SOURCE-LINKED INTELLIGENCE
Characterizing dynamics and drivers of resilience across scales in Patagonian rangelands
Patagonian rangelands integrating the remote sensing-based resilience and field data. To achieve this, I will use state-of-the-art methods in ecology and data science (e.g., time series analysis and machine learning) to deliver a better understanding of which environmental variables impact resilience in what way. I will carry out the research at the Complutense University of Madrid (Spain) at the Department of Biodiversity, Ecology and Evolution, under the guidance of Dr. Miguel Berdugo; and I will undertake a secondment with the Soil Conservation research group at the National University of Luján (Argentina) under the supervision of Prof. Dr. Juan José Gaitán. resilience, vegetation dynamics, drylands, field observations, climate change, aridity
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 181152.96
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T02:21:08.944Z. This is not the publication date.