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

This study estimated the economic benefit of recreational fisheries on two trophy crappie Pomoxis spp. fisheries in Mississippi. We accomplished this by estimating economic impacts of angler expenditures and angler willingness‐to‐pay for fishing trips above current expenditures. Anglers spent 91,811 activity days on Sardis Reservoir in 2006 and 46,036 on Grenada Reservoir in 2007. The total economic impacts to the state were estimated at US$5.83 million on Sardis Reservoir and $2.15 million on Grenada Reservoir, supporting 75 and 51 full‐ and part‐time jobs, respectively. Total consumer surplus was $5.57 million and $4.46 million on Sardis and Grenada reservoirs, respectively. Last, we used a model that predicted the effect of average spring water levels on total angling effort to estimate resulting changes in economic benefits. Spring angling effort and associated economic benefits peaked at intermediate water levels and declined at both low and high water levels. Future changes in precipitation patterns in the southeastern United States may require altering reservoir guide curves to maximize economic benefits associated with reservoir fisheries. Received June 25, 2012; accepted October 3, 2012

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Forest carbon sequestration is considered one of the most efficient strategies for climate change mitigation, and forests provide significant carbon storage in the United States. Non-industrial private forest (NIPF) ownership is the dominant ownership group in the southern US, but little is understood about landowners" willingness to manage forests for carbon sequestration. This study examines NIPF landowner willingness to delay final timber harvest for additional carbon sequestration despite unknowns about positive or negative impacts to profitability that result from carbon price fluctuations. Survey data from 735 landowners in the southern United States were used to estimate a probit model analyzing their participation behavior. Landowner willingness to participate in carbon sequestration practices was 55%, 25%, and 16% when such practices were more profitable, revenue neutral or less profitable than timber management only, respectively. Although many landowners would require a significant monetary incentive to participate in carbon sequestration, others would participate with little or no incentive. Those having recreational goals for their property were the most likely group to participate in carbon sequestration. Management changes (i.e., management plan and verification requirements) and carbon revenue were the two most important determinants of their probability of participation. In