A survey of voluntary compliance of forestry BMPs

Subject
 Forest management--South Carolina; Best management practices (Pollution prevention)--South Carolina 
Description
The forestry community through the leadership of the South Carolina Forestry Association decided to initiate a survey of 100 logging sites during the spring of 1990 to evaluate voluntary BMP compliance. The objectives of the survey were to establish a reference point of overall compliance of BMPs for the period 1988-90 and to determine level of individual BMP compliance, whether landowners were aware of BMPs, and if landowners were using the advice of professional foresters in conducting harvesting operations.
URI
http://hdl.handle.net/10827/7827
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Date
1991-03
Author
Hook, Donald D.
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CreatorHook, Donald D.
Date Accessioned2012-08-30T15:59:30Z
Date Available2012-08-30T15:59:30Z
Date of Issue1991-03
Identifier (URI)http://hdl.handle.net/10827/7827
DescriptionThe forestry community through the leadership of the South Carolina Forestry Association decided to initiate a survey of 100 logging sites during the spring of 1990 to evaluate voluntary BMP compliance. The objectives of the survey were to establish a reference point of overall compliance of BMPs for the period 1988-90 and to determine level of individual BMP compliance, whether landowners were aware of BMPs, and if landowners were using the advice of professional foresters in conducting harvesting operations.
Media TypeDocument
Item LanguageEnglish
PublisherSouth Carolina State Library
Digital CollectionSouth Carolina State Documents Depository
RightsCopyright status undetermined. For more information contact, South Carolina State Library, 1500 Senate Street, Columbia, South Carolina 29201.
SubjectForest management--South Carolina
SubjectBest management practices (Pollution prevention)--South Carolina
TitleA survey of voluntary compliance of forestry BMPs
TypeText
Digitization Specifications300ppi, Epson Expression 10000xl flatbed scanner with Adobe Acrobat X Standard software, Archival Master file is a multi-image TIFF; online version is a PDF/A-1b. Color depth varies by collection: 24-bitcolor, 8-bit grayscale, or black & white.