USING GEOGRAPHICAL INFORMATION-SYSTEMS (GIS) AND LARGE-AREA DATABASESTO PREDICT YIELD CLASS - A STUDY OF SITKA SPRUCE IN WALES

Citation
Ij. Bateman et Aa. Lovett, USING GEOGRAPHICAL INFORMATION-SYSTEMS (GIS) AND LARGE-AREA DATABASESTO PREDICT YIELD CLASS - A STUDY OF SITKA SPRUCE IN WALES, Forestry, 71(2), 1998, pp. 147-168
Citations number
48
Categorie Soggetti
Forestry
Journal title
ISSN journal
0015752X
Volume
71
Issue
2
Year of publication
1998
Pages
147 - 168
Database
ISI
SICI code
0015-752X(1998)71:2<147:UGI(AL>2.0.ZU;2-9
Abstract
A geographic information system (GIS) is used to combine and analyse d ata from a variety of existing large area databases concerning tree gr owth, plantation management and the environmental characteristics of p lanted sites. Principal component analysis and regression techniques a re employed to estimate a number of Yield Class models for Sitka spruc e (Picea sitchensis (Bong). Carr.). The GIS is used to extrapolate res ults and generate maps of predicted yield for a large study area (the entirety of Wales). The resulting methodology produces well fitting mo dels of timber yield which compare favourably with those reported in t he literature while the GIS generated maps are readily compatible with those currently under construction by various UK forestry authorities in order to plan for a proposed increase in afforested land.