<?xml version="1.0"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Measuring and modelling energy partitioning in canopies of varying complexity using MAESPA model</dc:title>
  <dc:creator>Vezy, R.</dc:creator>
  <dc:creator>Christina, M.</dc:creator>
  <dc:creator>Roupsard, O.</dc:creator>
  <dc:creator>Nouvellon, Y.</dc:creator>
  <dc:creator>Duursma, R.</dc:creator>
  <dc:creator>Medlyn, B.</dc:creator>
  <dc:creator>Soma, M.</dc:creator>
  <dc:creator>Charbonnier, F.</dc:creator>
  <dc:creator>Blitz-Frayret, C.</dc:creator>
  <dc:creator>Stape, J. L.</dc:creator>
  <dc:creator>Laclau, J. P.</dc:creator>
  <dc:creator>Virginio, E. D.</dc:creator>
  <dc:creator>Bonnefond, J. M.</dc:creator>
  <dc:creator>Rapidel, B.</dc:creator>
  <dc:creator>/Do, Fr&#xE9;d&#xE9;ric</dc:creator>
  <dc:creator>/Rocheteau, Alain</dc:creator>
  <dc:creator>Picart, D.</dc:creator>
  <dc:creator>Borgonovo, C.</dc:creator>
  <dc:creator>Loustau, D.</dc:creator>
  <dc:creator>Le Maire, G.</dc:creator>
  <dc:subject>Partitioning</dc:subject>
  <dc:subject>Evapotranspiration</dc:subject>
  <dc:subject>Energy</dc:subject>
  <dc:subject>MAESPA</dc:subject>
  <dc:subject>Agroforestry system</dc:subject>
  <dc:subject>Process-based model</dc:subject>
  <dc:description>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.</dc:description>
  <dc:date>2018</dc:date>
  <dc:type>text</dc:type>
  <dc:identifier>https://www.documentation.ird.fr/hor/fdi:010072773</dc:identifier>
  <dc:identifier>fdi:010072773</dc:identifier>
  <dc:identifier>Vezy R., Christina M., Roupsard O., Nouvellon Y., Duursma R., Medlyn B., Soma M., Charbonnier F., Blitz-Frayret C., Stape J. L., Laclau J. P., Virginio E. D., Bonnefond J. M., Rapidel B., Do Fr&#xE9;d&#xE9;ric, Rocheteau Alain, Picart D., Borgonovo C., Loustau D., Le Maire G.. Measuring and modelling energy partitioning in canopies of varying complexity using MAESPA model. 2018, 253,  203-217</dc:identifier>
  <dc:language>EN</dc:language>
</oai_dc:dc>
