October 11–13, 2021: proceedings, 2021
Editore: Springer
DOI: 10.1007/978-3-030-88942-5_35

Biomass estimations of perennial ryegrass using UAV-based multispectral bands and vegetation indices

Autori: Pranga, J., Borra Serrano, I., De Swaef, T., Aper, J., Ghesquiere, A., Roldán-Ruiz, I., Janssens, I., Ruysschaert, G. & Lootens, P.
Pubblicato in: 2021
Editore: International Society of Precision Agriculture

InfiniteEn: A Multi-Source Energy Harvesting System with Load Monitoring Module for Batteryless Internet of Things

Autori: P. Pappinisseri Puluckul, M. Weyn
Pubblicato in: IEEE 9th World Forum on Internet of Things, Aveiro, Portugal, 12-27 October 2023, 2023
Editore: IEEE 9th World Forum on Internet of Things

Predicting herbage yield in perennial ryegrass breeding trials using UAV derived data and machine learning

Autori: Pranga, J., Borra Serrano, I., Aper, J., Ghesquiere, A., Roldán-Ruiz, I., Janssens, I., Ruysschaert, G. & Lootens, P.
Pubblicato in: 21st Symposium of the European Grassland Federation, 2021
Editore: Grassland Science in Europe

Other (1)

Neural Additive Vector Autoregression Models for Causal Discovery in Time Series Data

Autori: Bussmann, Bart; Nys, Jannes; Latré, Steven
Pubblicato in: Numero 1, 2020
Editore: arXiv

Peer reviewed articles (8)

Microbial growth under drought is confined to distinct taxa and modified by potential future climate conditions

Autori: Metze D, Schnecker J, Canarini A, Fuchslueger L, Koch BJ, Stone BWG, Hausmann B, Schmidt H, Schaumberger A, Bahn M, Kaiser C, Richter A
Pubblicato in: Nature Communications, 2023, ISSN 2041-1723
Editore: Nature Publishing Group
DOI: 10.1038/s41467-023-41524-y

Soil warming duration and magnitude affect the dynamics of fine roots and rhizomes and associated C and N pools in subarctic grasslands

Autori: Biplabi Bhattarai, Bjarni D Sigurdsson, Páll Sigurdsson, Niki Leblans, Ivan Janssens, Wendelien Meynzer, Arun Kumar Devarajan, Jaak Truu, Marika Truu, Ivika Ostonen
Pubblicato in: Annals of Botany, 2023, ISSN 0305-7364
Editore: Oxford University Press
DOI: 10.1093/aob/mcad102

Individual and interactive effects of warming and nitrogen supply on CO2 fluxes and carbon allocation in subarctic grassland

Autori: Kathiravan Meeran, Niel Verbrigghe, Johannes Ingrisch, Lucia Fuchslueger, Lena Müller, Páll Sigurðsson, Bjarni D. Sigurdsson, Herbert Wachter, Margarete Watzka, Jennifer L. Soong, Sara Vicca, Ivan A. Janssens, Michael Bahn
Pubblicato in: Global Change Biology, 2023, ISSN 1354-1013
Editore: Blackwell Publishing Inc.
DOI: 10.1111/gcb.16851

Semantic segmentation of plant roots from RGB (mini-) rhizotron images—generalisation potential and false positives of established methods and advanced deep-learning models

Autori: Pavel Baykalov; Bart Bussmann; Richard Nair; Abraham George Smith; Gernot Bodner; Ofer Hadar; Naftali Lazarovitch; Boris Rewald
Pubblicato in: Baykalov , P , Bussmann , B , Nair , R , Smith , A G , Bodner , G , Hadar , O , Lazarovitch , N & Rewald , B 2023 , ' Semantic segmentation of plant roots from RGB (mini-) rhizotron images—generalisation potential and false positives of established methods and advanced deep-learning models ' , Plant Methods , vol. 19 , no. 1 , 122 . https://doi.org/10.1186/s13007-023-01101-2, Numero 2, 2023, ISSN 1746-4811
Editore: BioMed Central
DOI: 10.1186/s13007-023-01101-2

Battery-Less Environment Sensor Using Thermoelectric Energy Harvesting from Soil-Ambient Air Temperature Differences

Autori: Maarten Weyn; Priyesh Pappinisseri Puluckul
Pubblicato in: Sensors, 2022, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s22134737

Energy Consumption Analysis of LPWAN Technologies and Lifetime Estimation for IoT Application

Autori: Ritesh Kumar Singh, Priyesh Pappinisseri Puluckul, Rafael Berkvens, Maarten Weyn
Pubblicato in: Sensors, Numero 20/17, 2020, Pagina/e 4794, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s20174794

Improving Accuracy of Herbage Yield Predictions in Perennial Ryegrass with UAV-Based Structural and Spectral Data Fusion and Machine Learning

Autori: Joanna Pranga; Irene Borra-Serrano; Jonas Aper; Tom De Swaef; An Ghesquiere; Paul Quataert; Isabel Roldán-Ruiz; Ivan A. Janssens; Greet Ruysschaert; Peter Lootens
Pubblicato in: Remote Sensing, 2021, ISSN 2072-4292
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs13173459

TEGBed: A thermal energy harvesting testbed for batteryless internet of things

Autori: Priyesh Pappinisseri Puluckul, Ritesh Kumar Singh, Maarten Weyn
Pubblicato in: Internet of Things, 2024, ISSN 2542-6605
Editore: Elsevier
DOI: 10.1016/j.iot.2024.101060