Quantifying the importance of day length in process-based models for the prediction of temperate spring flowering phenology.
Sci Total Environ
; 843: 156780, 2022 Oct 15.
Article
in En
| MEDLINE
| ID: mdl-35724787
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Climate Change
/
Forests
Type of study:
Prognostic_studies
/
Risk_factors_studies
Language:
En
Journal:
Sci Total Environ
Year:
2022
Document type:
Article