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UMRR Long Term Resource Monitoring

The LTRM element is one of two components of the federally mandated Upper Mississippi River Restoration Program. A cooperative program between the U.S. Army Corps of Engineers, U.S. Geological Survey, U.S. Fish and Wildlife Service, U.S. Environmental Protection Agency, and the states of Illinois, Iowa, Minnesota, Missouri, and Wisconsin.

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Forest Canopy Gap Dynamics: Quantifying Forest Gaps and Understanding Gap-level Forest Regeneration

Floodplain forest is a major and critical component of the Upper Mississippi River System (UMRS). The current and future condition of floodplain forest on the UMRS is receiving increased attention from managers as the forest appears to be declining and not regenerating. A primary concern is invasive reed canarygrass ( Phalaris arundinacea ), Dutch elm disease ( Ophiostoma ulmi and O. novo-ulmi )...
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Forest Canopy Gap Dynamics: Quantifying Forest Gaps and Understanding Gap-level Forest Regeneration

Floodplain forest is a major and critical component of the Upper Mississippi River System (UMRS). The current and future condition of floodplain forest on the UMRS is receiving increased attention from managers as the forest appears to be declining and not regenerating. A primary concern is invasive reed canarygrass ( Phalaris arundinacea ), Dutch elm disease ( Ophiostoma ulmi and O. novo-ulmi )...
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Code for journal papers

Gray, BR, RJ Haro and JT Rogala. 2010. Addressing among-group variation in covariate effects using multilevel models . Environmental and Ecological Statistics 17: 573–591. Gray BR. 2012. Variance components estimation for continuous and discrete data, with emphasis on cross-classified sampling designs . In Gitzen RA, JJ Millspaugh, AB Cooper and DS Licht (eds.), Design and analysis of long-term...
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Code for journal papers

Gray, BR, RJ Haro and JT Rogala. 2010. Addressing among-group variation in covariate effects using multilevel models . Environmental and Ecological Statistics 17: 573–591. Gray BR. 2012. Variance components estimation for continuous and discrete data, with emphasis on cross-classified sampling designs . In Gitzen RA, JJ Millspaugh, AB Cooper and DS Licht (eds.), Design and analysis of long-term...
Learn More