6533b854fe1ef96bd12aebfb
RESEARCH PRODUCT
Optimized Application of Biome-BGC for Modeling the Daily GPP of Natural Vegetation Over Peninsular Spain
Luca FibbiArnaud CarraraMaría Amparo GilabertSergio Sánchez-ruizMarta ChiesiFabio Masellisubject
0106 biological sciencesAtmospheric Science010504 meteorology & atmospheric sciencesEcologyBiomePaleontologySoil ScienceForestryBIOME-BGCAquatic SciencePEM010603 evolutionary biology01 natural sciencesremote sensingRemote sensing (archaeology)Spainrooting depthEnvironmental sciencePhysical geographyGPP0105 earth and related environmental sciencesWater Science and Technologydescription
A methodology for improving the application of Biome-BGC in peninsular Spain was developed focusing on the optimization of the rooting depth (zroot), which is not available for the study area on a spatially distributed basis. The optimal zroot was identified by comparing daily gross primary production (GPP) simulations with varying zroot to GPP estimations from a production efficiency model previously optimized for and validated in the study area. The methodology was first tested in four eddy covariance (EC) sites representative of Mediterranean ecosystems and next applied at a regional scale to the whole study area. As a result, daily GPP simulated maps for the 2005-2012 period and an optimal zroot map were obtained. Optimal zroot in the four EC sites was shallower than the default one (100 cm) and led to better simulation results. Realistic, spatially distributed GPP estimates were obtained at regional scale. Withal, some discrepancies appeared both at local and regional scale emphasizing the difficulty to adequately simulate the site's water budget and the need for proper setting of inputs, including zroot for the correct functioning of Biome-BGC. The performed optimization opens the door for using Biome-BGC to simulate other main vegetation processes, such as net carbon fluxes, in the study area.
year | journal | country | edition | language |
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2018-02-01 |