Growth and Yield of Trees and Forests

Whatever one’s goals for their forestland, it is very useful to have an idea of what activities might help achieve them. This is the value of growth and yield modeling – by measuring numerous plots of trees across a wide range of site conditions and activity regimes, we then use those data and statistical techniques to accurately predict how future forests will develop. These prediction techniques help landowners decide what to do and understand what to expect – both ecologically and financially – from their actions.

What We Have Learned

Our collaboration with the Virginia Tech/North Carolina State Forest Productivity Cooperative and the Virginia Tech Forest Modeling Research Cooperative have helped develop the Loblolly Pine Decision Support System, which integrates a number of models to give foresters a user-friendly method of comparing the effects of different silvicultural options on forest structure and cash flow during the life of the stand.

Ongoing Projects

We continue to install and monitor long-term plots in conjunction with that project so that the models can be continuously updated with data from the most current genotypes grown under the silvicultural regimes being employed by today’s landowners.


Additional Resources

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Factors Limiting Early Development of Riparian Hardwood Plantings in Page, Shenandoah, Warren and Rockingham Counties in Virginia (2010-2013)
Factors Limiting Early Development of Riparian Hardwood Plantings in Page, Shenandoah, Warren and Rockingham Counties in Virginia (2010-2013)RR-126

Thousands of hardwood seedlings are planted in Virginia every year through the Conservation Reserve Enhancement Program (CREP). The plantings are inspected initially and again two to three years later to monitor success. Report summarizes the results of those inspections and underscores the influence natural impacts and maintenance can have on the success of planting.

Viewresearch-resource-information resource-information
Growth Projection and Discounted Cash Flow as Decision Tools for Loblolly Pine Silviculture
Growth Projection and Discounted Cash Flow as Decision Tools for Loblolly Pine SilvicultureRR-132Viewresearch-resource-information resource-information
No. 001 A Comparison of Tree Growth and Development Between a Shortleaf and Loblolly Pine Plantation Growing on Nason Soil in Orange County, Virginia; by H. W. Bashore and R. L. Marler
No. 001 A Comparison of Tree Growth and Development Between a Shortleaf and Loblolly Pine Plantation Growing on Nason Soil in Orange County, Virginia; by H. W. Bashore and R. L. MarlerOR-001Viewresearch-resource-information resource-information
No. 002 Yellow-Poplar Growth and Yield Data on Selected Stands in Virginia; by R. L. Marler
No. 002 Yellow-Poplar Growth and Yield Data on Selected Stands in Virginia; by R. L. MarlerOR-002Viewresearch-resource-information resource-information
No. 003 Early Tree Plantings Starting to Pay in Virginia; by R. L. Marler
No. 003 Early Tree Plantings Starting to Pay in Virginia; by R. L. MarlerOR-003Viewresearch-resource-information resource-information
No. 021 Yield of Planted Loblolly Pine in Piedmont and Coastal Plain VA; by T. A. Dierauf and R. L. Marler
No. 021 Yield of Planted Loblolly Pine in Piedmont and Coastal Plain VA; by T. A. Dierauf and R. L. MarlerOR-021Viewresearch-resource-information resource-information
No. 049 Yield of Old Field Shortleaf Pine Plantations; by T. A. Dierauf and J. W. Garner
No. 049 Yield of Old Field Shortleaf Pine Plantations; by T. A. Dierauf and J. W. GarnerOR-049Viewresearch-resource-information resource-information
No. 095 Comparison of Loblolly and Virginia Pine Yields; by T. A. Dierauf
No. 095 Comparison of Loblolly and Virginia Pine Yields; by T. A. DieraufOR-095Viewresearch-resource-information resource-information

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