Modelling carbon and water balance of <em>Eucalyptus</em> plantations at regional scale: Effect of climate, soil and genotypes
2019
Attia, Ahmed | Nouvellon, Yann | Cuadra, Santiago | Cabral, Osvaldo | Laclau, Jean-Paul | Guillemot, Joannès | Campoe, Otavio | Stape, Jose-Luiz | Galdos, Marcelo | Lamparelli, Rubens | Le Maire, Guerric | Universidade Estadual de Campinas = University of Campinas (UNICAMP) | Ecologie fonctionnelle et biogéochimie des sols et des agro-écosystèmes (UMR Eco&Sols) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro) | Universidade Federal de São Paulo = Federal University of São Paulo | Département Performances des systèmes de production et de transformation tropicaux (Cirad-PERSYST) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad) | Brazilian Agricultural Research Corporation = Empresa Brasileira de Pesquisa Agropecuária (Embrapa) | Embrapa Meio Ambiente = Embrapa Environment ; Brazilian Agricultural Research Corporation = Empresa Brasileira de Pesquisa Agropecuária (Embrapa) | Universidade Federal de Lavras = Federal University of Lavras (UFLA) | Universidade Estadual Paulista Júlio de Mesquita Filho = São Paulo State University (UNESP) | University of Leeds | FAPESP-Microsoft Research the project "Characterizing and Predicting Biomass Production in Sugarcane and Eucalyptus Plantations in Brazil" (SEMP) of the Sao Paulo Research Foundation (FAPESP-Microsoft Research) (2014/50715-9); Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP) (2017/00886-0 et 2012/06933-6); EUCFLUX project (Arcelor Mittal); EUCFLUX project (Cenibra); EUCFLUX project (Bahia Specialty Cellulose); EUCFLUX project (Duratex); EUCFLUX project (Fibria); EUCFLUX project (International Paper); EUCFLUX project (Klabin); EUCFLUX project (Suzann); EUCFLUX project (Vallourec Florestal); ANR-13-AGRO-0005; Ecofor; Allenvi; French National Research Infrastructure ANAEE-F; IN-SYLVA network | ANR-13-AGRO-0005,MACACC,Modélisation pour l'accompagnement des ACteurs, vers l'Adaptation des Couverts pérennes ou agroforestiers aux Changements globaux(2013)
International audience
اظهر المزيد [+] اقل [-]إنجليزي. Carbon and water budgets of forest plantations are spatially and temporally variable and hardly empirically predictable. We applied G’DAY, a process-based ecophysiological model, to simulate carbon and water budgets and stem biomass production of Eucalyptus plantations in São Paulo State, Brazil. Our main objective was to assess the drivers of spatial variability in plantation production at regional scale. We followed a multi-site calibration approach: the model was first parameterized using a detailed experimental dataset. Then a subset of the parameters were re-calibrated on two independent experimental datasets. An additional genotype-specific calibration of a subset of parameters was performed. Model predictions of key carbon-related variables (e.g., gross primary production, leaf area index and stem biomass) and key water-related variables (e.g., plant available water and evapotranspiration) agreed closely with measurements. Application of the model across ca. 27,500 ha of forests planted with different genotypes of Eucalyptus indicated that the model was able to capture 89% of stem biomass variability measured at different ages. Several factors controlling Eucalyptus production variability in time and space were grouped in three categories: soil, climate, and the planted genotype. Modelling analysis showed that calibrating the model for genotypic differences was critical for stem biomass prediction at regional scale, but that taking into account climate and soil variability significantly improved the results. We conclude that application of process-based models at regional scale can be used for accurate predictions of Eucalyptus production, provided that an accurate calibration of the model for key genotype-specific parameters is conducted.
اظهر المزيد [+] اقل [-]الكلمات المفتاحية الخاصة بالمكنز الزراعي (أجروفوك)
المعلومات البيبليوغرافية
تم تزويد هذا السجل من قبل Institut national de la recherche agronomique