Two takes on the ecosystem impacts of climate change and fishing: Comparing a size-based and a species-based ecosystem model in the central North Pacific. (November 2015)

• Record Type: Journal Article
• Authors: Woodworth-Jefcoats, Phoebe A.; Polovina, Jeffrey J.; Howell, Evan A.; Blanchard, Julia L.
• Is Part Of: Progress in oceanography. Volume 138 Part B (2015:Nov.)
• Page Start: 533
• Page End: 545
• Publication Date: 2015-11
• Subjects: Oceanography -- Periodicals; 551.4605
• DOI: 10.1016/j.pocean.2015.04.004
• Languages: English
• ISSNs: 0079-6611

Abstract

Highlights: We compare size-based and species-based ecosystem modeling approaches. Across models, climate change leads to ecosystem-wide declines in biomass and catch. Sensitivity to top-down and bottom-up forcing is linked, in part, to model structure. Ensembles should aim to quantify uncertainty and skill both within and across models. Abstract: We compare two ecosystem model projections of 21st century climate change and fishing impacts in the central North Pacific. Both a species-based and a size-based ecosystem modeling approach are examined. While both models project a decline in biomass across all sizes in response to climate change and a decline in large fish biomass in response to increased fishing mortality, the models vary significantly in their handling of climate and fishing scenarios. For example, based on the same climate forcing the species-based model projects a 15% decline in catch by the end of the century while the size-based model projects a 30% decline. Disparities in the models' output highlight the limitations of each approach by showing the influence model structure can have on model output. The aspects of bottom-up change to which each model is most sensitive appear linked to model structure, as does the propagation of interannual variability through the food web and the relative impact of combined top-down and bottom-up change. Incorporating integrated size- and species-based ecosystem modeling approaches into future ensemble studies may help separate the influence of model structure from robust projections of ecosystem change.