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We present a systematic study of the differences generated by\udcoupling the same ecological–biogeochemical model to a 1°,\udcoarse-resolution, and 1∕6°, eddy-permitting, global ocean\udcirculation model to (a) biogeochemistry (e.g., primary production) and\ud(b) phytoplankton community structure. Surprisingly, we find that the modeled\udphytoplankton community is largely unchanged, with the same phenotypes\uddominating in both cases. Conversely, there are large regional and seasonal\udvariations in primary production, phytoplankton and zooplankton biomass. In\udthe subtropics, mixed layer depths (MLDs) are, on average, deeper in the\udeddy-permitting model, resulting in higher nutrient supply driving increases\udin primary production and phytoplankton biomass. In the higher latitudes,\uddifferences in winter mixed layer depths, the timing of the onset of the\udspring bloom and vertical nutrient supply result in lower primary production\udin the eddy-permitting model. Counterintuitively, this does not drive a\uddecrease in phytoplankton biomass but results in lower zooplankton biomass.\udWe explain these similarities and differences in the model using the\udframework of resource competition theory, and find that they are the\udconsequence of changes in the regional and seasonal nutrient supply and light\udenvironment, mediated by differences in the modeled mixed layer depths.\udAlthough previous work has suggested that complex models may respond\udchaotically and unpredictably to changes in forcing, we find that our model\udresponds in a predictable way to different ocean circulation forcing, despite\udits complexity. The use of frameworks, such as resource competition theory,\udprovides a tractable way to explore the differences and similarities that\udoccur. As this model has many similarities to other widely used\udbiogeochemical models that also resolve multiple phytoplankton phenotypes,\udthis study provides important insights into how the results of running these\udmodels under different physical conditions might be more easily understood

Biogeochemical versus ecological consequences of modeled ocean physics