Development of forest regeneration imputation models using permanent plots in Oregon and Washington

Karin Kralicek; Andrew Sánchez Meador; Leah Rathbun

Treesearch

Development of forest regeneration imputation models using permanent plots in Oregon and Washington

Informally Refereed

Authors:

Karin Kralicek, Andrew Sánchez Meador, Leah Rathbun

Year:

2015

Type:

General Technical Report

Station:

Pacific Northwest Research Station

Source:

In: Stanton, Sharon M.; Christensen, Glenn A., comps. 2015. Pushing boundaries: new directions in inventory techniques and applications: Forest Inventory and Analysis (FIA) symposium 2015. 2015 December 8–10; Portland, Oregon. Gen. Tech. Rep. PNW-GTR-931. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. p 67.

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Abstract

Imputation models were developed and tested to estimate tree regeneration on Forest Service land in Oregon and Washington. The models were based on Forest Inventory and Analysis and Pacific Northwest Regional NFS Monitoring data. The data was processed into sets of tables containing estimates of regeneration by broad plant associations and spanning a large variety in forest cover conditions. The output tables were organized to facilitate their use within variants of FVS commonly used in the Pacific Northwest region. The methods were implemented in a highly reproducible fashion to ensure future model adaptability.

Parent Publication

Pushing boundaries: new directions in inventory techniques and applications: Forest Inventory and Analysis (FIA) symposium 2015

Citation

Kralicek, Karin; Meador, Andrew Sánchez; Rathbun, Leah. 2015. Development of forest regeneration imputation models using permanent plots in Oregon and Washington. In: Stanton, Sharon M.; Christensen, Glenn A., comps. 2015. Pushing boundaries: new directions in inventory techniques and applications: Forest Inventory and Analysis (FIA) symposium 2015. 2015 December 8–10; Portland, Oregon. Gen. Tech. Rep. PNW-GTR-931. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station: 67-68.