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The effect of size and competition on tree growth rate in old-growth coniferous forests

竞赛(生物学) 增长率 阿卡克信息准则 生态学 树(集合论) 储存效应 生物 增长模型 统计 计量经济学 数学 数学分析 几何学 数理经济学
作者
Adrian J. Das
出处
期刊:Canadian Journal of Forest Research [Canadian Science Publishing]
卷期号:42 (11): 1983-1995 被引量:69
标识
DOI:10.1139/x2012-142
摘要

Tree growth and competition play central roles in forest dynamics. Yet models of competition often neglect important variation in species-specific responses. Furthermore, functions used to model changes in growth rate with size do not always allow for potential complexity. Using a large data set from old-growth forests in California, models were parameterized relating growth rate to tree size and competition for four common species. Several functions relating growth rate to size were tested. Competition models included parameters for tree size, competitor size, and competitor distance. Competitive strength was allowed to vary by species. The best ranked models (using Akaike’s information criterion) explained between 18% and 40% of the variance in growth rate, with each species showing a strong response to competition. Models indicated that relationships between competition and growth varied substantially among species. The results also suggested that the relationship between growth rate and tree size can be complex and that how we model it can affect not only our ability to detect that complexity but also whether we obtain misleading results. In this case, for three of four species, the best model captured an apparent and unexpected decline in potential growth rate for the smallest trees in the data set.
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