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The role of sustained observations in tracking impacts of environmental change on marine biodiversity and ecosystems

  • Marine Biological Association
  • Newcastle University
  • University of Galway
  • University of Southampton

Research output: Contribution to journalReview articlepeer-review

Abstract

Marine biodiversity currently faces unprecedented threats from multiple pressures arising from human activities. Global drivers such as climate change and ocean acidification interact with regional eutrophication, exploitation of commercial fish stocks and localized pressures including pollution, coastal development and the extraction of aggregates and fuel, causing alteration and degradation of habitats and communities. Segregating natural from anthropogenically induced change in marine ecosystems requires long-term, sustained observations of marine biota. In this review, we outline the history of biological recording in the coastal and shelf seas of the UK and Ireland and highlight where sustained observations have contributed new understanding of how anthropogenic activities have impacted on marine biodiversity. The contributions of sustained observations, from those collected at observatories, single station platforms and multiple-site programmes to the emergent field of multiple stressor impacts research, are discussed, along with implications for management and sustainable governance of marine resources in an era of unprecedented use of the marine environment.

Original languageEnglish
Article number20130339
JournalPhilosophical transactions. Series A, Mathematical, physical, and engineering sciences
Volume372
Issue number2025
DOIs
Publication statusPublished - 28 Sept 2014
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action
  2. SDG 14 - Life Below Water
    SDG 14 Life Below Water

Keywords

  • Climate change
  • Ecosystem
  • Marine biodiversity
  • Multiple stressors
  • Sustained observations
  • Timeseries

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