Publications by authors named "Tyler Roman"

Eddy covariance (EC) measurements of ecosystem-atmosphere carbon dioxide (CO) exchange provide the most direct assessment of the terrestrial carbon cycle. Measurement biases for open-path (OP) CO concentration and flux measurements have been reported for over 30 years, but their origin and appropriate correction approach remain unresolved. Here, we quantify the impacts of OP biases on carbon and radiative forcing budgets for a sub-boreal wetland.

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Article Synopsis
  • The study uses airborne measurements across different seasons to analyze methane emissions in the US Corn Belt and Upper Midwest, focusing on natural and anthropogenic sources.
  • It finds that wetlands are the largest methane source, while livestock contribute significantly as the major human-related source, with implications for emission management.
  • The research highlights discrepancies in methane estimates from different agricultural practices and suggests improvements in management strategies for livestock to effectively mitigate emissions.
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Peatlands are among the largest natural sources of atmospheric methane (CH) worldwide. Peatland emissions are projected to increase under climate change, as rising temperatures and shifting precipitation accelerate microbial metabolic pathways favorable for CH production. However, how these changing environmental factors will impact peatland emissions over the long term remains unknown.

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Wetlands represent the dominant natural source of methane (CH) to the atmosphere. Thus, substantial effort has been spent examining the CH budgets of global wetlands continuous ecosystem-scale measurements using the eddy covariance (EC) technique. Robust error characterization for such measurements, however, remains a major challenge.

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Species-specific responses of plant intrinsic water-use efficiency (iWUE) to multiple environmental drivers associated with climate change, including soil moisture (θ), vapor pressure deficit (D), and atmospheric CO concentration (c ), are poorly understood. We assessed how the iWUE and growth of several species of deciduous trees that span a gradient of isohydric to anisohydric water-use strategies respond to key environmental drivers (θ, D and c ). iWUE was calculated for individual tree species using leaf-level gas exchange and tree-ring δ C in wood measurements, and for the whole forest using the eddy covariance method.

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Predicting the impact of drought on forest ecosystem processes requires an understanding of trees' species-specific responses to drought, especially in the Eastern USA, where species composition is highly dynamic due to historical changes in land use and fire regime. Here, we adapted a framework that classifies trees' water-use strategy along the spectrum of isohydric to anisohydric behavior to determine the responses of three canopy-dominant species to drought. We used a collection of leaf-level gas exchange, tree-level sap flux and stand-level eddy covariance data collected in south-central Indiana from 2011 to 2013, which included an unusually severe drought in the summer of 2012.

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