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Potential climate-driven changes to seabird demography: implications for assessments of marine renewable energy development

  • Kate Searle
  • , Adam Butler
  • , James Waggitt
  • , Peter Evans
  • , Lucy Quinn
  • , Maria Bogdanova
  • , Tom Evans
  • , Janelle Braithwaite
  • , Francis Daunt
  • UK Centre for Ecology & Hydrology
  • Bioinformatics and Statistics Scotland
  • NatureScot
  • Marine Scotland Science

Research output: Contribution to journalArticlepeer-review

Abstract

Europe has set ambitious green energy targets, to which offshore renewable developments (ORDs) will make a significant contribution. Governments are legally required to deliver ORDs sustainably; however, they may have detrimental impacts on wildlife, especially those already experiencing declines due to climate change. Population viability analysis (PVA) is the standard method for forecasting population change in ORD assessments, but PVAs do not currently account for climate effects. We quantified climate effects on seabird breeding success for 8 UK species breeding in the North Sea. We assessed the potential for seabirds to mitigate climate-driven changes in breeding success by accessing wider resources through increased foraging ranges around colonies. We demonstrate strong links between breeding success and climate in 5 species. In 4 of these species, future climate projections indicated large declines in breeding success relative to current rates. Only one species was predicted to increase breeding success under future climate. In all 5 species, there was limited opportunity for species to increase breeding success by expanding foraging ranges to access more suitable future climatic conditions. Climate change will have significant ramifications for future breeding success of seabirds breeding in the North Sea, an area undergoing extensive and rapid offshore renewable energy development. We recommend 3 methods for including climate-driven changes to seabird breeding success within ORD assessments: development of predictive climate-driven habitat use models to estimate ORD-wildlife interactions; delivery of a new ORD assessment framework that includes dynamic predictions of climate-driven habitat use and demography of wildlife populations; and consideration of climate-driven changes in the implementation of compensatory measures.
Original languageEnglish
Pages (from-to)185-200
JournalMarine Ecology Progress Series
Volume690
Early online date2 Jun 2022
DOIs
Publication statusPublished - Jun 2022

UN SDGs

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

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 13 - Climate Action
    SDG 13 Climate Action
  3. SDG 14 - Life Below Water
    SDG 14 Life Below Water

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