Abstract
There is about to be an abrupt step-change in the use of our coastal seas, specifically by the addition of large-scale offshore renewable energy developments to combat climate change. Many trade-offs will need to be weighed up for the future sustainable management of marine ecosystems between renewables and other uses (e.g., fisheries, marine protected areas). Therefore, we need a much greater understanding of how different marine habitats and ecosystems are likely to change with both natural and anthropogenic transformations. This work will present a review of predictive Bayesian approaches from ecosystem level, through to fine scale mechanistic understanding of foraging success by individual species, to identify consistent physical (e.g., bottom temperature) and biological (e.g., chlorophyll-a) indicators of habitat and ecosystem change over the last 30 years within the North Sea. These combined approaches illuminate the feasibility of integrating knowledge across scales to be able to address the spatio-temporal variability of biophysical indicators to ultimately strengthen predictions of population changes at ecosystem scales across broadly different habitat types. Such knowledge will provide an effective baseline for more strategic and integrated approaches to both monitoring studies and assessing anthropogenic impacts to be used within marine spatial planning considerations.
Original language | English |
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Article number | 769680 |
Number of pages | 20 |
Journal | Frontiers in Marine Science |
Volume | 8 |
DOIs | |
Publication status | Published - 25 Jan 2022 |
Bibliographical note
FundingThis work was supported by the Supergen Offshore Renewable Energy (ORE) Hub, funded by the Engineering and Physical Sciences Research Council (EPSRC EP/S000747/1).
Acknowledgments
The authors would like to thank the following people for providing original images, incorporated in this work: Rory O’Hara Murray (Marine Scotland Science, United Kingdom), Ella-Sophia Benninghaus and Morgane Declerck (University of Aberdeen, United Kingdom).
Keywords
- marine ecosystem
- marine spatial planning
- climate change
- fisheries
- marine protected areas
- seabirds and marine mammals
- potential energy anomaly
- net primary production