SOURCE-LINKED INTELLIGENCE
Decipher Multidimensional Biodiversity Resilience in a Drier world
ment across facets; 2) investigate resilience response to aridity thresholds through statistical modelling; and 3) predict and map resilience under increasing aridity conditions in the future using a machine learning algorithm. DEMBIRD will furnish global maps of multidimensional plant biodiversity resilience in drylands, for both current and future time periods, ultimately helping to prioritize regions where management effort is needed to mitigate desertification and to better define relevant ecological restoration actions. I will carry out this work under the supervision of Dr. Miguel Berdugo, at the Universidad Complutense de Madrid (Spain), with a secondment stay with Dr. Marcos Fernández Martínez at the Centro de Investigación Ecológica y Aplicaciones Forestales (Barcelona, Spain). Resilience, Aridity, Plant communities, Functional traits
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 209914.56
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T05:31:32.981Z. This is not the publication date.