5 edition of Robustness of the point-line method for monitoring basal cover found in the catalog.
Robustness of the point-line method for monitoring basal cover
Mitchell, John E.
by USDA Forest Service, Rocky Mountain Forest and Range Experiment Station in Fort Collins, Colo
Written in English
|Statement||John E. Mitchell, Ward W. Brady, and Charles D. Bonham|
|Series||Research note RM -- 528|
|Contributions||Brady, Ward W, Bonham, Charles D., 1937-, Rocky Mountain Forest and Range Experiment Station (Fort Collins, Colo.)|
|The Physical Object|
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Title. Robustness of the point-line method for monitoring basal cover / Related Titles. Series: Research note RM ; By. Mitchell, John E. (John Edward), Brady, Ward W. Robustness of the point-line method for monitoring basal cover. Fort Collins, Colo.: USDA Forest Service, Rocky Mountain Forest and Range Experiment Station, (OCoLC) Material Type: Government publication, National government publication: Document Type: Book: All Authors / Contributors.
Robustness of the point-line method for monitoring basal cover by Mitchell, John E. (John Edward), ; Brady, Ward W; Bonham, Charles D., ; Rocky Mountain Forest and Range Experiment Station (Fort Collins, Colo.); United States. Forest ServicePages: book: Additional Physical Format: Print version: Mitchell, John E.
(John Edward), Robustness of the point-line method for monitoring basal cover. Fort Collins, Colo.: USDA Forest Service, Rocky Mountain Forest and Range. Robustness of the point-line method for monitoring basal cover / View Metadata By: Mitchell, John E. (John Edward), - Brady, Ward W.
- Bonham, Charles D., - Rocky Mountain Forest and Range Experiment Station (Fort Collins, Colo.) - United States. A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text.
Total biological soil crust cover did not differ inside and outside the exclosures at any of the nine sites, regardless of monitoring method. Cover of biological soil crusts using the transect. The system and method can also determine data based on machine learning from either purposeful ignoration or by user activation of an “ignore” button.
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