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New approaches to marine conservation through the scaling up of ecological data
Edgar, G.J.; Bates, A.E.; Bird, T.J.; Jones, A.H.; Kininmonth, S.; Stuart-Smith, R.D.; Webb, T.J. (2016). New approaches to marine conservation through the scaling up of ecological data, in: Carlson, C.A. et al. Ann. Rev. Mar. Sci. 8. Annual Review of Marine Science, 8: pp. 435-461. https://dx.doi.org/10.1146/annurev-marine-122414-033921
In: Carlson, C.A.; Giovannoni, S.J. (Ed.) (2016). Ann. Rev. Mar. Sci. 8. Annual Review of Marine Science, 8. Annual Reviews: Palo Alto. ISBN 978-0-8243-4508-2. 541 pp., more
In: Annual Review of Marine Science. Annual Reviews: Palo Alto, Calif. ISSN 1941-1405; e-ISSN 1941-0611, more
Peer reviewed article  

Available in  Authors 

Keyword
    Marine/Coastal
Author keywords
    biological diversity, citizen science, ecological monitoring, ecosystem management, macroecology, underwater visual census

Authors  Top 
  • Edgar, G.J.
  • Bates, A.E.
  • Bird, T.J.
  • Jones, A.H.
  • Kininmonth, S.
  • Stuart-Smith, R.D.
  • Webb, T.J., more

Abstract
    In an era of rapid global change, conservation managers urgently need improved tools to track and counter declining ecosystem conditions. This need is particularly acute in the marine realm, where threats are out of sight, inadequately mapped, cumulative, and often poorly understood, thereby generating impacts that are inefficiently managed. Recent advances in macroecology, statistical analysis, and the compilation of global data will play a central role in improving conservation outcomes, provided that global, regional, and local data streams can be integrated to produce locally relevant and interpretable outputs. Progress will be assisted by (a) expanded rollout of systematic surveys that quantify species patterns, including some carried out with help from citizen scientists; (b) coordinated experimental research networks that utilize large-scale manipulations to identify mechanisms underlying these patterns; (c) improved understanding of consequences of threats through the application of recently developed statistical techniques to analyze global species' distributional data and associated environmental and socioeconomic factors; (d) development of reliable ecological indicators for accurate and comprehensible tracking of threats; and (e) improved data-handling and communication tools.

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