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Energies 2015, 8(11), 13284-13307; doi:10.3390/en81112369

Bioenergy and Food Supply: A Spatial-Agent Dynamic Model of Agricultural Land Use for Jiangsu Province in China

1
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
2
University of Chinese Academy of Sciences, Beijing 100049, China
3
Research Group Climate Change and Security, Institute of Geography, Center for Earth System Research and Sustainability, University of Hamburg, Hamburg 20144, Germany
4
Research Unit Sustainability and Global Change, Center for Earth System Research and Sustainability, University of Hamburg, Hamburg 20144, Germany
*
Author to whom correspondence should be addressed.
Academic Editor: Tariq Al-Shemmeri
Received: 31 July 2015 / Revised: 23 October 2015 / Accepted: 10 November 2015 / Published: 24 November 2015
(This article belongs to the Special Issue Advances in Biomass for Energy Technology)
View Full-Text   |   Download PDF [3759 KB, uploaded 25 November 2015]   |  

Abstract

In this paper we develop an agent-based model to explore a feasible way of simultaneously providing sufficient food and bioenergy feedstocks in China. Concerns over the competition for agricultural land resources between food and bioenergy supply hinder the further development of bioenergy, especially in China, the country that needs to feed the world’s largest population. Prior research has suggested the introduction of energy crops and reviewed the resulting agricultural land use change in China. However, there is a lack of quantitative studies which estimate the value, contribution, and impact of bioenergy for specific conditions at the county level and provide adequate information to guide local practices. To fill this gap, we choose the Jiangsu Province in China as a case study, build up a spatial-agent dynamic model of agricultural land use, and perform a sensitivity analysis for important parameters. The simulation results show that straw from conventional crops generally dominates Jiangsu’s biomass supply with a contribution above 85%. The sensitivity analyses reveal severe consequences of bioenergy targets for local land use. For Jiangsu Province, reclaimed mudflats, an alternative to arable lands for energy crop plantation, help to secure the local biomass supply and to alleviate the land use conflict between food and biomass production. View Full-Text
Keywords: bioenergy supply; agent-based model; land use; general algebraic modeling system (GAMS); China bioenergy supply; agent-based model; land use; general algebraic modeling system (GAMS); China
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Shu, K.; Schneider, U.A.; Scheffran, J. Bioenergy and Food Supply: A Spatial-Agent Dynamic Model of Agricultural Land Use for Jiangsu Province in China. Energies 2015, 8, 13284-13307.

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