Forecasting sustainability: growth to removals ratio dynamics

Natasha James; Robert C. Abt; Karen Abt; Raymond M. Sheffield; Fredrick W. Cubbage

Treesearch

Forecasting sustainability: growth to removals ratio dynamics

Informally Refereed

Authors:

Natasha James, Robert C. Abt, Karen Abt, Raymond M. Sheffield, Fredrick W. Cubbage

Year:

2012

Type:

Paper

Station:

Northern Research Station

Source:

In: Morin, Randall S.; Liknes, Greg C., comps. Moving from status to trends: Forest Inventory and Analysis (FIA) symposium 2012; 2012 December 4-6; Baltimore, MD. Gen. Tech. Rep. NRS-P-105. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. [CD-ROM]: 54-58.

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Abstract

The growth to removals ratio (G/R) is often used as a measure of forest resource sustainability and as a reference point to forecast future resource sustainability. However, little work has been done to determine if any relationship exists between G/R over time. Forest Inventory and Analysis data for 12 southern states were used to determine if any relationship exists between G/R at a given point in time and G/R in the future. Ordinary least squares results indicated a positive relationship over time, meaning a high G/R ratio in the past is associated with a high G/R ratio in the future. However, after removing the effects of differences across space through the use of fixed effects analysis, the results indicated G/R has a negative relationship with itself over time.

Parent Publication

Moving from status to trends: Forest Inventory and Analysis (FIA) symposium 2012

Keywords

statistics, estimation, sampling, modeling, remote sensing, forest health, data integrity, environmental monitoring, cover estimation, international forest monitoring

Citation

James, Natasha A.; Abt, Robert C.; Abt, Karen L.; Sheffield, Raymond M.; Cubbage, Fredrick W. 2012. Forecasting sustainability: growth to removals ratio dynamics. In: Morin, Randall S.; Liknes, Greg C., comps. Moving from status to trends: Forest Inventory and Analysis (FIA) symposium 2012; 2012 December 4-6; Baltimore, MD. Gen. Tech. Rep. NRS-P-105. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. [CD-ROM]: 54-58.