2023
DOI: 10.1016/j.agrformet.2023.109702
|View full text |Cite
|
Sign up to set email alerts
|

Spatial patterns and recent temporal trends in global transpiration modelled using eco-evolutionary optimality

Shijie Li,
Guojie Wang,
Chenxia Zhu
et al.
Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
0
1

Year Published

2024
2024
2024
2024

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(1 citation statement)
references
References 65 publications
0
0
1
Order By: Relevance
“…The estimated rates of global transpiration trend are 0.65, 0.61, and 0.79 mm yr 2 for GLEAM_corr, PML_v2_corr and PM_P_corr, respectively. Importantly, transpiration trend from original products without observational constraints (0.70-1.04 mm yr 2 ) reflects an overestimation by 8%-32% compared to our constrained results (0.65-0.79 mm yr 2 ), indicating that the transpiration trend and its contribution to the overall evapotranspiration change are substantially overestimated by previous studies (F. S. Li et al, 2023;Martens et al, 2017).…”
Section: Trend In Constrained Transpirationcontrasting
confidence: 91%
“…The estimated rates of global transpiration trend are 0.65, 0.61, and 0.79 mm yr 2 for GLEAM_corr, PML_v2_corr and PM_P_corr, respectively. Importantly, transpiration trend from original products without observational constraints (0.70-1.04 mm yr 2 ) reflects an overestimation by 8%-32% compared to our constrained results (0.65-0.79 mm yr 2 ), indicating that the transpiration trend and its contribution to the overall evapotranspiration change are substantially overestimated by previous studies (F. S. Li et al, 2023;Martens et al, 2017).…”
Section: Trend In Constrained Transpirationcontrasting
confidence: 91%