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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

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

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Autor(es):
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Vezy, Remi [1, 2, 3] ; Christina, Mathias [4] ; Roupsard, Olivier [5, 2, 6] ; Nouvellon, Yann [7, 2, 8] ; Duursma, Remko [9] ; Medlyn, Belinda [9] ; Soma, Maxime [1, 2, 10] ; Charbonnier, Fabien [1, 2, 11] ; Blitz-Frayret, Celine [1, 2] ; Stape, Jose-Luiz [12] ; Laclau, Jean-Paul [7, 1, 2] ; Virginio Filho, Elias de Melo [5] ; Bonnefond, Jean-Marc [3] ; Rapidel, Bruno [5, 13, 14] ; Do, Frederic C. [15, 2] ; Rocheteau, Alain [15, 2] ; Picart, Delphine [3] ; Borgonovo, Carlos [16] ; Loustau, Denis [3] ; Le Maire, Guerric [2, 17, 18]
Número total de Autores: 20
Afiliação do(s) autor(es):
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[1] CIRAD, UMR Eco&Sols, F-34398 Montpellier - France
[2] Univ Montpellier, CIRAD, INRA, IRD, Montpellier SupAgro, Eco&Sols, Montpellier - France
[3] INRA, UMR 1391, ISPA, F-33140 Villenave Dornon - France
[4] CIRAD, UR 115, AIDA, F-34398 Montpellier - France
[5] CATIE, Turrialba 30501 - Costa Rica
[6] CIRAD, UMR Eco&Sols, LMI IESOL, BP 1386 CP 18524, Dakar - Senegal
[7] Univ Sao Paulo, Sao Paulo, SP - Brazil
[8] CIRAD, UMR Eco&Sols, BR-05508900 Sao Paulo, SP - Brazil
[9] Western Sydney Univ, Hawkesbury Inst Environm, Locked Bag 1797, Penrith, NSW 2751 - Australia
[10] INRA, Ecol Forets Mediterraneennes, UR 629, F-84917 Avignon - France
[11] Colegio Frontera Sur, San Cristobal de las Casa 29290, Chiapas - Mexico
[12] Suzano Pulp & Paper, BR-08613900 Suzano - Brazil
[13] CIRAD, UMR Syst, F-34060 Montpellier - France
[14] Univ Montpellier, CIHEAM IAMM, CIRAD, INRA, Montpellier SupAgro, SYSTEM, Montpellier - France
[15] IRD, UMR Eco&Sols, F-34060 Montpellier - France
[16] Cafetalera Aquiares SA, POB 362-7150, Turrialba - Costa Rica
[17] Univ Estadual Campinas, NIPE, Campinas, SP - Brazil
[18] CIRAD, UMR Eco&Sols, BR-13083896 Campinas, SP - Brazil
Número total de Afiliações: 18
Tipo de documento: Artigo Científico
Fonte: Agricultural and Forest Meteorology; v. 253, p. 203-217, MAY 1 2018.
Citações Web of Science: 1
Resumo

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); R-2 = 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); R-2 = 0.87 and 0.85) and sensible-energy (RMSE = 54.6 and 45.8 W m(-2); R-2 = 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. (AU)

Processo FAPESP: 14/50715-9 - Characterizing and predicting biomass production in sugarcane and eucalyptus plantations in Brazil
Beneficiário:Rubens Augusto Camargo Lamparelli
Linha de fomento: Auxílio à Pesquisa - Parceria para Inovação Tecnológica - PITE