WHONDRS: a Community Resource for Studying Dynamic River Corridors

Stegen, James C.; Goldman, Amy

doi:10.1128/msystems.00151-18

Cited by 35 publications

(39 citation statements)

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“…The capability of our method that incorporates highresolution mass spectrometry (or OM characterization methods) data into biogeochemical modeling greatly facilitates other research programs in the field that collect OM chemistry datasets. The Worldwide Hydrobiogeochemistry Observation Network for Dynamic River Systems (WHONDRS), for example, is a global research consortium that aims at understanding crossscale dynamic interactions among hydrology, biogeochemistry, and microbiology in river corridors (Stegen and Goldman, 2018). As an initial effort, WHONDRS provides the collection of highresolution OM profiles such as FTICR-MS data across rivers in the world (Stegen et al, 2018a;Chu et al, 2019;Danczak et al, 2019Danczak et al, , 2020Garayburu-Caruso et al, 2019;Goldman et al, 2019;Renteria et al, 2019;Stegen et al, 2019;Wells et al, 2019).…”

Section: Discussionmentioning

confidence: 99%

Representing Organic Matter Thermodynamics in Biogeochemical Reactions via Substrate-Explicit Modeling

et al. 2020

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Section: Discussionmentioning

confidence: 99%

Representing Organic Matter Thermodynamics in Biogeochemical Reactions via Substrate-Explicit Modeling

et al. 2020

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“…The capability of our method that incorporates high-resolution mass spectrometry (or OM characterization methods) data into biogeochemical modeling greatly facilitates other research programs in the field that collect OM chemistry datasets. The Worldwide Hydrobiogeochemistry Observation Network for Dynamic River Systems (WHONDRS), for example, is a global research consortium that aims at understanding cross-scale dynamic interactions among hydrology, biogeochemistry, and microbiology in river corridors (Stegen and Goldman, 2018). As an initial effort, WHONDRS provides the collection of high-resolution OM profiles such as FTICR-MS data across rivers in the world (Stegen et al, 2018a;Chu et al, 2019;Danczak et al, 2019;Garayburu-Caruso et al, 2019;Goldman et al, 2019;Renteria et al, 2019;Stegen et al, 2019;Wells et al, 2019;Danczak et al, 2020).…”

Section: Dicussionmentioning

confidence: 99%

Representing Organic Matter Thermodynamics in Biogeochemical Reactions via Substrate-Explicit Modeling

Song

Stegen

Graham

et al. 2020

Preprint

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Predictive biogeochemical modeling requires data-model integration that enables explicit representation of the sophisticated roles of microbial processes that transform substrates. Data from high-resolution organic matter (OM) characterization are increasingly available and can serve as a critical resource for this purpose, but their incorporation into biogeochemical models is often prohibited due to an over-simplified description of reaction networks. To fill this gap, we proposed a new concept of biogeochemical modeling-termed substrate-explicit modeling-that enables parameterizing OM-specific oxidative degradation pathways and reaction rates based on the thermodynamic properties of OM pools. The resulting kinetic models are characterized by only two parameters regardless of the complexity of OM profiles, which can greatly facilitate the integration with reactive transport models for ecosystem simulations by alleviating the difficulty in parameter identification. For every detected organic molecule in a given sample, our approach provides a systematic way to formulate reaction kinetics from chemical formula, which enables the evaluation of the impact of OM character on biogeochemical processes across conditions. In a case study of two sites with distinct OM thermodynamics, our method not only predicted oxidative degradation to be primarily driven by thermodynamic efficiency of OM consistent with experimental rate measurements, but also revealed previously unknown critically important aspects of biogeochemical reactions, including their condition-specific response to carbon and/or oxygen limitations. Lastly, we showed that the proposed substrate-explicit modeling approach can be synergistically combined with enzyme-explicit approach to provide improved predictions. This result led us to present integrative biogeochemical modeling as a unifying framework that can ideally describe the dynamic interplay among microbes, enzymes, and substrates to address advanced questions and hypotheses in future studies. Altogether, the new modeling concept we propose in this work provides a foundational platform for unprecedented predictions of biogeochemical and ecosystem dynamics through enhanced integration with diverse experimental data and extant modeling approaches.

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“…Related efforts do exist, however, that could be leveraged. For example, the Worldwide Hydrobiogeochemistry Observation Network for Dynamic River Systems (WHONDRS) uses a coordinated, open, and distributed science approach to study the biogeochemistry, microbiology, and hydrology of dynamic river corridors, including dam-impacted systems (Stegen and Goldman, 2018). The '1000 intermittent rivers project' is another example of a distributed science approach with an emphasis on the functioning of dynamic river corridors (Datry et al, 2018).…”

Section: Resultsmentioning

confidence: 99%

Subsurface biogeochemistry is a missing link between ecology and hydrology in dam-impacted river corridors

Graham

Stegen

Huang

et al. 2018

Preprint

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Global investment in hydropower is rapidly increasing, fueled by a need to manage water availability and by incentives promoting renewable energy sources. This expansion poses unrecognized risks to the world’s vulnerable freshwaters. While many hydropower impacts have been investigated, dam-induced alterations to subsurface processes influence river corridor ecosystem health in ways that remain poorly understood. We advocate for a better understanding of dam impacts on subsurface biogeochemical activity, its connection to hydrology, and follow-on trophic cascades within the broader river corridor. We delineate an integrated view of hydropower impacts in which dam-induced changes to surface water flow regimes generate changes in surface-subsurface hydrologic exchange flows (HEFs) that subsequently (1) regulate resource availability for benthic microorganisms at the base of aquatic food webs and (2) impose kinetic constraints on biogeochemical reactions and organismal growth across a range of trophic levels. These HEF-driven effects on river corridor food webs, as mediated by subsurface biogeochemistry, are a key knowledge gap in our assessment of hydropower sustainability and putatively combine with other, more well-known dam impacts to result in significant changes to river corridor health. We suggest targeted laboratory and field-based studies to link hydrobiogeochemical models used to predict heat transport, biogeochemical rates, and hydrologic flow with ecological models that incorporate biomass changes in specific categories of organisms. Doing so will enable predictions of feedbacks among hydrology, temperature, biogeochemical rates, organismal abundances, and resource transfer across trophic levels. An understanding of dam impacts on subsurface hydrobiogeochemistry and its connection to the broader aquatic food web is fundamental to enabling mechanism-based decision making for sustainable hydropower operations.

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WHONDRS: a Community Resource for Studying Dynamic River Corridors

Cited by 35 publications

References 0 publications

Representing Organic Matter Thermodynamics in Biogeochemical Reactions via Substrate-Explicit Modeling

Representing Organic Matter Thermodynamics in Biogeochemical Reactions via Substrate-Explicit Modeling

Representing Organic Matter Thermodynamics in Biogeochemical Reactions via Substrate-Explicit Modeling

Subsurface biogeochemistry is a missing link between ecology and hydrology in dam-impacted river corridors

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