Are advantages from partial replacement of corn with second generation energy crops undermined by climate change? A case study for giant reed in Northern Italy


2015 - Biomass & Bioenergy, 80, 85-93
Cappelli, G., Yamaç, S.S., Stella, T., Francone, C., Paleari, L., Negri, M., Confalonieri, R.

Abstract:

Among non-food energy crops, giant reed (Arundo donax L.) represents a promising opportunity to reduce the fossil fuel dependency in Mediterranean countries. Nevertheless, the response of this crop under future climate projections is an open issue, despite the crucial implications for mid-term planning policies. In this study, we present an exploratory analysis of the climate change impact on giant reed productivity in the Lombardy plain (northern Italy), an area currently characterized by intensive fodder maize-based cropping systems, but where corn is expected to be negatively affected by projected changes in thermal and pluviometric regimes. A dedicated simulation environment was developed, by coupling Arungro, a process-based model specific for giant reed, to a database including information on presence of biogas plants, land use, crop management and distribution, and weather scenarios for current climate and future projections. Baseline climate (1975-1994) was obtained from the European Commission MARS database, whereas the Hadley3 and NCAR realizations of the IPCC AR4 emission scenarios A1B and B1 were used to generate 20-year climate projections centred on 2020 and 2050. Spatially distributed simulations were run at sub-regional scale in areas selected according to their attractiveness for investments and low risk of competition between feed and no-feed crop destinations. Results indicate that an increased local suitability of giant reed under future climate projections is expected in terms of biomass production (+20% in 2020 for all scenarios, +30% in 2050 for Hadley-A1B) and of the economic and environmental sustainability of related cropping systems.


Keywords: Arundo donax L., Arungro, biogas plant, crop model, renewable energy, Zea mais L.
DOI: DOI: 10.1016/j.biombioe.2015.04.038

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