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Registro Completo |
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
09/12/2019 |
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Data da última atualização: |
09/12/2019 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
ATTIA, A.; CUADRA, S. V.; NOUVELLON, Y.; GUILLEMOT, J.; CAMPOE, O. C.; CABRAL, O. M. R.; LACLAU, J.; GALDOS, M.; LAMPARELLI, R.; Le MAIRE, G. |
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Afiliação: |
A. ATTIA, Unicamp; SANTIAGO VIANNA CUADRA, CPACT; Y. NOUVELLON, UMR EcoSols (Univ Montpellier, Cirad, Inra, IRD, Montpellier SupAgro) CIRAD, ESALQ; J. GUILLEMOT, UMR EcoSols (Univ Montpellier, Cirad, Inra, IRD, Montpellier SupAgro) CIRAD, ESALQ; O. C. CAMPOE, UFSC, UNESP; OSVALDO MACHADO RODRIGUES CABRAL, CNPMA; J. LACLAU, UMR EcoSols (Univ Montpellier, Cirad, Inra, IRD, Montpellier SupAgro) CIRAD, ESALQ, UNESP; M. GALDOS, School of Earth and Environment, University of Leeds (ICAS); R. LAMPARELLI, Unicamp; G. Le MAIRE. |
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Título: |
Modelling eucalyptus biomass production at regional scale in Brazil. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
In: EUCALYPTUS 2018, Montpellier. Managing Eucalyptus plantation under global changes: abstracts book... Montpellier, France: CIRAD, 2018. |
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Páginas: |
p. 43. |
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Idioma: |
Português |
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Conteúdo: |
Among forest vegetation grown in Brazil, Eucalyptus is the most widely planted tropicalhardwood 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 representingchallenges 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 theprocess-based model Generic Decomposition And Yield Model (G?DAY), to better capture thespatial variability in growth rates of Eucalyptus as influenced by environmental constraints suchas water stress. The model was parametrized and tested using experimental and long termcommercial datasets in the state of S ?ao Paulo Brazil. Measured data included several variablesof carbon and water fluxes and carbon stock. The calibrated model produced accurate predictionof the carbon key variables such as leaf area index, stem biomass, and gross primary productionand water related variables such as plant available water and evapotranspiration. Simulating thespatial variability among commercial Eucalyptus stands at landscape scale showed reasonableprediction of plant height with r2 of 0.89 but lower level of accuracy for stem biomass. This couldpartially be attributed to spatial soil data differences used at regional scales which came fromthe Global Soil Dataset for Earth Systems Modeling dataset, at a resolution of 1 km. Testingthe soil data with the use of soil type map crossed with soil profile measurements is expectedto improve the soil information for higher accuracy of stem simulation at landscape to regionalscale. MenosAmong forest vegetation grown in Brazil, Eucalyptus is the most widely planted tropicalhardwood 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 representingchallenges 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 theprocess-based model Generic Decomposition And Yield Model (G?DAY), to better capture thespatial variability in growth rates of Eucalyptus as influenced by environmental constraints suchas water stress. The model was parametrized and tested using experimental and long termcommercial datasets in the state of S ?ao Paulo Brazil. Measured data included several variablesof carbon and water fluxes and carbon stock. The calibrated model produced accurate predictionof the carbon key variables such as leaf area index, stem biomass, and gross primary productionand water related variables such as plant available water and evapotranspiration. Simulating thespatial variability among commercial Eucalyptus stands at landscape scale showed reasonableprediction of plant height with r2 of 0.89 but lower level of accuracy for stem biomass. This couldpartially be attributed to spatial soil data differences used at regional scales which came fromthe Global Soil Dataset for Earth Systems Modeling dataset, at a resolution of 1 km. Testingthe soil d... Mostrar Tudo |
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Palavras-Chave: |
Ecophysiological Modelling; G’DAY; Regional Scale. |
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Thesagro: |
Biomassa; Eucalipto. |
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Thesaurus Nal: |
Biomass; Brazil; Eucalyptus. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/206504/1/RA-CabralOMR-Eucalyptus2018-Montpellier.pdf
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Marc: |
LEADER 02624nam a2200325 a 4500
001 2116380
005 2019-12-09
008 2019 bl uuuu u00u1 u #d
100 1 $aATTIA, A.
245 $aModelling eucalyptus biomass production at regional scale in Brazil.$h[electronic resource]
260 $aIn: EUCALYPTUS 2018, Montpellier. Managing Eucalyptus plantation under global changes: abstracts book... Montpellier, France: CIRAD$c2018
300 $ap. 43.
520 $aAmong forest vegetation grown in Brazil, Eucalyptus is the most widely planted tropicalhardwood 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 representingchallenges 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 theprocess-based model Generic Decomposition And Yield Model (G?DAY), to better capture thespatial variability in growth rates of Eucalyptus as influenced by environmental constraints suchas water stress. The model was parametrized and tested using experimental and long termcommercial datasets in the state of S ?ao Paulo Brazil. Measured data included several variablesof carbon and water fluxes and carbon stock. The calibrated model produced accurate predictionof the carbon key variables such as leaf area index, stem biomass, and gross primary productionand water related variables such as plant available water and evapotranspiration. Simulating thespatial variability among commercial Eucalyptus stands at landscape scale showed reasonableprediction of plant height with r2 of 0.89 but lower level of accuracy for stem biomass. This couldpartially be attributed to spatial soil data differences used at regional scales which came fromthe Global Soil Dataset for Earth Systems Modeling dataset, at a resolution of 1 km. Testingthe soil data with the use of soil type map crossed with soil profile measurements is expectedto improve the soil information for higher accuracy of stem simulation at landscape to regionalscale.
650 $aBiomass
650 $aBrazil
650 $aEucalyptus
650 $aBiomassa
650 $aEucalipto
653 $aEcophysiological Modelling
653 $aG’DAY
653 $aRegional Scale
700 1 $aCUADRA, S. V.
700 1 $aNOUVELLON, Y.
700 1 $aGUILLEMOT, J.
700 1 $aCAMPOE, O. C.
700 1 $aCABRAL, O. M. R.
700 1 $aLACLAU, J.
700 1 $aGALDOS, M.
700 1 $aLAMPARELLI, R.
700 1 $aLe MAIRE, G.
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Registro original: |
Embrapa Meio Ambiente (CNPMA) |
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Biblioteca |
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Origem |
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Classificação |
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Registro |
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Registro Completo
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Biblioteca(s): |
Embrapa Acre. |
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Data corrente: |
19/04/2001 |
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Data da última atualização: |
09/02/2023 |
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Tipo da produção científica: |
Documentos |
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Autoria: |
THOMAZINI, M. J.; THOMAZINI, A. P. B. W. |
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Afiliação: |
MARCILIO JOSE THOMAZINI, CPAF-AC; ARIANE P. B. W. THOMAZINI, BOLSISTA CNPq/PROBIO/EMBRAPA ACRE. |
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Título: |
A fragmentação florestal e a diversidade de insetos nas florestas tropicais úmidas. |
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Ano de publicação: |
2000 |
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Fonte/Imprenta: |
Rio Branco, AC: Embrapa Acre, 2000. |
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Páginas: |
21 p. |
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Série: |
(Embrapa Acre. Documentos, 57). |
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ISSN: |
0104-9046 |
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Idioma: |
Português |
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Conteúdo: |
Esse documento tem como objetivos caracterizar as consequencias da fragmentacao florestal na diversidade de insetos em florestas tropicais umidas e relatar tambem as principais metodologias de estudos e medidas de diversidade da entomofauna. |
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Palavras-Chave: |
Acre; Animal population; Biodiversidad; Bosque tropical húmedo; Brasil; Diversidade; Diversity; Entofauna; Floresta tropical umido; Forest; Fragmentação; Fragmentação florestal; Fragmentación de hábitats; Fragmento; Insect; Insectos; Rio Branco. |
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Thesagro: |
Biodiversidade; Entomofauna; Fauna; Floresta; Floresta Tropical Úmida; Inseto. |
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Thesaurus NAL: |
Amazonia; biodiversity; forests; Habitat fragmentation; Insecta; Insects; tropical forests; tropical rain forests. |
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Categoria do assunto: |
--
O Insetos e Entomologia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/CPAF-AC/7287/1/doc57.pdf
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Marc: |
LEADER 01615nam a2200529 a 4500
001 1498479
005 2023-02-09
008 2000 bl uuuu u0uu1 u #d
022 $a0104-9046
100 1 $aTHOMAZINI, M. J.
245 $aA fragmentação florestal e a diversidade de insetos nas florestas tropicais úmidas.
260 $aRio Branco, AC: Embrapa Acre$c2000
300 $a21 p.
490 $a(Embrapa Acre. Documentos, 57).
520 $aEsse documento tem como objetivos caracterizar as consequencias da fragmentacao florestal na diversidade de insetos em florestas tropicais umidas e relatar tambem as principais metodologias de estudos e medidas de diversidade da entomofauna.
650 $aAmazonia
650 $abiodiversity
650 $aforests
650 $aHabitat fragmentation
650 $aInsecta
650 $aInsects
650 $atropical forests
650 $atropical rain forests
650 $aBiodiversidade
650 $aEntomofauna
650 $aFauna
650 $aFloresta
650 $aFloresta Tropical Úmida
650 $aInseto
653 $aAcre
653 $aAnimal population
653 $aBiodiversidad
653 $aBosque tropical húmedo
653 $aBrasil
653 $aDiversidade
653 $aDiversity
653 $aEntofauna
653 $aFloresta tropical umido
653 $aForest
653 $aFragmentação
653 $aFragmentação florestal
653 $aFragmentación de hábitats
653 $aFragmento
653 $aInsect
653 $aInsectos
653 $aRio Branco
700 1 $aTHOMAZINI, A. P. B. W.
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Embrapa Acre (CPAF-AC) |
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