Project Details
Projekt Print View

Development of a consistent thermodynamic model of trace element - organic matter interactions in the Ocean.

Subject Area Oceanography
Term from 2018 to 2024
Project identifier Deutsche Forschungsgemeinschaft (DFG) - Project number 393829236
 
Final Report Year 2024

Final Report Abstract

Trace elements can limit productivity in the ocean, and thus influence the amount of carbon dioxide that marine phytoplankton remove from the atmosphere. The most critical trace element for phytoplankton growth is iron, which limits productivity in approximately 30 % of the worlds' ocean. Iron is included as limiting nutrient in many biogeochemical models and some climate models, in order to account for its influence on the impact of carbon dioxide on the earths' climate. Incorporation of iron into biogeochemical and climate models needs to be underpinned by a fundamental understanding of the chemistry of iron in seawater, since iron chemistry is affected by ocean pH, temperature and dissolved organic matter (DOM). Organic matter is known to have a major influence on iron chemistry, but interactions between DOM and iron are typically described in a simplistic, empirical way that is not linked to the intrinsic chemical properties of DOM or iron. In this project we investigated the intrinsic acid-base properties of DOM, which underpin DOM-iron interactions. We determined proton binding parameters for DOM sampled from brackish waters of the Baltic Sea and open ocean waters of the North Atlantic, via application of the non-ideal competitive adsorption (NICA) - Donnan model. Alongside these parameters, we determined the molecular and elemental properties of marine DOM. We found that the NICA parameters of DOM could be linked to changes in elemental and molecular properties. We further applied the NICA-Donnan model to determine carbon:trace metal ratios in the Amazon Plume. We found determined ratios were consistent with ratios observed on analysis of extracted DOM with high performance liquid chromatography – electrospray ionisation/inductively coupled – mass spectrometry. The application of the NICA model for interpretation of trace metal (including iron) chemistry in seawater improved our ability to link the biogeochemistry of the metals in the Amazon Plume to their fundamental chemical properties, as determined by their positions in the periodic table of elements.

Publications

 
 

Additional Information

Textvergrößerung und Kontrastanpassung