The datasets include time series of groundwater stages for 22 wells and time series of rainfall f... more The datasets include time series of groundwater stages for 22 wells and time series of rainfall for low and high elevation rain gauges collected at the Coweeta Hydrologic Lab, Otto, NC. These dataset accompany the manuscript published in Water Resources Research. The relevant details regarding datasets can be gleaned from the Methods section of the manuscript.
The feedbacks between the water and the carbon cycles are of critical importance to global carbon... more The feedbacks between the water and the carbon cycles are of critical importance to global carbon balances. Forests and forest soils in northern latitudes are important carbon pools because of their potential as sinks for atmospheric carbon. However there are significant unknowns related to the effects of hydrologic variability, mountainous terrain, and landscape heterogeneity in controlling soil carbon dioxide (CO2) efflux. Mountainous terrain imposes large spatial heterogeneity in the biophysical controls of soil CO2 production and efflux, including soil temperature, soil water content, vegetation, substrate, and soil physical properties. Further complications are introduced by the superimposed temporal heterogeneity (i.e., the asynchronous response of each variable to changes in environmental conditions). As a result, extrapolating from single- or multiple-point measurements to larger areas requires understanding of the emerging patterns controlled by the underlying spatiotempora...
ABSTRACT We seek to link distributed point and flux tower measurements with watershed scale model... more ABSTRACT We seek to link distributed point and flux tower measurements with watershed scale modeling approaches to bridge traditional gaps in research and understanding in C generation and flux. Our research site is the US Forest Service's Tenderfoot Creek Experimental Forest (TCEF), located in the Little Belt Mountains of central MT. We have built extensive distributed infrastructure including 168 soil gas wells, 62 temperature-moisture- CO2 flux plots, 75 groundwater wells and piezometers, 4 real-time moisture-temperature- CO2 gradient flux plots, and 2 CO2 and H2O eddy-covariance flux towers. This new (2005) instrumentation is concentrated in the 550 ha Stringer Creek watershed, one of 7 sub-watersheds nested within the greater TCEF, that contains 2 SNOTEL sites and 7 stream gauges and more than 12 years of historical data. In addition we have recently acquired airborne laser swath mapping (ALSM) topography data at ~1m resolution that also contains significant information on vegetation structure and density. This level of infrastructure, existing data, and data acquisition potential is available in few, if any, locations throughout the world. We seek to use this infrastructure to understand the dynamics of carbon exchange and processing between aquatic, terrestrial, and atmospheric systems at the plot, patch, and catchment scale. Specifically, we are1) quantifying soil air CO2 concentration and surface efflux heterogeneity across space and time, and determining associated temperature, moisture, substrate, and biological controls on CO2 regimes. 2) We are refining and applying a distributed simulation model of catchment respiration. 3) We are determining the strength of the communication between terrestrial C reservoirs and aquatic systems by characterizing C cycling and fate during stream transport at the stream network scale, as a function of channel-atmosphere interactions, groundwater-surface water interactions (hyporheic interactions and discharge gains), and aquatic ecosystem respiration. 4) We are using eddy covariance systems to examine the controls of both vegetation type and climate on net ecosystem exchange of carbon and water. 5) Lastly, we seek to couple the recently acquired topographic data at fine spatial scales to the simulation model for extrapolating carbon and water fluxes and transformations across the entire watershed; validating with existing flux tower data and other ground measurements. We believe that this scaling approach is unprecedented in carbon cycle research, yet necessary for continued progress as we seek to understand the relationships between process dynamics and landscape level response.
The datasets include time series of groundwater stages for 22 wells and time series of rainfall f... more The datasets include time series of groundwater stages for 22 wells and time series of rainfall for low and high elevation rain gauges collected at the Coweeta Hydrologic Lab, Otto, NC. These dataset accompany the manuscript published in Water Resources Research. The relevant details regarding datasets can be gleaned from the Methods section of the manuscript.
The feedbacks between the water and the carbon cycles are of critical importance to global carbon... more The feedbacks between the water and the carbon cycles are of critical importance to global carbon balances. Forests and forest soils in northern latitudes are important carbon pools because of their potential as sinks for atmospheric carbon. However there are significant unknowns related to the effects of hydrologic variability, mountainous terrain, and landscape heterogeneity in controlling soil carbon dioxide (CO2) efflux. Mountainous terrain imposes large spatial heterogeneity in the biophysical controls of soil CO2 production and efflux, including soil temperature, soil water content, vegetation, substrate, and soil physical properties. Further complications are introduced by the superimposed temporal heterogeneity (i.e., the asynchronous response of each variable to changes in environmental conditions). As a result, extrapolating from single- or multiple-point measurements to larger areas requires understanding of the emerging patterns controlled by the underlying spatiotempora...
ABSTRACT We seek to link distributed point and flux tower measurements with watershed scale model... more ABSTRACT We seek to link distributed point and flux tower measurements with watershed scale modeling approaches to bridge traditional gaps in research and understanding in C generation and flux. Our research site is the US Forest Service's Tenderfoot Creek Experimental Forest (TCEF), located in the Little Belt Mountains of central MT. We have built extensive distributed infrastructure including 168 soil gas wells, 62 temperature-moisture- CO2 flux plots, 75 groundwater wells and piezometers, 4 real-time moisture-temperature- CO2 gradient flux plots, and 2 CO2 and H2O eddy-covariance flux towers. This new (2005) instrumentation is concentrated in the 550 ha Stringer Creek watershed, one of 7 sub-watersheds nested within the greater TCEF, that contains 2 SNOTEL sites and 7 stream gauges and more than 12 years of historical data. In addition we have recently acquired airborne laser swath mapping (ALSM) topography data at ~1m resolution that also contains significant information on vegetation structure and density. This level of infrastructure, existing data, and data acquisition potential is available in few, if any, locations throughout the world. We seek to use this infrastructure to understand the dynamics of carbon exchange and processing between aquatic, terrestrial, and atmospheric systems at the plot, patch, and catchment scale. Specifically, we are1) quantifying soil air CO2 concentration and surface efflux heterogeneity across space and time, and determining associated temperature, moisture, substrate, and biological controls on CO2 regimes. 2) We are refining and applying a distributed simulation model of catchment respiration. 3) We are determining the strength of the communication between terrestrial C reservoirs and aquatic systems by characterizing C cycling and fate during stream transport at the stream network scale, as a function of channel-atmosphere interactions, groundwater-surface water interactions (hyporheic interactions and discharge gains), and aquatic ecosystem respiration. 4) We are using eddy covariance systems to examine the controls of both vegetation type and climate on net ecosystem exchange of carbon and water. 5) Lastly, we seek to couple the recently acquired topographic data at fine spatial scales to the simulation model for extrapolating carbon and water fluxes and transformations across the entire watershed; validating with existing flux tower data and other ground measurements. We believe that this scaling approach is unprecedented in carbon cycle research, yet necessary for continued progress as we seek to understand the relationships between process dynamics and landscape level response.
Uploads
Papers by Brian McGlynn