Bioenergy from forestry and changes in atmospheric CO2: reconciling single stand and landscape level approaches

The Development of Straw-Based Biomass Power Generation in Rural Area in Northeast China—An Institutional Analysis Grounded in a Risk Management Perspective

Given a lack of consideration for the role and importance of stakeholders and the importance of stakeholders in the operation of biomass power plants in China, a comprehensive analysis oriented toward stakeholder risk management is needed to further develop the country’s biomass energy industry. Accordingly, we analyzed institutional factors that contribute to or constrain progress in biomass power generation in China. Data were collected from 275 straw suppliers (farmers) living around a biomass power plant, 15 middlemen, five power plant managers, and five local government officers. Interviews were held with all the participants, but questionnaires were additionally administered to the straw suppliers. Results showed that: (1) risk transfer in the biomass supply chain is one of the reasons why farmers are unwilling to supply straw; (2) middlemen are vital intermediaries between biomass power plant managers and farmers as a middleman-based biomass supply system is necessary to guarantee the quantity of straw supply, and; (3) the institutional structure that underlies the Chinese biomass energy industry is immature.

Projecting the Spatial Distribution of Possible Planted Forest Expansion in the United States

As the demand for forest products and carbon storage in standing timbers increases, intensive planting of forest resources is expected to increase. With the increased use of plantation practices, it is important to understand the influence that forest plot characteristics have on the likelihood of where these practices are occurring. Depending on the goals of a policy or program, increasing forest planting could be a desirable outcome or something to avoid. This study estimates a spatially explicit logistical regression function to assess the likelihood that forest plots will be planted based on physical, climate, and economic factors. The empirical results are used to project the potential spatial distribution of forest planting, at the intensive and extensive land-use margins, across illustrative future scenarios. Results from this analysis offer insight into the factors that have driven forest planting in the United States historically and the potential distribution of new forest planting in the coming decades under policy or market scenarios that incentivize improved forest productivity or certain ecosystem services provided by intensively managed systems (e.g., carbon sequestration).