Global models and predictions of plant diversity based on advanced machine learning techniques.
New Phytol
; 237(4): 1432-1445, 2023 02.
Article
in En
| MEDLINE
| ID: mdl-36375492
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Ecosystem
/
Biodiversity
Type of study:
Prognostic_studies
/
Risk_factors_studies
Limits:
Humans
Language:
En
Journal:
New Phytol
Journal subject:
BOTANICA
Year:
2023
Document type:
Article
Affiliation country:
Country of publication: