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Registro Completo |
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
14/01/2020 |
Data da última atualização: |
14/01/2020 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
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. MenosAmong 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. Testin... Mostrar Tudo |
Palavras-Chave: |
Ecophysiological Modelling; G’DAY; Regional Scale. |
Thesagro: |
Biomassa; Eucalipto. |
Thesaurus Nal: |
Biomass; Brazil; Eucalyptus. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
Marc: |
LEADER 02717nam a2200349 a 4500 001 2118695 005 2020-01-14 008 2018 bl uuuu u01u1 u #d 020 $a978-2-87614-743-0 100 1 $aATTIA, A. 245 $aModelling Eucalyptus biomass production at regional scale in Brazil.$h[electronic resource] 260 $aIn: EUCALYPTUS, 2018, Montpellier. Managing Eucalyptus plantation under global changes: abstracts book. Montpellier: CIRAD$c2018 300 $ap. 43. 500 $aNa publicação: Santiago Cuandra. 520 $aAmong 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. 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. P. 700 1 $aGALDOS, M. 700 1 $aLAMPARELLI, R. 700 1 $aLE MAIRE, G.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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Registros recuperados : 7 | |
1. | | MARSDEN, C.; LE MAIRE, G.; STAPE, J.; SEEN, D. L.; ROUPSARD, O.; CABRAL, O. M. R.; EPRON, D.; LIMA, A. M. N.; NOUVELLON, Y. Relating MODIS vegetation index time-series with structure, light absorption and stem production of fast-growing Eucalyptus plantations. Forest Ecology and Management, Amsterdam, v. 259, n. 9, p. 1741-1753, 2010.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Meio Ambiente. |
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2. | | 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. Modelling eucalyptus biomass production at regional scale in Brazil. In: EUCALYPTUS 2018, Montpellier. Managing Eucalyptus plantation under global changes: abstracts book... Montpellier, France: CIRAD, 2018. p. 43.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Meio Ambiente. |
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3. | | 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. Modelling Eucalyptus biomass production at regional scale in Brazil. In: EUCALYPTUS, 2018, Montpellier. Managing Eucalyptus plantation under global changes: abstracts book. Montpellier: CIRAD, 2018. p. 43. Na publicação: Santiago Cuandra.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Agricultura Digital. |
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4. | | COLMANETTI, M. A. A.; CUADRA, S. V.; LAMPARELLI, R. A. C.; BORTOLUCCI JUNIOR, J.; CABRAL, O. M. R.; CAMPOE, O. C.; VICTORIA, D. de C.; BARIONI, L. G.; GALDOS, M. V.; FIGUEIREDO, G. K. D. A.; LE MAIRE, G. Implementation and calibration of short-rotation eucalypt plantation module within the ECOSMOS land surface model. Agricultural and Forest Meteorology, v. 323, p. 1-15, Aug. 2022. Article number 109043.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Agricultura Digital; Embrapa Meio Ambiente. |
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5. | | WALDNER, F.; BELLEMANS, N.; HOCHMAN, Z.; NEWBY, T.; ABELLEYRA, D. de; VERÓN, S. R.; BARTALEV, S.; LAVRENIUK, M.; KUSSUL, N.; LE MAIRE, G.; SIMÕES, M.; SKAKUN, S.; DEFOURNY, P. Roadside collection of training data for cropland mapping is viable when environmental and management gradients are surveyed. International Journal of Applied Earth Observation and Geoinformation, v. 80, p. 82-93, Aug. 2019.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Solos. |
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6. | | JOLIVOT, A.; LEBOURGEOIS, V.; LEROUX, L.; AMELINE, M.; ANDRIAMANGA, V.; BELLÓN, B.; CASTETS, M.; CRESPIN-BOUCAUD, A.; DEFOURNY, P.; DIAZ, S.; DIEYE, M.; DUPUY, S.; FERRAZ, R. P. D.; GAETANO, R.; GELY, M.; JAHEL, C.; KABORE, B.; LELONG, C.; LE MAIRE, G.; LO SEEN, D.; MUTHONI, M.; NDAO, B.; NEWBY, T.; SANTOS, C. L. M. de O.; RASOAMALALA, E.; SIMÕES, M.; THIAW, I.; TIMMERMANS, A.; TRAN, A.; BÉGUÉ, A. Harmonized in situ datasets for agricultural land use mapping and monitoring in tropical countries. Earth System Science Data, v. 13, n. 2, p. 5951-5967, 2021.Biblioteca(s): Embrapa Solos. |
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7. | | KATTGE, J.; BÖNISCH, G.; DÍAZ, S.; LAVOREL, S.; PRENTICE, I. C.; LEADLEY, P.; TAUTENHAHN, S.; WERNER, G. D. A; AAKALA, T.; ABEDI, M; ACOSTA, A. T. R.; ADAMIDIS, G. C.; ADAMSON, K.; AIBA, M.; ALBERT, C. H; ALCÁNTARA, J. M.; ALCÁZAR, C.; ALEIXO, I.; ALI, H; AMIAUD, B.; AMMER, C.; AMOROSO, M. M.; ANAND, M; ANDERSON, C.; ANTEN, N.; ANTOS, J.; APGAUA, D. M. G.; ASHMAN, T. L.; ASMARA, D. H.; ASNER, G. P.; ASPINWALL, M.; ATKIN, O.; AUBIN, I.; BAASTRUP-SPOHR, L.; BAHALKEH, K.; BAHN, M; BAKER, T.; BAKER, W. J.; BAKKER, J. P.; BALDOCCHI, D.; BALTZER, J.; BANERJEE, A.; BARANGER, A.; BARLOW, J.; BARNECHE, D. R.; BARUCH, Z.; BASTIANELLI, D.; BATTLES, J.; BAUERLE, W.; BAUTERS, M.; BAZZATO, E.; BECKMANN, M.; BEECKMAN, H.; BEIERKUHNLEIN, C.; BEKKER, R; BELFRY, G.; BELLUAU, m.; BELOIU, M.; BENAVIDES, R.; BENOMAR, L.; BERDUGO-LATTKE, M. L.; BERENGUER, E.; BERGAMIN, R.; BERGMANN, J.; CARLUCCI, M. G.; BERNER, L.; BERNHARDT-RÖMERMANN, M.; BIGLER, C.; BJORKMAN, A. D.; BLACKMAN, C.; BLANCO, C.; BLONDER, B.; BLUMENTHAL, D.; BOCANEGRA-GONZÁLEZ, K. T.; BOECKX, P.; BOHLMAN, S.; BÖHNING-GAESE, K.; BOISVERT-MARSH, L.; BOND, W.; BOND-LAMBERTY, B.; BOOM, A.; BOONMAN, C. C. F.; KAUANE BORDIN; BOUGHTON, E. H.; BOUKILI, V.; BOWMAN, D. J. S.; BRAVO, S.; BRENDEL, M. R.; BROADLEY, M. R; BROWN, K. A.; BRUELHEIDE, H.; BRUMNICH, F.; BRUUN, H. H.; BRUY, D.; BUCHANAN, S. W.; BUCHER, S. F.; BUCHMANN, N.; BUITENWERF, R.; BUNKER, D. E.; BÜRGER, J.; BURRASCANO, S.; BURSLEM, D. F. R. P; BUTTERFIELD, B. J.; BYUN, C.; SCALON, M. C; CACCIANIGA, M.; CADOTTE, M.; CAILLERET, M.; CAMAC, J.; CAMARERO, J. J.; CAMPANY, C; CAMPETELLA, G.; CAMPOS, J. A.; CANO-ARBOLEDA, L.; CANULLO, R.; CARBOGNANI, M.; CARVALHO, F.; CASANOVES, F.; CASTAGNEYROL, B.; CATFORD, J. A.; CAVENDER-BARES, J.; CERABOLINI, B. E. L.; CERVELLINI, M; CHACÓN-MADRIGAL, E.; CHAPIN, K.; CHAPIN, F. S.; CHELLI, S; CHEN, S. C.; CHEN, A.; CHERUBINI, P.; CHIANUCCI, F.; CHOAT, B.; CHUNG, K. S.; CHYTRÝ, M.; CICCARELLI, D.; COLL, L.; COLLINS, C. G.; CONTI, L.; COOMES, D.; CORNELISSEN, J. H. C.; CORNWELL, W. K.; CORONA, P.; COYEA, M.; CRAINE, J.; CRAVEN, D.; CROMSIGT, J. P. G. M.; CSECSERITS, A; CUFAR, K.; CUNTZ, M.; SILVA, A. C. da; DAHLIN, K. M.; DAINESE, M.; DALKE, I.; FRATTE, M. D.; DANG-LE, A. T.; DANIHELKA, J.; DANNOURA, M.; DAWSON, S.; BEER, A. J. de; FRUTOS, A. de; LONG, J. R. de; DECHANT, B.; DELAGRANGE, S.; DELPIERRE, N.; DERROIRE, G.; DIAS, A. S.; DIAZ-TORIBIO, M. H.; DIMITRAKOPOULOS, P. G.; DOBROWOLSKI, M.; DOKTOR, D.; DREVOJAN, P.; DONG, N.; DRANSFIELD, J.; DRESSLER, S.; DUARTE, L.; DUCOURET, E.; DULLINGER, S.; DURKA, W.; DUURSMA, R.; DYMOVA, O.; E-VOJTKÓ, A.; ECKSTEIN, R. L.; EJTEHADI, H.; ELSER, J.; EMILIO, T.; ENGEMANN, K.; ERFANIAN, M. B.; ERFMEIER, A.; ESQUIVEL-MUELBERT, A.; ESSER, G.; ESTIARTE, M.; DOMINGUES, T. F.; FAGAN, W. F.; FAGÚNDEZ, J.; FALSTER, D. S.; FAN, Y.; FANG, J.; FARRIS, E.; FAZLIOGLU, F.; FENG, Y.; FEFERNANDEZ-MENDEZ, F.; FERRARA, C.; FERREIRA, J.; FIDELIS, A.; FINEGAN, B.; FIRN, J.; FLOWERS. T. J.; FLYNN, D. F. B.; FONTANA, V.; FOREY, E.; FORGIARINI, C.; FRANÇOIS, L.; FRANGIPANI, M.; FRANK, D.; FRENETTE-DUSSAULT, C.; FRESCHET, G. T.; FRY, E. L; FYLLAS, N. M.; MAZZOCHINI, G. G.; GACHET, S.; GALLAGHER, R.; GANADE, G.; GANGA, F.; GARCÍA-PALACIOS, P.; GARGAGLIONE, V.; GARNIER, E.; GARRIDO, J. L.; GASPER, A. L. de; GEA-IZQUIERDO, G.; GIBSON, D.; GILLISON, A. N.; GIROLDO, A.; GLASENHARDT, M. C.; GLEASON, S.; GLIESCH, M.; GOLDBERG, E.; GÖLDEL, B.; GONZALEZ-AKRE, E.; GONZALEZ-ANDUJAR, J. L.; GONZÁLEZ-MELO, A.; GONZÁLEZ-ROBLES, A.; GRAAE, B. J.; GRANDA, E.; GRAVES, S.; GREEN, W. A.; GREGOR, T.; GROSS, N.; GUERIN, G. R.; GÜNTHER, A.; GUTIÉRREZ, A. G.; HADDOCK, L.; HAINES, A.; HALL, J.; HAMBUCKERS, A.; HAN, W.; HARRISON, S. P.; HATTINGH, W.; HAWES, J. E.; HE, T.; HE, P.; HEBERLING, J. M.; HELM, A.; HEMPEL, S.; HENTSCHEL, J.; HÉRAULT, B.; HERE, A. M.; HERZ, K.; HEUERTZ, M.; HICKLER, T.; HIETZ, P.; HIGUCHI, P.; HIPP, A. L.; HIRONS, A.; HOCK, M.; HOGAN, J. A.; HOLL, K.; HONNAY, O.; HOVSTAD, K. A.; ICHIE, T.; IGIC, B.; ILLA, E.; ISAAC, M.; ISHIHARA, M.; IVANOV, L; IVANOVA, L.; IVERSEN, C. M.; IZQUIERDO, J.; JACKSON, R. B.; JACKSON, B.; JACTEL, H.; JAGODZINSKI, A. M.; JANDT, U.; JANSEN, S.; JENKINS, T.; JENTSCH, A.; JESPERSEN, J. R. P.; JIANG, G. F.; JOHANSEN, J. L.; JOHNSON, D.; JOKELA, E. J.; JOLY, C. A.; JORDAN, G. J.; JOSEPH, G. S.; JUNAEDI, D.; JUNKER, R. R.; JUSTES, E.; KABZEMS, R.; KANE, J.; KAPLAN, Z.; KATTENBORN, T.; KAVELENOVA, L.; KEARSLEY, E.; KEMPEL, A.; KENZO, T.; KERKHOFF, A.; KHALIL, M. I.; KINLOCK, N. L.; KISSLING, W. D.; KITAJIMA, K.; KITZBERGER, T.; KJØLLER, R.; KLEIN, T.; KLEYER, M.; KLIMESOVÁ, J.; KLIPEL, J.; KLOEPPEL, B.; KLOTZ, S.; KNOPS, J. M. H.; KOHYAMA, T.; KOIKE, F.; KOLLMANN, J.; KOMAC, B.; KOMATSU, K.; KÖNIG, C.; KRAFT, N. J. B; KRAMER, K.; KREFT, H.; KÜHN, I.; KUMARATHUNGE, D.; KUPPLER, J.; KUROKAWA, H.; KUROSAWA, Y.; KUYAH, S.; LACLAU, J. P.; LAFLEUR, B.; LALLAI, E.; LAMB, E.; LAMPRECHT, A.; LARKIN, D. J.; LAUGHLIN, D.; BAGOUSSE-PINGUET, Y. le; MAIRE, G. le; ROUX, P. C. le.; ROUX, E. le; LEE, T.; LENS, F.; LEWIS, S. L.; LHOTSKY, B; LI, Y.; LI, X.; LICHSTEIN, J. W.; LIEBERGESELL, M; LIM, J. Y.; LIN, Y. S.; LINARES, J. C.; LIU, C.; LIU, D.; LIU, U.; LIVINGSTONE, S.; LLUSIÀ, J.; LOHBECK, M.; LÓPEZ-GARCÍA, A.; LOPEZ-GONZALEZ, G.; LOSOSOVÁ, Z.; LOUAULT, F.; LUKÁCS, B. A.; LUKES, P.; LUO, Y.; LUSSU, M.; MA, S.; PEREIRA, A. M. R.; MACK, M.; MAIRE, V; MÄKELÄ, A.; MÄKINEN, H.; MALHADO, A. C. M.; MALLIK, A.; MANNING, P.; MANZONI, S.; MARCHETTI, Z.; MARCHINO, L.; MARCILIO-SILVA, V.; MARCON, E.; MARIGNANI, M.; MARKESTEIJN, L.; MARTIN, A.; MARTÍNEZ-GARZA, C.; MARTÍNEZ-VILALTA, J.; MASKOVÁ, T.; MASON, K.; MASON, N.; MASSAD, T. J; MASSE, J.; MAYROSE, I.; MCCARTHY, J.; MCCORMACK, M. L.; MCCULLOH, K.; MCFADDEN, I. R.; MCGILL, B. J; MCPARTLAND, M. Y.; MEDEIROS, J. S.; MEDLYN, B.; MEERTS, P.; MEHRABI, Z.; MEIR, P.; MELO, F. P. L.; MENCUCCINI, M.; MEREDIEU, C.; MESSIER, J.; MÉSZÁROS, I.; METSARANTA, J.; MICHALETZ, S. T.; MICHELAKI, C.; MIGALINA, S.; MILLA, R.; MILLER, J. E. D.; MINDEN, V.; MING, R.; MOKANY, K.; MOLES, A. T.; MOLNÁR V, A. M.; MOLOFSKY, J.; MOLZ, M.; MONTGOMERY, R. A.; MONTY, A.; MORAVCOVÁ, L.; MORENO-MARTÍNEZ, A.; MORETTI, M.; MORI, A. S.; MORI, S.; MORRIS, D.; MORRISON, J.; MUCINA, L.; MUELLER, S.; MUIR, C. D.; MÜLLER, S. C.; MUNOZ, F.; MYERS-SMITH, I. H.; MYSTER, R. W.; NAGANO, M.; NAIDU, S.; NARAYANAN, A.; NATESAN, B.; NEGOITA, L.; NELSON, A. S.; NEUSCHULZ, E. L.; NI, J.; NIEDRIST, G.; NIETO, J.; NIINEMETS, U.; NOLAN, R.; NOTTEBROCK, H.; NOUVELLON, Y.; NOVAKOVSKIY, A.; THE NUTRIENT NETWORK; NYSTUEN, K. O.; O'GRADY, A.; O'HARA, K.; O'REILLY-NUGENT, A.; OAKLEY, S.; OBERHUBER, W.; OHTSUKA, T.; OLIVEIRA, R.; ÖLLERER, K.; OLSON, M. E.; ONIPCHENKO, V.; ONODA, Y.; ONSTEIN, R. E.; ORDONEZ, J. C.; OSADA, N.; OSTONEN, I.; OTTAVIANI, G.; OTTO, S.; OVERBECK, G. E.; OZINGA, W. A.; PAHL, A. T.; PAINE, C. E. T.; PAKEMAN, R. J.; PAPAGEORGIOU, A. C.; PARFIONOVA, E.; PÄRTEL, M.; PATACCA, M.; PAULA, S.; PAULE, J.; PAULI, H.; PAUSAS, J. G.; PECO, B.; PENUELAS, J.; PEREA, A.; PERI, P. L.; APETISCO-SOUZA, A. C.; PETRAGLIA, A.; PETRITAN, A. M.; PHILLIPS, O. L.; PIERCE, S.; PILLAR, V. D.; PISEK, J.; POMOGAYBIN, A.; POORTER, H.; PORTSMUTH, A.; POSCHLOD, P.; POTVIN, C.; POUNDS, D.; POWELL, S.; POWER, S. A.; PRINZING, A; PUGLIELLI, G.; PY-EK, P.; RAEVEL, V.; RAMMIG, A.; RANSIJN, J.; RAY, C. A.; REICH, P. B.; REICHSTEIN, M.; REID, D. E. B; RÉJOU-MÉCHAIN, M.; DIOS, V. R. de; RIBEIRO, S.; RICHARDSON, S.; RIIBAK, K.; RILLIG, M. C.; RIVIERA, F; ROBERT, E. M. R.; ROBERTS, S.; ROBROEK, B.; RODDY, A.; RODRIGUES, A. V.; ROGERS, A.; ROLLINSON, E.; ROLO, V.; RÖMERMANN, C.; RONZHINA, D.; ROSCHER, C.; ROSELL, J. A.; ROSENFIELD, M. F.; ROSSI, C.; ROY, D. B.; ROYER-TARDIF, S.; RÜGER, N.; RUIZ-PEINADO, R.; RUMPF, S. B.; RUSCH, G. M; RYO, M.; SACK, L.; SALDAÑA, A.; SALGADO-NEGRET, B.; SALGUERO-GOMEZ, R.; SANTA-REGINA, I.; SANTACRUZ-GARCÍA, A. C.; SANTOS, J.; SARDANS, J.; SCHAMP, B.; SCHERER-LORENZEN, M.; SCHLEUNING, M.; SCHMID, B.; SCHMIDT, M.; SCHMITT, S.; SCHNEIDER, J. V.; SCHOWANEK, S. D.; SCHRADER, J.; SCHRODT, F.; SCHULDT, B.; SCHURR, F.; GARVIZU, G. S.; SEMCHENKO, M.; SEYMOUR, C.; SFAIR, J. C.; SHARPE, J. M.; SHEPPARD, C. S.; SHEREMETIEV, S.; SHIODERA, S.; SHIPLEY, B.; SHOVON, T. A.; SIEBENKÄS, A.; SIERRA, C.; SILVA, V.; SILVA, M.; SITZIA, T.; SJÖMAN, H.; SLOT, M.; SMITH, N. G.; SODHI, D.; SOLTIS, P.; SOLTIS, D.; SOMERS, B.; SONNIER, G.; SØRENSEN, M. V.; SOSINSKI JUNIOR, E. E.; SOUDZILOVSKAIA, N. A.; SOUZA, A. F.; SPASOJEVIC, M.; SPERANDII, M. G.; STAN, A. B.; STEGEN, J.; STEINBAUER, K.; STEPHAN, J. G.; STERCK, F.; STOJANOVIC, D. B.; STRYDOM, T.; SUAREZ, M. L.; SVENNING, J. 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Biblioteca(s): Embrapa Amazônia Oriental; Embrapa Clima Temperado; Embrapa Recursos Genéticos e Biotecnologia. |
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