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Author  |
Paine, C.E.T.; Baraloto, C.; Díaz, S. |
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Title |
Optimal strategies for sampling functional traits in species-rich forests |
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Journal Article |
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2015 |
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Functional Ecology |
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Functional Ecology |
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29 |
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10 |
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1325-1331 |
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French Guiana; Functional traits; Plant traits; Sampling design; Specific leaf area; Tropical forest; Wood density |
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Abstract |
Functional traits provide insight into a variety of ecological questions, yet the optimal sampling method to estimate the community-level distribution of plant functional trait values remains a subject of debate, especially in species-rich forests. We present a simulation analysis of the trait distribution of a set of nine completely sampled permanent plots in the lowland rain forests of French Guiana. Increased sampling intensity consistently improved accuracy in estimating community-weighted means and variances of functional trait values, whereas there was substantial variation among functional traits and minor differences among sampling strategies. Thus, investment in intensified sampling yields a greater improvement in the accuracy of estimation than does an equivalent investment in sampling design complication. Notably, 'taxon-free' strategies frequently had greater accuracy than did abundance-based strategies, which had the additional cost of requiring botanical surveys. We conclude that there is no substitute for extensive field sampling to accurately characterize the distribution of functional trait values in species-rich forests. © 2015 British Ecological Society. |
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Instituto Multidisciplinario de Biología Vegetal (IMBIV-CONICET), Departamento de Diversidad Biológica y Ecología, FCEFyN, Universidad Nacional de Córdoba, CC 495, Córdoba, Argentina |
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Export Date: 12 October 2015 |
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EcoFoG @ webmaster @ |
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630 |
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