Insight: ‘moving window’ approach optimizes ecological forecasting

Insight: ‘moving window’ approach optimizes ecological forecasting

By Environmental Research Web
25 January 2011


Coastal hypoxia is a growing problem worldwide. In estuaries and river-fed coastal areas, excess nutrients from the land, often originating from human activities, can lead to abnormally high biomass production and thus reduced dissolved oxygen concentrations that can diversely affect fish and shellfish habitats. While hypoxia formation requires both sufficient biomass production and water-column stratification, controlling nutrient loads and how they affect biomass formation is also important.

Annual hypoxia forecasts for the Gulf of Mexico and Chesapeake Bay have been performed to raise awareness of hypoxia and how it is connected to nutrient loads, to manage it better and to test our understanding of the phenomenon. This last aspect is a particularly important way to test the validity of model-derived scenarios for decision makers.

The overall suitability of a model is a balance between how accurate it is and how quickly it can respond to ecological changes. This is important because lakes, rivers and other water bodies have experienced changes in their sensitivity to nutrient loading over the past couple of decades. These changes in a system state are difficult to recognize in real time because there is substantial year-to-year variability. The forecasting ability of a hypoxia model that incorporates Bayesian parameter uncertainty and variability for the Gulf of Mexico and Chesapeake was, surprisingly, optimized by calibration to short, recent datasets.

Using a "moving-window" calibration approach, with windows of different sizes, we found that the model calibrated with a three-year moving window had a higher accuracy than models using longer windows in both systems. The approach, which can also be used to analyse annual variations, may be important in other systems where ecological forecasts are needed in the face of long-term changes resulting from climate change, biological invasion or other phenomena.

Future work will explore the interaction of upper- and lower-water layers. In the Gulf of Mexico the upper layer, in which phytoplankton biomass is produced, flows in the same direction as the lower layer, in which biomass is decomposed and oxygen is used up. However, in Chesapeake Bay these layers flow in opposite directions, causing differences in the spatial distribution of production and oxygen use.

About the author

Mary Anne Evans is a postdoctoral researcher at the University of Michigan’s School of Natural Resources and Environment. Her work brings together mathematical modelling and empirical data to answer ecological questions related to aquatic and coastal carbon cycling. 

Donald Scavia is a professor of natural resources and environment and of civil and environmental engineering at the University of Michigan; he is also director of the University’s Graham Sustainability Institute. His research group works to improve the understanding of interactions between human activities on land and their impacts on coastal marine and freshwater ecosystems. 

2017-01-17T09:22:09+00:00 January 31st, 2011|News|Comments Off on Insight: ‘moving window’ approach optimizes ecological forecasting