Climatic and landscape controls on water transit times and silicate mineral weathering in the critical zone

The critical zone (CZ) can be conceptualized as an open system reactor that is continually transforming energy and water fluxes into an internal structural organization and dissipative products. In this study, we test a controlling factor on water transit times (WTT) and mineral weathering called Effective Energy and Mass Transfer (EEMT). We hypothesize that EEMT, quantified based on local climatic variables, can effectively predict WTT within—and mineral weathering products from—the CZ. This study tests whether EEMT or static landscape characteristics are good predictors of WTT, aqueous phase solutes, and silicate weathering products. Our study site is located around Redondo Peak, a rhyolitic volcanic resurgent dome, in northern New Mexico. At Redondo Peak, springs drain slopes along an energy gradient created by differences in terrain aspect. This investigation uses major solute concentrations, the calculated mineral mass undergoing dissolution, and the age tracer tritium and relates them quantitatively to EEMT and landscape characteristics. We found significant correlations between EEMT, WTT, and mineral weathering products. Significant correlations were observed between dissolved weathering products (Na+ and DIC), 3H concentrations, and maximum EEMT. In contrast, landscape characteristics such as contributing area of spring, slope gradient, elevation, and flow path length were not as effective predictive variables of WTT, solute concentrations, and mineral weathering products. These results highlight the interrelationship between landscape, hydrological, and biogeochemical processes and suggest that basic climatic data embodied in EEMT can be used to scale hydrological and hydrochemical responses in other sites.

[1]  L. N. Plummer,et al.  Evolution of groundwater age in a mountain watershed over a period of thirteen years , 2012 .

[2]  M. Velbel,et al.  Solute geochemical mass-balances and mineral weathering rates in small watersheds: Methodology, recent advances, and future directions , 2007 .

[3]  Jonathan D. Phillips,et al.  Biological energy in landscape evolution , 2009, American Journal of Science.

[4]  Malcolm K. Hughes,et al.  The climate of the US Southwest , 2002 .

[5]  J. Kirchner,et al.  Concentration–discharge relationships reflect chemostatic characteristics of US catchments , 2009 .

[6]  J. Pelletier,et al.  Rare earth elements as reactive tracers of biogeochemical weathering in forested rhyolitic terrain , 2015 .

[7]  I. Creed,et al.  Prediction of groundwater characteristics in forested and harvested basins during spring snowmelt using a topographic index , 2001 .

[8]  Bridget R. Scanlon,et al.  Uncertainties in estimating water fluxes and residence times using environmental tracers in an arid unsaturated zone , 2000 .

[9]  H. Jenny Factors of Soil Formation: A System of Quantitative Pedology , 2011 .

[10]  Susan L. Brantley,et al.  Crossing Disciplines and Scales to Understand the Critical Zone , 2007 .

[11]  C. Alewell,et al.  Relating stable isotope and geochemical data to conclude on water residence times in four small alpine headwater catchments with differing vegetation cover , 2012 .

[12]  C. Rasmussen,et al.  Linking soil element-mass-transfer to microscale mineral weathering across a semiarid environmental gradient , 2014 .

[13]  D. Russell Staying Flexible: Tissue Remodelling Required for Folliculogenesis and Ovulation. , 2012 .

[14]  Lars Marklund,et al.  Fractal topography and subsurface water flows from fluvial bedforms to the continental shield , 2007 .

[15]  T. Givnish,et al.  Spatial and temporal patterns of recent forest encroachment in montane grasslands of the Valles Caldera, New Mexico, USA , 2007 .

[16]  Doerthe Tetzlaff,et al.  Scaling up and out in runoff process understanding: insights from nested experimental catchment studies , 2006 .

[17]  Peter A. Troch,et al.  How Water, Carbon, and Energy Drive Critical Zone Evolution: The Jemez–Santa Catalina Critical Zone Observatory , 2011 .

[18]  S. F. Richey,et al.  RIO GRANDE VALLEY, COLORADO, NEW MEXICO, AND TEXAS , 1993 .

[19]  J. McIntosh,et al.  Stream water carbon controls in seasonally snow-covered mountain catchments: impact of inter-annual variability of water fluxes, catchment aspect and seasonal processes , 2014, Biogeochemistry.

[20]  Craig Rasmussen,et al.  Technical Note: A comparison of model and empirical measures of catchment-scale effective energy and mass transfer , 2013 .

[21]  M. Mast,et al.  Processes Controlling the Chemistry of Two Snowmelt‐Dominated Streams in the Rocky Mountains , 1995 .

[22]  R. Berner Chapter 13. CHEMICAL WEATHERING AND ITS EFFECT ON ATMOSPHERIC CO2 AND CLIMATE , 1995 .

[23]  T. Huntington,et al.  Differential rates of feldspar weathering in granitic regoliths , 2001 .

[24]  N. Molotch,et al.  Estimating snow sublimation using natural chemical and isotopic tracers across a gradient of solar radiation , 2010 .

[25]  C. Chamberlain,et al.  Hydrologic Regulation of Chemical Weathering and the Geologic Carbon Cycle , 2014, Science.

[26]  J. Kania,et al.  On some methodological problems in the use of environmental tracers to estimate hydrogeologic parameters and to calibrate flow and transport models , 2011 .

[27]  Peter A. Troch,et al.  Quantifying Topographic and Vegetation Effects on the Transfer of Energy and Mass to the Critical Zone , 2015 .

[28]  E. Runge,et al.  SOIL DEVELOPMENT SEQUENCES AND ENERGY MODELS , 1973 .

[29]  Peter A. Troch,et al.  An open system framework for integrating critical zone structure and function , 2011 .

[30]  O. Bricker Geochemical investigations of selected Eastern United States watersheds1 affected by acid deposition , 1986, Journal of the Geological Society.

[31]  Erwin Zehe,et al.  Chapter 8: Thermodynamics limits of the critical zone and its relevance to hydropedology , 2012 .

[32]  Jeffrey J. McDonnell,et al.  On the relationships between catchment scale and streamwater mean residence time , 2003 .

[33]  D. C. Erman,et al.  Chemical evolution of shallow groundwater as recorded by springs, Sagehen basin; Nevada County, California , 2001 .

[34]  Robert Parmenter,et al.  Seasonal and interannual variation of streamflow pathways and biogeochemical implications in semi‐arid, forested catchments in Valles Caldera, New Mexico , 2008 .

[35]  J. McDonnell,et al.  A Review of Isotope Applications in Catchment Hydrology , 2005 .

[36]  C. Rasmussen,et al.  Applying a Quantitative Pedogenic Energy Model across a Range of Environmental Gradients , 2007 .

[37]  Anne Probst,et al.  Modelling weathering processes at the catchment scale: The WITCH numerical model , 2006 .

[38]  Richard P. Hooper,et al.  Modelling streamwater chemistry as a mixture of soilwater end-members ― an application to the Panola Mountain catchment, Georgia, U.S.A. , 1990 .

[39]  R. Bales,et al.  Streamflow generation from snowmelt in semi‐arid, seasonally snow‐covered, forested catchments, Valles Caldera, New Mexico , 2008 .

[40]  J. Allison,et al.  MINTEQA2/PRODEFA2, a geochemical assessment model for environmental systems: Version 3. 0 user's manual , 1991 .

[41]  Kate Maher,et al.  The dependence of chemical weathering rates on fluid residence time , 2009 .

[42]  Russell K. Monson,et al.  Ecohydrological controls on snowmelt partitioning in mixed‐conifer sub‐alpine forests , 2009 .

[43]  M. Stewart,et al.  Dating of streamwater using tritium in a post nuclear bomb pulse world: continuous variation of mean transit time with streamflow , 2010 .

[44]  P. Troch,et al.  On the role of aspect to quantify water transit times in small mountainous catchments , 2009 .

[45]  C. Daly,et al.  Physiographically sensitive mapping of climatological temperature and precipitation across the conterminous United States , 2008 .

[46]  J. Clark,et al.  Old groundwater influence on stream hydrochemistry and catchment response times in a small Sierra Nevada catchment: Sagehen Creek, California , 2005 .

[47]  L. N. Plummer,et al.  Age dating of shallow groundwater with chlorofluorocarbons, tritium/helium 3, and flow path analysis, southern New Jersey coastal plain , 1996 .

[48]  J. Welker,et al.  The role of topography on catchment‐scale water residence time , 2005 .

[49]  S. P. Anderson,et al.  Chemical weathering and runoff chemistry in a steep headwater catchment , 2001 .

[50]  J. Gardner,et al.  Reconstruction of the most recent volcanic eruptions from the Valles caldera, New Mexico , 2011 .

[51]  Xiao Chenchao,et al.  Terrain revised model for air temperature in mountainous area based on DEMs: A case study in Yaoxian county , 2007 .

[52]  Jeffrey J. McDonnell,et al.  Truncation of stream residence time: how the use of stable isotopes has skewed our concept of streamwater age and origin , 2010 .

[53]  Arden L. Buck,et al.  New Equations for Computing Vapor Pressure and Enhancement Factor , 1981 .

[54]  E. Gabet,et al.  Hydrological controls on chemical weathering rates at the soil-bedrock interface , 2006 .

[55]  J. Drever,et al.  The geochemistry of natural waters , 1988 .

[56]  Keith Beven,et al.  The Geochemical Evolution of Riparian Ground Water in a Forested Piedmont Catchment , 2003 .

[57]  C. Rasmussen,et al.  Thermodynamic constraints on effective energy and mass transfer and catchment function , 2011 .

[58]  Kate Maher,et al.  The role of fluid residence time and topographic scales in determining chemical fluxes from landscapes , 2011 .

[59]  Craig Rasmussen,et al.  Modeling energy inputs to predict pedogenic environments using regional environmental databases , 2005 .

[60]  C. J. Watts,et al.  Future Use of Tritium in Mapping Pre‐Bomb Groundwater Volumes , 2012, Ground water.

[61]  Pascale M. Biron,et al.  The effects of antecedent moisture conditions on the relationship of hydrology to hydrochemistry in a small forested watershed , 1999 .

[62]  H. Lieth Modeling the Primary Productivity of the World , 1975 .

[63]  Neil E. Smeck,et al.  Chapter 3 - Dynamics and Genetic Modelling of Soil Systems , 1983 .

[64]  N. Molotch,et al.  Monitoring the timing of snowmelt and the initiation of streamflow using a distributed network of temperature/light sensors , 2008 .

[65]  M. Velbel Constancy of silicate-mineral weathering-rate ratios between natural and experimental weathering: implications for hydrologic control of differences in absolute rates , 1993 .

[66]  C. Soulsby,et al.  Stable isotope tracers as diagnostic tools in upscaling flow path understanding and residence time estimates in a mountainous mesoscale catchment , 2005 .

[67]  J. McDonnell,et al.  A review and evaluation of catchment transit time modeling , 2006 .

[68]  Doerthe Tetzlaff,et al.  How does landscape structure influence catchment transit time across different geomorphic provinces? , 2009 .

[69]  S. Brantley,et al.  The effect of time on the weathering of silicate minerals: why do weathering rates differ in the laboratory and field? , 2003 .

[70]  R. Garrels,et al.  The carbonate-silicate geochemical cycle and its effect on atmospheric carbon dioxide over the past 100 million years , 1983 .