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Erschienen in:

2014 | OriginalPaper | Buchkapitel

5. Phylogenetic and Functional Beta Diversity

verfasst von : Nathan G. Swenson

Erschienen in: Functional and Phylogenetic Ecology in R

Verlag: Springer New York

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Abstract

The first objective of this chapter is to introduce the conceptual and empirical background for why phylogenetic and functional analyses of beta diversity are of interest to ecologists. This is followed by detailed instructions on how to calculate in R the major metrics of phylogenetic and functional beta diversity that are most commonly employed in the literature. The ultimate goal is to obtain a robust conceptual and practical knowledge of phylogenetic and functional beta diversity.

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Vorheriges Kapitel Functional Diversity

Nächstes Kapitel Null Models

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64.

Swenson, N.G., D.L. Erickson, X. Mi, N.A. Bourge, J. Forero-Montana, X. Ge, R. Howe, J.K. Lake, X. Liu, K. Ma, N. Pei, J. Thompson, M. Uriarte, A. Wolf, S.J. Wright, W. Ye, J. Zhang, J.K. Zimmerman, and W.J. Kress. 2012. Phylogenetic and functional alpha and beta diversity in temperate and tropical tree communities. Ecology 93: S112–S125.CrossRef

68.

Rao, C.R. 1982. Diversity and dissimilarity coefficients: A unified approach. Theoretical Population Biology 21: 24–43.CrossRefMATHMathSciNet

80.

Swenson, N.G., P. Anglada-Cordero, and J.A. Barone. 2011. Deterministic tropical tree community turnover: Evidence from patterns of functional beta diversity along an elevational gradient. Proceedings of the Royal Society B 278: 877–884.CrossRef

89.

Siefert, A., C. Ravenscroft, M.D. Weiser, and N.G. Swenson. 2013. Functional beta diversity patterns reveal deterministic community assembly processes in eastern North American trees. Global Ecology and Biogeography 22: 682–691.CrossRef

105.

Tuomisto, H., and K. Ruokolainen. 2006. Analyzing of explaining beta diversity? Understanding the targets of different methods of analysis. Ecology 87: 2697–2708.CrossRef

106.

Legendre, P., D. Borcard, and P.R. Peres-Neto. 2008. Analyzing of explaining beta diversity? Comment. Ecology 89: 3238–3244.CrossRef

107.

Tuomisto, H., and K. Ruokolainen. 2008. Analyzing or explaining beta diversity? Reply. Ecology 89: 3244–3256.CrossRef

108.

Anderson, M.J., T.O. Crist, J.M. Chase, M. Vellend, B.D. Inouye, A.L. Freestone, N.J. Sanders, H.V. Cornell, L.S. Comita, K.F. Davies, S.P. Harrison, N.J.B. Kraft, J.C. Stegen, and N.G. Swenson. 2011. Navigating the multiple meanings of beta diversity: A roadmap for the practicing ecologist. Ecology Letters 14: 19–28.CrossRef

109.

Fukami, T., T.M. Bezemer, S.R. Mortimer, and W.H. van der Putten. 2005. Species divergence and trait convergence in experimental plant community assembly. Ecology Letters 8: 1283–1290.CrossRef

110.

Swenson, N.G., J.C. Stegen, S.J. Davies, D.L. Erickson, J. Forero-Montana, A.H. Hurlbert, W.J. Kress, J. Thompson, M. Uriarte, S.J. Wright, and J.K. Zimmerman. 2012. Temporal turnover in the composition of tropical tree communities: Functional determinism and phylogenetic stochasticity. Ecology 93: 490–499.CrossRef

111.

Zhang, J., N.G. Swenson, S. Chen, X. Liu, Z. Li, J. Huang, X. Mi, and K. Ma. 2013. Phylogenetic beta diversity in tropical forests: Implications for the role of geographical and environmental distance. Journal of Systematics and Evolution 51: 71–85.CrossRef

112.

Swenson, N.G. 2011. Phylogenetic beta diversity metrics, trait evolution and inferring the functional beta diversity of communities. PLoS One 6: e21264.CrossRef

113.

Martin, A.P. 2002. Phylogenetic approaches for describing and comparing the diversity of microbial communities. Applied and Environmental Microbiology 68: 3673–3682.CrossRef

114.

Lozupone, C., and R. Knight. 2005. UniFrac: A new phylogenetic method for comparing microbial communities. Applied and Environmental Microbiology 71: 8228–8235.CrossRef

115.

Graham, C.H., and P.V.A. Fine. 2008. Phylogenetic beta diversity: Linking ecological and evolutionary processes across space and time. Ecology Letters 11: 1265–1277.CrossRef

116.

Lozupone, C.A., M. Hamady, S.T. Kelley, and R. Knight. 2007. Quantitative and qualitative beta diversity measures lead to different insights into factors that structure microbial communities. Applied Environmental Microbiology 73: 1576–1585.CrossRef

117.

Chen, J., K. Bittinger, E.S. Charlson, C. Hoffmann, J. Lewis, G.D. Wu, R.G. Collman, F.D. Bushman, and H. Li. 2012. Associating microbiome composition with environmental covariates using generalized UniFrac distances. Bioinformatics 28: 2106–2113.CrossRef

118.

Chang, Q., Y. Luan, and F. Sun. 2011. Variance adjusted weighted UniFrac: A powerful beta diversity measure for comparing communities based on phylogeny. BMC Bioinformatics 12: 118.CrossRef

119.

Bryant, J.B., C. Lamanna, H. Morlon, A.J. Kerkhoff, B.J. Enquist, and J.L. Green. 2008. Microbes on mountainsides: Contrasting elevational patterns of bacterial and plant diversity. Proceedings of the National Academy of Sciences of the United States of America 105: 7774–7778.CrossRef

120.

Ricotta, C., and S. Burrascano. 2008. Beta diversity for functional ecology. Preslia 80: 61–71.

121.

Ricotta, C., and S. Burrascano. 2009. Testing for differences in beta diversity with asymmetric dissimilarities. Ecological Indicators 9: 719–724.CrossRef

Titel: Phylogenetic and Functional Beta Diversity
verfasst von: Nathan G. Swenson
Verlag: Springer New York
Buch: Functional and Phylogenetic Ecology in R
Print ISBN: 978-1-4614-9541-3

Electronic ISBN: 978-1-4614-9542-0

Copyright-Jahr: 2014
DOI: https://doi.org/10.1007/978-1-4614-9542-0_5

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