Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/7196
Title: Visual obstruction : Section 6.2.6, U.S. Army Corps of Engineers Wildlife Resources Management Manual
Authors: Pennsylvania State University. DuBois Campus.
Environmental Impact Research Program (U.S.)
Mitchell, Wilma A.
Hughes, H. Glenn.
Keywords: Cover board
Cover estimation
Profile board
Horizontal cover
Incremental cover
Rapid sampling technique
Screening cover
Vegetation profile
Vegetation sampling
Visual obstruction
Environmental management
Publisher: Environmental Laboratory (U.S.)
Engineer Research and Development Center (U.S.)
Series/Report no.: Technical report (U.S. Army Engineer Waterways Experiment Station) ; EL-95-23.
Description: Technical Report
Abstract: A report on visual obstruction as a vegetation sampling technique is provided as Section 6.2.6 of the U.S. Army Corps of Engineers Wildlife Resources Management Manual. This technique can be used by the Corps Districts or project biologists to estimate percentage of horizontal cover of understory communities. Topics covered include guidelines for technique selection and study design, preparation for sampling, and procedures for data collection, recording and analysis. The visual obstruction technique is a rapid method for measuring the structural profile of understocy vegetation. Designed to measure horizontal foliage density, this technique is useful for estimating the amount of screening cover available to ground-dwelling wildlife species. It allows the measurement of horizontal cover by estimating the percentage of a 2-m profile board that is visually obstructed by vegetation. Equipment is inexpensive, data collection can be conducted by either 1 or 2 field personnel, and the method is applicable in a wide range of habitat types. Detailed instructions are given for recording and analyzing data; these are accompanied by numerical examples that illustrate each step of recording and data analysis. A reproducible form is also provided for recording and calculating visual obstruction data.
URI: http://hdl.handle.net/11681/7196
Appears in Collections:Technical Report

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