From trophic flows to causal effects: marine mammal-fish interactions in the Norwegian Sea and Barents Sea.

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Autores principales: Planque, Benjamin, Lindstrøm, Ulf, Henden, John-André, Skern-Mauritzen, Mette
Formato: Artículo científico
Lenguaje:en
Publicado: Proceedings. Biological sciences 2026
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author Planque, Benjamin
Lindstrøm, Ulf
Henden, John-André
Skern-Mauritzen, Mette
author_facet Planque, Benjamin
Lindstrøm, Ulf
Henden, John-André
Skern-Mauritzen, Mette
Planque, Benjamin
Lindstrøm, Ulf
Henden, John-André
Skern-Mauritzen, Mette
collection PubMed - marine biology
contents From trophic flows to causal effects: marine mammal-fish interactions in the Norwegian Sea and Barents Sea. Planque, Benjamin Lindstrøm, Ulf Henden, John-André Skern-Mauritzen, Mette Animals Food Chain Fishes Norway Biomass Models, Biological Oceans and Seas Fisheries Mammals Marine mammals, fish and fisheries exploit overlapping prey resources; yet the causal nature of their interactions remains unresolved due to limited data and complex ecosystem dynamics. In this study, we combine food web modelling with causal inference to quantify causal effects between marine mammals and commercially important fish species in the Norwegian Sea and Barents Sea. We first extract multiple food web dynamics from an existing mass-balanced linear inverse food web model and use these as inputs to causal modelling. A key methodological step is to translate the food web network into a temporally explicit causal diagram. By mapping biomass flows onto causal links, we quantify causal effects for both the short term (1 year lag) and the long term (30 year simulation). We find that the increase in marine mammal biomass has predominantly negative and potentially large-but highly uncertain-effects on fish biomass. In contrast, an increase in fish biomass produces smaller, positive effects on marine mammals. Long-term simulations reveal dampened impacts, indicating partial compensation over time. The results from this study, which combines food web dynamics modelling with causal inference, can support more precise, data-informed and ecologically grounded fisheries and marine mammal management in the North Atlantic.
format Artículo científico
id pubmed_41633505
institution PubMed
language en
publishDate 2026
publisher Proceedings. Biological sciences
record_format pubmed
spellingShingle From trophic flows to causal effects: marine mammal-fish interactions in the Norwegian Sea and Barents Sea.
Planque, Benjamin
Lindstrøm, Ulf
Henden, John-André
Skern-Mauritzen, Mette
Animals
Food Chain
Fishes
Norway
Biomass
Models, Biological
Oceans and Seas
Fisheries
Mammals
From trophic flows to causal effects: marine mammal-fish interactions in the Norwegian Sea and Barents Sea. Planque, Benjamin Lindstrøm, Ulf Henden, John-André Skern-Mauritzen, Mette Animals Food Chain Fishes Norway Biomass Models, Biological Oceans and Seas Fisheries Mammals Marine mammals, fish and fisheries exploit overlapping prey resources; yet the causal nature of their interactions remains unresolved due to limited data and complex ecosystem dynamics. In this study, we combine food web modelling with causal inference to quantify causal effects between marine mammals and commercially important fish species in the Norwegian Sea and Barents Sea. We first extract multiple food web dynamics from an existing mass-balanced linear inverse food web model and use these as inputs to causal modelling. A key methodological step is to translate the food web network into a temporally explicit causal diagram. By mapping biomass flows onto causal links, we quantify causal effects for both the short term (1 year lag) and the long term (30 year simulation). We find that the increase in marine mammal biomass has predominantly negative and potentially large-but highly uncertain-effects on fish biomass. In contrast, an increase in fish biomass produces smaller, positive effects on marine mammals. Long-term simulations reveal dampened impacts, indicating partial compensation over time. The results from this study, which combines food web dynamics modelling with causal inference, can support more precise, data-informed and ecologically grounded fisheries and marine mammal management in the North Atlantic.
title From trophic flows to causal effects: marine mammal-fish interactions in the Norwegian Sea and Barents Sea.
topic Animals
Food Chain
Fishes
Norway
Biomass
Models, Biological
Oceans and Seas
Fisheries
Mammals
url https://pubmed.ncbi.nlm.nih.gov/41633505/