2010
DOI: 10.5424/fs/2010193-9046
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Models for simulating the development of even-aged Pinus brutia stands in Middle East

Abstract: Pinus brutia occurs in the Eastern Mediterranean region and is the most widespread conifer species in Middle East. It is important for multi-purpose forestry owing to its high ecological value and economic importance. To model the stand dynamics of P. brutia, 133 semi-permanent sample plots were placed in 10 to 166 year-old stands in Syria and Lebanon, covering the whole range of variation in site quality, stand age and stand density. Site index, distance-independent diameter increment, height and self-thinnin… Show more

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Cited by 9 publications
(5 citation statements)
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“…Previous research on P. brutia stand dynamics based on different and larger datasets throughout the same study area (de-Miguel et al 2010) already revealed lower dominant heights for the Lebanese stands most likely owing to both anthropogenic reasons (past forest management oriented toward selection cuttings) and environmental factors (Lebanese P. brutia forests represent the southernmost limit of the natural distribution area of this species). This suggests that the results presented in this article reflect real forest stand conditions within the study region and contribute to corroborate that tree allometry is modulated by environmental factors and forest structure in different geographic locations (Palumets 1988;Feldpausch et al 2011).…”
Section: Biomass Componentsmentioning
confidence: 87%
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“…Previous research on P. brutia stand dynamics based on different and larger datasets throughout the same study area (de-Miguel et al 2010) already revealed lower dominant heights for the Lebanese stands most likely owing to both anthropogenic reasons (past forest management oriented toward selection cuttings) and environmental factors (Lebanese P. brutia forests represent the southernmost limit of the natural distribution area of this species). This suggests that the results presented in this article reflect real forest stand conditions within the study region and contribute to corroborate that tree allometry is modulated by environmental factors and forest structure in different geographic locations (Palumets 1988;Feldpausch et al 2011).…”
Section: Biomass Componentsmentioning
confidence: 87%
“…Destructive sampling is considered the most accurate method to produce reliable biomass data (Henry et al 2011). In this study, altogether 201 P. brutia trees of different sizes and shapes were felled in Syria (100 trees) and Lebanon (101 trees) beside sample plots used for growth and yield modeling by de-Miguel et al (2010de-Miguel et al ( , 2012a and by Shater et al (2011). Sample trees (Table 1) represented different growing sites, stand densities, and stand ages.…”
Section: Samplingmentioning
confidence: 99%
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