2023 Early Hearing Detection & Intervention Conference

March 5-7, 2023 • Cincinnati, OH

<< BACK TO AGENDA

6/08/2017  |   9:15 AM - 9:30 AM   |  TEMPORAL TRENDS IN N, P, AND SILICA STOICHIOMETRY IN THE MISSISSIPPI RIVER BASIN SUGGEST INCREASINGLY FAVORABLE CONDITIONS FOR NON-SILICEOUS ALGAE AND CYANOBACTERIA   |  302B

TEMPORAL TRENDS IN N, P, AND SILICA STOICHIOMETRY IN THE MISSISSIPPI RIVER BASIN SUGGEST INCREASINGLY FAVORABLE CONDITIONS FOR NON-SILICEOUS ALGAE AND CYANOBACTERIA

Stoichiometric ratios of N, P, and dissolved silica (dSi) determine whether the response to nutrient loading is mainly by diatoms or by non-siliceous taxa, including cyanobacteria. The Indicator of Coastal Eutrophication Potential (ICEP), described previously by other researchers, predicts production by diatoms vs. non-siliceous taxa based on deviation from the Redfield ratio for diatoms under N-limited (N-ICEP) and P-limited (P-ICEP) conditions. I calculated N-ICEP and P-ICEP using USGS nutrient loads from 1980-2015 for the entirety of the Mississippi-Atchafalaya River basin, as well as four major sub-basins: the Ohio, Missouri, Upper Mississippi, and combined Arkansas-Red basins. N-ICEP for the mouth of the Mississippi River was positively correlated through time with both volume and area of the Gulf hypoxic zone, indicating that ICEP captures relevant ecological properties of the system. N-ICEP at the mouth was controlled largely by the Upper Mississippi, the most stoichiometrically imbalanced sub-basin. An auto-regressive integrated moving-average model showed increasing P-ICEP values through time, with N-ICEP moving in the opposite direction. N:P:dSi stoichiometry is changing throughout the Mississippi basin and the trend points towards increasingly favorable conditions for cyanobacteria in inland waters.

  • S19 Elements and energy as fundamental currencies of nature: using ecological stoichiometry as a tool to advance the sustainability of freshwater ecosystems
  • C10 Biogeochemistry
  • S24 Towards a predictive freshwater ecology: using time-series data to understand and forecast responses to a changing environment

Presentation:
This presentation has not yet been uploaded.

Handouts:
Handout is not Available

Transcripts:
CART transcripts are NOT YET available, but will be posted shortly after the conference


Presenters/Authors

Todd V. Royer (), Indiana University Bloomington, troyer@indiana.edu;


ASHA DISCLOSURE:

Financial -

Nonfinancial -