Upper Midwest Environmental Sciences Center

UMRR Long Term Resource Monitoring

https://www.umesc.usgs.gov/ltrm-home.html

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.

The mission of the Long Term Resource Monitoring element is to support decision makers with the information and understanding needed to maintain the Upper Mississippi River System as a viable multiple-use river ecosystem.

The LTRM short term goals are:

  • Develop a better understanding of the Upper Mississippi River System and its resource problems.
  • Monitor resource change.
  • Develop alternatives to better manage the Upper Mississippi River System.
  • Provide for proper management of program information.                  

Long Term Resource Monitoring

Filter Total Items: 6
Date published: March 11, 2021
Status: Active

Understanding constraints on submersed vegetation distribution in a large, floodplain river: the role of water level fluctuations, water clarity and river geomorphology

Aquatic vegetation is a key component of large floodplain river ecosystems. In the Upper Mississippi River System (UMRS), there is a long-standing interest in restoring aquatic vegetation in areas where it has declined or disappeared. To better understand what constrains vegetation distribution in large river ecosystems and inform ongoing efforts to restore submersed aquatic vegetation (SAV),...

Date published: October 28, 2020
Status: Active

Upper Mississippi River System Weighted Wind Fetch Analysis (1989, 2000, 2010/2011)

Wind fetch is defined as the unobstructed distance that wind can travel over water in a constant direction. Fetch is an important characteristic of open water because longer fetch can result in larger wind-generated waves. The larger waves, in turn, can increase shoreline erosion and sediment re-suspension. Wind fetches were calculated using the wind fetch model available from (...

Contacts: Jason Rohweder
Date published: February 20, 2020
Status: Active

Forest Landscape Ecology of the Upper Mississippi River Floodplain

Forests are the dominant land cover along the floodplain of the Upper Mississippi River System. These forests are primarily made up of relatively short-lived and rapidly growing species, such as willow, cottonwood, silver maple, green ash, American elm, but with inclusions of slower growing and longer-lived species, such as oak and hickory species.

Date published: February 3, 2020
Status: Active

Develop Orthophotos and Mosaics from systemic color infrared aerial photography of the Upper Mississippi River System from 1975, 1989, 1994, and 2000

The U.S. Army Corps of Engineers’ Upper Mississippi River Restoration (UMRR) Program Long Term Resource Monitoring (LTRM) element is implemented by the U.S. Geological Survey, Upper Midwest Environmental Sciences Center (UMESC), in cooperation with the five Upper Mississippi River System (UMRS) states of Illinois, Iowa, Minnesota, Missouri, and Wisconsin. Color infrared aerial photography was...

Date published: January 22, 2020
Status: Active

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...

Date published: December 14, 2017
Status: Active

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....

Contacts: Brian Gray, PhD