Abstract
Variables relating to forest health monitoring, such as mortality, are difficult to predict and model. We present here the results of fitting various spatial regression models to these variables. We interpolate plot-level values compiled from the Forest Inventory and Analysis National Information Management System (FIA-NIMS) data that are related to forest health. These data included information concerning mortality, trees killed by various causes of death (indicated by the FIA-NIMS variable AGENTCD), and species richness.
Parent Publication
Citation
Stewart, Brock; Cieszewski, Chris J.; Smith, Eric L. 2009. Preliminary results of spatial modeling of selected forest health variables in Georgia. In: McRoberts, Ronald E.; Reams, Gregory A.; Van Deusen, Paul C.; McWilliams, William H., eds. Proceedings of the eighth annual forest inventory and analysis symposium; 2006 October 16-19; Monterey, CA. Gen. Tech. Report WO-79. Washington, DC: U.S. Department of Agriculture, Forest Service. 221-229.
