G2TT
来源类型Articles
规范类型论文
ISSN1286-4560
Grouping species for predicting mixed tropical forest dynamics: looking for a strategy
Nakajima, Y.; Ishizuka, S.; Tsuruta, H.; Iswandi, A.; Murdiyarso, D.
发表日期2005
出处Annals of Forest Science 62: 785-796
出版年2005
语种英语
摘要

The high species diversity of mixed tropical forests hinders the development of forest dynamic models. A solution commonly adopted is to cluster species in groups. There are various methods for grouping species that can be linked to three strategies (i) the ecological subjective strategy, (ii) the ecological data-driven strategy, and (iii) the dynamic process strategy. In the first two strategies a species will be assigned to a single group while in the latter strategy, a specific grouping is defined for each process of population dynamics (typically based on recruitment, growth, mortality). Little congruency or convergence is observed in the literature between any two classifications of species. This may be explained by the independence between the sets of tree characters used to build species groups, or by the intra-specific variability
of these characters. We therefore recommend the dynamic process strategy as the most convenient strategy for building groups of species.

主题species diversity ; classification ; models ; comparisons ; tropical forests
URLhttps://www.cifor.org/library/1961/
来源智库Center for International Forestry Research (Indonesia)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/90774
推荐引用方式
GB/T 7714
Nakajima, Y.,Ishizuka, S.,Tsuruta, H.,et al. Grouping species for predicting mixed tropical forest dynamics: looking for a strategy. 2005.
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