Award: OCE-1848576

Award Title: Convergence: RAISE: Linking the adaptive dynamics of plankton with emergent global ocean biogeochemistry
Funding Source: NSF Division of Ocean Sciences (NSF OCE)
Program Manager: Michael E. Sieracki

Outcomes Report

The aim of this project was to combine genomics and new mathematical approaches to understand the role of plankton biodiversity in ocean carbon and nutrient cycles. The project resulted in several transformative discoveries. Marine microorganisms rapidly adapt to changes in the environment. We sequenced the microbiomes from many regions and used such adaptive genomic mutations as a biosensor for ocean environmental changes. This approach provided the first global description of phytoplankton nutrient limitation. We next integrated these ‘omics field observations with measurements of ecosystem carbon and nutrient stocks. Traditionally, the elemental composition of marine communities has been considered static at Redfield proportions. However, our project clearly demonstrated regional variation in the carbon:nitrogen:phosphorus ratios linked to plankton nutrient limitation. Finally, we integrated ‘omics and biogeochemical measurements with a new generation of Earth system models to quantify how plankton physiology and adaptation regulation ocean biogeochemical cycles. This resulted in a new understanding of both marine nitrogen fixation and carbon sequestration. Thus, we demonstrated how adaptative resource in marine ecosystems can have large implications for marine biodiversity, biogeochemical functioning, and atmospheric levels. As such, future variations in ocean community C:N:P may represent one of the most important biological feedbacks to climate change. The project several broader impacts. First, we demonstrated the importance of convergent science approach for understanding the importance of biological responses for the global carbon and nutrient cycles. The project showed how to integrate molecular processes controlling microbial resource allocations with a global Earth System model. Second, we trained a large undergraduate and graduate student cohort in convergent science approaches. Students also had the opportunity to learn diverse skills across disciplines. As a result, many of the most impactful studies were student-led. Last Modified: 12/05/2022 Submitted by: Adam C Martiny
DatasetLatest Version DateCurrent State
Global distribution of phosphate using high sensitivity techniques from data aggregated from many studies between 1988-2017 2019-04-17Final no updates expected
Picoeukaryotic phytoplankton observations from available public repositories and primary sources from from 1988-20072019-12-04Final no updates expected
Biomass historic CMIP5 data - mean picophytoplankton surface biomass estimated for climate models under the Historical scenario2019-12-04Final no updates expected
Biomass rcp85 CMIP5 data - mean picophytoplankton surface biomass estimated for the climate models under the Representative Concentration Pathway 8.52019-12-04Final no updates expected
Global cell abundance of picoeukaryotic phytoplankton, predicted by neural network models using average temperatures and nitrate from the World Ocean Atlas 20052019-12-04Final no updates expected
Global observations Prochlorococcus, Synechococcus, and picoeukaryotic phytoplankton with ancillary environmental data from 1987 to 20082021-08-30Final no updates expected
Prochlorococcus, Synechococcus, and picoeukaryotic phytoplankton yearly mean global abundance for four CMIP5 climate scenarios using an ensemble of five circulation models2021-02-25Final no updates expected
Prochlorococcus, Synechococcus, and picoeukaryotic phytoplankton yearly standard deviation from mean global abundance estimated for four CMIP5 climate scenarios using an ensemble of five circulation models2021-03-09Final no updates expected
Prochlorococcus, Synechococcus, and picoeukaryotic phytoplankton for four future climatic scenarios and five Earth System Models (cell/ml) in a global 1x1 grid for the ocean surface (50m)2020-02-19Final no updates expected
Prochlorococcus, Synechococcus and picoeukaryotic phytoplankton abundance climatology in the global ocean from quantitative niche models.2020-05-11Final no updates expected
POM concentrations for carbon, nitrogen, phosphorus, and chemical oxygen from GO-SHIP Line P18 Legs 1 and 2 in 2016 and 20172020-06-22Final no updates expected
POM concentrations for carbon, nitrogen, and phosphorus from GO-SHIP Line C13.5/A13.5 in 20202022-01-31Final no updates expected
POM concentrations for carbon, nitrogen, and phosphorus from GO-SHIP Line I07N RB1803 in the Western Indian Ocean from April to June 2018 (Ocean Stoichiometry Project)2022-08-24Final no updates expected
Semi-quantitative cell proteome of marine Synechococcus WH8102 using DIA-MS, interactive nutrient-temperature responses in stable chemostat bioreactors from laboratory experiments conducted in 20192024-03-22Data not available

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People

Principal Investigator: Adam C. Martiny (University of California-Irvine)

Co-Principal Investigator: Simon A Levin

Co-Principal Investigator: Francois Primeau

Co-Principal Investigator: Natalia Komarova