Forecasting sustainability: growth to removals ratio dynamics

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  • Authors: James, Natasha A.; Abt, Robert C.; Abt, Karen L.; Sheffield, Raymond M.; Cubbage, Fredrick W.
  • Publication Year: 2012
  • Publication Series: Paper (invited, offered, keynote)
  • 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.

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.

  • 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.
  • Keywords: statistics, estimation, sampling, modeling, remote sensing, forest health, data integrity, environmental monitoring, cover estimation, international forest monitoring
  • Posted Date: February 1, 2013
  • Modified Date: February 1, 2013
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