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2018 All-Scientists’ Meeting
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Wednesday, October 3 • 10:30am - 12:00pm
Exploring the concept and utility of an “ecosystem reanalysis” product with LTER data

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Reanalysis allows data to inform models through statistical techniques, which in turn, can elucidate underlying system dynamics to understand ecosystem function or improve forecasting at a variety of spatial and temporal scales. Reanalysis are commonly used in the atmospheric community as a method to obtain insights that would be difficult, if not impossible, to obtain with observation alone. Reanalysis are uncommon in ecology, somewhat due to a lack of spatial and temporal data to assimilate into model frameworks. The LTER network has strengths in collecting rich and diverse long-term datasets, but synthesizing such datasets across networks or ecosystem is often challenging. With respect to this, synthesizing these data with an ecosystem

Lead Organizer
avatar for Adrian Rocha

Adrian Rocha

University of Notre Dame

avatar for Michael Dietze

Michael Dietze

Professor, Department of Earth and Environment, Boston University
Michael Dietze leads the Ecological Forecasting Laboratory at Boston University, whose mission is to better understand and predict ecological systems, and is author of the book “Ecological Forecasting”. He is interested in the ways that iterative forecasts, which are continually... Read More →

Yiqi Luo

Professor, Northern Arizona University
Ecosystem ecologyBiogeochemistryCarbon cycle, nitrogen cycle,Ecological modeling

Wednesday October 3, 2018 10:30am - 12:00pm PDT
05. Dolphin Meeting Room