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Topp, C. |
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Title  |
Pesticide management in Scottish spring barley – insights from sowing dates |
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2015 |
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FACCE MACSUR Reports |
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5 |
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Sp5-68 |
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Better management of pesticides is a potentially important strategy for reducing environmental impact while maintaining yields. Pesticide use is influenced by several drivers, including sowing date, which can directly impact disease burden. Analysis of sowing dates for spring barley was the first stage of this project, which aims to provide insight into areas of farm management which can be optimised to reduce environmental impact. Sowing dates were taken from the Adopt a Crop database, which contains data from 1983 onwards for commercial farms across Scotland. Work was carried out at three levels: national, to provide an overall picture of historical patterns; regional, to highlight differences within Scotland; and case study, to determine whether the national trend was visible in a single region. A general trend towards later sowing of spring barley in Scotland is visible – yet, this pattern is less pronounced in certain regions. Future work must therefore consider what factors have lead to this shift, to more fully understand interactions between sowing date and the environment. No Label |
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MACSUR Science Conference 2015 »Integrated Climate Risk Assessment in Agriculture & Food«, 8–9+10 April 2015, Reading, UK |
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MA @ admin @ |
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2183 |
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Fodor, N.; Foskolos, A.; Topp, C.F.E.; Moorby, J.; Pásztor, L.; Foyer, C. |
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Spatially explicit estimation of heat stress related impact of climate change onthe milk production of dairy cows in the United Kingdom |
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Environmental Research Letters |
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MA @ admin @ |
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5021 |
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Kipling, R.P.; Topp, C.F.E.; Bannink, A.; Bartley, D.J.; Blanco-Penedo, I.; Cortignani, R.; del Prado, A.; Dono, G.; Faverdin, P.; Graux, A.-I.; Hutchings, N.J.; Lauwers, L.; Gulzari, S.O.; Reidsma, P.; Rolinski, S.; Ruiz-Ramos, M.; Sandars, D.L.; Sandor, R.; Schoenhart, M.; Seddaiu, G.; van Middelkoop, J.; Shrestha, S.; Weindl, I.; Eory, V. |
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To what extent is climate change adaptation a novel challenge for agricultural modellers |
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2019 |
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Environmental Modelling & Software |
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Env. Model. Softw. |
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120 |
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Unsp 104492 |
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Adaptation; Agricultural modelling; Climate change; Research challenges; greenhouse-gas emissions; farm-level adaptation; land-use; food; security; adapting agriculture; livestock production; decision-making; change impacts; dairy farms; crop |
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Modelling is key to adapting agriculture to climate change (CC), facilitating evaluation of the impacts and efficacy of adaptation measures, and the design of optimal strategies. Although there are many challenges to modelling agricultural CC adaptation, it is unclear whether these are novel or, whether adaptation merely adds new motivations to old challenges. Here, qualitative analysis of modellers’ views revealed three categories of challenge: Content, Use, and Capacity. Triangulation of findings with reviews of agricultural modelling and Climate Change Risk Assessment was then used to highlight challenges specific to modelling adaptation. These were refined through literature review, focussing attention on how the progressive nature of CC affects the role and impact of modelling. Specific challenges identified were: Scope of adaptations modelled, Information on future adaptation, Collaboration to tackle novel challenges, Optimisation under progressive change with thresholds, and Responsibility given the sensitivity of future outcomes to initial choices under progressive change. |
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2020-02-14 |
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English |
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1364-8152 |
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LiveM, ft_macsur |
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MA @ admin @ |
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5223 |
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