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NIMBioS Postdoctoral Fellow

Lauren Smith-Ramesh

Lauren Smith-Ramesh photo. Dates: October 2016 - present
Phone: 865-974-4980
Personal website
Project Title: Invasive plants in a food-web context: Indirect effects on native communities and ecosystems

Lauren Smith-Ramesh (Biology, Indiana Univ., 2014) is investigating invasive plants in a food-web context and the direct and indirect effects to native communities and ecosystems.

NIMBioS Profile: Q&A with Dr. Smith-Ramesh

NIMBioS Seminar: Placing species invasions in a food web context: A new twist on old invasion hypotheses
Video icon.Watch seminar online.

Video Interview: Food webs and species invasions

Publications while at NIMBioS

  • Delavaux CS, Smith-Ramesh LM, Kuebbing SE. 2017. Beyond nutrients: a meta-analysis of the diverse effects of arbuscular mycorrhizal fungi on plants and soils. Ecology, 8(98): 2111. [Online]
  • Smith-Ramesh LM. In press. Book Review: Leslie Anthony, The aliens among us: How invasive species are transforming the planet – and ourselves. Biological Invasions.
  • Delavaux CS, Smith-Ramesh LM, and Kuebbing SE. In press. Beyond nutrients: A meta-analysis of the diverse effects of arbuscular mycorrhizal fungi on plants and soils. Ecology. [Online]
  • Smith-Ramesh LM. 2017. Invasive plant alters community and ecosystem dynamics by promoting native predators. Ecology. doi:10.1002/ecy.168. [Online]
  • Smith-Ramesh LM, Reynolds HL. 2017. The next frontier of plant-soil feedback research: unraveling context dependence across biotic and abiotic gradients. Journal of Vegetation Science. [Online]

Presentations while at NIMBioS

  • Smith-Ramesh, LM. April 2017. Food web properties and the causes and consequences of species invasions. American Mathematical Society Central Sectional Meeting, Bloomington, Indiana.

Media Coverage

Main NIMBioS Postdoc page

1122 Volunteer Blvd., Suite 106
University of Tennessee
Knoxville, TN 37996-3410
PH: (865) 974-9334
FAX: (865) 974-9300
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NSF logo. NIMBioS is sponsored by the National Science Foundation through NSF Award #DBI-1300426, with additional support from The University of Tennessee, Knoxville. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
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