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NOAA Fisheries Northwest Science Center Publication Details

CitationCrozier, L.G., Gomes, D.G.E. and Huff, D.D. (2025), Climate Change and Marine Food Webs: Navigating Structural Uncertainty Using Qualitative Network Analysis With Insights for Salmon Survival. Glob Change Biol, 31: e70143. https://doi.org/10.1111/gcb.70143 (https://doi.org/10.1111/gcb.70143)
TitleClimate Change and Marine Food Webs: Navigating Structural Uncertainty Using Qualitative Network Analysis With Insights for Salmon Survival
Publication Year2025
Volume31
Pagese70143
Keywordssalmon, california current, species interactions, climate change, ecosystem based fisheries manageme
AbstractModels informing salmon management are most useful when they accurately represent the sensitivity of salmon to natural and anthropogenic pressures. When both direct and indirect effects of pressures are accounted for, robust strategies for reducing negative impacts from climate change can be developed. However, data limitations prevent us from fully parameterizing such a complex model. Controlled experiments or even comprehensive surveys of ocean ecosystems are extremely difficult and expensive, if not impossible. Therefore, we need tools that are less constrained by data availability to provide a more balanced perspective on what species interactions may be most influential for salmon. With this information, we can focus efforts on collecting the most useful data and make decisions that account for known uncertainties. Qualitative models do not depend on empirical estimates of species interaction coefficients, and are therefore useful for exploring generalized characteristics of ocean
Official CitationCrozier, L.G., Gomes, D.G.E. and Huff, D.D. (2025), Climate Change and Marine Food Webs: Navigating Structural Uncertainty Using Qualitative Network Analysis With Insights for Salmon Survival. Glob Change Biol, 31: e70143. https://doi.org/10.1111/gcb.70143
Links (https://doi.org/10.1111/gcb.70143)