In addition to its standard suite of mensuration variables, the Forest Inventory and Analysis (FIA) program of the U.S. Forest Service also collects data on forest health variables formerly measured by the Forest Health Monitoring program. FIA obtains forest health information on a subset of the base sample plots. Due to the sample size differences, the two sets of variables have traditionally ...

There is much demand for forest information at the regional, national, and international level, covering aspects as varied growing stock, carbon pools, non-wood products, well on biodiversity, risks, disturbances, or social indicators [...]

At present, there is very limited information on the ecology, distribution, and structure of Cambodia's tree species to warrant suitable conservation measures. The aim of this study was to assess various methods of analysis of aerial imagery for characterization of the forest mensuration variables (i.e., tree height and crown width) of selected tree species found in the forested region around t...

Empirical models are standard tools in forest management. They provide quantitative information for management and planning that is accurate within the limits of sampling and measurement accuracy, but they are generally site-specific and cannot simulate the results of changing conditions. Mechanistic, or process-based models, based on the physiological processes that govern tree growth can, in ...

The national Forest Health Monitoring (FHM) program conducted a remeasurement study in 1999 to evaluate the usefulness and feasibility of collecting data needed for investigating carbon budgets in forests. This study indicated that FHM data are adequate for detecting a 20% change over 10 years (2% change per year) in percent total carbon and carbon content (MgC/ha) when sampling by horizon, wit...