Preliminary results of spatial modeling of selected forest health variables in Georgia

Brock Stewart; Chris J. Cieszewski

Treesearch

Preliminary results of spatial modeling of selected forest health variables in Georgia

Informally Refereed

Authors:

Brock Stewart, Chris J. Cieszewski

Year:

2009

Type:

General Technical Report

Station:

Northern Research Station

Source:

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.

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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

Proceedings of the eighth annual forest inventory and analysis symposium

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.