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Modified Stand Hazard Ma Here ene t<br />

Figure 7. Modified hazard map (left panel) inc<strong>or</strong>p<strong>or</strong>ates in:f<strong>or</strong>mation on lightning-struck hosts and existing infestation<br />

centers. This map also contains inf<strong>or</strong>mation on the dispersal behavi<strong>or</strong> of D. ¢?o_talis. The dispersal distance was<br />

represented as an area (a circle with a 1 km radius) around the lightning-struck hosts and infestation centers. Dis-<br />

persal and host selection behavi<strong>or</strong> of the insect link the netw<strong>or</strong>k of high hazard stands, infestation centers, and<br />

lightning-struck host. The heterogeneity map (right panel) was developed using the AMI index applied to the<br />

modified hazard map, using the moving-window calculation. This map illustrates how the netw<strong>or</strong>k of high hazard<br />

:stands, liglhtning-struck hosts, and existing population centers is connected through dispersal behavi<strong>or</strong> of the insect.<br />

The Heterogeneity Map. Third in the sequence is the functional heterogeneity map (Fig. 7 - right panel). In <strong>this</strong><br />

particular example, tile AMI index was applied to the modified hazard map, using the moving-window calculation described<br />

above. Recall that the AMI index is sensitive to dispersion of landscape elements. The functional heterogeneity index allows<br />

f<strong>or</strong> integration of the inf<strong>or</strong>mation on landscape structure and insect behavi<strong>or</strong> known to influence epidemiology of D. frontatis.<br />

The heterogeneity map (Fig. 7-right panel) is a visualization of the results. This map illustrates how the netw<strong>or</strong>k of high<br />

hazard stands_ lightni_g.-struck hosts, and existing population centers is connected through dispersal behavi<strong>or</strong> of the insect.<br />

Knowledge of <strong>this</strong> interaction will certainly increase with new research on epidemiotogy, and <strong>this</strong> added complexity can be<br />

accommodated by the approach, Figure 7 (right panel) is a characterization of only one point in time. During the course of<br />

the year, functional heterogeneity of the landscape will change f<strong>or</strong> the reasons outlined above. Functional heterogeneity will<br />

also change during successive years of an insect outbreak, as herbiv<strong>or</strong>y creates additional fragmentation of the f<strong>or</strong>est matrix.<br />

Furtherm<strong>or</strong>e, there will be a flux in habitat available to the insect in successive years, as high hazard stands are depleted<br />

through herbiv<strong>or</strong>y and new stands grow into the vulnerable age classes. The index values are a quantitative measure of<br />

ftmctional heterogeneity and theref<strong>or</strong>e can be used f<strong>or</strong> tile analysis and description of sequential map data. Recall, also, that<br />

the tt_ree indices are sensitive to dilYerent aspects of landscaPe pattern. Therefk)re, each index will provide alternative insights<br />

into how O_ ._f?ontatis perceives and reacts to its environment.<br />

Host Defenses and Epidemiology of Dendroctonus frontalis<br />

"Ik_summarize, at the onset of <strong>this</strong> study, we indicated that epidemiology of D. frontalis was related to the distribution<br />

of host defenses in f<strong>or</strong>est landscapes. Previous research had clearly established that infestations typically occur in high<br />

hazard stands consisting of hosts with reduced capacity f<strong>or</strong> defense against colonization by bark beetles. Hazard rating<br />

282

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