journal article
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Fox, Lawrence; Mayer, Kenneth E.; Forbes, Alice R.
doi: 10.1093/jof/81.5.283pmid: N/A
Landsat data were classified with guided clustering techniques to inventory and map conifer species and general land cover on the McCloud Ranger District of the Shasta-Trinity National Forest in northeastern California. Four conifer timber types were differentiated. Two stocking and two size classes were also determined for each conifer type. Eighty-two percent of the ranger district is forested. Of the total forestland, 53 percent was identified as mixed conifer, 31 percent as ponderosa pine, 12 percent as mixed fir, and 4 percent as lodgepole pine. Accuracy of the classification was 83 percent when timber types, size, and stocking were being discriminated, and 88 percent when timber types were being identified without detailed breakdown to size and stocking. USDA Forest Service ground plot data were used to calculate timber volume and other stand values within Landsat categories. From these results, it was determined that Landsat analysis could provide timber type classifications for forest management planning.
Hornbeck, James W.; Kropelin, William K.
doi: 10.1093/jof/81.5.287pmid: N/A
We compared actual removals of biomass and nutrients from a whole-tree harvest with estimates made from biomass equations and nutrient data in the literature. The estimated values from the literature were suitable for assessing impacts of nutrient removals, but they overestimated biomass removals by an average of 19 percent.
doi: 10.1093/jof/81.5.293pmid: N/A
Concern about reforestation and to some extent about the financial viability of forest management on private land stimulated passage of Public Law 96-451, which includes tax incentives for reforestation. An economic analysis that measures the impact of the incentives on present net worth, cash flow, and internal rate of return under various landowner and forest situations indicates that the incentives wall improve forestry’s competitive positions with respect to other long-term capital investments.
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