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Highlight IDTitleStrategic Program Area(s)YearStation
Photo of Percent change in (a) forest land use and (b) net forest cover change by study hexagons, 2002-2006 to 2007-2012, eastern U.S. Forest land use appears to increase in contrast to apparent widespread loss of forest cover. Brian Walters. U.S. Department of Agriculture Forest Service.
ID: 1001
A Tale of Two Forest Carbon Inventories: How Land-Use Measurements Affect National Greenhouse Gas Inventories

In a tale of two different forest carbon (C) inventories, the epilogue is that these C inventories are for the same forest but with different au ...

Principal Investigator : Christopher W. Woodall

Inventory and Monitoring2016NRS
Photo of The change in forest industry employment (NAICS 113, 321, 322, 337) from 2005 to 2010 compared to each state's total manufacturing employment in 2005.   Each state's circle is scaled to its total timberland growing stock volume in 2010 (northern region). Forest Service
ID: 40
Analysis Reveals Cyclical and Structural Changes in Forest Products Industry

Structural changes may be difficult to reverse but prospects for growth exist in forest product exports and wood-based biorefining

Principal Investigator : Christopher W. Woodall

Inventory and Monitoring2012NRS
Photo of Map of downed and dead woody material. Grant Domke, USDA Forest Service
ID: 461
Better Estimates of Carbon Inventory in Dead Wood Now Available

Researchers with the Forest Inventory and Analysis (FIA) program have sampled downed and dead woody material (DWM) since 2002 so most U.S. state ...

Principal Investigator : Christopher W. Woodall

Inventory and Monitoring2013NRS
Photo of Distribution of forest inventory observations of seedlings (blue) and trees (red) for eastern red cedar in eastern U.S. forests:  (A) Time 1: all forest sites, (B) Time 2: non-disturbed forest sites, and (C) Time 2: disturbed forest sites. Christopher Woodall, USDA Forest Service
ID: 462
Can Tree Species Rapidly Adapt to Climate Change by Migrating?

New techniques to monitor tree ranges in forests of the eatern U.S. suggest that current ranges may not be shifting along their range margins in ...

Principal Investigator : Christopher W. Woodall

Inventory and Monitoring2013NRS
Photo of National standing dead biomass (Mg/ha) Forest Service
ID: 44
First Inventory of Standing Dead Trees Across the United States Developed

Study compares differences between previously modeled estimates and new empirical estimates

Principal Investigator : Christopher W. Woodall

Inventory and Monitoring2012NRS
Photo of Mushroom on piece of downed dead wood. Fungal communities are a critical driver of dead wood residence times.  Christopher Woodall, USDA Forest Service
ID: 599
If a Tree Falls in a Forest, How Long Does It Lie There

Dead wood is critical to nutrient cycling, carbon dynamics, tree regeneration, wildlife habitat, and wildfire behavior in forests. Forest Servi ...

Principal Investigator : Christopher W. Woodall

Inventory and Monitoring2014NRS
Photo of Samples from increment borer shows the growth of a tree.  Does increasing CO2 affect the maximum number of trees that can be sustained in a forest?  If it does then all forest density management guides need a revision.
ID: 1226
Increasing atmospheric carbon dioxide concentration alters forest stand development, so do management guidelines need revision?

A decade ago, increased atmospheric carbon dioxide was at the heart of the Aspen Free-Air Carbon Dioxide Enrichment Experiment. Forest Service r ...

Principal Investigator : Christopher W. Woodall

Resource Management and Use
Water, Air, and Soil
Photo of Mean difference in tree-level carbon stocks between the Component Ratio Method and Jenkins' approach for tree species in the conterminous U.S. Forest Service
ID: 38
New Tree Volume and Biomass Estimation Procedures Implemented for the Yearly U.S. National Greenhouse Gas Inventory

New procedures have improved the accuracy, reliability, and transparency of the U.S. National Greenhouse Gas Inventory of U.S. forests and bioma ...

Principal Investigator : Christopher W. Woodall

Inventory and Monitoring2012NRS
Photo of Climate change risk matrix for forest ecosystem carbon pools in the US. Likelihood of change in carbon stocks is based on the coefficient of variation of median forest carbon stock densities among K�ppen-Geiger climate regions (i.e., x-axis) based on the national forest inventory plot network. Size of carbon stocks are based on the US National Greenhouse Gas Inventory (i.e., y-axis). Societal response (e.g., immediate adaptive response or periodic monitoring) to climate change events depends on the size and relative likelihood of change in stocks. Year 2100 projections are based on linear extrapolations of current carbon stocks and imputing current median carbon pool densities by climate region to projected future climate regions for calculation of coefficients of variation. The soil organic carbon pool exhibits the highest variability among climate regions and therefore may be most affected by climate change or climate change induced disturbance events. In contrast, the dead wood pool has a relatively small stock with low variability among climate regions. Explicit climate change effects are not incorporated into this matrix as they represent a number of complex feedbacks both between stocks (e.g., live aboveground biomass transitioning to the dead wood pool) and the atmosphere (e.g., forest floor decay). USDA Forest Service.
ID: 508
Risk Matrix Highlights Knowledge Gaps in Forest Carbon Stocks

Forest Service scientists propose a basic approach to assess global change risks to forest carbon stocks in the U.S., which builds on the curren ...

Principal Investigator : Christopher W. Woodall

Inventory and Monitoring2013NRS
Photo of Shannon’s Diversity Index of a forest’s wood specific gravity (i.e., wood density), which serves as an indicator of various forest ecosystem processes such as selfthinning. USDA Forest Service
ID: 871
The Next Generation of Forest Analysis: Integrating Tree Functional Traits With the “Big Data” of Forest Inventories

Over recent years, plant traits such as shade tolerance or wood density have emerged as valuable variables in interpreting plant population dyna ...

Principal Investigator : Christopher W. Woodall

Inventory and Monitoring2015NRS