3 Works

Data from: Root responses to elevated CO2, warming, and irrigation in a semi-arid grassland: integrating biomass, length, and life span in a 5‐year field experiment

Kevin E. Mueller, Daniel R. LeCain, M. Luke McCormack, Elise Pendall, Mary Carlson & Dana M. Blumenthal
1.Plant roots mediate the impacts of environmental change on ecosystems, yet knowledge of root responses to environmental change is limited because few experiments evaluate multiple environmental factors and their interactions. Inferences about root functions are also limited because root length dynamics are rarely measured. 2.Using a five‐year experiment in a mixed‐grass prairie, we report the responses of root biomass, length, and lifespan to elevated carbon dioxide (CO2), warming, elevated CO2 and warming combined, and irrigation....

Data from: Elevated CO2 and water addition enhance nitrogen turnover in grassland plants with implications for temporal stability

Feike A. Dijkstra, Yolima Carrillo, Dana M. Blumenthal, Kevin E. Mueller, Daniel R. LeCain, Jack A. Morgan, Tamara J. Zelikova, David G. Williams, Ronald F. Follett, Elise Pendall & Dan R. LeCain
Temporal variation in soil nitrogen (N) availability affects growth of grassland communities that differ in their use and reuse of N. In a seven-year-long climate change experiment in a semiarid grassland, the temporal stability of plant biomass production varied with plant N turnover (reliance on externally acquired N relative to internally recycled N). Species with high N turnover were less stable in time compared to species with low N turnover. In contrast, N turnover at...

Data from: Advancing risk assessment: mechanistic dose–response modelling of Listeria monocytogenes infection in human populations

Ashrafur Rahman, Daniel Munther, Aamir Fazil, Ben Smith & Jianhong Wu
The utility of characterizing the effects of strain variation and individual/subgroup susceptibility on dose-response outcomes has motivated the search for new approaches beyond the popular use of the exponential dose-response model for listeriosis. While descriptive models can account for such variation, they have limited power to extrapolate beyond the details of particular outbreaks. In contrast, this study exhibits dose-response relationships from a mechanistic basis, quantifying key biological factors involved in pathogen-host dynamics. An efficient computational...

Registration Year

  • 2018
    3

Resource Types

  • Dataset
    3

Affiliations

  • Cleveland State University
    3
  • United States Department of Agriculture
    2
  • Western Sydney University
    2
  • University of Wyoming
    1
  • University of Minnesota
    1
  • Public Health Agency of Canada
    1
  • University of Sydney
    1
  • York University
    1