A distance‐based framework for measuring functional diversity from multiple traits

Ecology - Tập 91 Số 1 - Trang 299-305 - 2010
Étienne Laliberté1, Pierre Legendre2
1School of Forestry, University of Canterbury, Private Bag 4800, Christchurch 8140, New Zealand
2Département de Sciences Biologiques, Université de Montréal, C.P. 6128, Succursale Centre-Ville, Montréal H3C 3J7 Canada

Tóm tắt

A new framework for measuring functional diversity (FD) from multiple traits has recently been proposed. This framework was mostly limited to quantitative traits without missing values and to situations in which there are more species than traits, although the authors had suggested a way to extend their framework to other trait types. The main purpose of this note is to further develop this suggestion. We describe a highly flexible distance‐based framework to measure different facets of FD in multidimensional trait space from any distance or dissimilarity measure, any number of traits, and from different trait types (i.e., quantitative, semi‐quantitative, and qualitative). This new approach allows for missing trait values and the weighting of individual traits. We also present a new multidimensional FD index, called functional dispersion (FDis), which is closely related to Rao's quadratic entropy. FDis is the multivariate analogue of the weighted mean absolute deviation (MAD), in which the weights are species relative abundances. For unweighted presence–absence data, FDis can be used for a formal statistical test of differences in FD. We provide the “FD” R language package to easily implement our distance‐based FD framework.

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Tài liệu tham khảo

10.1111/j.1541-0420.2005.00440.x

10.1111/j.1461-0248.2006.00926.x

10.1111/1467-842X.00285

10.1111/j.1654-1103.2005.tb02393.x

10.1007/BF02294026

10.1071/BT02124

10.1073/pnas.0704716104

10.2307/1293644

10.1146/annurev.ecolsys.35.021103.105711

Gitay H., 1997, Plant functional types: their relevance to ecosystem properties and global change, 3

10.2307/2528823

Gower J. C., 1982, Euclidean distance geometry., Mathematical Scientist, 7, 1

10.1007/BF01896809

10.1046/j.1365-2745.1998.00306.x

10.1890/04-0922

10.1111/j.1365-2435.2007.01339.x

10.1890/0012-9615(1999)069[0001:DBRATM]2.0.CO;2

10.1890/05-0549

Legendre P., 1998, Numerical ecology. Second English edition

Levene H., 1960, Contributions to probability and statistics, 278

10.1007/BF02291398

10.1111/j.1654-1103.2003.tb02184.x

10.1111/j.1365-2745.2008.01395.x

10.1111/j.1600-0706.2008.16668.x

10.1046/j.1461-0248.2002.00339.x

10.1111/j.1461-0248.2006.00924.x

10.2307/1224438

R Development Core Team., 2009, R: a language and environment for statistical computing

10.1016/0040-5809(82)90004-1

10.1016/j.baae.2005.02.008

10.1126/science.277.5330.1300

10.1890/07-1206.1

10.1111/j.1461-0248.2005.00850.x

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Ecology

Tập 91 Số 1

299-305

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