Fitting and calibrating a multilevel mixed-effects stem taper model for maritime pine in NW Spain
Por favor, use este identificador para citas ou ligazóns a este ítem:
http://hdl.handle.net/10347/21822
Ficheiros no ítem
Metadatos do ítem
Título: | Fitting and calibrating a multilevel mixed-effects stem taper model for maritime pine in NW Spain |
Autor/a: | Arias Rodil, Manuel Castedo Dorado, Fernando Cámara Obregón, Asunción Diéguez Aranda, Ulises |
Centro/Departamento: | Universidade de Santiago de Compostela. Departamento de Enxeñaría Agroforestal |
Palabras chave: | Maritime Pine | |
Data: | 2015 |
Editor: | PLOS |
Cita bibliográfica: | Arias-Rodil M, Castedo-Dorado F, CámaraObregón A, Diéguez-Aranda U (2015) Fitting and Calibrating a Multilevel Mixed-Effects Stem Taper Model for Maritime Pine in NW Spain. PLoS ONE 10 (12): e0143521. doi:10.1371/journal.pone.0143521 |
Resumo: | Stem taper data are usually hierarchical (several measurements per tree, and several trees per plot), making application of a multilevel mixed-effects modelling approach essential. However, correlation between trees in the same plot/stand has often been ignored in previous studies. Fitting and calibration of a variable-exponent stem taper function were conducted using data from 420 trees felled in even-aged maritime pine (Pinus pinaster Ait.) stands in NW Spain. In the fitting step, the tree level explained much more variability than the plot level, and therefore calibration at plot level was omitted. Several stem heights were evaluated for measurement of the additional diameter needed for calibration at tree level. Calibration with an additional diameter measured at between 40 and 60% of total tree height showed the greatest improvement in volume and diameter predictions. If additional diameter measurement is not available, the fixed-effects model fitted by the ordinary least squares technique should be used. Finally, we also evaluated how the expansion of parameters with random effects affects the stem taper prediction, as we consider this a key question when applying the mixed-effects modelling approach to taper equations. The results showed that correlation between random effects should be taken into account when assessing the influence of random effects in stem taper prediction |
Versión do editor: | https://doi.org/10.1371/journal.pone.0143521 |
URI: | http://hdl.handle.net/10347/21822 |
DOI: | 10.1371/journal.pone.014352110.1371/journal.pone.0151297 |
E-ISSN: | 1932-6263 |
Dereitos: | © 2015 Arias-Rodil et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited |
Coleccións
-
- EA-Artigos [191]
- UXAFORES-Artigos [62]