Cristóbal J, Ninyerola M, Pons X, Pla M (2006) Improving Air Temperature Modelization by Means of Remote Sensing Variables. In: 26th International Geoscience And Remote Sensing Symposium. IEEE Press Vol. V, 2251-2254. (ISBN 0-7803-95-10-7)
Pla M, Torres M, Pons X, Monterde M, Ramoneda J, Pastor J (2005) El SIG corporativo de la Agencia Catalana del Agua (ACA) como herramienta de soporte a la gestión de los recursos hídricos de Cataluña. 6th Geomatic Week proceedings (ISSN 1699-3489).
Pons X, Serra P, Cristóbal J, Pla M, Monterde M (2005) Integración masiva de imágenes de Teledetección en la gestión de los recursos hídricos de Cataluña. 6th Geomatic Week proceedings (ISSN 1699-3489).
Morales P., Sykes M.T., Prentice I.C., Smith P., Smith B., Bugmann H., Zierl B., Friedlingstein P., Viovy N., Sabaté S., Sánchez A., Pla E., Gracia C.A., Sitch S., Arneth A., Ogee J. (2005) Comparing and evaluating process-based ecosystem model predictions of carbon and water fluxes in major European forest biomes. Global Change Biology. 11: 2211-2233.LinkDoi: 10.1111/j.1365-2486.2005.01036.x
Process-based models can be classified into: (a) terrestrial biogeochemical models (TBMs), which simulate fluxes of carbon, water and nitrogen coupled within terrestrial ecosystems, and (b) dynamic global vegetation models (DGVMs), which further couple these processes interactively with changes in slow ecosystem processes depending on resource competition, establishment, growth and mortality of different vegetation types. In this study, four models - RHESSys, GOTILWA +, LPJ-GUESS and ORCHIDEE - representing both modelling approaches were compared and evaluated against benchmarks provided by eddy-covariance measurements of carbon and water fluxes at 15 forest sites within the EUROFLUX project. Overall, model-measurement agreement varied greatly among sites. Both modelling approaches have somewhat different strengths, but there was no model among those tested that universally performed well on the two variables evaluated. Small biases and errors suggest that ORCHIDEE and GOTILWA + performed better in simulating carbon fluxes while LPJ-GUESS and RHESSys did a better job in simulating water fluxes. In general, the models can be considered as useful tools for studies of climate change impacts on carbon and water cycling in forests. However, the various sources of variation among models simulations and between models simulations and observed data described in this study place some constraints on the results and to some extent reduce their reliability. For example, at most sites in the Mediterranean region all models generally performed poorly most likely because of problems in the representation of water stress effects on both carbon uptake by photosynthesis and carbon release by heterotrophic respiration (Rh). The use of flux data as a means of assessing key processes in models of this type is an important approach to improving model performance. Our results show that the models have value but that further model development is necessary with regard to the representation of the some of the key ecosystem processes. © 2005 Blackwell Publishing Ltd.
Pla E, Gracia C, Espelta JM (2003) Tot perdent i guanyant carboni: La resposta dels boscos al canvi global. Viu la Ciència 2003. Societat Catalana de Biologia. Institut d'Estudis Catalans.
Pla E, Rodà F, Gracia C (2003) Modelización de la dinámica de combustible en ecosistemas arbustivos mediterráneos. In VII Congreso Nacional de la Asociación Española de Ecología Terrestre. AEET-CREAF. Soft Congres, Barcelona, pp. 1243-1261.
Salvador R., Piol J., Tarantola S., Pla E. (2001) Global sensitivity analysis and scale effects of a fire propagation model used over Mediterranean shrublands. Ecological Modelling. 136: 175-189.LinkDoi: 10.1016/S0304-3800(00)00419-1
A Global Sensitivity Analysis (GSA) and an analysis of scale effects have been carried out over the equations given by Rothermel (1972), with some additional modifications. Data mainly derived from Mediterranean shrublands and a spatially close meteorological station have been used to derive probability distribution functions for the variables involved. In spite of the abundant non-linearities contained in the equations studied, scale effects found have been relatively unimportant, thus supporting the current usage of spatial averages (i.e. fuel models) in spatially distributed models based on the Rothermel equations. On the other hand, the results of the GSA clearly showed the negligible effect of the variability of three of the model variables (the low heat content, the particle density and the mineral content) on the output values. However, all other input variables had some noticeable effect over the variability of the output, and they cannot be ignored if an optimal use of the model is desired. Finally, caution is recommended if results have to be extrapolated to other types of vegetation or climate. © 2001 Elsevier Science B.V.
Pla E, Rodà F (1999) Aproximació a la dinàmica successional del combustible en brolles mediterrànies. Orsis 14:79-103.
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