Scaling Up Ecosystem Monitoring in the Great Lakes

Oral Presentation

Prepared by P. Collingsworth
Purdue University, 610 Purdue Mall, West Lafayette, IN, 47907, United States


Contact Information: [email protected]; 312-886-7449


ABSTRACT

Traditional ecosystem monitoring programs that rely on place-based sampling and wet chemistry have proven useful across a variety of ecosystems. However, at very large spatial scales, such as those represented by the Laurentian Great Lakes, traditional monitoring programs can be incredibly costly and time consuming. The recent, rapid expansion of sensor-based platforms and remote sensing technology is constantly increasing the spatial and temporal scales at which parameters can be measured. Thus, ecosystem monitoring in the Great Lakes is rapidly becoming a “big data” issue. Here, I present the results from several sensor-based monitoring programs that were designed by the EPA’s Great Lakes National Program Office to assess ecosystem structure and function at scales ranging from local, water column profiles to whole lake observations.