2016
DOI: 10.1515/intag-2016-0006
|View full text |Cite
|
Sign up to set email alerts
|

Forcing variables in simulation of transpiration of water stressed plants determined by principal component analysis

Abstract: A b s t r a c t. To date, measuring plant transpiration at canopy scale is laborious and its estimation by numerical modelling can be used to assess high time frequency data. When using the model by Jacobs (1994) to simulate transpiration of water stressed plants it needs to be reparametrized. We compare the importance of model variables affecting simulated transpiration of water stressed plants. A systematic literature review was performed to recover existing parameterizations to be tested in the model. Data … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2019
2019
2019
2019

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 54 publications
0
2
0
Order By: Relevance
“…stomatal functions; leaf area; root depth and distribution, and hydraulic characteristics) and abiotic factors (e.g. soil water availability; climate, and depth to groundwater) (Durigon et al, 2016).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…stomatal functions; leaf area; root depth and distribution, and hydraulic characteristics) and abiotic factors (e.g. soil water availability; climate, and depth to groundwater) (Durigon et al, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…Alternatively, simulation models are used to estimate transpiration. However, to produce accurate simulations, these usually require on-site parameterization or calibration (Durigon et al, 2016;Vose et al, 2003). Recently, a simple approach was developed by Ayyoub et al (2017) relating the normalized daily sap velocities and the daily reference evapotranspiration (ET0).…”
Section: Introductionmentioning
confidence: 99%