Deterministic Models of Growth and Mortality for Jack Pine in Boreal Forests of Western Canada
Deterministic Models of Growth and Mortality for Jack Pine in Boreal Forests of Western Canada
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加拿大西部北方森林短叶松生长和死亡的确定性模型
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
P. Comeau
中科院分区：
文献类型：
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作者：
Vlad C. Strimbu;M. Bokalo;P. Comeau
建立了短叶松（Pinus banksiana Lamb.）单木确定性生长和死亡模型。使用来自加拿大阿尔伯塔、萨斯喀彻温和马尼托巴的永久样地的数据。采用非线性混合效应模型拟合树高和胸径生长量方程。采用Logistic混合模型，根据树木和林分特征估计短叶松的存活概率。由此产生的模型表明：（1）杰克松生长的显着影响竞争;（2）竞争效应不同的物种组之间;（3）生存概率的影响树的大小和生长，林分组成，和林分密度。选定的生长和死亡率函数的估计系数实施到混合木材生长模型（MGM）和模拟预测进行了评估，对独立测量数据。验证结果表明，MGM模型可以有效地模拟短叶松树和林分，为管理规划提供支持。
We developed individual tree deterministic growth and mortality models for jack pine (Pinus banksiana Lamb.) using data from permanent sample plots in Alberta, Saskatchewan and Manitoba, Canada. Height and diameter increment equations were fitted using nonlinear mixed effects models. Logistic mixed models were used to estimate jack pine survival probability based on tree and stand characteristics. The resulting models showed that (1) jack pine growth is significantly influenced by competition; (2) competitive effects differ between species groups; and (3) survival probability is affected by tree size and growth, stand composition, and stand density. The estimated coefficients of selected growth and mortality functions were implemented into the Mixedwood Growth Model (MGM) and the simulated predictions were evaluated against independently measured data. The validation showed that the MGM can effectively model jack pine trees and stands, providing support for its use in management planning.