Melanie Colón Posted December 21, 2015 Share Posted December 21, 2015 Offered by: PalEON (PaleoEcological Observatory Network;www.paleonproject.org) Course Dates: August 13-20, 2016Application Deadline: February 15, 2016. Selected candidates will beannounced by March 15, 2016.Course Description: Estimating the impact of global change processeslike land-use and climate on terrestrial ecosystems requires anintegration of long-term data and ecosystem models. This course willprovide 20 graduate students and postdocs with intensive training in theemerging tools that allow us to:• estimate the signal and uncertainty in historical andpaleoecological data• assimilate both signal and uncertainty into the current suite ofterrestrial ecosystem modelsThe course has a hands-on, integrated curriculum emphasizing thedata/model process from design through data collection, analysis andback to design. We will collect tree-rings and sedimentary data (e.g.,pollen, charcoal, and macrofossils). Analysis of these data will takeplace in a Bayesian mode of inference addressing uncertainty in age-models, calibration of proxy data, and integration of diverse historicaldata. After an introduction to inference from ecosystem models intraditional "forward" mode, participants will integrate ecologicalparameters estimated from their data sets into these ecosystem modelsusing formal Bayesian data assimilation.Participating Faculty: Mike Dietze (Boston University); Steve Jackson(U.S. Geological Survey and University of Arizona); Jason McLachlan(University of Notre Dame); Chris Paciorek (University of CaliforniaBerkeley); Jack Williams (University of Wisconsin)Location: University of Notre Dame Environmental Research Center, LandO'Lakes, WI, USA.Fees: This workshop is funded by a grant from the National ScienceFoundation and is free to participants. You must provide your own meansof transportation to Chicago, Illinois or Madison, Wisconsin.Application: We are seeking students with interests and backgrounds inpaleoecology, terrestrial ecosystem modeling, and/or statistics. Send aCV, a statement detailing why you want to take the course and how youanticipate it helping your research, and arrange to have a letter sentfrom your major advisor supporting your application.Apply to: Jody Peters at email@example.com Link to comment Share on other sites More sharing options...
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