Date of Award

2012

Publisher

North Dakota State University

Document Type

Thesis

Degree Awarded

Master of Science (MS)

Program

Natural Resources Management

Department

Natural Resources Management

College

Agriculture, Food Systems and Natural Resources

Faculty Advisor

Norland, Jack

Description

Characterizing features that influence beaver (Castor Canadensis) to select a site to construct a dam may have important implications for managing damage to select stands of bottomland hardwood forest by beaver activity. This study was initiated to determine and develop a quick and simple approach for managers to determine areas of most concern. Advanced Light Detection and Ranging (LiDAR) was collected for the study area in November of 2009. The study utilized software that has been developed to extract topographic features from a Digital Elevation Model (DEM). The extracted data was used to identify landscape variables to try and specify presence, future presence, and suitability of an area to support dam sites. This study, however, found that the development and use of such advanced LiDAR and DEM creation was error prone, which resulted in errors in the metrics that were calculated relative to the DEM.

Rights

NDSU policy 190.6.2

Rights Link

https://www.ndsu.edu/fileadmin/policy/190.pdf

Handle Identifier

https://hdl.handle.net/10365/26817

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