Grouping species for predicting mixed tropical forest dynamics: looking for a strategy
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 e...
| Autores principales: | , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
2005
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/19380 |
| _version_ | 1855519066129694720 |
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| author | Gourlet-Fleury, S. Blanc, Lilian Picard, N. Sist, P. Dick, J. Nasi, Robert Swaine, M. Forni, E. |
| author_browse | Blanc, Lilian Dick, J. Forni, E. Gourlet-Fleury, S. Nasi, Robert Picard, N. Sist, P. Swaine, M. |
| author_facet | Gourlet-Fleury, S. Blanc, Lilian Picard, N. Sist, P. Dick, J. Nasi, Robert Swaine, M. Forni, E. |
| author_sort | Gourlet-Fleury, S. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | 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. |
| format | Journal Article |
| id | CGSpace19380 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2005 |
| publishDateRange | 2005 |
| publishDateSort | 2005 |
| record_format | dspace |
| spelling | CGSpace193802025-01-24T14:12:19Z Grouping species for predicting mixed tropical forest dynamics: looking for a strategy Gourlet-Fleury, S. Blanc, Lilian Picard, N. Sist, P. Dick, J. Nasi, Robert Swaine, M. Forni, E. species diversity classification models comparisons tropical forests 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. 2005 2012-06-04T09:09:23Z 2012-06-04T09:09:23Z Journal Article https://hdl.handle.net/10568/19380 en Gourlet-Fleury, S., Blanc, L., Picard, N., Sist, P., Dick, J., Nasi, R., Swaine, M., Forni, E. 2005. Grouping species for predicting mixed tropical forest dynamics: looking for a strategy . Annals of Forest Science 62 :785-796. ISSN: 1286-4560. |
| spellingShingle | species diversity classification models comparisons tropical forests Gourlet-Fleury, S. Blanc, Lilian Picard, N. Sist, P. Dick, J. Nasi, Robert Swaine, M. Forni, E. Grouping species for predicting mixed tropical forest dynamics: looking for a strategy |
| title | Grouping species for predicting mixed tropical forest dynamics: looking for a strategy |
| title_full | Grouping species for predicting mixed tropical forest dynamics: looking for a strategy |
| title_fullStr | Grouping species for predicting mixed tropical forest dynamics: looking for a strategy |
| title_full_unstemmed | Grouping species for predicting mixed tropical forest dynamics: looking for a strategy |
| title_short | Grouping species for predicting mixed tropical forest dynamics: looking for a strategy |
| title_sort | grouping species for predicting mixed tropical forest dynamics looking for a strategy |
| topic | species diversity classification models comparisons tropical forests |
| url | https://hdl.handle.net/10568/19380 |
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