Forestry in the Southeastern United States has long focused on converting natural stands into pine plantations or managing exclusively for hardwoods. Little consideration has been given to managing stands containing pine and hardwood mixtures, as these stands were considered inferior in terms of productivity and/or quality. Recent declines in small-diameter softwood markets and logging workforce have, however, begun to stress the traditional pine production model in some locations, raising interest in management alternatives. Here, we provide biological, economic, and sociocultural rationale for pine-hardwood mixtures as an alternative strategy for landowners with multiple management objectives. To support this idea, an illustration compares a mixed-species plantation to pine and hardwood monocultures under a variety of simulated scenarios to demonstrate growth potential and economic and biological resilience. Moreover, to identify scenarios where managing pine-hardwood mixtures would be most appropriate, and to help conceptualize landowner interest in mixed stands, we present a guide combining biological, economic, and sociocultural factors that we anticipate influencing the adoption of mixed-stand management. The aim of this conceptual paper is not to suggest that mixed-species stand management should become the dominant management paradigm; rather, we seek to encourage researchers and land managers to consider it as part of the broader silvicultural toolbox.

The South-Central United States, which includes the states of Louisiana, Mississippi, Texas, and Arkansas, represents an important segment of the softwood sawtimber market. By using the Seemingly Unrelated Regression (SUR) method to account for the linkage among the four contiguous timber markets, this study examines the dynamics of softwood sawtimber stumpage markets within the region. Based on quarterly data from 1981 to 2014, the findings reveal that both pulpwood and chip-and-saw (CNS) prices have a positive influence on the Texas and Arkansas sawtimber markets. Moreover, Granger-causality tests suggest that unidirectional causality runs from pulpwood and CNS markets to the respective sawtimber market. Compared to the pre-financial crisis period, sawtimber prices in these four states are 9%–17% lower in the recent years.

State agencies and universities often use IMPLAN software and data to quantify economic contributions of forest-product industries in specific regions. Since IMPLAN software is designed to estimate economic impacts rather than economic contributions, adjustments have to be made to the direct effect values to avoid overstating the results of the analysis. Two economic contribution analysis approaches are most common: internal adjustments to the IMPLAN software and external adjustments of the input values by using output multipliers. Results suggest that both methods of contribution analysis produce similar total effects, but their approaches of handling direct effects are substantially different. The strengths and weaknesses of each method are discussed, and the importance of adjustments to obtain economic contribution estimates as opposed to economic impact estimates is highlighted. Furthermore, practitioners are cautioned to follow the steps carefully and explain which, between the two contribution analysis methods, was used in their analysis.

The value of aggregate forest product exports to India has increased from about $1.5 billion in 2003 to about $5.4 billion in 2013. Although many of the forest product resources can be sourced from within India, the subcontinent must also source forest products from trading partners, in the form of wood product exports. This presents many economic challenges and opportunities for wood product markets and trade, as India is the second-largest importer of wood products in the world. In this study, we focus on the effect of regulatory quality on forest products exports by partner countries to India. Using a panel of trade flows during 2009 through 2013 of 143 partner countries exporting forest products to India, we estimate an augmented gravity trade model to capture the effect of relevant variables on the outflow of aggregate forest products and disaggregate paper and paperboard, wood pulp, fiberboard, veneers, sawn wood, industrial roundwood, and plywood products from partner countries to India. Results from the analysis are mixed; regulatory quality is found to have positive correlation with exports to India in some cases (paper and paperboard products and wood pulps) and no correlation in a few instances (fiberboard, veneer sheets, sawn wood, industrial roundwood, and plywood). Other explanatory variables such as the distance between the partner country and India, forest area of partner country relative to forest area of India, gross domestic product, population, and trade agreements are mostly found to have positive or negative significant effects on trade, varying across different sectors.