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resumen

Resumen
Climate change and energy security promote using renewable sources of energy such as biofuels. High woody biomass production achieved from short-rotation intensive plantations is a strategy that is increasing in many parts of the world. However, broad expansion of bioenergy feedstock production may have significant environmental consequences. This study investigates the watershed-scale hydrological impacts of Eucalyptus (E. grandis) plantations for energy [ver mas...]
dc.contributor.authorHeidari, Azad
dc.contributor.authorWatkins Jr, David
dc.contributor.authorMayer, Alex
dc.contributor.authorPropato, Tamara Sofia
dc.contributor.authorVeron, Santiago Ramón
dc.contributor.authorDe Abelleyra, Diego
dc.date.accessioned2022-10-20T10:23:53Z
dc.date.available2022-10-20T10:23:53Z
dc.date.issued2021-01-11
dc.identifier.issn1757-1707
dc.identifier.otherhttps://doi.org/10.1111/gcbb.12815
dc.identifier.urihttp://hdl.handle.net/20.500.12123/13162
dc.identifier.urihttps://onlinelibrary.wiley.com/doi/full/10.1111/gcbb.12815
dc.description.abstractClimate change and energy security promote using renewable sources of energy such as biofuels. High woody biomass production achieved from short-rotation intensive plantations is a strategy that is increasing in many parts of the world. However, broad expansion of bioenergy feedstock production may have significant environmental consequences. This study investigates the watershed-scale hydrological impacts of Eucalyptus (E. grandis) plantations for energy production in a humid subtropical watershed in Entre Rios province, Argentina. A Soil and Water Assessment Tool (SWAT) model was calibrated and validated for streamflow, leaf area index (LAI), and biomass production cycles. The model was used to simulate various Eucalyptus plantation scenarios that followed physically based rules for land use conversion (in various extents and locations in the watershed) to study hydrological effects, biomass production, and the green water footprint of energy production. SWAT simulations indicated that the most limiting factor for plant growth was shallow soils causing sea sonal water stress. This resulted in a wide range of biomass productivity throughout the watershed. An optimization algorithm was developed to find the best location for Eucalyptus development regarding highest productivity with least water impact. E. grandis plantations had higher evapotranspiration rates compared to existing terres trial land cover classes; therefore, intensive land use conversion to E. grandis caused a decline in streamflow, with January through March being the most affected months. October was the least-affected month hydrologically, since high rainfall rates over came the canopy interception and higher ET rates of E. grandis in this month. Results indicate that, on average, producing 1 kg of biomass in this region uses 0.8 m3 of water, and the green water footprint of producing 1 m3 fuel is approximately 2150 m3 water, or 57 m3 water per GJ of energy, which is lower than reported values for wood based ethanol, sugar cane ethanol, and soybean biodiesel.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherWileyes_AR
dc.rightsinfo:eu-repo/semantics/openAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.sourceGCB Bioenergy 13 (5) : 823-837 (May 2021)es_AR
dc.subjectBioenergyeng
dc.subjectBioenergíaes_AR
dc.subjectDevelopmenteng
dc.subjectDesarrolloes_AR
dc.subjectLand Use Changeeng
dc.subjectCambio de Uso de la Tierraes_AR
dc.subjectWater Footprinteng
dc.subjectHuella de Aguaes_AR
dc.subjectWatershedseng
dc.subjectCuencas Hidrográficases_AR
dc.subjectModellingeng
dc.subjectModelizaciónes_AR
dc.subjectEucalyptus
dc.subject.otherCultivation Practiceseng
dc.subject.otherPrácticas de Cultivoes_AR
dc.subject.otherEnergy Water Nexuseng
dc.subject.otherNexo Agua Energíaes_AR
dc.subject.otherEntre Ríos, Argentina
dc.titleSpatially variable hidrologic impact and biomass production tradeoffs associated with Eucaliptus ( E. Grandis) cultivation for biofuel production in Entre Ríos, Argentinaes_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.description.filFil: Heidari, Azad. Michigan Technological University. Department of Civil and Environmental Engineering; Estados Unidoses_AR
dc.description.filFil: Watkins Jr, David. Michigan Technological University. Department of Civil and Environmental Engineering; Estados Unidoses_AR
dc.description.filFil: Mayer, Alex. Michigan Technological University. Department of Civil and Environmental Engineering; Estados Unidoses_AR
dc.description.filFil: Propato, Tamara Sofía. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina. Universidad de Buenos Aires. Facultad de Agronomía; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Verón, Santiago. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina. Universidad de Buenos Aires. Facultad de Agronomía; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: de Abelleyra, Diego. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentinaes_AR
dc.subtypecientifico


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