
The CyanobacteriaProchlorococcusandSynechococcusaccount for a substantial fraction of marine primary production. Here, we present quantitative niche models for these lineages that assess present and future global abundances and distributions. These niche models are the result of neural network, nonparametric, and parametric analyses, and they rely on >35,000 discrete observations from all major ocean regions. The models assess cell abundance based on temperature and photosynthetically active radiation, but the individual responses to these environmental variables differ for each lineage. The models estimate global biogeographic patterns and seasonal variability of cell abundance, with maxima in the warm oligotrophic gyres of the Indian and the western Pacific Oceans and minima at higher latitudes. The annual mean global abundances ofProchlorococcusandSynechococcusare 2.9 ± 0.1 × 1027and 7.0 ± 0.3 × 1026cells, respectively. Using projections of sea surface temperature as a result of increased concentration of greenhouse gases at the end of the 21st century, our niche models projected increases in cell numbers of 29% and 14% forProchlorococcusandSynechococcus, respectively. The changes are geographically uneven but include an increase in area. Thus, our global niche models suggest that oceanic microbial communities will experience complex changes as a result of projected future climate conditions. Because of the high abundances and contributions to primary production ofProchlorococcusandSynechococcus, these changes may have large impacts on ocean ecosystems and biogeochemical cycles.
570, Population Dynamics, Cianobacterias, Marine Biology, ULTRAPHYTOPLANKTON, 551, WATERS, Models, Biological, CARBON EXPORT, marine biogeochemistry, https://purl.org/becyt/ford/1.6, SMALL PHYTOPLANKTON, Seawater, https://purl.org/becyt/ford/1, microbial biogeography, Atlantic Ocean, Indian Ocean, SURFACE OCEAN, Ecosystem, ATLANTIC-OCEAN, Prochlorococcus, Population Density, Synechococcus, CLIMATE-CHANGE, Pacific Ocean, Modelo de Nicho, Geography, Temperature, HETEROTROPHIC BACTERIA, PICOPLANKTON, climate change, Regression Analysis, Seasons, COMMUNITY STRUCTURE, Algorithms, Forecasting
570, Population Dynamics, Cianobacterias, Marine Biology, ULTRAPHYTOPLANKTON, 551, WATERS, Models, Biological, CARBON EXPORT, marine biogeochemistry, https://purl.org/becyt/ford/1.6, SMALL PHYTOPLANKTON, Seawater, https://purl.org/becyt/ford/1, microbial biogeography, Atlantic Ocean, Indian Ocean, SURFACE OCEAN, Ecosystem, ATLANTIC-OCEAN, Prochlorococcus, Population Density, Synechococcus, CLIMATE-CHANGE, Pacific Ocean, Modelo de Nicho, Geography, Temperature, HETEROTROPHIC BACTERIA, PICOPLANKTON, climate change, Regression Analysis, Seasons, COMMUNITY STRUCTURE, Algorithms, Forecasting
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