Browsing by Author "Quinn, Claire Helen"
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Item Open Access Using scenarios to explore UK upland futures(Elsevier, 2009-11) Reed, M. S.; Arblaster, K.; Bullock, C.; Burton, R. J. F.; Davies, A. L.; Holden, J.; Hubacek, K.; May, R.; Mitchley, J.; Morris, Joe; Nainggolan, D.; Potter, C.; Quinn, Claire Helen; Swales, V.; Thorp, S.Uplands around the world are facing significant social, economic and environmental changes, and decision-makers need to better understand what the future may hold if they are to adapt and maintain upland goods and services. This paper draws together all major research comprising eight studies that have used scenarios to describe possible futures for UK uplands. The paper evaluates which scenarios are perceived by stakeholders to be most likely and desirable, and assesses the benefits and drawbacks of the scenario methods used in UK uplands to date. Stakeholders agreed that the most desirable and likely scenario would be a continuation of hill farming (albeit at reduced levels) based on cross-compliance with environmental measures. The least desirable scenario is a withdrawal of government financial support for hill farming. Although this was deemed by stakeholders to be the least likely scenario, the loss of government support warrants close attention due to its potential implications for the local economy. Stakeholders noted that the environmental implications of this scenario are much less clear-cut. As such, there is an urgent need to understand the full implications of this scenario, so that upland stakeholders can adequately prepare, and policy-makers can better evaluate the likely implications of different policy options. The paper concludes that in future, upland scenario research needs to: (1) better integrate in-depth and representative participation from stakeholders during both scenario development and evaluation; and (2) make more effective use of visualisation techniques and simulation models.Item Open Access What do we need to know to enhance the environmental sustainability of agricultural production? A prioritisation of knowledge needs for the UK food system(MDPI, 2013-07-17T00:00:00Z) Dicks, Lynn V.; Bardgett, Richard D.; Bell, Jenny; Benton, Tim G.; Booth, Angela; Bouwman, Jan; Brown, Chris; Bruce, Ann; Burgess, Paul J.; Butler, Simon J.; Crute, Ian; Dixon, Frances; Drummond, Caroline; Freckleton, Robert P.; Gill, Maggie; Graham, Andrea; Hails, Rosie S.; Hallett, James; Hart, Beth; Hillier, Jon G.; Holland, John M.; Huxley, Jonathan N.; Ingram, John S. I.; King, Vanessa; MacMillan, Tom; McGonigle, Daniel F.; McQuaid, Carmel; Nevard, Tim; Norman, Steve; Norris, Ken; Pazderka, Catherine; Poonaji, Inder; Quinn, Claire Helen; Ramsden, S. J.; Sinclair, Duncan; Siriwardena, Gavin M.; Vickery, Juliet A.; Whitmore, A. P.; Wolmer, William; Sutherland, William J.Abstract: Increasing concerns about global environmental change and food security have focused attention on the need for environmentally sustainable agriculture. This is agriculture that makes efficient use of natural resources and does not degrade the environmental systems that underpin it, or deplete natural capital stocks. We convened a group of 29 ‘practitioners' and 17 environmental scientists with direct involvement or expertise in the environmental sustainability of agriculture. The practitioners included representatives from UK industry, non-government organizations and government agencies. We collaboratively developed a long list of 264 knowledge needs to help enhance the environmental sustainability of agriculture within the UK or for the UK market. We refined and selected the most important knowledge needs through a three-stage process of voting, discussion and scoring. Scientists and practitioners identified similar priorities. We present the 26 highest priority knowledge needs. Many of them demand integration of knowledge from different disciplines to inform policy and practice. The top five are about sustainability of livestock feed, trade-offs between ecosystem services at farm or landscape scale, phosphorus recycling and metrics to measure sustainability. The outcomes will be used to guide ongoing knowledge exchange work, future science policy and funding.