lees.geo.msu.eduLEES Lab | MSU
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Landscape Ecology & Ecosystem Science Lab Center for Global Change and Earth Observations | Department of Geography -- -- Home Research People Publications Resources Courses News USCCC Contact Latest News 1) Jiquan receives Williams J Beal Outstanding Faculty Award at MSU! 2) Cheyenne Lei passed her proposal defense on 11/21/209, congratulations! Tweets @LEES_MSU View Lab Flier Welcome to the LEES Lab The LEES Lab at the CGCEO of Michigan State University, directed by Dr. Jiquan Chen, is interested in scientific investigations and education on fundamental ecosystem and landscape processes for understanding ecosystem functions and management. Our current studies are focused on the carbon and water cycles of different ecosystems (grassland, desert, forest, cropland, wetlands, freshwater) at multiple spatial and temporal scales, bioenergy systems and resource uses, coupled interactions and feedback between climatic change and human activities, and sustainable management and conservation. Our research projects, spreading mostly across North American and Asian landscapes, are based on sound field experiments and monitoring stations, state-of-the-art equipment and technology, modeling, and remote sensing technology. The LEES Lab is also the home of book series on "Ecosystem Science and Applications—ESA" for the Higher Education Press (HEP) and MSU Press. We maintain a high ethical and liberal standard for professional collaborations in research and education. Featured Article 1) Landscape Dynamics of Drylands across Greater Central Asia: People, Societies and Ecosystems by Garik Gutman, Jiquan Chen, Geoffrey Henebry and Martin Kappas (editors) -- forthcoming in May 2020 2) Linear downscaling from MODIS to Landsat: Connecting landscape composition with ecosystem functions Chen, J., P. Sciusco, Z. Ouyang, R. Zhang, G. M. Henebry, R. John, and D. P. Roy Landscape Ecology 34(12): 2917-2934. DOI: 10.1007/s10980-019-00928-2 MODIS products for three fundamental variables of ecosystem function are downscaled to ensure the approach can be extrapolated to multiple functional measurements. They are blue-sky albedo (0-1), evapotranspiration (ET, mm), and gross primary production (GPP, Mg C ha-1 yr-1). An object-oriented classification of Landsat images in 2011 was processed to generate a land cover map indicating landscape structure. The downscaling model was tested for the five Level IV ecoregions within the watershed. Log Aanlytics Table / Log Analytics Map -- Call us: (517) 844-1885 Contact Information Site Map -- Privacy Policy Site Accessibility Site Statistics Call MSU: (517) 355-1855 Visit: msu.edu MSU is an affirmative-action, equal-opportunity employer. Spartans Will. © Michigan State University...