. Hazard-rating systems in forest insect pest management : symposium proceedings, Athens, Georgia, July 31-August 1, 1980. Forest insects Biological control United States Congresses; Forest insects United States Analysis; Forest insects United States Management. Figure 3.—Treatment-cost function—rela- tionship between size of pest manage ment project and program Figure 4.—Inverse line—deflection of re- mainder acreage from the opposite side. and damage curves (fig. 5). Once the shape of the cost-plus-damage curve has been found, it is relatively simple to identify the low point and find
. Hazard-rating systems in forest insect pest management : symposium proceedings, Athens, Georgia, July 31-August 1, 1980. Forest insects Biological control United States Congresses; Forest insects United States Analysis; Forest insects United States Management. Figure 3.—Treatment-cost function—rela- tionship between size of pest manage ment project and program Figure 4.—Inverse line—deflection of re- mainder acreage from the opposite side. and damage curves (fig. 5). Once the shape of the cost-plus-damage curve has been found, it is relatively simple to identify the low point and find the best size for treatment area and expenditure. Tracing the point of least cost-plus- damage through the model for this planning unit indicates that optimum pest management and optimum product flow would be achieved by treating 51,000 acres of the 100,000- acre unit. At this level, the marginal damage equals the marginal pest management cost. That is, to spend beyond this level would add more to the cost than it would deduct from the damage. A bonus feature of this model is its built-in priority for extending pest con- trol to the kind and amount of forest land where treatment could do most to avert damage in the planning unit. The model was built on a hierarchy of potential val- ue losses. Each value loss is associated with specific forest stand conditions that describe a damage susceptibility group. The sequence from least to greatest loss per unit area, as accumulated in the dam- age curve, corresponds with the cumula- tive acreage plotted on the lower axis. Therefore, acreage to be treated (or left untreated) can be specified by describing the stand conditions that identify the damage susceptibility groups in that par- ticular acreage. CONCLUDi "G REMARKS The specific results are not especi- ally important here. The framework is important—a way to link risk rating and forest protection prescriptions. The cost-plus-loss concept has been around for some time
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