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Title: Sampling forest regeneration across northern U.S. forests: filling a void in regeneration model input

Author: McWilliams, William H.; Canham, Charles D.; Morin, Randall S.; Johnson, Katherine; Roth, Paul; Westfall, James A.;

Date: 2012

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]: 290-294.

Publication Series: Paper (invited, offered, keynote)

   Note: This article is part of a larger document. View the larger document

Description: The Forest Inventory and Analysis Program of the Northern Research Station (NRS-FIA) has implemented new Advance Tree Seedling Regeneration (ATSR) protocols that include measurements of seedlings down to 2 inches in height. The addition of ATSR protocols is part of an evaluation of NRS-FIA Phase 3 indicator variables to increase sampling intensity from 1/96,000 acres to 1/24,000 acres per sample location. The sampling scheme for understory vegetation consists of (1) estimating canopy-cover percent for six vegetation growth habits on 24-foot-radius subplots in four height classes and as an aerial view and (2) measuring tree saplings and seedlings on 6.8-foot-radius microplots. The Pennsylvania Regeneration Study has used ATSR and competing vegetation measurements to evaluate regeneration for 16.7 million acres of northern hardwood and mixed-oak forest. The findings revealed that only about half the State's forest had adequate advance regeneration for replacement of canopy species if the overstory were removed. The ATSR protocols provide estimates of the number of seedlings by species and height class, as well as a flexible method for evaluating regeneration adequacy. The level of detail of the measurements is expected to provide input that has not been available in the past for models that require tree regeneration information.

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

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Citation:


McWilliams, William H.; Canham, Charles D.; Morin, Randall S.; Johnson, Katherine; Roth, Paul; Westfall, James A. 2012. Sampling forest regeneration across northern US forests: filling a void in regeneration model input. 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]: 290-294.

 


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