SciELO - Scientific Electronic Library Online

 
vol.17 issue1Models to predict the volume increment for mixed forests in Durango, MexicoAgroforestry systems as an alternative for carbon sequestration in the mexican tropics author indexsubject indexsearch form
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • Have no similar articlesSimilars in SciELO

Share


Revista Chapingo serie ciencias forestales y del ambiente

On-line version ISSN 2007-4018Print version ISSN 2007-3828

Abstract

BUENO LOPEZ, Santiago W.  and  BEVILACQUA, Eddie. Developing a diameter-distribution prediction system for Pinus occidentalis, Sw. in la sierra, Dominican Republic. Rev. Chapingo ser. cienc. for. ambient [online]. 2011, vol.17, n.1, pp.115-132. ISSN 2007-4018.  https://doi.org/10.5154/r.rchscfa.2010.05.029.

Information about the diameter distribution of a forest stand is an essential component for deriving a variety of stand attributes, understanding stand dynamics under varying ecological conditions and planning future forest prescriptions. Diameter distributions from multiple evenaged stands of Pinus occidentalis from three different ecological zones within La Sierra region in the Dominican Republic were modeled using a three-parameter Weibull probability prediction method using either maximum likelihood or modified method of moments, and two bases on parameter recovery method using either percentile-based or cumulative distribution function regression. Stand characteristics such as age, total tree height, trees per hectare, site quality and basal area were employed as predictor variables. Methods were evaluated based on goodness-of-fit of the distributions and RMSE of stand yield. In these data, the parameter recovery method based on percentile based distribution proved to be considerably more efficient in describing the diameter distribution.

Keywords : Pinus occidentalis; diameter distribution; Weibull pdf; parameter prediction; parameter recovery; mixed models.

        · abstract in Spanish     · text in Spanish     · Spanish ( pdf )

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License