2012
DOI: 10.5424/fs/2012213-02722
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Dynamic growth and yield model for Black pine stands in Spain

Abstract: In a forestry context, modelling stand development over time relies on estimates of different stand characteristics obtained from equations which usually constitute a multivariate system. In this study we have developed a stand growth model for even-aged stands of Black pine (Pinus nigra Arn.) in Spain. The 53 plots used to fit the equations came from the permanent sample plot network established by the Forest Research Centre (INIA) in 1963 and 1964 in the main distribution regions of Black pine. The model is … Show more

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Cited by 5 publications
(3 citation statements)
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“…Several probability functions, including the Gram-Charlier series (Meyer 1930), log-normal probability functions (Bliss and Reinker 1964), Jonshon's SB probability functions (Rennolls and Wang 2005; Gorgoso et al 2012;Özçelik et al 2016;Cosenza et al 2019), beta probability functions (Gorgoso et al 2012) and Weibull probability functions (e.g. Cao et al 1982;Magnussen 1986;Poudel and Cao 2013;Mora et al 2012; Coble 2014; Nanos and Sjöstedt de Luna 2017) have been used to describe dbh distributions for even-aged stands. 1 3…”
Section: Discussionmentioning
confidence: 99%
“…Several probability functions, including the Gram-Charlier series (Meyer 1930), log-normal probability functions (Bliss and Reinker 1964), Jonshon's SB probability functions (Rennolls and Wang 2005; Gorgoso et al 2012;Özçelik et al 2016;Cosenza et al 2019), beta probability functions (Gorgoso et al 2012) and Weibull probability functions (e.g. Cao et al 1982;Magnussen 1986;Poudel and Cao 2013;Mora et al 2012; Coble 2014; Nanos and Sjöstedt de Luna 2017) have been used to describe dbh distributions for even-aged stands. 1 3…”
Section: Discussionmentioning
confidence: 99%
“…Due to improvements in statistical methods and computer applications, the traditional yield tables have gradually been replaced by dynamic growth models (Buckman 1962;Clutter 1963;Mora et al 2012;Burkhart and Tomé 2012). Modeling the growth and yield of uneven-aged forests has received much less attention than that of even-aged forests (Peng 2000).…”
Section: Introductionmentioning
confidence: 99%
“…Using data from remote sensing could help in reducing the forest inventory costs. Although tree and stand characteristics of European black pine has been widely researched e.g., [18][19][20], to the best of our knowledge there are no adequate allometric equations that may be used for estimation of DBH, tree volume and aboveground biomass of black pine trees using remote sensing data. Therefore, the main aim of this research was to develop models for predicting DBH, merchantable tree volume (V), and aboveground biomass (AGB) of individual black pine trees grown in Sub-Mediterranean Croatian forests which will be suitable for remote sensing-based forest inventories.…”
Section: Introductionmentioning
confidence: 99%