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摘要:
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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篇名 Using Biophysical Variables and Stand Density to Estimate Growth and Yield of <i>Pinus patula</i>in Antioquia, Colombia
来源期刊 林学期刊(英文) 学科 医学
关键词 Von BERTALANFFY Chapman-Richards Fixed-Effect Models Forest Productivity MEXICAN Pine Mean Annual INCREMENT
年,卷(期) 2019,(3) 所属期刊栏目
研究方向 页码范围 195-213
页数 19页 分类号 R73
字数 语种
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研究主题发展历程
节点文献
Von
BERTALANFFY
Chapman-Richards
Fixed-Effect
Models
Forest
Productivity
MEXICAN
Pine
Mean
Annual
INCREMENT
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研究来源
研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
林学期刊(英文)
季刊
2163-0429
武汉市江夏区汤逊湖北路38号光谷总部空间
出版文献量(篇)
314
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0
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0
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