An equation system is developed to estimate current volume, projected basal area, and projected volume for merchantable even-aged stands of shortleaf pine in th& West Gulf region. The estimates indicate the expected volumes from the woods-run conditions encountered in practice.

No abstract

No abstract

SUMMARYEight different linear regression models were tested for ability to predict timber inventory for four tree species in Northeast Texas. Sample trees were selected for the Forest Survey by the variable plot (prism) method. Each model was tested using two weighting schemes for weighted least squares regressionprobability weights and optimal heteroscedasticity-correcting weights. In general, the probability weights performed best for inventory prediction. Spurr's combined formula model, incorporating DsH, fitted with probability weights made the best predictions.

The 1988 Forest Survey of Arkansas revealed new trends in forest resources. After decades of decline, forest area increased 3 percent. Pine plantation acreage increased substantially while acreage in natural pine stands decreased. Softwood inventory was down 5 percent, with growth also declining. Loblolly pine volume exceeded that of shortleaf pine for the first time in Arkansas history. The outlook for hardwood resources is positive. Inventory and growth have increased, and loss of bottomland hardwood acreage appeared to be at a standstill.Front cover: Advanced Very High Resolution Radiometer (AVHRR) image of Arkansas produced from data collected by the NOAA-11 satellite of the National Oceanic and Atmospheric Administration on April 11, 1991. In general, forest land is dark red; nonforest land is light red or blue; water is dark blue.l Some 8.0 million acres of timberland supported young, well-stocked stands where no obvious treatment was needed to improve prospective growth. On the remaining 9.3 million acres, the forest survey identified management opportunities that would increase prospective growth.