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Registro Completo |
Biblioteca(s): |
Embrapa Solos. |
Data corrente: |
08/07/2019 |
Data da última atualização: |
11/11/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
COSTA, E. U. C. da; ARAUJO, J. K. S.; NEVES, L. V. de M. W.; ARAUJO FILHO, J. C. de; SOUZA, J. E. S. de; CORRÊA, M. M.; RIBEIRO FILHO, M. R.; SOUZA JÚNIOR, V. S. de. |
Afiliação: |
EDIVAN UCHÔA CAVALCANTI DA COSTA, UFRPE; JANE KELLY SILVA ARAUJO, UFRPE; LAÉRCIO VIEIRA DE MELO WANDERLEY NEVES, UFRPE; JOSE COELHO DE ARAUJO FILHO, CNPS; JULIET EMÍLIA SANTOS DE SOUSA, UFRPE; MARCELO METRI CORRÊA, UFRPE; MATEUS ROSAS RIBEIRO FILHO, UFRPE; VALDOMIRO SEVERINO DE SOUZA JÚNIOR, UFRPE. |
Título: |
Genesis and classification of Nitisols from volcano-sedimentary lithology in northeastern Brazil. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
Revista Brasileira de Ciência do Solo, v. 43, article e0180101, 2019. |
DOI: |
https://doi.org/10.1590/18069657rbcs20180101 |
Idioma: |
Inglês |
Conteúdo: |
On the southern coast of Pernambuco State (PE), Brazil, lithotypes of the Cabo Basin (volcanic and sedimentary rocks), in association with the relief, allow the determination of the dynamics of the formation of Nitossolos Háplicos (Nitisols), including those with high levels of exchangeable aluminum. The objective of this study was to evaluate the influence of lithological diversity (basalt and sedimentary siliciclastic rocks) on the morphological, physical, chemical, and mineralogical properties of Nitossolos Háplicos along a slope (P1-summit, P2-backslope, P3-footslope) on the southern coast of PE, in order to consider its genesis and the relation of soil properties to adjacent environments and to evaluate its framing within the Brazilian Soil Classification System (SiBCS). The interaction of lithology/soil permeability and climate indicate significant differences in the mineralogical composition and dynamics of soil chemical elements. The profiles P1 and P2 are subject to monosialitization, ferralitization, and alitization processes. All profiles showed high Fe contents (ferric soils) and clay fractions, consisting primarily of kaolinite, goethite, hematite, and gibbsite, as well as quartz and feldspar in the sand and silt fractions. However, smectite minerals (P3) are probably inherited from the sedimentary source material. In the conglomerate samples, under P3, biotite, muscovite, and plagioclase were identified. Allytic characteristics (P3) are probably associated with the weathering of aluminous smectite minerals. These properties distinguish these soils from adjacent Nitossolos and other Nitossolos in Brazil. For the classification of soils according to SiBCS, considering the high levels of Fe and Al, Nitossolo Háplico distroférrico (P1 and P2) and Nitossolo Háplico alitiférrico (P3) are suggested, and according to the World Reference Base of Soils (WRB), the soils are classified as Ferritic Nitisols. MenosOn the southern coast of Pernambuco State (PE), Brazil, lithotypes of the Cabo Basin (volcanic and sedimentary rocks), in association with the relief, allow the determination of the dynamics of the formation of Nitossolos Háplicos (Nitisols), including those with high levels of exchangeable aluminum. The objective of this study was to evaluate the influence of lithological diversity (basalt and sedimentary siliciclastic rocks) on the morphological, physical, chemical, and mineralogical properties of Nitossolos Háplicos along a slope (P1-summit, P2-backslope, P3-footslope) on the southern coast of PE, in order to consider its genesis and the relation of soil properties to adjacent environments and to evaluate its framing within the Brazilian Soil Classification System (SiBCS). The interaction of lithology/soil permeability and climate indicate significant differences in the mineralogical composition and dynamics of soil chemical elements. The profiles P1 and P2 are subject to monosialitization, ferralitization, and alitization processes. All profiles showed high Fe contents (ferric soils) and clay fractions, consisting primarily of kaolinite, goethite, hematite, and gibbsite, as well as quartz and feldspar in the sand and silt fractions. However, smectite minerals (P3) are probably inherited from the sedimentary source material. In the conglomerate samples, under P3, biotite, muscovite, and plagioclase were identified. Allytic characteristics (P3) are probably associated with... Mostrar Tudo |
Thesagro: |
Nitossolo. |
Thesaurus Nal: |
Nitisols; Smectite. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/199267/1/2019-024.pdf
|
Marc: |
LEADER 02762naa a2200253 a 4500 001 2110452 005 2021-11-11 008 2019 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1590/18069657rbcs20180101$2DOI 100 1 $aCOSTA, E. U. C. da 245 $aGenesis and classification of Nitisols from volcano-sedimentary lithology in northeastern Brazil.$h[electronic resource] 260 $c2019 520 $aOn the southern coast of Pernambuco State (PE), Brazil, lithotypes of the Cabo Basin (volcanic and sedimentary rocks), in association with the relief, allow the determination of the dynamics of the formation of Nitossolos Háplicos (Nitisols), including those with high levels of exchangeable aluminum. The objective of this study was to evaluate the influence of lithological diversity (basalt and sedimentary siliciclastic rocks) on the morphological, physical, chemical, and mineralogical properties of Nitossolos Háplicos along a slope (P1-summit, P2-backslope, P3-footslope) on the southern coast of PE, in order to consider its genesis and the relation of soil properties to adjacent environments and to evaluate its framing within the Brazilian Soil Classification System (SiBCS). The interaction of lithology/soil permeability and climate indicate significant differences in the mineralogical composition and dynamics of soil chemical elements. The profiles P1 and P2 are subject to monosialitization, ferralitization, and alitization processes. All profiles showed high Fe contents (ferric soils) and clay fractions, consisting primarily of kaolinite, goethite, hematite, and gibbsite, as well as quartz and feldspar in the sand and silt fractions. However, smectite minerals (P3) are probably inherited from the sedimentary source material. In the conglomerate samples, under P3, biotite, muscovite, and plagioclase were identified. Allytic characteristics (P3) are probably associated with the weathering of aluminous smectite minerals. These properties distinguish these soils from adjacent Nitossolos and other Nitossolos in Brazil. For the classification of soils according to SiBCS, considering the high levels of Fe and Al, Nitossolo Háplico distroférrico (P1 and P2) and Nitossolo Háplico alitiférrico (P3) are suggested, and according to the World Reference Base of Soils (WRB), the soils are classified as Ferritic Nitisols. 650 $aNitisols 650 $aSmectite 650 $aNitossolo 700 1 $aARAUJO, J. K. S. 700 1 $aNEVES, L. V. de M. W. 700 1 $aARAUJO FILHO, J. C. de 700 1 $aSOUZA, J. E. S. de 700 1 $aCORRÊA, M. M. 700 1 $aRIBEIRO FILHO, M. R. 700 1 $aSOUZA JÚNIOR, V. S. de 773 $tRevista Brasileira de Ciência do Solo$gv. 43, article e0180101, 2019.
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Embrapa Solos (CNPS) |
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
Data corrente: |
26/09/2023 |
Data da última atualização: |
27/09/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
TAVARES, J. V.; OLIVEIRA, R. S.; MENCUCCINI, M.; SIGNORI-MÜLLER , C.; PEREIRA, L.; DINIZ, F. C.; GILPIN, M.; ZEVALLOS, M. J. M.; SALAS YUPAYCCANA, C. A.; ACOSTA, M.; PÉREZ MULLISACA, F. M.; BARROS, F. de V.; BITTENCOURT, P.; JANCOSKI, H.; SCALON, M. C.; MARIMON, B. S.; MENOR, I. O.; MARIMON JUNIOR, B. H.; FANCOURT, M.; CHAMBERS-OSTLER, A.; ESQUIVEL-MUELBERT, A.; ROWLAND, L.; MEIR, P.; COSTA, A. C. L. da; NINA, A.; SANCHEZ, J. M. B.; TINTAYA, J. S.; CHINO, R. S. C.; BACA, J.; FERNANDES, L.; CUMAPA, E. R. M.; SANTOS, J. A. R.; TEIXEIRA, R.; TELLO, L.; UGARTECHE, M. T. M.; CUELLAR, G. A.; MARTINEZ, F.; ARAUJO-MURAKAMI, A.; ALMEIDA, E.; CRUZ, W. J. A. da; PASQUEL, J. del A.; ARAGÃO, L.; BAKER, T. R.; CAMARGO, P. B. de; BRIENEN, R.; CASTRO, W.; RIBEIRO, S. C.; SOUZA, F. C. de; COSIO, E. G.; CARDOZO, N. D.; SILVA, R. da C.; DISNEY, M.; ESPEJO, J. S.; FELDPAUSCH, T. R.; FERREIRA, L.; GIACOMIN, L.; HIGUCHI, N.; HIROTA, M.; HONORIO, E.; HUASCO, W. H.; LEWIS, S.; FLORES LLAMPAZO, G.; MALHI, Y.; MONTEAGUDO MENDOZA, A.; MORANDI, P.; MOSCOSO, V. C.; MUSCARELLA, R.; PENHA, D.; ROCHA, M. C.; RODRIGUES, G.; RUSCHEL, A. R.; SALINAS, N.; SCHLICKMANN, M.; SILVEIRA, M.; TALBOT, J.; VÁSQUEZ, R.; VEDOVATO, L.; VIEIRA, S. A.; PHILLIPS, O. L.; GLOOR, E.; GALBRAITH, D. R. |
Afiliação: |
JULIA VALENTIM TAVARES, UNIVERSITY OF LEEDS; RAFAEL S. OLIVEIRA, UNIVERSIDADE DE CAMPINAS; MAURIZIO MENCUCCINI, CENTRO DE INVESTIGACIÓN ECOLÓGICA Y APLICACIONES FORESTALES; CAROLINE SIGNORI-MÜLLER, UNIVERSITY OF LEEDS; LUCIANO PEREIRA, UNIVERSIDADE DE CAMPINAS; FRANCISCO CARVALHO DINIZ, UNIVERSITY OF LEEDS; MARTIN GILPIN, UNIVERSITY OF LEEDS; MANUEL J. MARCA ZEVALLOS, UNIVERSIDAD NACIONAL DE SAN ANTONIO ABAD DEL CUSCO; CARLOS A. SALAS YUPAYCCANA, UNIVERSIDAD NACIONAL DE SAN ANTONIO ABAD DEL CUSCO; MARTIN ACOSTA, UNIVERSIDADE FEDERAL DO ACRE; FLOR M. PÉREZ MULLISACA, UNIVERSIDAD NACIONAL DE SAN ANTONIO ABAD DEL CUSCO; FERNANDA DE V. BARROS, UNIVERSITY OF EXETER; PAULO BITTENCOURT, UNIVERSIDADE DE CAMPINAS; HALINA JANCOSKI, UNIVERSIDADE DO ESTADO DE MATO GROSSO; MARINA CORRÊA SCALON, UNIVERSIDADE DO ESTADO DE MATO GROSSO; BEATRIZ S. MARIMON, UNIVERSIDADE DO ESTADO DE MATO GROSSO; IMMA OLIVERAS MENOR, UNIVERSITY OF OXFORD; BEN HUR MARIMON JUNIOR, UNIVERSIDADE DO ESTADO DE MATO GROSSO; MAX FANCOURT, UNIVERSITY OF LEEDS; ALEXANDER CHAMBERS-OSTLER, UNIVERSITY OF LEEDS; ADRIANE ESQUIVEL-MUELBERT, UNIVERSITY OF BIRMINGHAM; LUCY ROWLAND, UNIVERSITY OF EXETER; PATRICK MEIR, UNIVERSITY OF EDINBURGH; ANTONIO CARLOS LOLA DA COSTA, UNIVERSIDADE FEDERAL DO PARÁ; ALEX NINA, PONTIFICIA UNIVERSIDAD CATÓLICA DEL PERÚ; JESUS M. B. SANCHEZ, UNIVERSIDAD NACIONAL DE SAN ANTONIO ABAD DEL CUSCO; JOSE S. TINTAYA, UNIVERSIDAD NACIONAL DE SAN ANTONIO ABAD DEL CUSCO; RUDI S. C. CHINO, PONTIFICIA UNIVERSIDAD CATÓLICA DEL PERÚ; JEAN BACA, UNIVERSIDAD NACIONAL DE LA AMAZONIA PERUANA; LETICIA FERNANDES, UNIVERSIDAD NACIONAL DE SAN ANTONIO ABAD DEL CUSCO; EDWIN R. M. CUMAPA, UNIVERSIDADE FEDERAL DO PARÁ; JOÃO ANTÔNIO R. SANTOS, UNIVERSIDAD NACIONAL DE SAN ANTONIO ABAD DEL CUSCO; RENATA TEIXEIRA, UNIVERSIDAD NACIONAL DE SAN ANTONIO ABAD DEL CUSCO; LIGIA TELLO, UNIVERSIDAD NACIONAL DE LA AMAZONIA PERUANA; MAIRA T. M. UGARTECHE, MUSEO DE HISTORIA NATURAL NOEL KEMPFF MERCADO; GINA A. CUELLAR, MUSEO DE HISTORIA NATURAL NOEL KEMPFF MERCADO; FRANKLIN MARTINEZ, MUSEO DE HISTORIA NATURAL NOEL KEMPFF MERCADO; ALEJANDRO ARAUJO-MURAKAMI, MUSEO DE HISTORIA NATURAL NOEL KEMPFF MERCADO; EVERTON ALMEIDA, UNIVERSIDADE FEDERAL DO OESTE DO PARÁ; WESLEY JONATAR ALVES DA CRUZ, UNIVERSIDADE DO ESTADO DE MATO GROSSO; JHON DEL AGUILA PASQUEL, UNIVERSIDAD NACIONAL DE LA AMAZONIA PERUANA; LUIS ARAGÃO, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; TIMOTHY R. BAKER, UNIVERSITY OF LEEDS; PLINIO BARBOSA DE CAMARGO, UNIVERSIDADE DE SĀO PAULO; ROEL BRIENEN, UNIVERSITY OF LEEDS; WENDESON CASTRO, UNIVERSIDADE FEDERAL DO ACRE; SABINA CERRUTO RIBEIRO, UNIVERSIDADE FEDERAL DO ACRE; FERNANDA COELHO DE SOUZA, UNIVERSIDADE DE BRASÍLIA; ERIC G. COSIO, PONTIFICIA UNIVERSIDAD CATÓLICA DEL PERÚ; NALLARET DAVILA CARDOZO, INSTITUTO DE INVESTIGACIONES DE LA AMAZONIA PERUANA; RICHARLLY DA COSTA SILVA, UNIVERSIDADE FEDERAL DO ACRE; MATHIAS DISNEY, UNIVERSITY COLLEGE LONDON; JAVIER SILVA ESPEJO, UNIVERSIDAD NACIONAL DE SAN ANTONIO ABAD DEL CUSCO; TED R. FELDPAUSCH, UNIVERSITY OF EXETER; LEANDRO FERREIRA, MUSEU PARAENSE EMÍLIO GOELDI; LEANDRO GIACOMIN, UNIVERSIDADE FEDERAL DA PARAÍBA; NIRO HIGUCHI, INSTITUTO NACIONAL DE PESQUISAS DA AMAZÔNIA; MARINA HIROTA, UNIVERSIDADE DE CAMPINAS; EURIDICE HONORIO, INSTITUTO DE INVESTIGACIONES DE LA AMAZONIA PERUANA; WALTER HUARACA HUASCO, UNIVERSITY OF OXFORD; SIMON LEWIS, UNIVERSITY OF LEEDS; GERARDO FLORES LLAMPAZO, INSTITUTO DE INVESTIGACIONES DE LA AMAZONIA PERUANA; YADVINDER MALHI, UNIVERSITY OF OXFORD; ABEL MONTEAGUDO MENDOZA, UNIVERSIDAD NACIONAL DE SAN ANTONIO ABAD DEL CUSCO; PAULO MORANDI, UNIVERSIDADE DO ESTADO DE MATO GROSSO; VICTOR CHAMA MOSCOSO, UNIVERSIDAD NACIONAL DE SAN ANTONIO ABAD DEL CUSCO; ROBERT MUSCARELLA, UPPSALA UNIVERSITY; DELIANE PENHA, UNIVERSIDADE FEDERAL DO OESTE DO PARÁ; MAYDA CECÍLIA ROCHA, UNIVERSIDADE FEDERAL DO OESTE DO PARÁ; GLEICY RODRIGUES, INSTITUTO NACIONAL DE PESQUISAS DA AMAZÔNIA; ADEMIR ROBERTO RUSCHEL, CPATU; NORMA SALINAS, UNIVERSITY OF OXFORD; MONIQUE SCHLICKMANN, UNIVERSIDADE FEDERAL DO OESTE DO PARÁ; MARCOS SILVEIRA, UNIVERSIDADE FEDERAL DO ACRE; JOEY TALBOT, UNIVERSITY OF LEEDS; RODOLFO VÁSQUEZ, JARDÍN BOTÁNICO DE MISSOURI; LAURA VEDOVATO, UNIVERSITY OF EXETER; SIMONE APARECIDA VIEIRA, UNIVERSIDADE ESTADUAL DE CAMPINAS; OLIVER L. PHILLIPS, UNIVERSITY OF LEEDS; EMANUEL GLOOR, UNIVERSITY OF LEEDS; DAVID R. GALBRAITH, UNIVERSITY OF LEEDS. |
Título: |
Basin-wide variation in tree hydraulic safety margins predicts the carbon balance of Amazon forests. |
Ano de publicação: |
2023 |
Fonte/Imprenta: |
Nature, v. 617, p. 111-117, 2023. |
DOI: |
https://doi.org/10.1038/s41586-023-05971-3 |
Idioma: |
Inglês |
Conteúdo: |
Tropical forests face increasing climate risk1,2, yet our ability to predict their response to climate change is limited by poor understanding of their resistance to water stress. Although xylem embolism resistance thresholds (for example, Ψ50) and hydraulic safety margins (for example, HSM50) are important predictors of drought-induced mortality risk3,4,5, little is known about how these vary across Earth?s largest tropical forest. Here, we present a pan-Amazon, fully standardized hydraulic traits dataset and use it to assess regional variation in drought sensitivity and hydraulic trait ability to predict species distributions and long-term forest biomass accumulation. Parameters Ψ50 and HSM50 vary markedly across the Amazon and are related to average long-term rainfall characteristics. Both Ψ50 and HSM50 influence the biogeographical distribution of Amazon tree species. However, HSM50 was the only significant predictor of observed decadal-scale changes in forest biomass. Old-growth forests with wide HSM50 are gaining more biomass than are low HSM50 forests. We propose that this may be associated with a growth?mortality trade-off whereby trees in forests consisting of fast-growing species take greater hydraulic risks and face greater mortality risk. Moreover, in regions of more pronounced climatic change, we find evidence that forests are losing biomass, suggesting that species in these regions may be operating beyond their hydraulic limits. Continued climate change is likely to further reduce HSM50 in the Amazon6,7, with strong implications for the Amazon carbon sink. MenosTropical forests face increasing climate risk1,2, yet our ability to predict their response to climate change is limited by poor understanding of their resistance to water stress. Although xylem embolism resistance thresholds (for example, Ψ50) and hydraulic safety margins (for example, HSM50) are important predictors of drought-induced mortality risk3,4,5, little is known about how these vary across Earth?s largest tropical forest. Here, we present a pan-Amazon, fully standardized hydraulic traits dataset and use it to assess regional variation in drought sensitivity and hydraulic trait ability to predict species distributions and long-term forest biomass accumulation. Parameters Ψ50 and HSM50 vary markedly across the Amazon and are related to average long-term rainfall characteristics. Both Ψ50 and HSM50 influence the biogeographical distribution of Amazon tree species. However, HSM50 was the only significant predictor of observed decadal-scale changes in forest biomass. Old-growth forests with wide HSM50 are gaining more biomass than are low HSM50 forests. We propose that this may be associated with a growth?mortality trade-off whereby trees in forests consisting of fast-growing species take greater hydraulic risks and face greater mortality risk. Moreover, in regions of more pronounced climatic change, we find evidence that forests are losing biomass, suggesting that species in these regions may be operating beyond their hydraulic limits. Continued climate... Mostrar Tudo |
Palavras-Chave: |
Ecofisiologia; Ecologia tropical; Tropical ecology. |
Thesagro: |
Biodiversidade; Ecologia; Ecologia Florestal. |
Thesaurus NAL: |
Biodiversity; Ecophysiology; Forest ecology. |
Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1156907/1/Basin-wide-variation.pdf
|
Marc: |
LEADER 04791naa a2201201 a 4500 001 2156907 005 2023-09-27 008 2023 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1038/s41586-023-05971-3$2DOI 100 1 $aTAVARES, J. V. 245 $aBasin-wide variation in tree hydraulic safety margins predicts the carbon balance of Amazon forests.$h[electronic resource] 260 $c2023 520 $aTropical forests face increasing climate risk1,2, yet our ability to predict their response to climate change is limited by poor understanding of their resistance to water stress. Although xylem embolism resistance thresholds (for example, Ψ50) and hydraulic safety margins (for example, HSM50) are important predictors of drought-induced mortality risk3,4,5, little is known about how these vary across Earth?s largest tropical forest. Here, we present a pan-Amazon, fully standardized hydraulic traits dataset and use it to assess regional variation in drought sensitivity and hydraulic trait ability to predict species distributions and long-term forest biomass accumulation. Parameters Ψ50 and HSM50 vary markedly across the Amazon and are related to average long-term rainfall characteristics. Both Ψ50 and HSM50 influence the biogeographical distribution of Amazon tree species. However, HSM50 was the only significant predictor of observed decadal-scale changes in forest biomass. Old-growth forests with wide HSM50 are gaining more biomass than are low HSM50 forests. We propose that this may be associated with a growth?mortality trade-off whereby trees in forests consisting of fast-growing species take greater hydraulic risks and face greater mortality risk. Moreover, in regions of more pronounced climatic change, we find evidence that forests are losing biomass, suggesting that species in these regions may be operating beyond their hydraulic limits. Continued climate change is likely to further reduce HSM50 in the Amazon6,7, with strong implications for the Amazon carbon sink. 650 $aBiodiversity 650 $aEcophysiology 650 $aForest ecology 650 $aBiodiversidade 650 $aEcologia 650 $aEcologia Florestal 653 $aEcofisiologia 653 $aEcologia tropical 653 $aTropical ecology 700 1 $aOLIVEIRA, R. S. 700 1 $aMENCUCCINI, M. 700 1 $aSIGNORI-MÜLLER , C. 700 1 $aPEREIRA, L. 700 1 $aDINIZ, F. C. 700 1 $aGILPIN, M. 700 1 $aZEVALLOS, M. J. M. 700 1 $aSALAS YUPAYCCANA, C. A. 700 1 $aACOSTA, M. 700 1 $aPÉREZ MULLISACA, F. M. 700 1 $aBARROS, F. de V. 700 1 $aBITTENCOURT, P. 700 1 $aJANCOSKI, H. 700 1 $aSCALON, M. C. 700 1 $aMARIMON, B. S. 700 1 $aMENOR, I. O. 700 1 $aMARIMON JUNIOR, B. H. 700 1 $aFANCOURT, M. 700 1 $aCHAMBERS-OSTLER, A. 700 1 $aESQUIVEL-MUELBERT, A. 700 1 $aROWLAND, L. 700 1 $aMEIR, P. 700 1 $aCOSTA, A. C. L. da 700 1 $aNINA, A. 700 1 $aSANCHEZ, J. M. B. 700 1 $aTINTAYA, J. S. 700 1 $aCHINO, R. S. C. 700 1 $aBACA, J. 700 1 $aFERNANDES, L. 700 1 $aCUMAPA, E. R. M. 700 1 $aSANTOS, J. A. R. 700 1 $aTEIXEIRA, R. 700 1 $aTELLO, L. 700 1 $aUGARTECHE, M. T. M. 700 1 $aCUELLAR, G. A. 700 1 $aMARTINEZ, F. 700 1 $aARAUJO-MURAKAMI, A. 700 1 $aALMEIDA, E. 700 1 $aCRUZ, W. J. A. da 700 1 $aPASQUEL, J. del A. 700 1 $aARAGÃO, L. 700 1 $aBAKER, T. R. 700 1 $aCAMARGO, P. B. de 700 1 $aBRIENEN, R. 700 1 $aCASTRO, W. 700 1 $aRIBEIRO, S. C. 700 1 $aSOUZA, F. C. de 700 1 $aCOSIO, E. G. 700 1 $aCARDOZO, N. D. 700 1 $aSILVA, R. da C. 700 1 $aDISNEY, M. 700 1 $aESPEJO, J. S. 700 1 $aFELDPAUSCH, T. R. 700 1 $aFERREIRA, L. 700 1 $aGIACOMIN, L. 700 1 $aHIGUCHI, N. 700 1 $aHIROTA, M. 700 1 $aHONORIO, E. 700 1 $aHUASCO, W. H. 700 1 $aLEWIS, S. 700 1 $aFLORES LLAMPAZO, G. 700 1 $aMALHI, Y. 700 1 $aMONTEAGUDO MENDOZA, A. 700 1 $aMORANDI, P. 700 1 $aMOSCOSO, V. C. 700 1 $aMUSCARELLA, R. 700 1 $aPENHA, D. 700 1 $aROCHA, M. C. 700 1 $aRODRIGUES, G. 700 1 $aRUSCHEL, A. R. 700 1 $aSALINAS, N. 700 1 $aSCHLICKMANN, M. 700 1 $aSILVEIRA, M. 700 1 $aTALBOT, J. 700 1 $aVÁSQUEZ, R. 700 1 $aVEDOVATO, L. 700 1 $aVIEIRA, S. A. 700 1 $aPHILLIPS, O. L. 700 1 $aGLOOR, E. 700 1 $aGALBRAITH, D. R. 773 $tNature$gv. 617, p. 111-117, 2023.
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