The distributions of two morphologically similar planktonic foraminifera (Globigerinoides ruber and Trilobus sacculifer) that are major taxa in the mixed layer of the tropical South Pacific Ocean are related to environmental variables (sea surface temperature, chlorophyll-a, nitrate, phosphate, salinity, oxygen) to determine the extent to which their niches overlap. Their distributions in ForCenS, a database of species in seafloor sediment are studied as a proxy for upper ocean data and are analysed as occurrences using MaxEnt, and as relative abundances via non-parametric regression (Random Forests). Their distributions are similar and their co-occurrences are high but relations between their abundances and the environmental variables are complex and non-linear. In the occurrence analysis sea surface temperature is the strongest predictor of niche suitability, followed by chlorophyll-a; environments between 0 -20 o S are mapped as the most suitable for both species. To the contrary, predicted species distributions are strongly differentiated by the abundance analysis. Nitrate and chlorophyll-a are primary variables in the map of predicted relative abundances of Globigerinoides ruber, with maxima in the hyper-oligotrophic zone of the subtropical gyre. In contrast, sea surface temperature and chlorophyll-a are primary variables in the map for Trilobatus sacculifer and predicted maxima are at the margins of the hyper-oligotrophic zone and near the West Pacific Warm Pool. The high relative abundance of Globigerinoides ruber in the hyper-oligotrophic zone is attributed to its close photosymbiotic relation with onboard dinoflagellates; this compensates for the low primary productivity in the zone. It is clearly identified as the best-adapted planktonic foraminifer in this huge marine 'desert' and might serve as a useful proxy. The photosymbiotic relation is less apparent in Trilobatus sacculifer which, as in vitro research suggests, primarily depends on particulate nutrition. The study shows the value of abundance over occurrence data for analysing the trophic resources of these zooplankters.