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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9055997/ https://www.ncbi.nlm.nih.gov/pubmed/35502203 http://dx.doi.org/10.7717/peerj.13105 |