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Mais für Ethanol-Produktion: Regionalisierung von Klimaszenarien Einfluss, N-Nutzungseffizienz und Wirksamkeit von Anpassungsstrategien.

Lana, Marcos, Alberto und Eulenstein, Frank und Schlindwein, Sandro L. und Tauschke, Marion und Guevara, Edgardo und Santiago , Santiago (2013) Mais für Ethanol-Produktion: Regionalisierung von Klimaszenarien Einfluss, N-Nutzungseffizienz und Wirksamkeit von Anpassungsstrategien. In: Jahrestagung der DBG 2013: Böden - Lebensgrundlage und Verantwortung, 07.-12.09.2013, Rostock.

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Kurzfassung

Maize, besides a source of food, is also a source of energy. As any other crop, maize yield – and therefore the ethanol produced – is a response to environmental factors such as soil, weather and management. In a context of climate change, understanding responses is crucial to determine mitigation and adaptation strategies. Crop models are an effective tool to address this. The objective is to present a procedure to assess the impacts of climate scenarios on N use efficiency, yield, so as the effect of crop variety (n=2) and planting date (n=5) as adaptation strategy. The study region is Santa Catarina State, Brazil, where maize is cultivated in more than 800000 ha (average yield: 4,63 ton ha-1). Besides not yet expressive in the region, there is a growing tendency for using maize as biofuel source. Allocation of crop land was done using satellite data, allowing the coupling of weather and 253 complete soil profiles in single polygons (n=4135). DSSAT crop model was calibrated and validated using field data (2004-2010 observations). Weather scenarios generated by RCMs were selected according capability of reproducing observed weather. Simulations run for the 2012-2040 period (437 ppm of [CO2]) without adaptation strategies showed reductions of 12.5% in maize total production. By only using the best maize variety for each polygon (soil + weather), total production was increased by 6%; when using both adaptation strategies – variety and best planting date – total production was increase by 15%. The modeling process indicates N use efficiency increment ranged from 1 – 3% (mostly due [CO2] increment, but also due soil properties and leaching). This analysis showed that N use efficiency rises in high [CO2] scenarios, so as that crop variety and planting date are effective tools to mitigate deleterious effects of climate change, supporting energy crops in the study region.

Eintragstyp: Konferenz- oder Workshop-Beitrag ("Berichte der DBG")
Stichwörter: Climate change, crop model, efficiency use
Bereiche: Kommissionen > Kommission VI: Bodenschutz und Bodentechnologie
Benutzer: Frank Eulenstein
Hinterlegungsdatum: 02 Nov 2013 12:57
Letzte Änderung: 02 Nov 2013 12:57
URI: https://eprints.dbges.de/id/eprint/1000

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