An extreme-value approach to detect clumping and an application to tropical forest gap-mosaic dynamics
Although forest tree pattern-dynamics has long been a focus for ecological theory, many aspects of basic analysis remain problematic.This paper describes, examines and illustrates an 'extreme-value' approach to clump detection. Simulations demonstrate that the approach, though simple, is sensitive a...
| Main Authors: | , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
2002
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/18572 |
| _version_ | 1855537423821307904 |
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| author | Sheil, Douglas Ducey, M.J. |
| author_browse | Ducey, M.J. Sheil, Douglas |
| author_facet | Sheil, Douglas Ducey, M.J. |
| author_sort | Sheil, Douglas |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Although forest tree pattern-dynamics has long been a focus for ecological theory, many aspects of basic analysis remain problematic.This paper describes, examines and illustrates an 'extreme-value' approach to clump detection. Simulations demonstrate that the approach, though simple, is sensitive and well suited to identifying aggregation, even in small data sets.Though powerful, the extreme-value tests are slightly conservative.The approach is adaptable to other null distributions and applications. An illustration uses tree data from a Ugandan forest plot with records from 1939 to 1992. One plausible explanation for observed stem increases in this plot is an unusually high incidence of large tree-fall events. Evidence for this is sought through spatial localization of various stem populations. Various technical and ecological aspects of the extreme-value approach and tree spatial analyses are discussed. |
| format | Journal Article |
| id | CGSpace18572 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2002 |
| publishDateRange | 2002 |
| publishDateSort | 2002 |
| record_format | dspace |
| spelling | CGSpace185722025-01-24T14:20:30Z An extreme-value approach to detect clumping and an application to tropical forest gap-mosaic dynamics Sheil, Douglas Ducey, M.J. forest trees distribution patterns aggregation experimental plots rain forests Although forest tree pattern-dynamics has long been a focus for ecological theory, many aspects of basic analysis remain problematic.This paper describes, examines and illustrates an 'extreme-value' approach to clump detection. Simulations demonstrate that the approach, though simple, is sensitive and well suited to identifying aggregation, even in small data sets.Though powerful, the extreme-value tests are slightly conservative.The approach is adaptable to other null distributions and applications. An illustration uses tree data from a Ugandan forest plot with records from 1939 to 1992. One plausible explanation for observed stem increases in this plot is an unusually high incidence of large tree-fall events. Evidence for this is sought through spatial localization of various stem populations. Various technical and ecological aspects of the extreme-value approach and tree spatial analyses are discussed. 2002 2012-06-04T09:08:34Z 2012-06-04T09:08:34Z Journal Article https://hdl.handle.net/10568/18572 en Sheil, D., Ducey, M.J. 2002. An extreme-value approach to detect clumping and an application to tropical forest gap-mosaic dynamics . Journal of Tropical Ecology 18 :671-686. ISSN: 0564-3295. |
| spellingShingle | forest trees distribution patterns aggregation experimental plots rain forests Sheil, Douglas Ducey, M.J. An extreme-value approach to detect clumping and an application to tropical forest gap-mosaic dynamics |
| title | An extreme-value approach to detect clumping and an application to tropical forest gap-mosaic dynamics |
| title_full | An extreme-value approach to detect clumping and an application to tropical forest gap-mosaic dynamics |
| title_fullStr | An extreme-value approach to detect clumping and an application to tropical forest gap-mosaic dynamics |
| title_full_unstemmed | An extreme-value approach to detect clumping and an application to tropical forest gap-mosaic dynamics |
| title_short | An extreme-value approach to detect clumping and an application to tropical forest gap-mosaic dynamics |
| title_sort | extreme value approach to detect clumping and an application to tropical forest gap mosaic dynamics |
| topic | forest trees distribution patterns aggregation experimental plots rain forests |
| url | https://hdl.handle.net/10568/18572 |
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