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 | Acesso ao texto completo restrito à biblioteca da Embrapa Clima Temperado. Para informações adicionais entre em contato com cpact.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Clima Temperado. |
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Data corrente: |
05/12/2023 |
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Data da última atualização: |
05/12/2023 |
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Autoria: |
DÍAZ, S.; KATTGE, J.; CORNELISSEN, J. H. C.; WRIGHT, I. J.; LAVOREL, S.; DRAY, S.; REU, B.; KLEYER, M.; WIRTH, C.; PRENTICE, I. C.; GARNIER, E.; BÖNISCH, G.; WESTOBY, M.; POORTER, H.; REICH, P. B.; MOLES, A. T.; DICKIE, J.; ZANNE, A. E.; CHAVE, J.; WRIGHT, S. J.; SHEREMETIEV, S. N.; JACTEL, H.; BARALOTO, C.; CERABOLINI, B. E. L.; PIERCE, S.; SHIPLEY, B.; CASANOVES, F.; JOSWIG, J. S.; GÜNTHER, A.; FALCZUK, V.; RÜGER, N.; MAHECHA, M. D.; GORNÉ, L. D.; AMIAUD, B.; ATKIN, O. K.; BAHN, M.; BALDOCCHI, D.; BECKMANN, M.; BLONDER, B.; BOND, W.; BOND-LAMBERTY, B.; BROWN, K.; BURRASCANO, S.; BYUN, C.; CAMPETELLA, G.; CAVENDER-BARES, J.; CHAPIN, F. S.; CHOAT, B.; COOMES, D. A.; CORNWELL, W. K.; CRAINE, J.; CRAVEN, D.; DAINESE, M.; ARAUJO, A. C. de; VRIES, F. T. de; DOMINGUES, T. F.; ENQUIST, B. J.; FAGÚNDEZ, J.; FANG, J.; FERNÁNDEZ-MÉNDEZ, F.; FERNANDEZ-PIEDADE, M. T.; FORD, H.; FOREY, E.; FRESCHET, G. T.; GACHET, S.; GALLAGHER, R.; GREEN, W.; GUERIN, G. R.; GUTIÉRREZ, A. G.; HARRISON, S. P.; HATTINGH, W. N.; HE, T.; HICKLER, T.; HIGGINS, S. I.; HIGUCHI, P.; ILIC, J.; JACKSON, R. B.; JALILI, A.; JANSEN, S.; KOIKE, F.; KÖNIG, C.; KRAFT, N.; KRAMER, K.; KREFT, H.; KÜHN, I.; KUROKAWA, H.; LAMB, E. G.; LAUGHLIN, D. C.; LEISHMAN, M.; LEWIS, S.; LOUAULT, F.; MALHADO, A. C. M.; MANNING, P.; MEIR, P.; MENCUCCINI, M.; MESSIER, J.; MILLER, R.; MINDEN, V.; MOLOFSKY, J.; MONTGOMERY, R.; MONTSERRAT-MARTÍ, G.; MORETTI, M.; MÜLLER, S.; NIINEMETS, Ü.; OGAYA, R.; ÖLLERER, K.; ONIPCHENKO, V.; ONODA, Y.; OZINGA, W. A.; PAUSAS, J. G.; PECO, B.; PENUELAS, J.; PILLAR, V. D.; PLADEVALL, C.; RÖMERMANN, C.; SACK, L.; SALINAS, N.; SANDEL, B.; SARDANS, J.; SCHAMP, B.; SCHERER-LORENZEN, M.; SCHULZE, E.; SCHWEINGRUBER, F.; SHIODERA, S.; SOSINSKI JUNIOR, E. E.; SOUDZILOVSKAIA, N.; SPASOJEVIC, M. J.; SWAINE, E.; SWENSON, N.; TAUTENHAHN, S.; THOMPSON, K.; TOTTE, A.; URRUTIA-JALABERT, R.; VALLADARES, F.; BODEGOM, P. V.; VASSEUR, F.; VERHEYEN, K.; VILE, D.; VIOLLE, C.; HOLLE, B. V.; WEIGELT, P.; WEIHER, E.; WIEMANN, M. C.; WILLIAMS, M.; WRIGHT, J.; ZOTZ, G. |
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Afiliação: |
SANDRA DÍAZ; JENS KATTGE; JOHANNES H. C. CORNELISSEN; IAN J. WRIGHT; SANDRA LAVOREL; STÉPHANE DRAY; BJÖRN REU; MICHAEL KLEYER; CHRISTIAN WIRTH; I. COLIN PRENTICE; ERIC GARNIER; GERHARD BÖNISCH; MARK WESTOBY; HENDRIK POORTER; PETER B. REICH; ANGELA T. MOLES; JOHN DICKIE; AMY E. ZANNE; JÉRÔME CHAVE; S. JOSEPH WRIGHT; SERGE N. SHEREMETIEV; HERVÉ JACTEL; CHRISTOPHER BARALOTO; BRUNO E. L. CERABOLINI; SIMON PIERCE; BILL SHIPLEY; FERNANDO CASANOVES; JULIA S. JOSWIG; ANGELA GÜNTHER; VALERIA FALCZUK; NADJA RÜGER; MIGUEL D. MAHECHA; LUCAS D. GORNÉ; BERNARD AMIAUD; OWEN K. ATKIN; MICHAEL BAHN; DENNIS BALDOCCHI; MICHAEL BECKMANN; BENJAMIN BLONDER; WILLIAM BOND; BEN BOND-LAMBERTY; KERRY BROWN; SABINA BURRASCANO; CHAEHO BYUN; GIANDIEGO CAMPETELLA; JEANNINE CAVENDER-BARES; F. STUART CHAPIN; BRENDAN CHOAT; DAVID ANTHONY COOMES; WILLIAM K. CORNWELL; JOSEPH CRAINE; DYLAN CRAVEN; MATTEO DAINESE; ALESSANDRO CARIOCA DE ARAUJO; FRANCISKA T. DE VRIES; TOMAS FERREIRA DOMINGUES; BRIAN J. ENQUIST; JAIME FAGÚNDEZ; JINGYUN FANG; FERNANDO FERNÁNDEZ-MÉNDEZ; MARIA T. FERNANDEZ-PIEDADE; HENRY FORD; ESTELLE FOREY; GREGOIRE T. FRESCHET; SOPHIE GACHET; RACHAEL GALLAGHER; WALTON GREEN; GREG R. GUERIN; ALVARO G. GUTIÉRREZ; SANDY P. HARRISON; WESLEY NEIL HATTINGH; TIANHUA HE; THOMAS HICKLER; STEVEN I. HIGGINS; PEDRO HIGUCHI; JUGO ILIC; ROBERT B. JACKSON; ADEL JALILI; STEVEN JANSEN; FUMITO KOIKE; CHRISTIAN KÖNIG; NATHAN KRAFT; KOEN KRAMER; HOLGER KREFT; INGOLF KÜHN; HIROKO KUROKAWA; ERIC G. LAMB; DANIEL C. LAUGHLIN; MICHELLE LEISHMAN; SIMON LEWIS; FRÉDÉRIQUE LOUAULT; ANA C. M. MALHADO; PETER MANNING; PATRICK MEIR; MAURIZIO MENCUCCINI; JULIE MESSIER; REGIS MILLER; VANESSA MINDEN; JANE MOLOFSKY; REBECCA MONTGOMERY; GABRIEL MONTSERRAT-MARTÍ; MARCO MORETTI; SANDRA MÜLLER; ÜLO NIINEMETS; ROMÀ OGAYA; KINGA ÖLLERER; VLADIMIR ONIPCHENKO; YUSUKE ONODA; WIM A. OZINGA; JULI G. PAUSAS; BEGOÑA PECO; JOSEP PENUELAS; VALÉRIO D. PILLAR; CLARA PLADEVALL; CHRISTINE RÖMERMANN; LAWREN SACK; NORMA SALINAS; BRODY SANDEL; JORDI SARDANS; BRANDON SCHAMP; MICHAEL SCHERER-LORENZEN; ERNST-DETLEF SCHULZE; FRITZ SCHWEINGRUBER; SATOMI SHIODERA; ENIO EGON SOSINSKI JUNIOR, CPACT; NADEJDA SOUDZILOVSKAIA; MARKO J. SPASOJEVIC; EMILY SWAINE; NATHAN SWENSON; SUSANNE TAUTENHAHN; KEN THOMPSON; ALEXIA TOTTE; ROCÍO URRUTIA-JALABERT; FERNANDO VALLADARES; PETER VAN BODEGOM; FRANÇOIS VASSEUR; KRIS VERHEYEN; DENIS VILE; CYRILLE VIOLLE; BETSY VON HOLLE; PATRICK WEIGELT; EVAN WEIHER; MICHAEL C. WIEMANN; MATHEW WILLIAMS; JUSTIN WRIGHT; GERHARD ZOTZ. |
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Título: |
The global spectrum of plant form and function: enhanced species-level trait dataset. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Scientific Data, v. 9, n. 1, 755, 2022. |
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Páginas: |
18 p. |
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ISSN: |
2052-4463 |
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DOI: |
https://doi.org/10.1038/s41597-022-01774-9 |
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Idioma: |
Inglês |
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Conteúdo: |
Here we provide the ‘Global Spectrum of Plant Form and Function Dataset’, containing species mean values for six vascular plant traits. Together, these traits –plant height, stem specific density, leaf area, leaf mass per area, leaf nitrogen content per dry mass, and diaspore (seed or spore) mass – define the primary axes of variation in plant form and function. The dataset is based on ca. 1 million trait records received via the TRY database (representing ca. 2,500 original publications) and additional unpublished data. It provides 92,159 species mean values for the six traits, covering 46,047 species. The data are complemented by higher-level taxonomic classification and six categorical traits (woodiness, growth form, succulence, adaptation to terrestrial or aquatic habitats, nutrition type and leaf type). Data quality management is based on a probabilistic approach combined with comprehensive validation against expert knowledge and external information. Intense data acquisition and thorough quality control produced the largest and, to our knowledge, most accurate compilation of empirically observed vascular plant species mean traits to date. |
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Palavras-Chave: |
Computer Science Applications; Library and Information Sciences; Statistics and Probability. |
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Thesagro: |
Estatística. |
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Thesaurus Nal: |
education; information systems. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 06107naa a2201969 a 4500
001 2159184
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022 $a2052-4463
024 7 $ahttps://doi.org/10.1038/s41597-022-01774-9$2DOI
100 1 $aDÍAZ, S.
245 $aThe global spectrum of plant form and function$benhanced species-level trait dataset.$h[electronic resource]
260 $c2022
300 $a18 p.
520 $aHere we provide the ‘Global Spectrum of Plant Form and Function Dataset’, containing species mean values for six vascular plant traits. Together, these traits –plant height, stem specific density, leaf area, leaf mass per area, leaf nitrogen content per dry mass, and diaspore (seed or spore) mass – define the primary axes of variation in plant form and function. The dataset is based on ca. 1 million trait records received via the TRY database (representing ca. 2,500 original publications) and additional unpublished data. It provides 92,159 species mean values for the six traits, covering 46,047 species. The data are complemented by higher-level taxonomic classification and six categorical traits (woodiness, growth form, succulence, adaptation to terrestrial or aquatic habitats, nutrition type and leaf type). Data quality management is based on a probabilistic approach combined with comprehensive validation against expert knowledge and external information. Intense data acquisition and thorough quality control produced the largest and, to our knowledge, most accurate compilation of empirically observed vascular plant species mean traits to date.
650 $aeducation
650 $ainformation systems
650 $aEstatística
653 $aComputer Science Applications
653 $aLibrary and Information Sciences
653 $aStatistics and Probability
700 1 $aKATTGE, J.
700 1 $aCORNELISSEN, J. H. C.
700 1 $aWRIGHT, I. J.
700 1 $aLAVOREL, S.
700 1 $aDRAY, S.
700 1 $aREU, B.
700 1 $aKLEYER, M.
700 1 $aWIRTH, C.
700 1 $aPRENTICE, I. C.
700 1 $aGARNIER, E.
700 1 $aBÖNISCH, G.
700 1 $aWESTOBY, M.
700 1 $aPOORTER, H.
700 1 $aREICH, P. B.
700 1 $aMOLES, A. T.
700 1 $aDICKIE, J.
700 1 $aZANNE, A. E.
700 1 $aCHAVE, J.
700 1 $aWRIGHT, S. J.
700 1 $aSHEREMETIEV, S. N.
700 1 $aJACTEL, H.
700 1 $aBARALOTO, C.
700 1 $aCERABOLINI, B. E. L.
700 1 $aPIERCE, S.
700 1 $aSHIPLEY, B.
700 1 $aCASANOVES, F.
700 1 $aJOSWIG, J. S.
700 1 $aGÜNTHER, A.
700 1 $aFALCZUK, V.
700 1 $aRÜGER, N.
700 1 $aMAHECHA, M. D.
700 1 $aGORNÉ, L. D.
700 1 $aAMIAUD, B.
700 1 $aATKIN, O. K.
700 1 $aBAHN, M.
700 1 $aBALDOCCHI, D.
700 1 $aBECKMANN, M.
700 1 $aBLONDER, B.
700 1 $aBOND, W.
700 1 $aBOND-LAMBERTY, B.
700 1 $aBROWN, K.
700 1 $aBURRASCANO, S.
700 1 $aBYUN, C.
700 1 $aCAMPETELLA, G.
700 1 $aCAVENDER-BARES, J.
700 1 $aCHAPIN, F. S.
700 1 $aCHOAT, B.
700 1 $aCOOMES, D. A.
700 1 $aCORNWELL, W. K.
700 1 $aCRAINE, J.
700 1 $aCRAVEN, D.
700 1 $aDAINESE, M.
700 1 $aARAUJO, A. C. de
700 1 $aVRIES, F. T. de
700 1 $aDOMINGUES, T. F.
700 1 $aENQUIST, B. J.
700 1 $aFAGÚNDEZ, J.
700 1 $aFANG, J.
700 1 $aFERNÁNDEZ-MÉNDEZ, F.
700 1 $aFERNANDEZ-PIEDADE, M. T.
700 1 $aFORD, H.
700 1 $aFOREY, E.
700 1 $aFRESCHET, G. T.
700 1 $aGACHET, S.
700 1 $aGALLAGHER, R.
700 1 $aGREEN, W.
700 1 $aGUERIN, G. R.
700 1 $aGUTIÉRREZ, A. G.
700 1 $aHARRISON, S. P.
700 1 $aHATTINGH, W. N.
700 1 $aHE, T.
700 1 $aHICKLER, T.
700 1 $aHIGGINS, S. I.
700 1 $aHIGUCHI, P.
700 1 $aILIC, J.
700 1 $aJACKSON, R. B.
700 1 $aJALILI, A.
700 1 $aJANSEN, S.
700 1 $aKOIKE, F.
700 1 $aKÖNIG, C.
700 1 $aKRAFT, N.
700 1 $aKRAMER, K.
700 1 $aKREFT, H.
700 1 $aKÜHN, I.
700 1 $aKUROKAWA, H.
700 1 $aLAMB, E. G.
700 1 $aLAUGHLIN, D. C.
700 1 $aLEISHMAN, M.
700 1 $aLEWIS, S.
700 1 $aLOUAULT, F.
700 1 $aMALHADO, A. C. M.
700 1 $aMANNING, P.
700 1 $aMEIR, P.
700 1 $aMENCUCCINI, M.
700 1 $aMESSIER, J.
700 1 $aMILLER, R.
700 1 $aMINDEN, V.
700 1 $aMOLOFSKY, J.
700 1 $aMONTGOMERY, R.
700 1 $aMONTSERRAT-MARTÍ, G.
700 1 $aMORETTI, M.
700 1 $aMÜLLER, S.
700 1 $aNIINEMETS, Ü.
700 1 $aOGAYA, R.
700 1 $aÖLLERER, K.
700 1 $aONIPCHENKO, V.
700 1 $aONODA, Y.
700 1 $aOZINGA, W. A.
700 1 $aPAUSAS, J. G.
700 1 $aPECO, B.
700 1 $aPENUELAS, J.
700 1 $aPILLAR, V. D.
700 1 $aPLADEVALL, C.
700 1 $aRÖMERMANN, C.
700 1 $aSACK, L.
700 1 $aSALINAS, N.
700 1 $aSANDEL, B.
700 1 $aSARDANS, J.
700 1 $aSCHAMP, B.
700 1 $aSCHERER-LORENZEN, M.
700 1 $aSCHULZE, E.
700 1 $aSCHWEINGRUBER, F.
700 1 $aSHIODERA, S.
700 1 $aSOSINSKI JUNIOR, E. E.
700 1 $aSOUDZILOVSKAIA, N.
700 1 $aSPASOJEVIC, M. J.
700 1 $aSWAINE, E.
700 1 $aSWENSON, N.
700 1 $aTAUTENHAHN, S.
700 1 $aTHOMPSON, K.
700 1 $aTOTTE, A.
700 1 $aURRUTIA-JALABERT, R.
700 1 $aVALLADARES, F.
700 1 $aBODEGOM, P. V.
700 1 $aVASSEUR, F.
700 1 $aVERHEYEN, K.
700 1 $aVILE, D.
700 1 $aVIOLLE, C.
700 1 $aHOLLE, B. V.
700 1 $aWEIGELT, P.
700 1 $aWEIHER, E.
700 1 $aWIEMANN, M. C.
700 1 $aWILLIAMS, M.
700 1 $aWRIGHT, J.
700 1 $aZOTZ, G.
773 $tScientific Data$gv. 9, n. 1, 755, 2022.
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Registro original: |
Embrapa Clima Temperado (CPACT) |
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Classificação |
Cutter |
Registro |
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Registro Completo
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Biblioteca(s): |
Embrapa Instrumentação. |
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Data corrente: |
23/11/2023 |
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Data da última atualização: |
15/01/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
VILLELA, J. M.; ANACHE, J. A. A.; WATANABE, A. M.; FLANAGAN, D. C.; CRESTANA, S. |
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Afiliação: |
University of Sao Paulo (USP); Federal University of Mato Grosso Do Sul; University of Sao Paulo (USP); USDA-Agricultural Research Service, National Soil Erosion Research Laboratory, 275 S. Russell St., West Lafayette, IN, 47907, USA; SILVIO CRESTANA, CNPDIA. |
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Título: |
Performance evaluation of a water erosion tracer using plot-scale experiments and process-based modeling. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
International Soil and Water Conservation Research. v. 11, 2023. |
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Páginas: |
622 - 623 |
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ISSN: |
2095-6339 |
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DOI: |
https://doi.org/10.1016/j.iswcr.2023.05.003 |
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Idioma: |
Inglês |
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Conteúdo: |
abstract Socioeconomic and environmental losses caused by water erosion have highlighted the importance of quantifying and understanding the dynamics of soil redistribution in the landscape to develop effective soil management practices. Several methods are applied to estimate erosion/deposition rates and identify sources of sediments, among them, the one that uses rare earth elements (REE) as a tracer stands out. However, an alternative not yet explored that can benefit the accuracy of the estimates provided by the method is using a tracer containing a chemical signature composed of more than one REE. The present study aimed to evaluate the performance of a new water erosion tracer based on montmorillonite labeled with rare earth elements (La40-MMT). The innovative aspects of this La40-MMT tracer include its highly stable multi-chemical signature (Nd3þ, La3þ, and Pr3þ), which enhances tracer detection in the environment, and its low production cost due to the use of an industrial residue in the synthesis process. The tracer was evaluated for a typical soil of the Cerrado biome, using a natural rainfall field-scale plot - NRFP (5 m 20 m) and a physical predictive erosion model (WEPP). The results showed that the La40-MMT tracer could be used to estimate erosion/deposition rates, with agreement between the values observed with the tracer and the WEPP model. Thus, this study confirmed the great potential of La40-MMT as a tool to identify patterns of soil redistribution at the field scale and aid in the validation of erosion models. © 2023 International Research and Training Center on Erosion and Sedimentation, China Water and Power Press, and China Institute of Water Resources and Hydropower Research. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BYNC-ND license. Menosabstract Socioeconomic and environmental losses caused by water erosion have highlighted the importance of quantifying and understanding the dynamics of soil redistribution in the landscape to develop effective soil management practices. Several methods are applied to estimate erosion/deposition rates and identify sources of sediments, among them, the one that uses rare earth elements (REE) as a tracer stands out. However, an alternative not yet explored that can benefit the accuracy of the estimates provided by the method is using a tracer containing a chemical signature composed of more than one REE. The present study aimed to evaluate the performance of a new water erosion tracer based on montmorillonite labeled with rare earth elements (La40-MMT). The innovative aspects of this La40-MMT tracer include its highly stable multi-chemical signature (Nd3þ, La3þ, and Pr3þ), which enhances tracer detection in the environment, and its low production cost due to the use of an industrial residue in the synthesis process. The tracer was evaluated for a typical soil of the Cerrado biome, using a natural rainfall field-scale plot - NRFP (5 m 20 m) and a physical predictive erosion model (WEPP). The results showed that the La40-MMT tracer could be used to estimate erosion/deposition rates, with agreement between the values observed with the tracer and the WEPP model. Thus, this study confirmed the great potential of La40-MMT as a tool to identify patterns of soil redistribution at the ... Mostrar Tudo |
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Palavras-Chave: |
Deposition; Sediment source; Tracer; WEPP Model. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1158662/1/P-Performance-evaluation-of-a-water-erosion-tracer-using-plot-scale.pdf
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Marc: |
LEADER 02642naa a2200253 a 4500
001 2158662
005 2024-01-15
008 2023 bl uuuu u00u1 u #d
022 $a2095-6339
024 7 $ahttps://doi.org/10.1016/j.iswcr.2023.05.003$2DOI
100 1 $aVILLELA, J. M.
245 $aPerformance evaluation of a water erosion tracer using plot-scale experiments and process-based modeling.$h[electronic resource]
260 $c2023
300 $a622 - 623
520 $aabstract Socioeconomic and environmental losses caused by water erosion have highlighted the importance of quantifying and understanding the dynamics of soil redistribution in the landscape to develop effective soil management practices. Several methods are applied to estimate erosion/deposition rates and identify sources of sediments, among them, the one that uses rare earth elements (REE) as a tracer stands out. However, an alternative not yet explored that can benefit the accuracy of the estimates provided by the method is using a tracer containing a chemical signature composed of more than one REE. The present study aimed to evaluate the performance of a new water erosion tracer based on montmorillonite labeled with rare earth elements (La40-MMT). The innovative aspects of this La40-MMT tracer include its highly stable multi-chemical signature (Nd3þ, La3þ, and Pr3þ), which enhances tracer detection in the environment, and its low production cost due to the use of an industrial residue in the synthesis process. The tracer was evaluated for a typical soil of the Cerrado biome, using a natural rainfall field-scale plot - NRFP (5 m 20 m) and a physical predictive erosion model (WEPP). The results showed that the La40-MMT tracer could be used to estimate erosion/deposition rates, with agreement between the values observed with the tracer and the WEPP model. Thus, this study confirmed the great potential of La40-MMT as a tool to identify patterns of soil redistribution at the field scale and aid in the validation of erosion models. © 2023 International Research and Training Center on Erosion and Sedimentation, China Water and Power Press, and China Institute of Water Resources and Hydropower Research. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BYNC-ND license.
653 $aDeposition
653 $aSediment source
653 $aTracer
653 $aWEPP Model
700 1 $aANACHE, J. A. A.
700 1 $aWATANABE, A. M.
700 1 $aFLANAGAN, D. C.
700 1 $aCRESTANA, S.
773 $tInternational Soil and Water Conservation Research.$gv. 11, 2023.
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