Simulation of silvicultural scenarios and economic efficiency

Alegria, Cristina

doi:10.5424/fs/20112003-11070

Cited by 9 publications

(10 citation statements)

References 12 publications

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“…Hence, it is not expected to observe losses in total yield due to self-thinning. Assuming that the results obtained by Alegria (2011), using natural regeneration of maritime pine for a scenario with Fw = 0.20 (this being the most similar to our proposal) are generalizable, it is expected that the silvicultural model results in one of the highest values for stand yield, average annual increment and pulp wood yield.…”

Section: Stand Density Modelsupporting

confidence: 75%

A silvicultural stand density model to control understory in maritime pine stands

Fonseca¹,

Duarte²

2017

iForest

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The aim of this study was to provide optimal silvicultural guidelines for the maintenance of low understory vegetation cover in maritime pine (Pinus pinaster Ait.) stands in Mediterranean areas prone to the occurrence of forest fires. An extensive data set from maritime pine stands of northern Portugal was used to assess the effect of stand density on the understory cover. A statistically significant relationship between the spacing-top height factor (Fw) and the understory cover was found. An ecologically-based density regulation model was developed based on Fw = 0.21, which provided the optimal stand density and canopy cover to prevent the understory growth and proliferation, thereby reducing the vulnerability to forest fire and ensuring at the same time the highest values of stand yield. The developed model represents a supporting tool for density regulation of maritime pine stands in areas prone to forest fires. The representativeness of the supporting data set (in terms of number of sample plots and variability of the stands characteristics) provides confidence in the generalization of our results to different maritime pine stands in the Mediterranean area. This study suggests that managing stand density may be an effective adaptive management procedure which can help reducing the forest fire hazard.

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Section: Stand Density Modelsupporting

confidence: 75%

A silvicultural stand density model to control understory in maritime pine stands

Fonseca¹,

Duarte²

2017

iForest

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“…This association is commonly known and has been reported by multiple authors (e.g. Alegria 2011;Dean et al 2013;del Río et al 2001;Kuliešis et al 2010;Isomäki 2004a, 2004b;Moulinier et al 2015;Nilsson et al 2010;Tang et al 2016;Zeide 2010).…”

Section: Discussionmentioning

confidence: 54%

“…Most studies on the effect of stand density on productivity have used stand volume increment (in cubic metres) as the measure of productivity. Economically, however, production optimisation should be based on the value of the products, in particular timber assortments (Alegria 2011;Nilsson et al 2010;Tahvonen et al 2013;Zeide 2001).…”

Section: Introductionmentioning

confidence: 99%

Relationship between stand density and value of timber assortments: a case study for Scots pine stands in north-western Poland

Wegieł

Bembenek

Łącka

et al. 2018

N.Z. j. of For. Sci.

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Background: Stand density changes during forest growth. Various types and intensities of thinning operations can be applied in order to improve the volume of the remaining trees. It is not clear whether or not thinning results in better total volume increment although timber value is usually higher when thicker logs are obtained from trees. The objective of this study was to determine if Scots pine (Pinus sylvestris L.) stands of lower density would produce timber of a higher value than stands with a higher density and thinner trees. Methods: The research was carried out on 20 experimental plots in 81-90-year-old Scots pine stands, located in northwestern Poland. The data obtained were used to simulate the logging of the trees into either 2.5-m logs or tree tops, which were classified into five quality classes of timber. The volume of each assortment was calculated, based on its dimensions, and the value in EUR was calculated. Results: It was found that the correlation between stand density and the total value of the wood was very weak and not statistically significant. However, taking each assortment separately, the values of sawmill wood, pulpwood and energy wood were significantly correlated with stand density. Conclusions: It was concluded that lower densities were more profitable for sawmill wood production, while higher densities might be more beneficial in biomass production.

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“…The studied stands showed a strong relationship between stand density and mean DBH, a correlation which is widely known [20,45,54]. Therefore, if stand density is correlated with tree size and tree size is correlated with carbon content, then it could be expected that there is a correlation between the stand density and the carbon content in tree biomass.…”

Section: Discussionmentioning

confidence: 66%

Aboveground Carbon Content and Storage in Mature Scots Pine Stands of Different Densities

Wegieł¹,

Polowy²

2020

Forests

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Background and Objectives: The continuous increase in the amount of atmospheric CO2 is a factor that significantly contributes to global warming. Forests can be used to mitigate climate change by absorbing carbon and storing it. Scots pine (Pinus sylvestris L.) is the most abundant tree species in Polish forests and can substantially aid carbon accumulation. The aim of the study was to determine the carbon content in the dry mass of various parts of Scots pine trees and to evaluate the relationship between the accumulation of carbon in aboveground tree biomass and some stand parameters. Materials and Methods: The research was carried out in 20 even-aged (81–90 years old) Scots pine stands in northwestern Poland (Drawno Forest District). The densities of these stands ranged from 476 to 836 trees per hectare. The aboveground biomass was calculated as the sum of the following tree compartments: stem (wood and bark), dead branches, thick branches, thin branches and needles. The carbon content and storage in these compartments was determined. Results: The mean carbon content was lowest in stem wood (47.0%) and highest in needles (50.3%). No correlation between the stand density and the level of carbon stored in the aboveground biomass of Scots pines was found.

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Simulation of silvicultural scenarios and economic efficiency

Cited by 9 publications

References 12 publications

A silvicultural stand density model to control understory in maritime pine stands

A silvicultural stand density model to control understory in maritime pine stands

Relationship between stand density and value of timber assortments: a case study for Scots pine stands in north-western Poland

Aboveground Carbon Content and Storage in Mature Scots Pine Stands of Different Densities

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