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Data rescue and re-use: Recycling old information to address new policy concerns

Lookup NU author(s): Professor Pip MooreORCiD


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Information on past trends is essential to inform future predictions and underpin attribution needed to drive policy responses. It has long been recognised that sustained observations are essential for disentangling climate-driven change from other regional and local-scale anthropogenic impacts and environmental fluctuations or cycles in natural systems. This paper highlights how data rescue and re-use have contributed to the debate on climate change responses of marine biodiversity and ecosystems. It also illustrates via two case studies the re-use of old data to address new policy concerns. The case studies focus on (1) plankton, fish and benthos from the Western English Channel and (2) broad-scale and long-term studies of intertidal species around the British Isles. Case study 1 using the Marine Biological Association of the UK's English Channel data has shown the influence of climatic fluctuations on phenology (migration and breeding patterns) and has also helped to disentangle responses to fishing pressure from those driven by climate, and provided insights into ecosystem-level change in the English Channel. Case study 2 has shown recent range extensions, increases of abundance and changes in phenology (breeding patterns) of southern, warm-water intertidal species in relation to recent rapid climate change and fluctuations in northern and southern barnacle species, enabling modelling and prediction of future states. The case is made for continuing targeted sustained observations and their importance for marine management and policy development. © 2013 Elsevier Ltd.

Publication metadata

Author(s): Hawkins SJ, Firth LB, McHugh M, Poloczanska ES, Herbert RJH, Burrows MT, Kendall MA, Moore PJ, Thompson RC, Jenkins SR, Sims DW, Genner MJ, Mieszkowska N

Publication type: Article

Publication status: Published

Journal: Marine Policy

Year: 2013

Volume: 42

Pages: 91-98

Print publication date: 01/11/2013

Online publication date: 08/02/2013

ISSN (print): 0308-597X

Publisher: Elsevier


DOI: 10.1016/j.marpol.2013.02.001


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