EARLY HEARING DETECTION AND INTERVENTION VIRTUAL CONFERENCE
MARCH 2-5, 2021
(Virtually the same conference, without elevators, airplane tickets, or hotel room keys)
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
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Presenters/Authors
Todd V. Royer
(), Indiana University Bloomington, troyer@indiana.edu;
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