A comprehensive analysis of teak plantation investment in Colombia

Restrepo, Héctor I.; Orrego, Sergio A.

doi:10.1016/j.forpol.2015.05.001

Cited by 14 publications

(6 citation statements)

References 37 publications

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“…Forest-based investments should be focused on sites with high productivity, ensuring high profitability. For the region studied, teak plantations can achieve an average annual increment of 27.8 m 3 ha -1 year -1 after six years (Restrepo and Orrego 2015). This is higher than the values reported for some Latin American countries (Alvarado and Mata 2013).…”

Section: Modelcontrasting

confidence: 54%

Modeling dominant height growth of teak plantations in the Caribbean region of Colombia

Martínez,

Orrego

2024

J.For.Bus.Res.

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Identifying sites with adequate biological productivity is a critical factor in ensuring timber production and the profitability of forest-based investments. The productivity of forest sites is influenced by climatic, edaphic and topographic variables, as well as by silvicultural practices. Site index is a phytocentric method widely used to assess site productivity and its estimation is based on dominant height growth modeling. Teak is the fifth most planted forest species in Colombia, and its importance is associated with high economic returns and profitability. This study aims to model dominant height growth using the generalized algebraic difference approach for teak plantations established in the Caribbean region of Colombia. The Lundqvist-Korf model, in which the correlation of the residuals was handled with a continuous autoregressive specification of the first order, resulted in a satisfactory statistical estimation of the dominant height growth. The results indicate that in the Caribbean region of Colombia, productive sites for the establishment of teak plantations can be found as productive as in some tropical American countries and better than some sites in Asian countries. This suggests a potential for the expansion of teak plantations and forest-based investments in Colombia.

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Section: Modelcontrasting

confidence: 54%

Modeling dominant height growth of teak plantations in the Caribbean region of Colombia

Martínez,

Orrego

2024

J.For.Bus.Res.

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“…The MAI for the best SI in the study area was 15.3 m 3 ha −1 year −1 at an age of 15 years for the SPS and a density of 160 trees ha −1 . For 6 years old teak plantations, growth rates of 27.8 m 3 ha −1 year −1 have been recorded in Colombia [53] and between 3.4 and 11.5 m 3 ha −1 year −1 in Ivory Coast [54].…”

Section: Teak Production In Spsmentioning

confidence: 99%

Growth and Yield Models for Teak Planted as Living Fences in Coastal Ecuador

Cañadas-López

Andrade-Candell

Domínguez-A

et al. 2018

Forests

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Teak plantations cover a total area of about 4.35 million ha worldwide. The species is currently being planted in silvopastoral systems in the coastal lowlands of Ecuador. However, there are no growth and yield models for teak grown in silvopastoral systems, especially as living fences, in this region. The aim of the present study was to develop volume and yield models for teak grown as living fences in silvopastoral systems. For teak planted as living fences, the biological rotation age was estimated to vary between 15 and 26 years. The final yield in the silvopastoral system varied from 49 m 3 ha −1 at 26 years in the least productive sites to 225 m 3 ha −1 at 15 years in the most productive sites in the study area. The mean annual yield for the highest quality site was 15.3 m 3 ha −1 year −1 at age 15 years, for a density of 160 trees ha −1 . For a base age of 10 years, height-based site indexes of nine to 23 m were established. The growth and yield model obtained may be useful to define the biological (optimal) rotation age and estimate the productivity of teak living fences in the coastal lowlands of Ecuador.

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“…The vBCR model has been extensively examined worldwide for many species (Buford & Burkhart, 1987;Fekedulegn et al, 1999;Moser & Hall, 1969;Pienaar & Turnbull, 1973;Pienaar, 1979;Zeide, 1993), as well as in Colombia for Acacia mangium (Torres & del Valle, 2007), Eucalyptus sp. (Zapata-Cuartas, 2007), Pinus patula (Restrepo et al, 2012), and Tectona grandis (Restrepo & Orrego, 2015;Restrepo et al, 2012;Torres et al, 2012). Likewise, the vBCR parameters have been expressed as a function of covariates (Bravo-Oviedo et al, 2007;Hall & Bailey, 2001;Louw & Scholes, 2006).…”

Section: Introductionmentioning

confidence: 99%

Using Biophysical Variables and Stand Density to Estimate Growth and Yield of <i>Pinus patula</i> in Antioquia, Colombia

Restrepo¹,

Orrego²,

Salazar-Uribe³

et al. 2019

OJF

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Timberland investment opportunities in Colombia are expected to increase as a result of the peace agreement recently signed between the Colombian government and the Revolutionary Armed Forces of Colombia. This new socio-political environment may facilitate the expansion of commercial forest plantations on a wider range of site conditions that are currently considered in existing biometric tools. Data from 1119 temporary plots of unthinned, unmanaged, and genetically unimproved Pinus patula plantations in the Antioquia region were combined with a large set of biophysical attributes to identify spatial variation in yield. A wide array of biophysical covariates was explored to characterize the most favorable environmental conditions for the species, and to identify potential explanatory variables to be included in forest yield models. The mathematical form of the model is the von Bertalanffy-Chapman-Richards type, with parameters: asymptote, intrinsic growth rate and allometric constant. The parameters were expressed as linear functions of soil pH, terrain slope, the mean annual temperature to mean annual precipitation ratio, and stand density. The statistical contribution of selected covariates was evaluated using the likelihood ratio test. The model was validated using an independent set of 133 observations. The spatial representation of the model depicts the timber production potential and allows for the identification of the most suitable geographical areas to establish Pinus patula plantations in Antioquia, Colombia. The estimated yield model provides a reliable baseline for timber production, and insight into timberland investments in Colombia.

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A comprehensive analysis of teak plantation investment in Colombia

Cited by 14 publications

References 37 publications

Modeling dominant height growth of teak plantations in the Caribbean region of Colombia

Modeling dominant height growth of teak plantations in the Caribbean region of Colombia

Growth and Yield Models for Teak Planted as Living Fences in Coastal Ecuador

Using Biophysical Variables and Stand Density to Estimate Growth and Yield of <i>Pinus patula</i> in Antioquia, Colombia

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A comprehensive analysis of teak plantation investment in Colombia

Cited by 14 publications

References 37 publications

Modeling dominant height growth of teak plantations in the Caribbean region of Colombia

Modeling dominant height growth of teak plantations in the Caribbean region of Colombia

Growth and Yield Models for Teak Planted as Living Fences in Coastal Ecuador

Using Biophysical Variables and Stand Density to Estimate Growth and Yield of &lt;i&gt;Pinus patula&lt;/i&gt; in Antioquia, Colombia

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Using Biophysical Variables and Stand Density to Estimate Growth and Yield of <i>Pinus patula</i> in Antioquia, Colombia