Data/hora: 23/09/2024 12:18:09

Biblioteca(s): 	Embrapa Agricultura Digital.	
Data corrente: 	14/01/2020	
Data da última atualização: 	14/01/2020	
Autoria: 	ATTIA, A.; CUADRA, S. V.; NOUVELLON, Y.; GUILLEMOT, J.; CAMPOE, O. C.; CABRAL, O. M. R.; LACLAU, J. P.; GALDOS, M.; LAMPARELLI, R.; LE MAIRE, G.	
Afiliação: 	AHMED ATTIA, Unicamp; SANTIAGO VIANNA CUADRA, CNPTIA; YANN NOUVELLON, UMR EcoSols (Univ Montpellier, Cirad, Inra, IRD, Montpellier SupAgro) - CIRAD, ESALQ/USP; JOANNÈS GUILLEMOT, UMR EcoSols (Univ Montpellier, Cirad, Inra, IRD, Montpellier SupAgro) - CIRAD, ESALQ; OTÁVIO CAMARGO CAMPOE, UFSC, UNESP; OSVALDO MACHADO RODRIGUES CABRAL, CNPMA; JEAN-PAUL LACLAU, UMR EcoSols (Univ Montpellier, Cirad, Inra, IRD, Montpellier SupAgro) - CIRAD, ESALQ/USP, UNESP; MARCELO GALDOS, University of Leeds; RUBENS LAMPARELLI, Unicamp; GUERRIC LE MAIRE.	
Título: 	Modelling Eucalyptus biomass production at regional scale in Brazil.	
Ano de publicação: 	2018	
Fonte/Imprenta: 	In: EUCALYPTUS, 2018, Montpellier. Managing Eucalyptus plantation under global changes: abstracts book. Montpellier: CIRAD, 2018.	
Páginas: 	p. 43.	
ISBN: 	978-2-87614-743-0	
Idioma: 	Inglês	
Notas: 	Na publicação: Santiago Cuandra.	
Conteúdo: 	Among forest vegetation grown in Brazil, Eucalyptus is the most widely planted tropical hardwood genus covering approximately 5.7 million ha for an average yield of 49 m3 ha-1 yr-1. Wide differences of biomass production were observed among neighboring stands representing challenges to forestry companies to spatially estimate biomass yield in large plantation zones. The first objective of the present research was to modify the carbon allocation scheme in the process-based model Generic Decomposition And Yield Model (G'DAY), to better capture the spatial variability in growth rates of Eucalyptus as in uenced by environmental constraints such as water stress. The model was parametrized and tested using experimental and long term commercial datasets in the state of S~ao Paulo Brazil. Measured data included several variables of carbon and water uxes and carbon stock. The calibrated model produced accurate prediction of the carbon key variables such as leaf area index, stem biomass, and gross primary production and water related variables such as plant available water and evapotranspiration. Simulating the spatial variability among commercial Eucalyptus stands at landscape scale showed reasonable prediction of plant height with r2 of 0.89 but lower level of accuracy for stem biomass. This could partially be attributed to spatial soil data differences used at regional scales which came from the Global Soil Dataset for Earth Systems Modeling dataset, at a resolution of 1 km. Testing the soil data with the use of soil type map crossed with soil profile measurements is expected to improve the soil information for higher accuracy of stem simulation at landscape to regional scale.	
Palavras-Chave: 	Ecophysiological Modelling; G’DAY; Regional Scale.	
Thesagro: 	Biomassa; Eucalipto.	
Thesaurus Nal: 	Biomass; Brazil; Eucalyptus.	
Categoria do assunto: 	X Pesquisa, Tecnologia e Engenharia	
Registro original: 	Embrapa Agricultura Digital (CNPTIA)	
Exemplares: 	CNPTIA - (20413-1) - UPC - PC - DD -  -  -  - DIS