Katya Kovalenko Ph.D.

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Professional Title
Research Associate

Research Interests

  • bioindicators of watershed-level stress
  • community thresholds and functional changes in response to anthropogenic stress
  • habitat complexity, its role in food web structure and community dynamics
  • reclamation of oil sands wetlands, with focus on ecosystem function
  • food web structure and carbon dynamics in wetland ecosystems
  • alternative stable states and non-linear dynamics, nutrient pulses
  • community and ecosystem effects of invasive species

Education

  • Postdoctoral, Ecology, University of Windsor, 2009-2013
  • Ph.D., Ecology, Mississippi State University, 2009
  • M.S., Fisheries/Statistics, Mississippi State University, 2001

Recent Publications

Constraints on the adjustment of tidal marshes to accelerating sea level rise

2 years 4 months ago
Constraints on the adjustment of tidal marshes to accelerating sea level riseSaintilan, N., Kovalenko, K. E., Guntenspergen, G., Rogers, K., Lynch, J. C., Cahoon, D. R., Lovelock, C. E., Friess, D. A., Ashe, E., Krauss, K. W., Cormier, N., Spencer, T., Adams, J., Raw, J., Ibanez, C., Scarton, F., Temmerman, S., Meire, P., Maris, T. & Thorne, K. & 13 others, Brazner, J., Chmura, G. L., Bowron, T., Gamage, V. P., Cressman, K., Endris, C., Marconi, C., Marcum, P., St. Laurent, K., Reay, W., Raposa, K. B., Garwood, J. A. & Khan, N., Jul 9 2022, In: Science. 377, 6605, p. 523-527 5 p.

Research output: Contribution to journal › Article › peer-review

Experimental Tree Mortality Does Not Induce Marsh Transgression in a Chesapeake Bay Low-Lying Coastal Forest

2 years 11 months ago
Experimental Tree Mortality Does Not Induce Marsh Transgression in a Chesapeake Bay Low-Lying Coastal ForestWalters, D. C., Carr, J. A., Hockaday, A., Jones, J. A., McFarland, E., Kovalenko, K. E., Kirwan, M. L., Cahoon, D. R. & Guntenspergen, G. R., Dec 10 2021, In: Frontiers in Marine Science. 8, 782643.

Research output: Contribution to journal › Article › peer-review

Featured Research Projects

The ForCAST tool attempts to provide forestry professionals and land managers with an opportunity to evaluate how a changing climate and changing markets might affect Minnesota’s forests and

The goal of this project was to develop a model that predicts potential beaver dam locations based on stream channel, watershed and habitat characteristics.

NRRI News Articles

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Scientists love their data. But tracking and sorting the ever-increasing amounts of data can be a time consuming effort. Enter the data wrangler.