Publications

Expanded individual tree diameter prediction models from tree height and other variables

Description

Based on the nonlinear least squares method and nonlinear mixed-effects modeling technique, provincial and subregion-specific tree diameter prediction models were developed for major Alberta tree species. These models predict individual tree diameters at breast height from tree heights (varies by report). They can be used at both the population and plot-specific levels with varying degrees of accuracy. Different procedures for making the predictions under different circumstances are presented. Examples of model application are demonstrated based on real data.

Updated

June 1, 2016

Tags
forest biometrics forest mensuration forest models tree diameter tree hight

Title and publication information

Type
Report
Alternative Title

Report #3. Expanded individual tree diameter prediction models from tree height and other variables

Extent

55 pages

Frequency

Once

Publisher / Creator Information

Publisher

Agriculture and Forestry

Contributor

Huang, Shongming

Contributor

Yang, Yuqing

Subject Information

Resource Dates

Date Created

2016-06-01

Date Added

2023-11-24T17:43:35.618399

Date Modified

2016-06-01

Date Issued

2023-11-28

Audience information

Identifiers

ISBN (pdf)

9781460126448

ISBN (print)

9781460126431

Local Identifier

Technical Report Pub. No.: T/608

Usage / Licence

Contact

Contact Name

Forestry and Parks. Forestry Division. Forest Stewardship and Trade Branch