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Mutiple indicator monitoring (MIM) of stream channels and streamside vegetation / BLM.

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Format:
Book
Government document
Contributor:
National Operations Center (U.S.)
Series:
Riparian area management
Technical reference (United States. Bureau of Land Management) ; 1737-23.
Technical reference ; 1737-23
Language:
English
Subjects (All):
River channels--United States.
River channels.
Riparian plants--United States.
Riparian plants.
United States.
Physical Description:
1 online resource (x, 155 pages) : color illustrations.
Place of Publication:
Denver, CO : U.S. Dept. of the Interior, Bureau of Land Management, National Operations Center, 2011.
Summary:
"Multiple Indicator Monitoring (MIM) of Stream Channels and Streamside Vegetation was developed to provide information for managers, landowners, and others to actively manage riparian resources. Through 6 years of testing, continuous improvements have been made to this protocol to minimize subjectivity while maintaining a reasonable level of precision and accuracy ... Indicators and procedures in this protocol were selected and developed primarily to monitor impacts of livestock and other large herbivores on wadable streams. This protocol integrates annual grazing use and long-term trend indicators allowing for evaluation of livestock grazing management. The MIM protocol was developed and tested on relatively low-gradient (less than 4 percent), perennial snowmelt-dominated spring-fed streams in the Western United States and is most applicable to those systems"--Page 1.
Contents:
I. Introduction
II. Select the designated monitoring area (DMA)
III. Locate the greenline
IV. Measure indicators using systematic procedures and metrics
V. Use the data entry and analysis modules and the MIM database
VI. Analyze, interpret, and evaluate monitoring data
Appendices.
Notes:
Title from title screen (viewed on Aug. 22, 2011).
"BLM/OC/ST-10/003+1737."
Includes bibliographical references (pages 149-155).
Other Format:
Print version: Mutiple indicator monitoring (MIM) of stream channels and streamside vegetation
OCLC:
747505197

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