Agritrop
Home

Reconciling canopy interception parameterization and rainfall forcing frequency in the community land model for simulating evapotranspiration of rainforests and oil palm plantations in Indonesia

Fan Yuanchao, Meijide Ana, Lawrence David M., Roupsard Olivier, Carlson Kimberly M., Chen Hsin-Yi, Röll Alexander, Niu Furong, Knohl Alexander. 2019. Reconciling canopy interception parameterization and rainfall forcing frequency in the community land model for simulating evapotranspiration of rainforests and oil palm plantations in Indonesia. Journal of Advances in Modeling Earth Systems, 11 (3) : pp. 732-751.

Journal article ; Article de recherche ; Article de revue à facteur d'impact Revue en libre accès total
[img]
Preview
Published version - Anglais
License Licence Creative Commons.
Fan JAMES 2019 Reconciling Canopy Interception Parameterization and Rainfall frequency CLM Evapotranspiration Rainforests Oil palm.pdf

Télécharger (2MB) | Preview

Quartile : Q1, Sujet : METEOROLOGY & ATMOSPHERIC SCIENCES

Abstract : By mediating evapotranspiration processes, plant canopies play an important role in the terrestrial water cycle and regional climate. Substantial uncertainties exist in modeling canopy water interception and related hydrological processes due to rainfall forcing frequency selection and varying canopy traits. Here we design a new time interpolation method “zero” to better represent convective‐type precipitation in tropical regions. We also implement and recalibrate plant functional type‐specific interception parameters for rainforests and oil palm plantations, where oil palms express higher water interception capacity than forests, using the Community Land Model (CLM) versions 4.5 and 5.0 with CLM‐Palm embedded. Reconciling the interception scheme with realistic precipitation forcing produces more accurate canopy evaporation and transpiration for both plant functional types, which in turn improves simulated evapotranspiration and energy partitioning when benchmarked against observations from our study sites in Indonesia and an extensive literature review. Regional simulations for Sumatra and Kalimantan show that industrial oil palm plantations have 18–27% higher transpiration and 15–20% higher evapotranspiration than forests on an annual regional average basis across different ages or successional stages, even though the forests experience higher average precipitation according to reanalysis data. Our land‐only modeling results indicate that current oil palm plantations in Sumatra and Kalimantan use 15–20% more water (mean 220 mm or 20 Gt) per year compared to lowland rainforests of the same extent. The extra water use by oil palm reduces soil moisture and runoff that could affect ecosystem services such as productivity of staple crops and availability of drinking water in rural areas.

Mots-clés Agrovoc : Forêt tropicale humide, Elaeis guineensis, Évapotranspiration, Modèle de simulation, Modèle mathématique, Couvert, Pluie, Eau potable, services écosystémiques

Mots-clés géographiques Agrovoc : Indonésie, Kalimantan

Mots-clés complémentaires : Canopée

Classification Agris : U10 - Computer science, mathematics and statistics
K01 - Forestry - General aspects
F60 - Plant physiology and biochemistry
P40 - Meteorology and climatology

Champ stratégique Cirad : CTS 1 (2019-) - Biodiversité

Agence(s) de financement européenne(s) : European Commission

Programme de financement européen : H2020

Projet(s) de financement européen(s) : Coordinated Research in Earth Systems and Climate: Experiments, kNowledge, Dissemination and Outreach

Auteurs et affiliations

  • Fan Yuanchao, University of Göttingen (DEU) - auteur correspondant
  • Meijide Ana, University of Göttingen (DEU)
  • Lawrence David M., National Center for Atmospheric Research (USA)
  • Roupsard Olivier, CIRAD-PERSYST-UMR Eco&Sols (SEN)
  • Carlson Kimberly M., University of Hawaii at Manoa (USA)
  • Chen Hsin-Yi, University of Hawaii at Manoa (USA)
  • Röll Alexander, University of Göttingen (DEU)
  • Niu Furong, University of Göttingen (DEU)
  • Knohl Alexander, University of Göttingen (DEU)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/592211/)

View Item (staff only) View Item (staff only)

[ Page générée et mise en cache le 2021-02-16 ]