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Article Dans Une Revue Science of the Total Environment Année : 2022

Contribution of deep soil layers to the transpiration of a temperate deciduous forest: Implications for the modelling of productivity

Résumé

Climate change is imposing drier atmospheric and edaphic conditions on temperate forests. Here, we investigated how deep soil (down to 300 cm) water extraction contributed to the provision of water in the Fontainebleau-Barbeau temperate oak forest over two years, including the 2018 record drought. Deep water provision was key to sustain canopy transpiration during drought, with layers below 150 cm contributing up to 60% of the transpired water in August 2018, despite their very low density of fine roots. We further showed that soil databases used to parameterize ecosystem models largely underestimated the amount of water extractable from the soil by trees, due to a considerable underestimation of the tree rooting depth. The consensus database established for France gave an estimate of 207 mm for the soil water holding capacity (SWHC) at Fontainebleau-Barbeau, when our estimate based on the analysis of soil water content measurements was 1.9 times as high, reaching 390±17 mm. Running the CASTANEA forest model with the database-derived SWHC yielded a 350 gC m −2 y −1 average underestimation of annual gross primary productivity under current climate, reaching up to 700 gC m −2 y −1 under climate change scenario RCP8.5. It is likely that the strong underestimation of SWHC that we show at our site is not a special case, and concerns a large number of forest sites. Thus, we argue for a generalisation 1 of deep soil water content measurements in forests, in order to improve the estimation of SWHC and the simulation of the forest carbon cycle in the current context of climate change.
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Dates et versions

hal-03857864 , version 1 (17-11-2022)

Identifiants

Citer

Jean Maysonnave, Nicolas Delpierre, Christophe François, Marion Jourdan, Ivan Cornut, et al.. Contribution of deep soil layers to the transpiration of a temperate deciduous forest: Implications for the modelling of productivity. Science of the Total Environment, 2022, 838 (Part 2), pp.155981. ⟨10.1016/j.scitotenv.2022.155981⟩. ⟨hal-03857864⟩
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