Evaluation of the mixed-effects model and quantile regression approaches for predicting tree height...
Evaluation of the mixed-effects model and quantile regression approaches for predicting tree height in larch (Larix olgensis) plantations in northeastern China
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1840 Woodward Drive, Suite 1, Ottawa, ON K2C 0P7: Canadian Science Publishing
Journal title
Language
English
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Publication information
Publisher
1840 Woodward Drive, Suite 1, Ottawa, ON K2C 0P7: Canadian Science Publishing
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Scope and Contents
Contents
Tree height (H) is one of the most important tree variables and is widely used in growth and yield models, and its measurement is often time-consuming and costly. Hence, height–diameter (H–D) models have become a great alternative, providing easy-to-use and accurate tools for H prediction. In this study, H–D models were developed for Larix olgensis...
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Full title
Evaluation of the mixed-effects model and quantile regression approaches for predicting tree height in larch (Larix olgensis) plantations in northeastern China
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_proquest_journals_2636865346
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2636865346
Other Identifiers
ISSN
0045-5067
E-ISSN
1208-6037
DOI
10.1139/cjfr-2021-0184
