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| Registros recuperados : 20 | |
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| 19. | | ANGELINI, M. E.; FONTANA, A.; LANDI, A.; MERMUT, A. R.; MOREIRA, A. L.; LOPATKA, A.; LABAZ, B.; IRINA, B.; VANDENBYGAART, B.; OLGA, B.; PÁLKA, B.; SMRECZAK, B.; CLERICI, C.; PINHEIRO JÚNIOR, C. R.; FERGUSON, C.; OLGA, C.; VAN HUYSSTEEN, C. W.; MONGER, C.; WEI, D.; RODRÍGUEZ, D. M.; LINDBO, D.; NURSYAMSI, D.; CAHYANA, D.; BEAUDETTE, D.; NUREMBERG, E.; LIU, F.; FONTES, F.; OLIVEIRA, F. P. de; ZHANG, G.; OLEG, G.; PEREIRA, G.; SCHULZ, G.; VASQUES, G. M.; IAAICH, H.; MORRÁS, H. J. M.; HUSEIN, H. H.; GUTIÉRREZ DÍAZ, J. S.; IVELIC-SÁEZ, J.; KOBZA, J.; FUENTE, J. C. de la; HE, J.; NIKOLAI, K.; RODRÍGUEZ JIMÉNEZ, L. M.; WANG, L.; TENTI VUEGEN, L.; JIN, L.; MORETTI, L. M.; ANJOS, L. H. C. dos; SANTOS, L. A. C. dos; PFEIFFER, M.; PEREIRA, M. G.; GUEVARA SANTAMARIA, M.; BOLAÑOS-BENAVIDES, M.; DELL'ACQUA, M.; SAKSA, M.; COELHO, M. R.; CAMPOS, M. C. C.; NEVENA, M.; ORDOÑEZ DELGADO, N.; BATKHISHIG, O.; SERRATO ALCAREZ, P. K.; MOUSSSADEK, R.; DART, R. de O.; DALMOLIN, R. S. D.; OROZAKUNOVA, R.; RADIC, S.; TOMA, S.; WILLS, S. A.; ROECKER, S.; VALLE, S.; KIENAST-BROWN, S.; NAKISKO, S.; KUYPER, T. W.; SOLOVEI, V.; IVAN, V.; CHERLINKA, V.; MORA, V. R. de la; LEBED, V.; CARDONA, W. A.; GENG, X.; LI, Y.; ZHANG, Y.; SULAEMAN, Y.; ZALAVSKYI, Y.; YIGINI, Y.; TAKATA, Y.; SUN, Z. Global distribution and characteristics of black soils. In: FAO. Global status of black soils. Rome, 2022. cap. 2, p. 14-69.| Biblioteca(s): Embrapa Solos. |
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| 20. | | KUHN, J. H.; ABE, J.; ADKINS, S.; ALKHOVSKY, S. V.; AVSIC-ZUPANC, T.; AYLLÓN, M. A.; BAHL, J.; BALKEMA-BUSCHMANN, A.; BALLINGER, M. J.; BARANWAL, V. K.; BEER, M.; BEJERMAN, N.; BERGERON, É.; BIEDENKOPF, N.; BLAIR, C. D.; BLASDELL, K. R.; BLOUIN, A. G.; BRADFUTE, S. B.; BRIESE, T.; BROWN, P. A.; BUCHHOLZ, U. J.; BUCHMEIER, M. J.; BUKREYEV, A.; BURT, F.; BÜTTNER, C.; CALISHER, C. H.; CAO, M.; CASAS, I.; CHANDRAN, K.; CHARREL, R. N.; CHATURVEDI, K. K.; CHOOI, K. M.; CRANE, A.; BÓ, E. D.; TORRE, J. C. de L.; SOUZA, W. M. de; SWART, R. L. de; DEBAT, H.; DHEILLY, N. M.; PAOLA, N. D.; SERIO, F. D.; DIETZGEN, R. G.; DIGIARO, M.; DREXLER, J. F.; DUPREX, W. P.; DÜRRWALD, R.; EASTON, A. J.; ELBEAINO, T.; ERGÜNAY, K.; FENG, G.; FIRTH, A. E.; FOOKS, A. R.; FORMENTY, P. B. H.; FREITAS-ASTÚA, J.; GAGO-ZACHERT, S.; GARCÍA, M. L.; GARCÍA-SASTRE, A.; GARRISON, A. R.; GASKIN, T. R.; GONG, W.; GONZALEZ, J. J.; BELLOCQ, J. de; GRIFFITHS, A.; GROSCHUP, M. H.; GÜNTHER, I.; GÜNTHER, S.; HAMMOND, J.; HASEGAWA, Y.; HAYASHI, K.; HEPOJOKI, J.; HIGGINS, C. M.; HONGO, S.; HORIE, M.; HUGHES, H. R.; HUME, A. J.; HYNDMAN, T. H.; IKEDA, K.; JIANG, D.; JONSON, G. B.; JUNGLEN, S.; KLEMPA, B.; KLINGSTRÖM, J.; KONDO, H.; KOONIN, E. V.; KRUPOVIC, M.; KUBOTA, K.; KURATH, G.; LAENEN, L.; LAMBERT, A. J.; LI, J.; LI, J.; LIU, R.; LUKASHEVICH, I. S.; MACDIARMID, R. M.; MAES, P.; MARKLEWITZ, M.; MARSHALL, S. H.; MARZANO, S. L.; MCCAULEY, J. W.; MIRAZIMI, A.; MÜHLBERGER, E.; NABESHIMA, T.; NAIDU, R.; NATSUAKI, T.; NAVARRO, B.; JOSÉ; NERIYA, Y.; NETESOV, S. V.; NEUMANN, G.; NOWOTNY, N.; NUNES, M. R. T.; OCHOA-CORONA, F. M.; OKADA, T.; PALACIOS, G.; PALLÁS, V.; PAPA, A.; PARASKEVOPOULOU, S.; PARRISH, C. R.; PAUVOLID-CORRÊA, A.; PAWESKA, J. T.; PÉREZ, D. R.; PFAFF, F.; PLEMPER, R. K.; POSTLER, T. S.; RABBIDGE, L. O.; RADOSHITZKY, S. R.; RAMOS-GONZÁLEZ, P. L.; REHANEK, M.; RESENDE, R. O.; REYES, C. A.; RODRIGUES, T. C. S.; ROMANOWSKI, V.; RUBBENSTROTH, D.; RUBINO, L.; RUNSTADLER, J. A.; SABANADZOVIC, S.; SADIQ, S.; SALVATO, M. S.; SASAYA, T.; SCHWEMMLE, M.; SHARPE, S. R.; SHI, M.; SHIMOMOTO, Y.; SIDHARTHAN, V. K.; SIRONI, M.; SMITHER, S.; SONG, J.; SPANN, K. M.; SPENGLER, J. R.; STENGLEIN, M. D.; TAKADA, A.; TAKEYAMA, S.; TATARA, A.; TESH, R. B.; THORNBURG, N. J.; TIAN, X.; TISCHLER, N. D.; TOMITAKA, Y.; TOMONAGA, K.; TORDO, N.; TU, C.; TURINA, M.; TZANETAKIS, I. E.; VAIRA, A. M.; HOOGEN, B. V. D.; VANMECHELEN, B.; VASILAKIS, N.; VERBEEK, M.; BARGEN, S. V.; WADA, J.; WAHL, V.; WALKER, P. J.; WALTZEK, T. B.; WHITFIELD, A. E.; WOLF, Y. I.; XIA, H.; XYLOGIANNI, E.; YANAGISAWA, H.; YANO, K.; YE, G.; YUAN, Z.; ZERBINI, F. M.; ZHANG, G.; ZHANG, S.; ZHANG, Y.; ZHAO, L.; OKLAND, A. L. Annual (2023) taxonomic update of RNA-directed RNA polymerase-encoding negative-sense RNA viruses (realm Riboviria: kingdom Orthornavirae: phylum Negarnaviricota). Journal of General Virology, v. 104, n. 8, 2023., Microbiology Society, 2023.| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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Registro Completo
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
01/09/2016 |
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Data da última atualização: |
24/05/2022 |
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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: |
AYALA, L. M.; EUPEN, M. van; ZHANG, G.; PÉREZ-SOBA, M.; MARTORANO, L. G.; LISBOA, L. S.; BELTRÃO, N. E. |
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Afiliação: |
Laura Miguel Ayala, Alterra Wageningen University and Research Centre Alterra Wageningen University and Research; Michiel van Eupen, Alterra Wageningen University and Research Centre Alterra Wageningen University and Research; Guoping Zhang, Water Footprint Network, International Water House; Marta Pérez-Soba, Alterra Wageningen University and Research Centre Alterra Wageningen University and Research; LUCIETA GUERREIRO MARTORANO, CPATU; Leila S. Lisboa, ESALQ/USP; Norma E. Beltrão, UEPA. |
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Título: |
Impact of agricultural expansion on water footprint in the Amazon under climate change scenarios. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Science of the Total Environment, v. 569/570, p. 1159-1173, Nov. 2016. |
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DOI: |
http://dx.doi.org.ez103.periodicos.capes.gov.br/10.1016/j.scitotenv.2016.06.191 |
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Idioma: |
Inglês |
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Conteúdo: |
Agricultural expansion and intensification are main drivers of land-use change in Brazil. Soybean is the major crop under expansion in the area. Soybean production involves large amounts of water and fertiliser that act as sources of contamination with potentially negative impacts on adjacent water bodies. These impacts might be intensified by projected climate change in tropical areas. A Water Footprint Assessment (WFA) serves as a tool to assess environmental impacts of water and fertiliser use. The aim of this study was to understand potential impacts on environmental sustainability of agricultural intensification close to a protected forest area of the Amazon under climate change. We carried out a WFA to calculate the water footprint (WF) related to soybean production, Glycine max, to understand the sustainability of the WF in the Tapajós river basin, a region in the Brazilian Amazon with large expansion and intensification of soybean. Based on global datasets, environmental hotspots ? potentially unsustainable WF areas ? were identified and spatially plotted in both baseline scenario (2010) and projection into 2050 through the use of a land-use change scenario that includes climate change effects. Results show green and grey WF values in 2050 increased by 304% and 268%, respectively. More than one-third of the watersheds doubled their grey WF in 2050. Soybean production in 2010 lies within sustainability limits. However, current soybean expansion and intensification trends lead to large impacts in relation to water pollution and water use, affecting protected areas. Areas not impacted in terms of water pollution dropped by 20.6% in 2050 for the whole catchment, while unsustainability increased 8.1%. Management practices such as water consumption regulations to stimulate efficient water use, reduction of crop water use and evapotranspiration, and optimal fertiliser application control could be key factors in achieving sustainability within a river basin. MenosAgricultural expansion and intensification are main drivers of land-use change in Brazil. Soybean is the major crop under expansion in the area. Soybean production involves large amounts of water and fertiliser that act as sources of contamination with potentially negative impacts on adjacent water bodies. These impacts might be intensified by projected climate change in tropical areas. A Water Footprint Assessment (WFA) serves as a tool to assess environmental impacts of water and fertiliser use. The aim of this study was to understand potential impacts on environmental sustainability of agricultural intensification close to a protected forest area of the Amazon under climate change. We carried out a WFA to calculate the water footprint (WF) related to soybean production, Glycine max, to understand the sustainability of the WF in the Tapajós river basin, a region in the Brazilian Amazon with large expansion and intensification of soybean. Based on global datasets, environmental hotspots ? potentially unsustainable WF areas ? were identified and spatially plotted in both baseline scenario (2010) and projection into 2050 through the use of a land-use change scenario that includes climate change effects. Results show green and grey WF values in 2050 increased by 304% and 268%, respectively. More than one-third of the watersheds doubled their grey WF in 2050. Soybean production in 2010 lies within sustainability limits. However, current soybean expansion and intensification tre... Mostrar Tudo |
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Palavras-Chave: |
Sustentabilidade; Uso da água. |
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Thesagro: |
Produção; Soja. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
LEADER 02800naa a2200253 a 4500
001 2052204
005 2022-05-24
008 2016 bl uuuu u00u1 u #d
024 7 $ahttp://dx.doi.org.ez103.periodicos.capes.gov.br/10.1016/j.scitotenv.2016.06.191$2DOI
100 1 $aAYALA, L. M.
245 $aImpact of agricultural expansion on water footprint in the Amazon under climate change scenarios.$h[electronic resource]
260 $c2016
520 $aAgricultural expansion and intensification are main drivers of land-use change in Brazil. Soybean is the major crop under expansion in the area. Soybean production involves large amounts of water and fertiliser that act as sources of contamination with potentially negative impacts on adjacent water bodies. These impacts might be intensified by projected climate change in tropical areas. A Water Footprint Assessment (WFA) serves as a tool to assess environmental impacts of water and fertiliser use. The aim of this study was to understand potential impacts on environmental sustainability of agricultural intensification close to a protected forest area of the Amazon under climate change. We carried out a WFA to calculate the water footprint (WF) related to soybean production, Glycine max, to understand the sustainability of the WF in the Tapajós river basin, a region in the Brazilian Amazon with large expansion and intensification of soybean. Based on global datasets, environmental hotspots ? potentially unsustainable WF areas ? were identified and spatially plotted in both baseline scenario (2010) and projection into 2050 through the use of a land-use change scenario that includes climate change effects. Results show green and grey WF values in 2050 increased by 304% and 268%, respectively. More than one-third of the watersheds doubled their grey WF in 2050. Soybean production in 2010 lies within sustainability limits. However, current soybean expansion and intensification trends lead to large impacts in relation to water pollution and water use, affecting protected areas. Areas not impacted in terms of water pollution dropped by 20.6% in 2050 for the whole catchment, while unsustainability increased 8.1%. Management practices such as water consumption regulations to stimulate efficient water use, reduction of crop water use and evapotranspiration, and optimal fertiliser application control could be key factors in achieving sustainability within a river basin.
650 $aProdução
650 $aSoja
653 $aSustentabilidade
653 $aUso da água
700 1 $aEUPEN, M. van
700 1 $aZHANG, G.
700 1 $aPÉREZ-SOBA, M.
700 1 $aMARTORANO, L. G.
700 1 $aLISBOA, L. S.
700 1 $aBELTRÃO, N. E.
773 $tScience of the Total Environment$gv. 569/570, p. 1159-1173, Nov. 2016.
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