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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
12/07/2023 |
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Actualizado : |
12/07/2023 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
CABOT, M.I.; LADO, J.; BAUTISTA, I.; RIBAL, J.; SANJUÁN, N. |
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Afiliación : |
MARÍA INÉS CABOT, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Grup ASPA, Departament de Tecnologia d’Aliments, Edifici 3F, Universitat Politècnica de València, Camí de Vera S/N, València, 46022, Spain; JOANNA LADO LINDNER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; INMACULADA BAUTISTA, Research Group in Forest Science and Technology (Re-ForeST), Research Institute of Water and Environmental Engineering (IIAMA), Universitat Politècnica de València, Camí de Vera s/n, València, 46022, Spain; JAVIER RIBAL, Departament d’Economia i Ciències Socials, Edifici 3P, Universitat Politècnica de València, Camí de Vera s/n, València, 46022, Spain; NEUS SANJUÁN, Grup ASPA, Departament de Tecnologia d’Aliments, Edifici 3F, Universitat Politècnica de València, Camí de Vera S/N, València, 46022, Spain. |
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Título : |
On the relevance of site specificity and temporal variability in agricultural LCA: a case study on mandarin in North Uruguay. |
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Fecha de publicación : |
2023 |
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Fuente / Imprenta : |
International Journal of Life Cycle Assessment. 2023, https://doi.org/10.1007/s11367-023-02186-6 -- OPEN ACCESS. [Article in Press] |
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DOI : |
10.1007/s11367-023-02186-6 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 29 December 2022; Accepted 15 May 2023; Published 19 June 2023. -- Correspondence author: Cabot, M.I.; Grup ASPA, Departament de Tecnologia d?Aliments, Edifici 3F, Universitat Politècnica de València, Camí de Vera S/N, València, Spain; email:macalu7@upv.edu.es -- Communicated by Sergiy Smetana. -- |
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Contenido : |
Purpose: Mandarin is a relevant citrus crop in Uruguay both in terms of yield and area. This study is aimed at assessing the environmental impacts of mandarin cultivation in the country to identify the environmental hotspots. Temporal variability is assessed by considering six harvest seasons and site specificity by developing a regionalized inventory using a Tier 3 to estimate nitrogen on-field emissions. Also, the effect of regionalizing specific impact categories is analyzed. Methods: A cradle-to-farm gate assessment was carried out based on mass and area functional units. Primary data was gathered from a representative orchard of the region for the seasons 2016 to 2022. Nitrogen on-field emissions were modeled using LEACHN, a Tier 3 model that considers site-specific climatic and soil parameters as well as water and fertilizer applications at a daily scale. In addition, other modeling approaches were tested following the Environmental Product Declarations (EPD), Product Environmental Footprint (PEF), World Food LCA Database guidelines (WFLDB), and the updated IPCC and EMEP/EEA guidelines. The EN 15804 + A2 standard was followed to assess the environmental impacts, except for the categories concerning acidification, where IMPACT 2002 + v2.1 was used. In addition, to analyze the variations in the results when regionalizing impacts of on-field emissions, IMPACT World + was used. Results: The main hotspots detected are on-field emissions, machinery operations, pesticides, and fertilizer production. Irrigation is the main hotspot in blue water scarcity. As for the models tested to estimate nitrogen emissions, significant differences were detected in marine eutrophication between LEACHN and WFLDB, regardless of the functional unit, and in terrestrial acidification, terrestrial eutrophication, and aquatic acidification per ha between LEACHN and PEF. Significant reductions in the results were observed by regionalizing the environmental impacts caused by the on-field emissions. Conclusions: The development of site-specific inventories and impact assessment methods with spatial resolution is encouraged, although more research is needed to draw general conclusions about the convenience of mechanistic models to estimate nitrogen emissions in Uruguayan citriculture. The high variation coefficients obtained reaffirm the importance of considering temporal variability. Moreover, the relevance of considering different functional units is highlighted since different influencing variables are observed throughout the seasons depending on the functional unit used. © 2023, The Author(s). MenosPurpose: Mandarin is a relevant citrus crop in Uruguay both in terms of yield and area. This study is aimed at assessing the environmental impacts of mandarin cultivation in the country to identify the environmental hotspots. Temporal variability is assessed by considering six harvest seasons and site specificity by developing a regionalized inventory using a Tier 3 to estimate nitrogen on-field emissions. Also, the effect of regionalizing specific impact categories is analyzed. Methods: A cradle-to-farm gate assessment was carried out based on mass and area functional units. Primary data was gathered from a representative orchard of the region for the seasons 2016 to 2022. Nitrogen on-field emissions were modeled using LEACHN, a Tier 3 model that considers site-specific climatic and soil parameters as well as water and fertilizer applications at a daily scale. In addition, other modeling approaches were tested following the Environmental Product Declarations (EPD), Product Environmental Footprint (PEF), World Food LCA Database guidelines (WFLDB), and the updated IPCC and EMEP/EEA guidelines. The EN 15804 + A2 standard was followed to assess the environmental impacts, except for the categories concerning acidification, where IMPACT 2002 + v2.1 was used. In addition, to analyze the variations in the results when regionalizing impacts of on-field emissions, IMPACT World + was used. Results: The main hotspots detected are on-field emissions, machinery operations, pesticides, an... Presentar Todo |
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Palabras claves : |
Citrus fruit; Environmental impacts; Inter-seasonal variability; Life cycle assessment; On-field emissions modeling; Regionalized impacts. |
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Asunto categoría : |
-- |
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URL : |
https://link.springer.com/content/pdf/10.1007/s11367-023-02186-6.pdf
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Marc : |
LEADER 03852naa a2200265 a 4500
001 1064250
005 2023-07-12
008 2023 bl uuuu u00u1 u #d
024 7 $a10.1007/s11367-023-02186-6$2DOI
100 1 $aCABOT, M.I.
245 $aOn the relevance of site specificity and temporal variability in agricultural LCA$ba case study on mandarin in North Uruguay.$h[electronic resource]
260 $c2023
500 $aArticle history: Received 29 December 2022; Accepted 15 May 2023; Published 19 June 2023. -- Correspondence author: Cabot, M.I.; Grup ASPA, Departament de Tecnologia d?Aliments, Edifici 3F, Universitat Politècnica de València, Camí de Vera S/N, València, Spain; email:macalu7@upv.edu.es -- Communicated by Sergiy Smetana. --
520 $aPurpose: Mandarin is a relevant citrus crop in Uruguay both in terms of yield and area. This study is aimed at assessing the environmental impacts of mandarin cultivation in the country to identify the environmental hotspots. Temporal variability is assessed by considering six harvest seasons and site specificity by developing a regionalized inventory using a Tier 3 to estimate nitrogen on-field emissions. Also, the effect of regionalizing specific impact categories is analyzed. Methods: A cradle-to-farm gate assessment was carried out based on mass and area functional units. Primary data was gathered from a representative orchard of the region for the seasons 2016 to 2022. Nitrogen on-field emissions were modeled using LEACHN, a Tier 3 model that considers site-specific climatic and soil parameters as well as water and fertilizer applications at a daily scale. In addition, other modeling approaches were tested following the Environmental Product Declarations (EPD), Product Environmental Footprint (PEF), World Food LCA Database guidelines (WFLDB), and the updated IPCC and EMEP/EEA guidelines. The EN 15804 + A2 standard was followed to assess the environmental impacts, except for the categories concerning acidification, where IMPACT 2002 + v2.1 was used. In addition, to analyze the variations in the results when regionalizing impacts of on-field emissions, IMPACT World + was used. Results: The main hotspots detected are on-field emissions, machinery operations, pesticides, and fertilizer production. Irrigation is the main hotspot in blue water scarcity. As for the models tested to estimate nitrogen emissions, significant differences were detected in marine eutrophication between LEACHN and WFLDB, regardless of the functional unit, and in terrestrial acidification, terrestrial eutrophication, and aquatic acidification per ha between LEACHN and PEF. Significant reductions in the results were observed by regionalizing the environmental impacts caused by the on-field emissions. Conclusions: The development of site-specific inventories and impact assessment methods with spatial resolution is encouraged, although more research is needed to draw general conclusions about the convenience of mechanistic models to estimate nitrogen emissions in Uruguayan citriculture. The high variation coefficients obtained reaffirm the importance of considering temporal variability. Moreover, the relevance of considering different functional units is highlighted since different influencing variables are observed throughout the seasons depending on the functional unit used. © 2023, The Author(s).
653 $aCitrus fruit
653 $aEnvironmental impacts
653 $aInter-seasonal variability
653 $aLife cycle assessment
653 $aOn-field emissions modeling
653 $aRegionalized impacts
700 1 $aLADO, J.
700 1 $aBAUTISTA, I.
700 1 $aRIBAL, J.
700 1 $aSANJUÁN, N.
773 $tInternational Journal of Life Cycle Assessment. 2023, https://doi.org/10.1007/s11367-023-02186-6 -- OPEN ACCESS. [Article in Press]
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Registro original : |
INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
19/04/2017 |
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Actualizado : |
09/01/2018 |
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Tipo de producción científica : |
Informes Agroclimáticos |
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Autor : |
GIMÉNEZ, A.; CASTAÑO, J.; CAL, A.; TISCORNIA, G.; SCHIAVI, C.; WADSWORTH, C. |
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Afiliación : |
AGUSTIN EDUARDO GIMÉNEZ FUREST, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JOSE PEDRO CASTAÑO SANCHEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ADRIAN TABARE CAL ALVAREZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GUADALUPE TISCORNIA TOSAR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CARLOS IGNACIO SCHIAVI RAMPELBERG, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CRISTINE WADSWORTH, INIA (Instituto Nacional de Investigación Agropecuaria). |
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Título : |
Informe agroclimático 2017 - Situación a Marzo. |
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Fecha de publicación : |
2017 |
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Fuente / Imprenta : |
Montevideo (Uruguay): INIA, 2017. |
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Páginas : |
4 p. |
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Idioma : |
Español |
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Palabras claves : |
AGROCLIMA; AGROCLIMATOLOGÍA; BOLETIN AGROCLIMÁTICO; CARACTERIZACIÓN AGROCLIMÁTICA; DIRECCION VIENTO; ESTACIONES AGROMETEOROLOGICAS; ESTACIONES AUTOMATICAS; ESTACIONES INIA; ESTADO DEL TIEMPO; ESTRÉS HÍDRICO; GRAFICAS AGROCLIMATICOS; GRAS; HELIOFANOGRAFO; INFORMACION SATELITAL; INFORME AGROCLIMÁTICO 2017; INUNDACIONES; LLUVIAS DIARIAS; MAXIMA; MEDIA; MINIMA; PANEL SOLAR; PERSPECTIVAS CLIMATICAS; PLUVIOMETRO; PRECIPITACION NACIONAL; PREVENCION HELADAS; PRONOSTICO; SENSOR; SIMETRICO; TANQUE A; TERMOCUPLAS; TERMOHIDROGRAFO; VARIABLES AGROCLIMATICAS; VELETA. |
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Thesagro : |
AGROCLIMATOLOGIA; CAMBIO CLIMATICO; CLIMA; CLIMATOLOGIA; ESTACIONES METEOROLOGICAS; ESTRES HIDRICO; EVAPORACION; EVAPOTRANSPIRACION; HUMEDAD; HUMEDAD RELATIVA; LLUVIA; METEOROLOGIA; PERSPECTIVAS; PLUVIOMETROS; PRONOSTICO DEL TIEMPO; SENSORES; SISTEMAS; SISTEMAS DE INFORMACION; SUELO; TEMPERATURA; TERMOMETROS. |
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Asunto categoría : |
-- |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/6712/1/Informe-agroclimatico-INIA-GRAS-Marzo-de-2017.pdf
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Marc : |
LEADER 02139nam a2200817 a 4500
001 1057103
005 2018-01-09
008 2017 bl uuuu u0uu1 u #d
100 1 $aGIMÉNEZ, A.
245 $aInforme agroclimático 2017 - Situación a Marzo.$h[electronic resource]
260 $aMontevideo (Uruguay): INIA$c2017
300 $a4 p.
650 $aAGROCLIMATOLOGIA
650 $aCAMBIO CLIMATICO
650 $aCLIMA
650 $aCLIMATOLOGIA
650 $aESTACIONES METEOROLOGICAS
650 $aESTRES HIDRICO
650 $aEVAPORACION
650 $aEVAPOTRANSPIRACION
650 $aHUMEDAD
650 $aHUMEDAD RELATIVA
650 $aLLUVIA
650 $aMETEOROLOGIA
650 $aPERSPECTIVAS
650 $aPLUVIOMETROS
650 $aPRONOSTICO DEL TIEMPO
650 $aSENSORES
650 $aSISTEMAS
650 $aSISTEMAS DE INFORMACION
650 $aSUELO
650 $aTEMPERATURA
650 $aTERMOMETROS
653 $aAGROCLIMA
653 $aAGROCLIMATOLOGÍA
653 $aBOLETIN AGROCLIMÁTICO
653 $aCARACTERIZACIÓN AGROCLIMÁTICA
653 $aDIRECCION VIENTO
653 $aESTACIONES AGROMETEOROLOGICAS
653 $aESTACIONES AUTOMATICAS
653 $aESTACIONES INIA
653 $aESTADO DEL TIEMPO
653 $aESTRÉS HÍDRICO
653 $aGRAFICAS AGROCLIMATICOS
653 $aGRAS
653 $aHELIOFANOGRAFO
653 $aINFORMACION SATELITAL
653 $aINFORME AGROCLIMÁTICO 2017
653 $aINUNDACIONES
653 $aLLUVIAS DIARIAS
653 $aMAXIMA
653 $aMEDIA
653 $aMINIMA
653 $aPANEL SOLAR
653 $aPERSPECTIVAS CLIMATICAS
653 $aPLUVIOMETRO
653 $aPRECIPITACION NACIONAL
653 $aPREVENCION HELADAS
653 $aPRONOSTICO
653 $aSENSOR
653 $aSIMETRICO
653 $aTANQUE A
653 $aTERMOCUPLAS
653 $aTERMOHIDROGRAFO
653 $aVARIABLES AGROCLIMATICAS
653 $aVELETA
700 1 $aCASTAÑO, J.
700 1 $aCAL, A.
700 1 $aTISCORNIA, G.
700 1 $aSCHIAVI, C.
700 1 $aWADSWORTH, C.
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