2 resultados para AGRICULTURAL PRODUCTIVITY

em Aston University Research Archive


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This research investigates the contribution that Geographic Information Systems (GIS) can make to the land suitability process used to determine the effects of a climate change scenario. The research is intended to redress the severe under representation of Developing countries within the literature examining the impacts of climatic change upon crop productivity. The methodology adopts some of the Intergovernmental Panel on Climate Change (IPCC) estimates for regional climate variations, based upon General Circulation Model predictions (GCMs) and applies them to a baseline climate for Bangladesh. Utilising the United Nations Food & Agricultural Organisation's Agro-ecological Zones land suitability methodology and crop yield model, the effects of the scenario upon agricultural productivity on 14 crops are determined. A Geographic Information System (IDRISI) is adopted in order to facilitate the methodology, in conjunction with a specially designed spreadsheet, used to determine the yield and suitability rating for each crop. A simple optimisation routine using the GIS is incorporated to provide an indication of the 'maximum theoretical' yield available to the country, should the most calorifically significant crops be cultivated on each land unit both before and after the climate change scenario. This routine will provide an estimate of the theoretical population supporting capacity of the country, both now and in the future, to assist with planning strategies and research. The research evaluates the utility of this alternative GIS based methodology for the land evaluation process and determines the relative changes in crop yields that may result from changes in temperature, photosynthesis and flooding hazard frequency. In summary, the combination of a GIS and a spreadsheet was successful, the yield prediction model indicates that the application of the climate change scenario will have a deleterious effect upon the yields of the study crops. Any yield reductions will have severe implications for agricultural practices. The optimisation routine suggests that the 'theoretical maximum' population supporting capacity is well in excess of current and future population figures. If this agricultural potential could be realised however, it may provide some amelioration from the effects of climate change.

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Biorefineries are expected to play a major role in a future low carbon economy and substantial investments are being made to support this vision. However, it is important to consider the wider socio-economic impacts of such a transition. This paper quantifies the potential trade, employment and land impacts of economically viable European biorefinery options based on indigenous straw and wood feedstocks. It illustrates how there could be potential for 70-80 European biorefineries, but not hundreds. A single facility could generate tens of thousands of man-years of employment and employment creation per unit of feedstock is higher than for biomass power plants. However, contribution to national GDP is unlikely to exceed 1% in European member states, although contributions to national agricultural productivity may be more significant, particularly with straw feedstocks. There is also a risk that biorefinery development could result in reduced rates of straw incorporation into soil, raising concerns that economically rational decisions to sell rather than reincorporate straw could result in increased agricultural land-use or greenhouse gas emissions. © 2013.