This file was created by scanning the printed publication. Errors identified by the software have been corrected; however, some errors may remain. Spatial Dependence of Tree Biomass in an Old-Growth Forest Franco ~ i o n d i and ' Donald E. ~ y e r s * Abstract.-Geostatistical models were fitted to aboveground tree biomass and decadal biomass increment of an old-growth, naturally-seeded stand of southwestern ponderosa pine (Pinzrsponderosa Dougl. ex Laws. var. sco-pulorurn) whose density increased over the twentieth century. Our objective was to determine the effects of crowding on spatial dependence of tree biomass, especially compared to our previous results concerning tree size and basal area increment (Biondi et al. 1994). Despite increased crowding, tree biomass maintained the same type of spatial dependence from 1920 to 1990. An isotropic Gaussian variogram was the model of choice to represent spatial dependence at all times. Tree biomass was spatially autocorrelated over distances no greater than 30 m, a measure of average patch diameter in this forest ecosystem. Since patch diameter remained constant through time, tree density increased by increasing the number of pine groups, not their horizontal dimension. Spatial dependence of tree biomass was greater than that of biomass increment. Increased crowding over time altered spatial dependence of biomass increment: even though the isotropic Gaussian variogram was still the model of choice, its range doubled from 1920-30 to 1980-90, while the amount of spatial dependence was halved. The latter finding indicates that decadal-scale accumulation rates over the twentieth century became less dependent on mutual tree position. These results confirmed our previous findings based on tree size and basal area increment. Simulation models and area estimates of stand dynamics in oldgrowth forests may be improved by including geostatistical components to summarize ecological spatial dependence. REFERENCES Biondi, F., D.E. Myers and C.C. Avery 1994. Geostatistically modeling stem size and increment in an old-growth forest. Canadian Journal of Forest Research 24: 13541368. ' Dend~ochrvnologist,Scripps Institution of Oceanography, Unrversiy of Califor~~~a-Son D~ego.La Jolla. CA 920934215, lIS.4 Professo~Department of Mathematics Universigj of Arizona. Tucson, AZ 85721. lJSA