Energy, climate, and tree genetics for managing forest ecosystems
Attention to scaling concepts reveals powerful emerging relationships between energy, forestry and agriculture. The American people face an uncertain energy future while at the same time concerns have emerged about the ability of the landscape to produce sufficient biomass to serve as a replacement feedstock for oil. A related issue is the future capability of existing forests under different ownership categories to meet changing demands for fiber and fuel and how the supply of wood can be augmented by plantations and other intensively managed forests. Further speculation has emerged regarding the effect of fossil fuel use on climate and the extent to which climate change might alter patterns of plant genetic adaptation to the landscape. We have addressed these issues by defining research goals and studies in the genetics and benefits of bioenergy plantations and the patterns of tree and forest adaptation to climate change.
Research Goals
Optimize the deployment of cellulose-based bioenergy plantations in the northern region of the United States and determine the regional implications of widespread intensive-culture plantations for bioenergy, fiber, and environmental benefits.
Evaluate the impact of climate change on patterns of tree adaptation by utilizing legacy data and newly collected data from 80 years of conifer seed source and progeny tests.
Selected Research
- Conduct a crop genetic development program to test the growth, yield, and pest resistance of new genotypes (clones) of hybrid poplars on a regional or national scale, leveraging our longstanding (30+ years) program and partnerships in this research.
- Develop guidelines for optimal testing by applying quantitative genetic analysis to measurements of clone tests established with appropriate family structure.
- Develop models to predict the effects of genotype x environment interactions on the limits to geographic transfer of poplar clonal selections and the design of future breeding and testing.
- Maintain sufficient knowledge of the complete National Energy issue to provide policy-relevant input on bioenergy opportunities for the Station and the Agency.
- Continue evaluation of legacy data contained in our Institute files to determine which of the available datasets can contribute to an understanding of adaptive patterns.
- Apply modern statistical methods to evaluate legacy datasets in ways that were not possible in the past.
- Identify field experiments that remain in good condition with high survival and collect new measurements of growth, yield and pest resistance as needed.
|
Last Modified:
04/12/2012