Energy, water and carbon exchanges in managed forest ecosystems: description, sensitivity analysis and evaluation of the INRAE GO plus model, version 3.0

被引:6
作者
Moreaux, Virginie [1 ,11 ]
Martel, Simon [1 ,10 ]
Bosc, Alexandre [1 ]
Picart, Delphine [1 ]
Achat, David [1 ]
Moisy, Christophe [1 ]
Aussenac, Raphael [1 ]
Chipeaux, Christophe [1 ]
Bonnefond, Jean-Marc [1 ]
Figueres, Soisick [1 ]
Trichetl, Pierre [1 ]
Vezy, Remi [2 ]
Badeau, Vincent [3 ]
Longdoz, Bernard [3 ]
Granier, Andre [3 ]
Roupsard, Olivier [4 ]
Nicolas, Manuel [5 ]
Pilegaard, Kim [6 ]
Matteucci, Giorgio [7 ]
Jolivet, Claudy [8 ]
Black, Andrew T. [9 ]
Picard, Olivier [10 ]
Loustau, Denis [1 ]
机构
[1] INRAE, UMR ISPA, Bordeaux Sci Agro, F-33140 Villenave Dornon, France
[2] Univ Montpellier, INRAE, CNRS, AMAP,CIRAD,IRD, Montpellier, France
[3] INRAE, UMR SILVA 1434, F-54280 Champenoux, France
[4] Univ Montpellier, Montpellier SupAgro, INRAE, Eco&Sols,CIRAD,IRD, Montpellier, France
[5] ONF, Dept RDI, F-77300 Fontainebleau, France
[6] Tech Univ Denmark, Dept Environm Engn, DK-2800 Lyngby, Denmark
[7] CNR, ISAFOM, I-80056 Ercolano, NA, Italy
[8] INRAE, US1106 InfoSol, F-45075 Orleans, France
[9] Fac Land & Food Syst, Vancouver, BC V6T 1Z4, Canada
[10] CNPF IDF, F-75000 Paris, France
[11] Univ Grenoble Alpes, CNRS, UMR IGE 5001, F-38058 Grenoble, France
基金
欧盟地平线“2020”;
关键词
ENVIRONMENT SIMULATOR JULES; 3 ORGANIZATIONAL SCALES; BEECH FAGUS-SYLVATICA; PINUS-PINASTER AIT; MARITIME PINE; CLIMATE-CHANGE; SOIL CARBON; STOMATAL CONDUCTANCE; SAP-FLOW; PHOTOSYNTHETIC CAPACITY;
D O I
10.5194/gmd-13-5973-2020
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
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.
引用
收藏
页码:5973 / 6009
页数:37
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