Grouping species for predicting mixed tropical forest dynamics: looking for a strategy

被引:54
作者
Gourlet-Fleury, S
Blanc, L
Picard, N
Sist, P
Dick, J
Nasi, R
Swaine, MD
Forni, E
机构
[1] Cirad Foret, F-34398 Montpellier, France
[2] Cirad Foret, F-97387 Guyane, France
[3] EMBRAPA, Cirad Foret, BR-66095100 Belem, Para, Brazil
[4] Ctr Ecol & Hydrol, Penicuik EH26 0QB, Midlothian, Scotland
[5] Cirad Foret, CIFOR, F-34398 Montpellier, France
[6] Univ Aberdeen, Sch Biol Sci, Aberdeen AB24 3UU, Scotland
关键词
cross-comparisons; functional groups; modelling strategy; species classifications;
D O I
10.1051/forest:2005084
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
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.
引用
收藏
页码:785 / 796
页数:12
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