Characterization of forest attributes at fine scales is necessary to manage terrestrial resources in a manner that replicates, as closely as possible, natural ecological conditions. In forested ecosystems, management decisions are driven by variables such as forest composition, forest structure (both vertical and horizontal), and other ancillary data (i.e., topography, soils, slope, aspect, and disturbance regime dynamics). Vertical forest structure is difficult to quantify and yet is an important component in the decision-making process. This study investigated the use of light detection and ranging (LiDAR) data for classifying this attribute at landscape scales for inclusion into decisionsupport systems. Analysis of field-derived tree height variance demonstrated that this metric could distinguish between two classes of vertical forest structure. Analysis of LiDAR-derived tree height variance demonstrated that differences between single-story and multistory vertical structural classes could be detected. Landscape-scale classification of the two structure classes was 97% accurate. This study suggested that within forest types of the Intermountain West region of the United States, LiDAR-derived tree heights could be useful in the detection of differences in the continuous, nonthematic nature of vertical forest structure with acceptable accuracies. D

Examination of miniature endplate potential (MEPP) distributions indicated that the average quantal size is significantly reduced by approximately 44% in young adult mdx mice (5-7 weeks). The average quantum declined further to approximately 37% of non-dystrophic levels in mature (6- to 24-month) mdx mice. Young adult non-dystrophic and mdx endplates and mature non-dystrophic endplates exhibited a linear relationship between the mean and variance of uniquantal MEPP amplitude distributions. Mature mdx endplates, however, exhibited a distinctly nonlinear relationship characterized by large increases in variance at larger mean MEPP amplitudes. These results indicate a reduced average density of functional acetylcholine (ACh) receptors (AChRs) at mdx endplates that, in mature preparations, is associated with greater temporal or spatial variability in the density of functional AChRs apposed to individual release sites.

The effects of steroids on the steady-state intracellular [Ca(2+)] ([Ca(2+)](i)) and resting Ca(2+) influx in Fura-2-loaded bovine lens epithelial cells were examined to identify potential rapid, non-genomic actions. When administered in the presence of 1-2 mM extracellular Ca(2+) ([Ca(2+)](o)), 100 micro M progesterone produced large (up to 12-fold) and transient (5 min) increases in [Ca(2+)](i). These effects were abolished in EGTA-containing solutions, and were associated with large increases in the rate at which extracellularly administered Mn(2+) quenched the intracellular Fura signal. Lower concentrations of progesterone (10-100 micro M) produced smaller increases in [Ca(2+)](i) that were concentration dependent, and 17beta-estradiol induced large, rapid and brief increases in [Ca(2+)](i) at 100 nM and smaller oscillations in [Ca(2+)](i) at 10 nM. In cells pretreated with thapsigargin, 100 micro M progesterone produced slower increases in [Ca(2+)](i) that were maintained for several minutes. These results demonstrate rapid non-genomic actions of progesterone and estradiol on resting Ca(2+) influx and [Ca(2+)](i) that may involve specific interactions with a recently discovered steroid-binding protein in the plasma membrane of lens epithelial cells.