Predicting crown width using nonlinear mixed-effects models accounting for competition in multi-species secondary forests
Crown width (CW) is an important tree variable and is often used as a covariate predictor in forest growth models. The precise measurement and prediction of CW is therefore critical for forest management. In this study, we introduced tree species as a random effect to develop nonlinear mixed-effects...
Main Authors: | Rui Hou, Zongzheng Chai |
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Format: | Article |
Language: | English |
Published: |
PeerJ Inc.
2022-04-01
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Series: | PeerJ |
Subjects: | |
Online Access: | https://peerj.com/articles/13105.pdf |
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