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: | , |
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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 |