Research

My research explores biogeochemical connections between land and water at landscape to macrosystem scales.  I use a combination of field/lab methods, satellite remote sensing, and GIS analyses to examine ecosystem processes of estuaries, rivers, and lakes. My CV is available here. If you have questions about my research, please don't hesitate to contact me!

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Biogeochemistry of big Arctic rivers 

While small streams are responsible for much of the biogeochemical cycling in the Arctic, major rivers systems represent a conduit of organic matter, nutrients, and sediments to the coastal Arctic ocean. In a rapidly changing climate, these fluxes of terrestrially-derived material are sensitive to shifts in temperature, hydrology, permafrost thaw, and other watershed processes. I use a combination of field, lab, and satellite remote sensing to understand how big river systems in the Arctic respond to climate, and what the fate of riverine material might be in the Arctic Ocean.

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Coupled Built-Natural Systems in the Arctic

Not only is the Arctic responding rapidly to climate change, but development and human activities are changing and expanding. Planning for the New Arctic will require an integrated understanding of natural and built systems, from the human to landscape scales.

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Carbon and Nitrogen cycling in permafrost polygons

Tundra landscapes feature geometric, polygonal patterns, created by the development and degradation of ice wedges. The mechanisms of carbon and nitrogen cycling by water, plants, and soils in these changing landscapes remains poorly understood.

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STORM-DRIVEN NITROGEN EXPORT TO TEXAN ESTUARIES

Nitrogen from agricultural run-off and wastewater drives estuarine eutrophication. In coastal Texas, alternating wet-dry years results in large variations in nitrogen delivery from rivers.

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REMOTE SENSING OF WATER QUALITY IN TEMPERATE LAKES

The Upper Midwest (MN, MI, WI) is dotted with tens of thousands of lakes of different colors, trophic states, sizes, and watershed features.  Remote sensing allows us to map colored dissolved organic matter (CDOM) across the region, and use that data to explore watershed controls on lake chemistry; trends in lakes DOM through time; and model lake DOM storage.