Modeling and Simulation; Earth and Planetary Sciences (all)
Abstract :
[en] The mechanistic model GO+ describes the functioning and growth of managed forests based upon biophysical and biogeochemical processes. The biophysical and biogeochemical processes included are modelled using standard formulations of radiative transfer, convective heat exchange, evapotranspiration, photosynthesis, respiration, plant phenology, growth and mortality, biomass nutrient content, and soil carbon dynamics. The forest ecosystem is modelled as three layers, namely the tree overstorey, understorey and soil. The vegetation layers include stems, branches and foliage and are partitioned dynamically between sunlit and shaded fractions. The soil carbon submodel is an adaption of the Roth-C model to simulate the impact of forest operations. The model runs at an hourly time step. It represents a forest stand covering typically 1 ha and can be straightforwardly upscaled across gridded data at regional, country or continental levels. GO+ accounts for both the immediate and long-term impacts of forest operations on energy, water and carbon exchanges within the soil-vegetation-atmosphere continuum. It includes exhaustive and versatile descriptions of management operations (soil preparation, regeneration, vegetation control, selective thinning, clear-cutting, coppicing, etc.), thus permitting the effects of a wide variety of forest management strategies to be estimated: from close to nature to intensive. This paper examines the sensitivity of the model to its main parameters and estimates how errors in parameter values are propagated into the predicted values of its main output variables. The sensitivity analysis demonstrates an interaction between the sensitivity of variables, with the climate and soil hydraulic properties being dominant under dry conditions but the leaf biochemical properties being most influential with wet soil. The sensitivity profile of the model changes from short to long timescales due to the cumulative effects of the fluxes of carbon, energy and water on the stand growth and canopy structure. Apart from a few specific cases, the model simulations are close to the values of the observations of atmospheric exchanges, tree growth, and soil carbon and water stock changes monitored over Douglas fir, European beech and pine forests of different ages. We also illustrate the capacity of the GO+ model to simulate the provision of key ecosystem services, such as the long-term storage of carbon in biomass and soil under various management and climate scenarios.
Disciplines :
Environmental sciences & ecology
Author, co-author :
Moreaux, Virginie; Bordeaux-Sciences-Agro, INRAE, UMR ISPA, Villenave d'Ornon, France ; CNRS, UMR IGE 5001, Université de Grenoble-Alpes, Grenoble, France
Martel, Simon ; Bordeaux-Sciences-Agro, INRAE, UMR ISPA, Villenave d'Ornon, France ; CNPF-IDF, Paris, France
Bosc, Alexandre; Bordeaux-Sciences-Agro, INRAE, UMR ISPA, Villenave d'Ornon, France
Picart, Delphine; Bordeaux-Sciences-Agro, INRAE, UMR ISPA, Villenave d'Ornon, France
Achat, David; Bordeaux-Sciences-Agro, INRAE, UMR ISPA, Villenave d'Ornon, France
Moisy, Christophe; Bordeaux-Sciences-Agro, INRAE, UMR ISPA, Villenave d'Ornon, France
Aussenac, Raphael ; Bordeaux-Sciences-Agro, INRAE, UMR ISPA, Villenave d'Ornon, France
Chipeaux, Christophe; Bordeaux-Sciences-Agro, INRAE, UMR ISPA, Villenave d'Ornon, France
Bonnefond, Jean-Marc; Bordeaux-Sciences-Agro, INRAE, UMR ISPA, Villenave d'Ornon, France
Figuères, Soisick; Bordeaux-Sciences-Agro, INRAE, UMR ISPA, Villenave d'Ornon, France
Trichet, Pierre; Bordeaux-Sciences-Agro, INRAE, UMR ISPA, Villenave d'Ornon, France
Badeau, Vincent; INRAE, UMR SILVA 1434, Champenoux, France
Longdoz, Bernard ; Université de Liège - ULiège > Département GxABT > Biosystems Dynamics and Exchanges (BIODYNE) ; INRAE, UMR SILVA 1434, Champenoux, France
Granier, André; INRAE, UMR SILVA 1434, Champenoux, France
Financial support. This research has been supported by the FrenchThis research has been supported by the French National Research Agency (ANR, grant nos. 10-CPL-0011 and 13-AGRO-0005), the Agency for ecological transition (ADEME, grant no.13-60-C0092) and the European Union's Horizon H2020 programme (grant no. 730944).
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