Abrupt Change in Dryland Ecosystem Functioning: Recent Advances and Lessons Learnt from the U-TURN Project
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
In the past five years, an international team has been working towards improved detection, characterization and modeling of abrupt changes in dryland ecosystem functioning, EF. This paper collects the recent advances and lessons learnt from the U-TURN project (Belspo SR/00/339, SR/00/366). Specifically abrupt changes in EF were mapped and categorized over global drylands; new 30m resolution time series of land cover maps and cover fractions were created, validated and released open access for the Sahel region; and new physically-based insights into dryland vegetation response to extreme rainfall were derived based on dryland optimized LPJ-GUESS simulations.
Original language | English |
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Title of host publication | IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings |
Number of pages | 4 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Publication date | 2021 |
Pages | 1394-1397 |
ISBN (Electronic) | 9781665403696 |
DOIs | |
Publication status | Published - 2021 |
Event | 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 - Brussels, Belgium Duration: 12 Jul 2021 → 16 Jul 2021 |
Conference
Conference | 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 |
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Land | Belgium |
By | Brussels |
Periode | 12/07/2021 → 16/07/2021 |
Sponsor | The Institute of Electrical and Electronics Engineers Geoscience and Remote Sensing Society (GRSS) |
Series | International Geoscience and Remote Sensing Symposium (IGARSS) |
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Volume | 2021-July |
Bibliographical note
Funding Information:
The current research is funded by the Belgian Science Policy Office in the frame of the U-TURN project (SR/00/339 and SR/00/366).
Publisher Copyright:
© 2021 IEEE.
- Abrupt change, Dryland, DVM, Earth observation, LULCC
Research areas
ID: 300913344