Expanding the role of reactive transport models in critical zone processes

Li Li, Kate Maher, Alexis Navarre-Sitchler, Jenny Druhan, Christof Meile, Corey Lawrence, Joel Moore, Julia Perdrial, Pamela Sullivan, Aaron Thompson, Lixin Jin, Edward W. Bolton, Susan L. Brantley, William E. Dietrich, K. Ulrich Mayer, Carl I. Steefel, Albert Valocchi, John Zachara, Benjamin Kocar, Jennifer McintoshBenjamin M. Tutolo, Mukesh Kumar, Eric Sonnenthal, Chen Bao, Joe Beisman

Research output: Contribution to journalReview article

56 Citations (Scopus)

Abstract

Models test our understanding of processes and can reach beyond the spatial and temporal scales of measurements. Multi-component Reactive Transport Models (RTMs), initially developed more than three decades ago, have been used extensively to explore the interactions of geothermal, hydrologic, geochemical, and geobiological processes in subsurface systems. Driven by extensive data sets now available from intensive measurement efforts, there is a pressing need to couple RTMs with other community models to explore non-linear interactions among the atmosphere, hydrosphere, biosphere, and geosphere. Here we briefly review the history of RTM development, summarize the current state of RTM approaches, and identify new research directions, opportunities, and infrastructure needs to broaden the use of RTMs. In particular, we envision the expanded use of RTMs in advancing process understanding in the Critical Zone, the veneer of the Earth that extends from the top of vegetation to the bottom of groundwater. We argue that, although parsimonious models are essential at larger scales, process-based models offer tools to explore the highly nonlinear coupling that characterizes natural systems. We present seven testable hypotheses that emphasize the unique capabilities of process-based RTMs for (1) elucidating chemical weathering and its physical and biogeochemical drivers; (2) understanding the interactions among roots, micro-organisms, carbon, water, and minerals in the rhizosphere; (3) assessing the effects of heterogeneity across spatial and temporal scales; and (4) integrating the vast quantity of novel data, including “omics” data (genomics, transcriptomics, proteomics, metabolomics), elemental concentration and speciation data, and isotope data into our understanding of complex earth surface systems. With strong support from data-driven sciences, we are now in an exciting era where integration of RTM framework into other community models will facilitate process understanding across disciplines and across scales.

Original languageEnglish (US)
Pages (from-to)280-301
Number of pages22
JournalEarth-Science Reviews
Volume165
DOIs
StatePublished - Feb 1 2017

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reactive transport
hydrosphere
proteomics
chemical weathering
model test
biosphere
rhizosphere
genomics
infrastructure
isotope

All Science Journal Classification (ASJC) codes

  • Earth and Planetary Sciences(all)

Cite this

Li, L., Maher, K., Navarre-Sitchler, A., Druhan, J., Meile, C., Lawrence, C., ... Beisman, J. (2017). Expanding the role of reactive transport models in critical zone processes. Earth-Science Reviews, 165, 280-301. https://doi.org/10.1016/j.earscirev.2016.09.001
Li, Li ; Maher, Kate ; Navarre-Sitchler, Alexis ; Druhan, Jenny ; Meile, Christof ; Lawrence, Corey ; Moore, Joel ; Perdrial, Julia ; Sullivan, Pamela ; Thompson, Aaron ; Jin, Lixin ; Bolton, Edward W. ; Brantley, Susan L. ; Dietrich, William E. ; Mayer, K. Ulrich ; Steefel, Carl I. ; Valocchi, Albert ; Zachara, John ; Kocar, Benjamin ; Mcintosh, Jennifer ; Tutolo, Benjamin M. ; Kumar, Mukesh ; Sonnenthal, Eric ; Bao, Chen ; Beisman, Joe. / Expanding the role of reactive transport models in critical zone processes. In: Earth-Science Reviews. 2017 ; Vol. 165. pp. 280-301.
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abstract = "Models test our understanding of processes and can reach beyond the spatial and temporal scales of measurements. Multi-component Reactive Transport Models (RTMs), initially developed more than three decades ago, have been used extensively to explore the interactions of geothermal, hydrologic, geochemical, and geobiological processes in subsurface systems. Driven by extensive data sets now available from intensive measurement efforts, there is a pressing need to couple RTMs with other community models to explore non-linear interactions among the atmosphere, hydrosphere, biosphere, and geosphere. Here we briefly review the history of RTM development, summarize the current state of RTM approaches, and identify new research directions, opportunities, and infrastructure needs to broaden the use of RTMs. In particular, we envision the expanded use of RTMs in advancing process understanding in the Critical Zone, the veneer of the Earth that extends from the top of vegetation to the bottom of groundwater. We argue that, although parsimonious models are essential at larger scales, process-based models offer tools to explore the highly nonlinear coupling that characterizes natural systems. We present seven testable hypotheses that emphasize the unique capabilities of process-based RTMs for (1) elucidating chemical weathering and its physical and biogeochemical drivers; (2) understanding the interactions among roots, micro-organisms, carbon, water, and minerals in the rhizosphere; (3) assessing the effects of heterogeneity across spatial and temporal scales; and (4) integrating the vast quantity of novel data, including “omics” data (genomics, transcriptomics, proteomics, metabolomics), elemental concentration and speciation data, and isotope data into our understanding of complex earth surface systems. With strong support from data-driven sciences, we are now in an exciting era where integration of RTM framework into other community models will facilitate process understanding across disciplines and across scales.",
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Li, L, Maher, K, Navarre-Sitchler, A, Druhan, J, Meile, C, Lawrence, C, Moore, J, Perdrial, J, Sullivan, P, Thompson, A, Jin, L, Bolton, EW, Brantley, SL, Dietrich, WE, Mayer, KU, Steefel, CI, Valocchi, A, Zachara, J, Kocar, B, Mcintosh, J, Tutolo, BM, Kumar, M, Sonnenthal, E, Bao, C & Beisman, J 2017, 'Expanding the role of reactive transport models in critical zone processes', Earth-Science Reviews, vol. 165, pp. 280-301. https://doi.org/10.1016/j.earscirev.2016.09.001

Expanding the role of reactive transport models in critical zone processes. / Li, Li; Maher, Kate; Navarre-Sitchler, Alexis; Druhan, Jenny; Meile, Christof; Lawrence, Corey; Moore, Joel; Perdrial, Julia; Sullivan, Pamela; Thompson, Aaron; Jin, Lixin; Bolton, Edward W.; Brantley, Susan L.; Dietrich, William E.; Mayer, K. Ulrich; Steefel, Carl I.; Valocchi, Albert; Zachara, John; Kocar, Benjamin; Mcintosh, Jennifer; Tutolo, Benjamin M.; Kumar, Mukesh; Sonnenthal, Eric; Bao, Chen; Beisman, Joe.

In: Earth-Science Reviews, Vol. 165, 01.02.2017, p. 280-301.

Research output: Contribution to journalReview article

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T1 - Expanding the role of reactive transport models in critical zone processes

AU - Li, Li

AU - Maher, Kate

AU - Navarre-Sitchler, Alexis

AU - Druhan, Jenny

AU - Meile, Christof

AU - Lawrence, Corey

AU - Moore, Joel

AU - Perdrial, Julia

AU - Sullivan, Pamela

AU - Thompson, Aaron

AU - Jin, Lixin

AU - Bolton, Edward W.

AU - Brantley, Susan L.

AU - Dietrich, William E.

AU - Mayer, K. Ulrich

AU - Steefel, Carl I.

AU - Valocchi, Albert

AU - Zachara, John

AU - Kocar, Benjamin

AU - Mcintosh, Jennifer

AU - Tutolo, Benjamin M.

AU - Kumar, Mukesh

AU - Sonnenthal, Eric

AU - Bao, Chen

AU - Beisman, Joe

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N2 - Models test our understanding of processes and can reach beyond the spatial and temporal scales of measurements. Multi-component Reactive Transport Models (RTMs), initially developed more than three decades ago, have been used extensively to explore the interactions of geothermal, hydrologic, geochemical, and geobiological processes in subsurface systems. Driven by extensive data sets now available from intensive measurement efforts, there is a pressing need to couple RTMs with other community models to explore non-linear interactions among the atmosphere, hydrosphere, biosphere, and geosphere. Here we briefly review the history of RTM development, summarize the current state of RTM approaches, and identify new research directions, opportunities, and infrastructure needs to broaden the use of RTMs. In particular, we envision the expanded use of RTMs in advancing process understanding in the Critical Zone, the veneer of the Earth that extends from the top of vegetation to the bottom of groundwater. We argue that, although parsimonious models are essential at larger scales, process-based models offer tools to explore the highly nonlinear coupling that characterizes natural systems. We present seven testable hypotheses that emphasize the unique capabilities of process-based RTMs for (1) elucidating chemical weathering and its physical and biogeochemical drivers; (2) understanding the interactions among roots, micro-organisms, carbon, water, and minerals in the rhizosphere; (3) assessing the effects of heterogeneity across spatial and temporal scales; and (4) integrating the vast quantity of novel data, including “omics” data (genomics, transcriptomics, proteomics, metabolomics), elemental concentration and speciation data, and isotope data into our understanding of complex earth surface systems. With strong support from data-driven sciences, we are now in an exciting era where integration of RTM framework into other community models will facilitate process understanding across disciplines and across scales.

AB - Models test our understanding of processes and can reach beyond the spatial and temporal scales of measurements. Multi-component Reactive Transport Models (RTMs), initially developed more than three decades ago, have been used extensively to explore the interactions of geothermal, hydrologic, geochemical, and geobiological processes in subsurface systems. Driven by extensive data sets now available from intensive measurement efforts, there is a pressing need to couple RTMs with other community models to explore non-linear interactions among the atmosphere, hydrosphere, biosphere, and geosphere. Here we briefly review the history of RTM development, summarize the current state of RTM approaches, and identify new research directions, opportunities, and infrastructure needs to broaden the use of RTMs. In particular, we envision the expanded use of RTMs in advancing process understanding in the Critical Zone, the veneer of the Earth that extends from the top of vegetation to the bottom of groundwater. We argue that, although parsimonious models are essential at larger scales, process-based models offer tools to explore the highly nonlinear coupling that characterizes natural systems. We present seven testable hypotheses that emphasize the unique capabilities of process-based RTMs for (1) elucidating chemical weathering and its physical and biogeochemical drivers; (2) understanding the interactions among roots, micro-organisms, carbon, water, and minerals in the rhizosphere; (3) assessing the effects of heterogeneity across spatial and temporal scales; and (4) integrating the vast quantity of novel data, including “omics” data (genomics, transcriptomics, proteomics, metabolomics), elemental concentration and speciation data, and isotope data into our understanding of complex earth surface systems. With strong support from data-driven sciences, we are now in an exciting era where integration of RTM framework into other community models will facilitate process understanding across disciplines and across scales.

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