A comparison of fixed- and mixed-effects modeling in tree growth and yield prediction of an indigenous neotropical species (Centrolobium tomentosum) in a plantation system-Reference-Cited by-同舟云学术

A comparison of fixed- and mixed-effects modeling in tree growth and yield prediction of an indigenous neotropical species (Centrolobium tomentosum) in a plantation system

Published:2013-03 Issue: Volume:291 Page:249-258
ISSN:0378-1127
Container-title:Forest Ecology and Management
language:en
Short-container-title:Forest Ecology and Management

Author:

de-Miguel Sergio,Guzmán Gustavo,Pukkala Timo

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Nature and Landscape Conservation,Forestry

Reference58 articles.

1. Trigonometric variable-form taper equations for Australian eucalyptus;Bi;For. Sci.,2000

2. Improved estimates of site index curves using a varying-parameter model;Biging;For. Sci.,1985

3. Modeling Forest Trees and Stands;Burkhart,2012

4. Carvalho, P.E.R., 2005. Araruva. Colombo, Embrapa Florestas, Circular técnica 103, 11p.

5. Evaluating marginal and conditional predictions of taper models in the absence of calibration data;de-Miguel;Can. J. For. Res.,2012

Cited by 30 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Simulating the diameter growth responses of Larix gmelini Rupr. and Betula platyphylla Suk. to biotic and abiotic factors in secondary forests in Northeast China;Annals of Forest Science;2023-08-14

2. Individual-tree growth models for lodgepole pine (Pinus contorta) in Iceland;Icelandic Agricultural Sciences;2023

3. MIXED MODELS FOR NUTRIENTS PREDICTION IN SPECIES OF THE BRAZILIAN CAATINGA BIOME;Revista Árvore;2023

4. Evaluation of parametric and non-parametric stem taper modeling approaches: A case study for Betula platyphylla in Northeast China;Forest Ecology and Management;2022-12

5. Individual-level distance-independent-based growth and yield prediction models for long-term Japanese cedar (Cryptomeria japonica);Canadian Journal of Forest Research;2022-04