You are here: Home
/ Publication Information
Title: Individual-tree probability of survival model for the Northeastern United States
Author: Teck, Richard M.; Hilt, Donald E.; Hilt, Donald E.
Source: Res. Rep. NE-642. Radnor, PA: U.S. Department of Agriculture, Forest Service, Northeastern Forest Experiment Station. 10 p.
Description: Describes a distance-independent individual-free probability of survival model for the Northeastern United States. Survival is predicted using a sixparameter logistic function with species-specific coefficients. Coefficients are presented for 28 species groups. The model accounts for variability in annual survival due to species, tree size, site quality, and the tree's competitive position within the stand. Model performance is evaluated using the chi-square goodness-of-fit test. Results are presented for the calibration data and an independent validation set. The model has been incorporated into NE-TWIGS.
Keywords: logistic function, mortality, survival model, survival prediction
View or Print this Publication (1.4 MB)
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
- This publication may be available in hard copy. Check the Northern Research Station web site to request a printed copy of this publication.
- Our on-line publications are scanned and captured using Adobe Acrobat. During the capture process some typographical errors may occur. Please contact Sharon Hobrla, email@example.com if you notice any errors which make this publication unusable.
Teck, Richard M.; Hilt, Donald E. 1990. Individual-tree probability of survival model for the Northeastern United States. Res. Rep. NE-642. Radnor, PA: U.S. Department of Agriculture, Forest Service, Northeastern Forest Experiment Station. 10 p.
Get the latest version of the Adobe Acrobat reader or Acrobat Reader for Windows with Search and Accessibility