Macroscale Patterns of Dissolved Organic Matter Thermodynamic Properties Across Diverse River Systems

Author:

Stegen James1ORCID,Garayburu-Caruso Vanessa1ORCID,Sengupta Aditi1,Dodds Walter2ORCID,Fansler Sarah3ORCID,Chu Rosalie1ORCID,Danczak Robert1,Garcia Marci1,Goldman Amy1ORCID,Graham Emily1ORCID,Kaufman Matthew1,Ren Huiying1,Renteria Lupita1,Sandborn Daniel4ORCID,Song Hyun-Seob5ORCID,Willi Katie6,Ross Matt6,Torgeson Joshua1,Toyoda Jason7ORCID

Affiliation:

1. Pacific Northwest National Laboratory

2. Kansas State University

3. Pacific Northwest National Lab

4. University of Minnesota Duluth

5. University of Nebraska-Lincoln

6. Colorado State University

7. Environmental Molecular Sciences Laboratory

Abstract

Abstract Thermodynamic properties of dissolved organic matter (DOM) influence river biogeochemistry. Using these properties to predict biogeochemical rates across rivers requires knowledge of how they vary. We employed mass spectrometry to quantify three DOM thermodynamic properties mechanistically linked to microbial respiration and biomass growth. We estimated these properties for each identified molecule in over 500 water and sediment samples from freshwater and saline rivers spanning diverse biomes. DOM thermodynamic properties exhibited continental-scale spatial gradients associated with climate and land-cover. Theory predicts relationships among the three properties. Observed inter-property relationships diverged from these predictions, but were consistent across continents. We infer that while there is variation in DOM thermodynamic properties across rivers--associated with climate and land cover--quantitative shifts in any one property are mechanistically linked to shifts in the other properties, leading to highly constrained inter-property relationships that persist across diverse rivers. Given the broad extent of sampled rivers, we suggest the observed inter-property relationships may hold across all rivers. Models that predict river biogeochemistry via DOM thermodynamic properties can use patterns observed here as inputs and constraints.

Publisher

Research Square Platform LLC

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