Propagating uncertainty from physical and biogeochemical drivers through to top predators in dynamic Bayesian ecosystem models improves predictions
With the global rapid expansion of offshore renewable energies, there is an urgent need to assess and predict effects on marine species, habitats, and ecosystem functioning. Doing so will require dynamic, multitrophic, ecosystem-centric approaches coupled with oceanographic models that can allow for...
Tallennettuna:
| Päätekijät: | , , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Elsevier
2025-12-01
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| Sarja: | Ecological Informatics |
| Aiheet: | |
| Linkit: | http://www.sciencedirect.com/science/article/pii/S1574954125005199 |
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