NDLI: A Linking Test that establishes if groundwater recharge can be determined by optimising vegetation parameters against soil moisture

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Annals of Forest Science : Volume 65, Issue 6, January 2008

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Annals of Forest Science : Volume 65, Issue 4, January 2008

Annals of Forest Science : Volume 65, Issue 3, January 2008

Annals of Forest Science : Volume 65, Issue 2, January 2008

Annals of Forest Science : Volume 65, Issue 1, January 2008

Annals of Forest Science : Volume 64

A Linking Test that establishes if groundwater recharge can be determined by optimising vegetation parameters against soil moisture

Content Provider	Springer Nature Link
Author	Pollacco, Joseph Alexander Paul Braud, Isabelle Angulo Jaramillo, Rafael Saugier, Bernard
Copyright Year	2008
Abstract	• The impact of afforestation/deforestation on groundwater recharge can be predicted by using one-dimensional soil-vegetation water flow models based on Richards’ equation. However simulations depend upon parameters that are not easily measurable. • Pollacco et al. (2008) showed that the hydraulic parameters can be determined, if the vegetation parameters are known, by fitting simulated time series of soil moisture profiles to those measured in situ. This paper presents a case study to determine if the interception and crop factor parameters can tentatively be calibrated by fitting soil moisture profiles. Synthetic data were used and the other vegetation parameters and the soil hydraulic parameters were assumed to be known. • We applied and improved the Linking Test developed by Pollacco et al. (2008) to look for links between the parameters that need to be calibrated, and thus to investigate whether inverse modelling is feasible, which depends on the accuracy of the calibration data. • The Linking Test established that interception and evapotranspiration parameters are linked and, therefore, uncertainty on interception compensates for uncertainty on evapotranspiration. Thus in spite of a good match between observed and simulated soil moisture data, inverse modelling is unfeasible. This is true even if the interception or the crop factor parameters are known, because an error on interception or evapotranspiration will be compensated by an error on groundwater recharge without affecting soil moisture. • This paper recommends that vegetation parameters should not be calibrated by optimisation against soil moisture data. • L’impact de la déforestation/reforestation, sur la recharge des eaux souterraines, peut être quantifié en employant les modèles unidimensionnels d’écoulement dans le continuum sol-plante-atmosphère. Ces modèles sont fondés sur la solution de l’équation de Richards. Cependant, quel que soit le modèle, les simulations dépendent de paramètres qui sont difficilement mesurables. • Pollacco et al. (2008) ont montré comment les paramètres hydrodynamiques du sol peuvent être déterminés, lorsque ceux de la végétation sont supposés connus, en ajustant une série chronologique simulée de profils d’humidité du sol à des profils mesurés in situ. Cet article recherche, à travers une étude de cas, si les paramètres d’interception et le coefficient cultural peuvent être estimés à partir des profils d’humidité du sol. Des données synthétiques simulées sont employées dans l’estimation tout en supposant connus les autres paramètres de végétation et les paramètres hydrodynamiques du sol. • Le Test de Liaison développé par Pollacco et al. (2008) a été amélioré afin d’établir le lien existant entre les paramètres qui doivent être estimés, et de déterminer si la modélisation inverse est réalisable, ce qui dépend de la précision des données d’étalonnage. • Le Test de Liaison a permis d’établir le degré de liaison entre les paramètres d’interception et d’évapotranspiration, et en conséquence d’estimer de combien l’incertitude sur l’interception compense celle sur l’évapotranspiration. Ainsi, malgré une bonne correspondance entre les données d’humidité de sol observées et simulées, la modélisation inverse n’est pas faisable. Ceci reste vrai même lorsque les paramètres d’interception et le coefficient cultural sont connus, car les erreurs sur l’interception ou l’évapotranspiration sont compensées par une erreur sur la recharge. Ces erreurs n’ont pas d’effet sur l’humidité du sol. • Cet article suggère que les paramètres de végétation ne devraient pas être estimés par optimisation sur des données d’humidité du sol.
Starting Page	702
Ending Page	702
Page Count	1
File Format	PDF
ISSN	12864560
Journal	Annals of Forest Science
Volume Number	65
Issue Number	7
e-ISSN	1297966X
Language	French
Publisher	Springer Netherlands
Publisher Date	2008-01-01
Publisher Institution	Institut National de la Recherche Agronomique (INRA)
Publisher Place	Dordrecht
Access Restriction	Subscribed
Subject Keyword	test de Liaison model inverse humidité du sol paramètres de végétation recharge Forestry Wood Science & Technology Forestry Management Tree Biology Environment
Content Type	Text
Resource Type	Article
Subject	Ecology Forestry

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