Modelling probability of snow and wind damage using tree, stand, and site characteristics fromPinus sylvestrissample plots

Author:

Fridman Jonas1,Valinger Erik2

Affiliation:

1. a Department of Forest Resource Management and Geomatics , Swedish University of Agricultural Sciences , Umeå, S‐901 83, Sweden

2. b Department of Silviculture, Faculty of Forestry , Swedish University of Agricultural Sciences , Umeå, S‐901 83, Sweden

Publisher

Informa UK Limited

Subject

Forestry

Reference32 articles.

1. Agresti , A. 1984.Analysis of ordinal categorical data, 287New York: John Wiley & Sons. Inc. ISBN/ISSN 0–471–89055–3

2. Anon . 1990.SAS/STAT∗ User's Guide, Version 6, Fourth Edition, Vol. 2, 1072–1126. Cary, NC, USA: SAS Institite Inc. ISBN 1–55544–376–1

3. Attebring , J. 1987.Relative Volume Increment as a Measure of Stocking in Forest Stands, Report 41 13Umeá: Department of Forest Survey, Swedish University of Agricultural Sciences. ISBN 91–576–3024–0

4. Booth , T. C. 1977.Windthrow hazard classification, Forestry Commission Research Information Note No. 22/77/SILN 4Edinburgh

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