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Thomas, A., Cosby, B.J., Gooday, R., Lyons, H., Siriwardena, G., Kettel, E. 
ORCID: 0000-0001-8555-6195, Matthews, R., Beauchamp, K., Petr, M. and Emmett, B.A.,
2021.
Rapid adaptive modelling for policy support towards achieving Sustainable Development Goals: Brexit and the livestock sector in Wales.
Environmental Science and Policy, 125, pp. 21-31.
ISSN 1462-9011
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1465718_Kettel.pdf - Published version Download (5MB) | Preview |
Abstract
Sustainable use of land is central to achieving the United Nations Sustainable Development Goals (SDG). However, implementation of policy targeting SDG delivery can be driven off track by external factors. There is a pressing need for rapid, adaptable modelling approaches to support policy development against a background of dynamic changes in environmental and political conditions. An example is the imminent departure of the UK from the EU (Brexit), which requires responsive inputs of robust evidence to inform decision making. We combine existing agri-economic modelling with well-tested environmental models, driven by farm survey and landscape data in an adaptive, participatory approach to assess potential agricultural sector responses to Brexit. We explore potential Brexit impacts on land use, environmental outcomes and agricultural jobs in Wales, UK, where agriculture is dominated by animal production on grassland systems. Three potential post-Brexit trade agreements scenarios are considered: EU Deal; No Deal; and Multilateral Free Trade Agreements. For each scenario potential changes in animal numbers in livestock systems in Wales are converted to predicted land use change at field and farm scale and combined with national data sources and models to explore consequences for the environment and jobs. Potential changes in grazing animal numbers range between − 30% (sheep for No Deal and MFTA) and + 53% (No Deal dairy), affecting 3% (EU Deal) to 17% (No Deal) of agricultural land and creating potential losses of 700 (EU Deal) to 7000 (MFTA) full time jobs. Environmental outcomes are mixed, with reductions in greenhouse gas emissions (− 1% EU deal to − 16% MFTA) and variable impacts on pollutant loads to water (N ranges + 3% for No Deal to − 14% for MFTA) across all scenarios. Air pollution is most scenario dependent (+ 11% No Deal to − 12% MFTA), and biodiversity showed a mixed response to each scenario. The findings of this study support Welsh government in developing programmes to manage the Brexit transition proactively, mitigating risks to the environment, rural communities and agricultural sector.
| Item Type: | Journal article | ||||||
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| Publication Title: | Environmental Science and Policy | ||||||
| Creators: | Thomas, A., Cosby, B.J., Gooday, R., Lyons, H., Siriwardena, G., Kettel, E., Matthews, R., Beauchamp, K., Petr, M. and Emmett, B.A. | ||||||
| Publisher: | Elsevier BV | ||||||
| Date: | November 2021 | ||||||
| Volume: | 125 | ||||||
| ISSN: | 1462-9011 | ||||||
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| Rights: | ©2021 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). | ||||||
| Divisions: | Schools > School of Animal, Rural and Environmental Sciences | ||||||
| Record created by: | Laura Ward | ||||||
| Date Added: | 17 Nov 2021 13:30 | ||||||
| Last Modified: | 17 Nov 2021 13:30 | ||||||
| URI: | https://irep.ntu.ac.uk/id/eprint/44853 |
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