Potential climate-driven changes to seabird demography: implications for assessments of marine renewable energy development
Potential climate-driven changes to seabird demography: implications for assessments of marine renewable energy development
复制标题
气候驱动的海鸟人口统计的潜在变化:对海洋可再生能源开发评估的影响
DOI:
10.3354/meps14045
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发表时间:
2022
影响因子:
2.5
通讯作者:
F. Daunt
中科院分区:
文献类型:
--
作者:
K. Searle;A. Butler;J. Waggitt;Pgh Evans;L. Quinn;M. Bogdanova;TJ Evans;Jez Braithwaite;F. Daunt
: 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.
DOI:
--
发表时间:
2020
期刊:
MCCIP Science Review
影响因子:
--
作者:
Mitchell PI
通讯作者:
Mitchell PI
影响因子:
30.7
作者:
Johnston, Alison;Ausden, Malcolm;Pearce-Higgins, JamesW.
通讯作者:
Pearce-Higgins, JamesW.
影响因子:
6.6
作者:
Nakagawa, Shinichi;Schielzeth, Holger
通讯作者:
Schielzeth, Holger