| Title: | Field efficiency and bias of snag inventory methods. |
| Authors: | Kenning, R.S.
Ducey, M.J.
Brissette, J.C.
Gove, J.H.
USDA, FS |
| Source: | Canadian journal of forest research. 2005 Dec., v. 35, no. 12, p. 2900-2910. |
| NALT Subjects: | dead wood
sampling
forest trees
statistical analysis
stand composition
stand characteristics
forest inventory
forest mensuration
tree and stand measurements
forests
methodology
forest management
statistical models
probabilistic models
logging
timber management
stand management
tree classes
tree age
forest succession
forest regeneration
stand structure
coniferous forests
forest types
data analysis
image analysis
Maine
New Hampshire
United States
Minnesota |
| Other Subjects: | snag inventories
transition probabilities
tree distance sampling |
| Issue Date: | Dec-2005 |
| Abstract: | Snags and cavity trees are important components of forests, but can be difficult to inventory precisely and are not always included in inventories because of limited resources. We tested the application of N-tree distance sampling as a time-saving snag sampling method and compared N-tree distance sampling to fixed-area sampling and modified horizontal line sampling in mixed pine-hardwood forests of southern Maine and New Hampshire. We also present a novel modification of N-tree distance sampling that limits the distance from plot center that an observer must search to find tally trees. A field test shows N-tree to be quick, but generally biased and characterized by high variability. Distance-limited N-tree sampling mitigates these problems, but not completely. We give recommendations for operational snag inventory in similar forest types. |
| URI: | http://hdl.handle.net/10113/1293 |
| Appears in Collections: | USDA Research and Information
|
