Agritrop
Home

Measuring and modelling energy partitioning in canopies of varying complexity using MAESPA model

Vezy Rémi, Christina Mathias, Roupsard Olivier, Nouvellon Yann, Duursma Remko A., Medlyn Belinda E., Soma Maxime, Charbonnier Fabien, Blitz-Frayret Céline, Stape Jose Luiz, Laclau Jean-Paul, Virginio Filho Elias de Melo, Bonnefond Jean-Marc, Rapidel Bruno, Do Frédéric C., Rocheteau Alain, Picart Delphine, Borgonovo Carlos, Loustau Denis, Le Maire Guerric. 2018. Measuring and modelling energy partitioning in canopies of varying complexity using MAESPA model. Agricultural and Forest Meteorology, 253-254 : pp. 203-2017.

Journal article ; Article de recherche ; Article de revue à facteur d'impact
[img] Published version - Anglais
Access restricted to CIRAD agents
Use under authorization by the author or CIRAD.
Vesy 2018 Measuring and modelling energy partitioning in canopies of varying complexity using MAESPA model.pdf

Télécharger (1MB) | Request a copy

Quartile : Q1, Sujet : FORESTRY / Quartile : Outlier, Sujet : AGRONOMY / Quartile : Q1, Sujet : METEOROLOGY & ATMOSPHERIC SCIENCES

Abstract : Evapotranspiration and energy partitioning are complex to estimate because they result from the interaction of many different processes, especially in multi-species and multi-strata ecosystems. We used MAESPA model, a mechanistic, 3D model of coupled radiative transfer, photosynthesis, and balances of energy and water, to simulate the partitioning of energy and evapotranspiration in homogeneous tree plantations, as well as in heterogeneous multi-species, multi-strata agroforests with diverse spatial scales and management schemes. The MAESPA model was modified to add (1) calculation of foliage surface water evaporation at the voxel scale; (2) computation of an average within-canopy air temperature and vapour pressure; and (3) use of (1) and (2) in iterative calculations of soil and leaf temperatures to close ecosystem-level energy balances. We tested MAESPA model simulations on a simple monospecific Eucalyptus stand in Brazil, and also in two complex, heterogeneous Coffea agroforests in Costa Rica. MAESPA satisfactorily simulated the daily and seasonal dynamics of net radiation (RMSE = 29.6 and 28.4 W m−2; R2 = 0.99 and 0.99 for Eucalyptus and Coffea sites respectively) and its partitioning between latent-(RMSE = 68.1 and 37.2 W m−2; R2 = 0.87 and 0.85) and sensible-energy (RMSE = 54.6 and 45.8 W m−2; R2 = 0.57 and 0.88) over a one-year simulation at half-hourly time-step. After validation, we use the modified MAESPA to calculate partitioning of evapotranspiration and energy between plants and soil in the above-mentioned agro-ecosystems. In the Eucalyptus plantation, 95% of the outgoing energy was emitted as latent-heat, while the Coffea agroforestry system's partitioning between sensible and latent-heat fluxes was roughly equal. We conclude that MAESPA process-based model has an appropriate balance of detail, accuracy, and computational speed to be applicable to simple or complex forest ecosystems and at different scales for energy and evapotranspiration partitioning. (Résumé d'auteur)

Mots-clés Agrovoc : Plantation forestière, Eucalyptus, Coffea, Agroforesterie, Modèle de simulation, Évapotranspiration, Énergie, Écosystème forestier, Saisonnalité, Modèle mathématique, Croissance

Mots-clés géographiques Agrovoc : Brésil, Costa Rica

Mots-clés complémentaires : Arbre à croissance rapide

Mots-clés libres : Energy partitioning, Évapotranspiration, MAESPA, Agroforestry system, Fast-growing plantations, Process-based model

Classification Agris : F60 - Plant physiology and biochemistry
F08 - Cropping patterns and systems
U30 - Research methods

Champ stratégique Cirad : Axe 6 (2014-2018) - Sociétés, natures et territoires

Auteurs et affiliations

  • Vezy Rémi, CIRAD-PERSYST-UMR Eco&Sols (FRA) ORCID: 0000-0002-0808-1461 - auteur correspondant
  • Christina Mathias, CIRAD-PERSYST-UPR AIDA (REU) ORCID: 0000-0003-3618-756X
  • Roupsard Olivier, CIRAD-PERSYST-UMR Eco&Sols (SEN)
  • Nouvellon Yann, CIRAD-PERSYST-UMR Eco&Sols (THA)
  • Duursma Remko A., UWS (AUS)
  • Medlyn Belinda E., UWS (AUS)
  • Soma Maxime, Université de Montpellier (FRA)
  • Charbonnier Fabien, CONACYT (ECU)
  • Blitz-Frayret Céline, CIRAD-PERSYST-UMR Eco&Sols (FRA)
  • Stape Jose Luiz, Suzano de Paper e Celulose (BRA)
  • Laclau Jean-Paul, CIRAD-PERSYST-UMR Eco&Sols (FRA) ORCID: 0000-0002-2506-214X
  • Virginio Filho Elias de Melo, CATIE (CRI)
  • Bonnefond Jean-Marc, INRA (FRA)
  • Rapidel Bruno, CIRAD-DG-Saurs (FRA) ORCID: 0000-0003-0288-5650
  • Do Frédéric C., IRD (FRA)
  • Rocheteau Alain, IRD (FRA)
  • Picart Delphine, INRA (FRA)
  • Borgonovo Carlos, Cafetalera Aquiares (CRI)
  • Loustau Denis, INRA (FRA)
  • Le Maire Guerric, CIRAD-PERSYST-UMR Eco&Sols (BRA) ORCID: 0000-0002-5227-958X

Source : Cirad-Agritrop (https://agritrop.cirad.fr/587294/)

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

[ Page générée et mise en cache le 2021-04-07 ]