Project: Convergence: RAISE: Linking the adaptive dynamics of plankton with emergent global ocean biogeochemistry

Acronym/Short Name:Ocean Stoichiometry
Project Duration:2018-09 - 2021-08

Description

NSF Award Abstract:
Due to their sheer abundance and high activity, microorganisms have the potential to greatly influence how ecosystems are affected by changes in their environment. However, descriptions of microbial physiology and diversity are local and highly complex and thus rarely considered in Earth System Models. Thus, the researchers focus on a convergence research framework that can qualitatively and quantitatively integrate eco-evolutionary changes in microorganisms with global biogeochemistry. Here, the investigators will develop an approach that integrates the knowledge and tools of biologists, mathematicians, engineers, and geoscientists to understand the link between the ocean nutrient and carbon cycles. The integration of data and knowledge from diverse fields will provide a robust, biologically rich, and computationally efficient prediction for the variation in plankton resource requirements and the biogeochemical implications, addressing a fundamental challenge in ocean science. In addition, the project can serve as a road map for many other research groups facing a similar lack of convergence between biology and geoscience.

Traditionally, the cellular elemental ratios of Carbon, Nitrogen, and Phosphorus (C:N:P) of marine communities have been considered static at Redfield proportions but recent studies have demonstrated strong latitudinal variation. Such regional variation may have large - but poorly constrained - implications for marine biodiversity, biogeochemical functioning, and atmospheric carbon dioxide levels. As such, variations in ocean community C:N:P may represent an important biological feedback. Here, the investigators propose a convergence research framework integrating cellular and ecological processes controlling microbial resource allocations with an Earth System model. The approach combines culture experiments and omics measurements to provide a molecular understanding of cellular resource allocations. Using a mathematical framework of increasing complexity describing communicating, moving demes, the team will quantify the extent to which local mixing, environmental heterogeneity and evolution lead to systematic deviations in plankton resource allocations and C:N:P. Optimization tools from engineering science will be used to facilitate the quantitative integration of models and observations across a range of scales and complexity levels. Finally, global ocean modeling will enable understanding of how plankton resource use impacts Earth System processes. By integrating data and knowledge across fields, scales and complexity, the investigators will develop a robust link between variation in plankton C:N:P and global biogeochemical cycles.


DatasetLatest Version DateCurrent State
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
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
POM concentrations for carbon, nitrogen, and phosphorus from GO-SHIP Line C13.5/A13.5 in 20202022-01-31Final 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 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 yearly mean global abundance for four CMIP5 climate scenarios using an ensemble of five circulation models2021-02-25Final 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
Prochlorococcus, Synechococcus and picoeukaryotic phytoplankton abundance climatology in the global ocean from quantitative niche models.2020-05-11Final 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
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
Picoeukaryotic phytoplankton observations from available public repositories and primary sources from from 1988-20072019-12-04Final no updates expected
Global distribution of phosphate using high sensitivity techniques from data aggregated from many studies between 1988-2017 2019-04-17Final no updates expected

People

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

Co-Principal Investigator: Natalia Komarova
University of California-Irvine (UC Irvine)

Co-Principal Investigator: Simon Levin
Princeton University

Co-Principal Investigator: Francois Primeau
University of California-Irvine (UC Irvine)

Contact: Adam Martiny
University of California-Irvine (UC Irvine)


Data Management Plan

DMP_Martiny_etal_OCE-1848576.pdf (83.65 KB)
02/09/2025