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Estimating forest crown area removed by selection cutting: a linked regression-GIS approach based on stump diameters

Forest Ecology and Management

6256_Anderson.pdf
By:
, , , and
DOI: 10.1016/S0378-1127(99)00325-4

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Abstract

The purpose of this research was to develop a model that could be used to provide a spatial representation of uneven-aged silvicultural treatments on forest crown area. We began by developing species-specific linear regression equations relating tree DBH to crown area for eight bottomland tree species at White River National Wildlife Refuge, Arkansas, USA. The relationships were highly significant for all species, with coefficients of determination (r(2)) ranging from 0.37 for Ulmus crassifolia to nearly 0.80 for Quercus nuttalliii and Taxodium distichum. We next located and measured the diameters of more than 4000 stumps from a single tree-group selection timber harvest. Stump locations were recorded with respect to an established gl id point system and entered into a Geographic Information System (ARC/INFO). The area occupied by the crown of each logged individual was then estimated by using the stump dimensions (adjusted to DBHs) and the regression equations relating tree DBH to crown area. Our model projected that the selection cuts removed roughly 300 m(2) of basal area from the logged sites resulting in the loss of approximate to 55 000 m(2) of crown area. The model developed in this research represents a tool that can be used in conjunction with remote sensing applications to assist in forest inventory and management, as well as to estimate the impacts of selective timber harvest on wildlife.

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
Estimating forest crown area removed by selection cutting: a linked regression-GIS approach based on stump diameters
Series title:
Forest Ecology and Management
DOI:
10.1016/S0378-1127(99)00325-4
Volume
137
Issue:
1-3
Year Published:
2000
Language:
English
Contributing office(s):
Patuxent Wildlife Research Center
Description:
171-177
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
Larger Work Title:
Forest Ecology and Management
First page:
171
Last page:
177