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Registro Completo |
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
06/06/1995 |
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Data da última atualização: |
19/03/2009 |
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Autoria: |
COUTO, H. T. Z. do. |
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Título: |
Volume and dry weight prediction with alterable utilization standards for five hardwood species in the Southeastern United States. |
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Ano de publicação: |
1977 |
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Fonte/Imprenta: |
1977. |
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Páginas: |
84 f. |
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Idioma: |
Inglês |
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Notas: |
Thesis (Doctor of Philosophy) - Graduate Faculty, North Carolina State University, Raleigh. |
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Conteúdo: |
The most important finding from this is work is that the direct estimation of volume and dry weight with alterable utilization standards is possible without the use of taper curves.In general, taper curves are cumbersome and complex and the estimation of volume is done trought the integration of the equation between two specified points.From the three most accepted geometric forms,viz, para boloid, conoid, and neiloid,the paraboloid seems to provide the best models for the desired volume estimation for the hardwood data considered. Its is simpler in form, has the same predictive ability as the conoid model and better than the neiloid model, and has lees problems with multicolinearaty. The paaramenters of the model that predict volume as a function of Height (wiht D anoH) can be estimated directly trough and ordinary least squares procedure, while the paramenters of the model that predicts volume as a function of top diameter (With D and H) must be estimated by a two-stange least squares procedure. The first equation in the two-stage procedure is the combined variables model that estimates total volume and the secondone is the equation derived for the paraboloid. Another finding of this study is that the pooling of regression equations for some species as wellas form some sites was posible. The possibility of grouping green ash with sweetgum was expectted because of shade intolerance of both.In relation to site, Black River Bottom can be pooled with wet and Branch Bottom. Branch Bottom,by definition,is very close to Black River Botom but on a much smaller scale. A probable reason for including the wet flat site in this group is the similarity in specion. Both Shade intolerance and species composition may influence the form of the trees. The Equations 57 through 62 were applied to the following site and species combinations: Black River Bottom, Wet Flat and Branch Botom - Green Ash, Sweetgum, Red Maple, Water-willow Oak;Bottomland,Green Ash,Sweetgum, Red Maple, American Sycamore, Water-Willow Oak.In general, the models that estimate volume or dry weight as a function of height give better predictive ability,i.e, the absolute deviations for the sections of relative height are smaller than for the models that estimate volume or dry weight as function of top diameter. Future studies are recommended using the same methodology and models for other species,particularly of the genus Pinus a more emphansis to the differences among them. No model is no exception. But the approach followed in this work is a new look into volume and dry weight prediction that shows promise, with some refinement, for use in forest surveys. MenosThe most important finding from this is work is that the direct estimation of volume and dry weight with alterable utilization standards is possible without the use of taper curves.In general, taper curves are cumbersome and complex and the estimation of volume is done trought the integration of the equation between two specified points.From the three most accepted geometric forms,viz, para boloid, conoid, and neiloid,the paraboloid seems to provide the best models for the desired volume estimation for the hardwood data considered. Its is simpler in form, has the same predictive ability as the conoid model and better than the neiloid model, and has lees problems with multicolinearaty. The paaramenters of the model that predict volume as a function of Height (wiht D anoH) can be estimated directly trough and ordinary least squares procedure, while the paramenters of the model that predicts volume as a function of top diameter (With D and H) must be estimated by a two-stange least squares procedure. The first equation in the two-stage procedure is the combined variables model that estimates total volume and the secondone is the equation derived for the paraboloid. Another finding of this study is that the pooling of regression equations for some species as wellas form some sites was posible. The possibility of grouping green ash with sweetgum was expectted because of shade intolerance of both.In relation to site, Black River Bottom can be pooled with wet and Branch Bottom. Bra... Mostrar Tudo |
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Palavras-Chave: |
Espécie lenhosa; Peso seco; Predição; Wood plants. |
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Thesagro: |
Madeira; Volume. |
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Thesaurus Nal: |
wood. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 03317nam a2200217 a 4500
001 1305638
005 2009-03-19
008 1977 bl uuuu m 00u1 u #d
100 1 $aCOUTO, H. T. Z. do
245 $aVolume and dry weight prediction with alterable utilization standards for five hardwood species in the Southeastern United States.
260 $a1977.$c1977
300 $a84 f.
500 $aThesis (Doctor of Philosophy) - Graduate Faculty, North Carolina State University, Raleigh.
520 $aThe most important finding from this is work is that the direct estimation of volume and dry weight with alterable utilization standards is possible without the use of taper curves.In general, taper curves are cumbersome and complex and the estimation of volume is done trought the integration of the equation between two specified points.From the three most accepted geometric forms,viz, para boloid, conoid, and neiloid,the paraboloid seems to provide the best models for the desired volume estimation for the hardwood data considered. Its is simpler in form, has the same predictive ability as the conoid model and better than the neiloid model, and has lees problems with multicolinearaty. The paaramenters of the model that predict volume as a function of Height (wiht D anoH) can be estimated directly trough and ordinary least squares procedure, while the paramenters of the model that predicts volume as a function of top diameter (With D and H) must be estimated by a two-stange least squares procedure. The first equation in the two-stage procedure is the combined variables model that estimates total volume and the secondone is the equation derived for the paraboloid. Another finding of this study is that the pooling of regression equations for some species as wellas form some sites was posible. The possibility of grouping green ash with sweetgum was expectted because of shade intolerance of both.In relation to site, Black River Bottom can be pooled with wet and Branch Bottom. Branch Bottom,by definition,is very close to Black River Botom but on a much smaller scale. A probable reason for including the wet flat site in this group is the similarity in specion. Both Shade intolerance and species composition may influence the form of the trees. The Equations 57 through 62 were applied to the following site and species combinations: Black River Bottom, Wet Flat and Branch Botom - Green Ash, Sweetgum, Red Maple, Water-willow Oak;Bottomland,Green Ash,Sweetgum, Red Maple, American Sycamore, Water-Willow Oak.In general, the models that estimate volume or dry weight as a function of height give better predictive ability,i.e, the absolute deviations for the sections of relative height are smaller than for the models that estimate volume or dry weight as function of top diameter. Future studies are recommended using the same methodology and models for other species,particularly of the genus Pinus a more emphansis to the differences among them. No model is no exception. But the approach followed in this work is a new look into volume and dry weight prediction that shows promise, with some refinement, for use in forest surveys.
650 $awood
650 $aMadeira
650 $aVolume
653 $aEspécie lenhosa
653 $aPeso seco
653 $aPredição
653 $aWood plants
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Registro original: |
Embrapa Florestas (CNPF) |
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| 1. |  | 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. C.; SVITKOVÁ, I.; SVITOK, M.; SVOBODA, M.; SWAINE, E.; SWENSON, N.; TABARELLI, M.; TAKAGI, K.; TAPPEINER, U.; TARIFA, R.; TAUUGOURDEAU, S.; TAVSANOGLU, C.; BEEST, M. te.; TEDERSOO, L.; THIFFAULT, N.; THOM, D.; THOMAS, E.; THOMPSON, K.; THORNTON, P. E.; THUILLER, W.; TICHÝ, L.; TISSUE, D.; TJOELKER, M. G.; TNG, D. Y. P.; TOBIAS, J.; TÖRÖK, P.; TARIN, T.; TORRES-RUIZ, J. M.; TÓTHMÉRÉSZ, B.; TREURNICHT, M.; TRIVELLONE, V.; TROLLIET, F.; TROTSIUK, V.; TSAKALOS, J. L.; TSIRIPIDIS, I.; TYSKLIND, N.; TORU UMEHARA, T.; USOLTSEV, V.; VADEBONCOEUR, M.; VAEZI, J.; VALLADARES, F.; VAMOSI, J.; BODEGOM, P. M. V.; BREUGEL, M. V.; CLEEMPUT, E. V.; WEG, M. V. de; MERWE, S. van der.; PLAS, F. van der.; SANDE, M. T. van der.; KLEUNEN, M. V.; MEERBEEK, K. V.; VANDERWEL, M.; VANSELOW, K. A.; VÅRHAMMAR, A.; VARONE, L.; VALDERRAMA, M. Y. V.; VASSILEV, K.; VELLEND, M.; VENEKLAAS, E. J.; VERBEECK, H.; VERHEYEN, K.; VIBRANS, A.; VIEIRA, I.; VILLACÍS, J.; VIOLLE, C.; VIVEK, P.; WAGNER, K.; WALDRAM, M.; WALDRON, A.; WALKER, A. P.; WALLER, M.; WALTHER, G.; WANG, H.; WANG, F.; WANG, W.; WATKINS, H.; WATKINS, J.; WEBER, U.; WEEDON, J. T.; WEI, L.; WEIGELT, P.; WEIHER, E.; WELLS, A. W.; WELLSTEIN, C.; ELIZABETH WENK, E.; WESTOBY, M.; WESTWOOD, A.; WHITE, P. J.; WHITTEN, M.; WILLIAMS, M.; WINKLER, D. E.; WINTER, K.; WOMACK, C.; WRIGHT, I. J.; WRIGHT, S. J.; WRIGHT, J.; PINHO, B. X.; XIMENES, F.; YAMADA, T.; YAMAJI, K.; YANAI, R.; YANKOV, N.; YGUEL, B.; ZANINI, K. J.; ZANNE, A. E.; ZELENÝ, D.; ZHAO, Y. P.; ZHENG, J.; ZHENG, J.; ZIEMINSKA, K.; ZIRBEL, C. R.; ZIZKA, G.; ZO-BI, I. C.; ZOTZ, G.; WIRTH, C. TRY plant trait database - enhanced coverage and open access. Global Change Biology, v. 26, n. 1, p. 119-188, Jan. 2020.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Amazônia Oriental; Embrapa Clima Temperado; Embrapa Recursos Genéticos e Biotecnologia. |
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| Registros recuperados : 1 | |
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