Contributors | Affiliation | Role |
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Martiny, Adam | University of California-Irvine (UC Irvine) | Principal Investigator |
Flombaum, Pedro | Universidad de Buenos Aires | Co-Principal Investigator, Contact |
Soenen, Karen | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Prochlorococcus, Synechococcus and picoeukaryotic phytoplankton global observations with ancillary environmental data (nitrate, phosphate and temperature) from 1987 to 2008.
The data in version 2 is in the correct order, but has the exact same data as version 1.
We compiled in situ observations with ancillary environment data of Prochlorococcus, Synechococcus and picoeukaryotic phytoplankton abundances in the global ocean.
For a list of cruises and time series included please refer to supplementary table 1 of Visintini et al., (2021).
BCO-DMO processing notes:
File |
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global_obs.csv (Comma Separated Values (.csv), 3.01 MB) MD5:d9f4059dd3edcf6080006d6ec004756f Primary data file for dataset ID 793451 |
Parameter | Description | Units |
Year | year (format:YYYY) | unitless |
Day | Julian day | unitless |
Latitude | Latitude, south is negative | decimal degrees |
Longitude | Longitude, west is negative | decimal degrees |
Nitrite_Nitrate | Sun of nitrite and nitrate concentration | Micromoles per Liter (umol/l) |
Phosphate | Phosphate concentration | Micromoles per Liter (umol/l) |
Temperature | Water temperature | Degrees Celcius (°C) |
Depth | Water column depth | Meters (m) |
Prochlorococcus | Cell abundance | Cells per milliliter (cells/ml) |
Synechococcus | Cell abundance | Cells per milliliter (cells/ml) |
Pico_eukaryotes | Picoeukaryotic phytoplankton cell abundance | Cells per milliliter (cells/ml) |
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.
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) | |
Agencia Nacional de Promoción Científica y Tecnológica | |
Universidad de Buenos Aires |