dc.creatorHeidari, Azad
dc.creatorWatkins Jr, David
dc.creatorMayer, Alex
dc.creatorPropato, Tamara Sofia
dc.creatorVeron, Santiago Ramón
dc.creatorDe Abelleyra, Diego
dc.date.accessioned2022-10-20T10:23:53Z
dc.date.accessioned2023-03-15T14:18:20Z
dc.date.available2022-10-20T10:23:53Z
dc.date.available2023-03-15T14:18:20Z
dc.date.created2022-10-20T10:23:53Z
dc.date.issued2021-01-11
dc.identifier1757-1707
dc.identifierhttps://doi.org/10.1111/gcbb.12815
dc.identifierhttp://hdl.handle.net/20.500.12123/13162
dc.identifierhttps://onlinelibrary.wiley.com/doi/full/10.1111/gcbb.12815
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/6216087
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.
dc.languageeng
dc.publisherWiley
dc.rightsinfo:eu-repo/semantics/openAccess
dc.sourceGCB Bioenergy 13 (5) : 823-837 (May 2021)
dc.subjectBioenergy
dc.subjectDevelopment
dc.subjectLand Use Change
dc.subjectWater Footprint
dc.subjectWatersheds
dc.subjectModelling
dc.subjectBioenergía
dc.subjectDesarrollo
dc.subjectCambio de Uso de la Tierra
dc.subjectHuella de Agua
dc.subjectCuencas Hidrográficas
dc.subjectModelización
dc.subjectEucalyptus
dc.titleSpatially variable hidrologic impact and biomass production tradeoffs associated with Eucaliptus ( E. Grandis) cultivation for biofuel production in Entre Ríos, Argentina
dc.typeinfo:ar-repo/semantics/artículo
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


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