Habitat filtering influences the phylogenetic structure of avian communities across a coastal gradient in southern Brazil

The evolution of a particular trait or combination of traits within lineages may affect subsequent evolutionary outcomes, leading closely related species to exhibit higher phenotypic similarity than expected under a simple Brownian‐motion evolutionary model. Niche theory postulates that phenotypes d...

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Published inAustral ecology Vol. 39; no. 1; pp. 29 - 38
Main Authors Gianuca, Andros Tarouco, Dias, Rafael Antunes, Debastiani, Vanderlei Júlio, Duarte, Leandro D. S
Format Journal Article
LanguageEnglish
Published Richmond Blackwell Science 01.02.2014
Blackwell Publishing Ltd
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Abstract The evolution of a particular trait or combination of traits within lineages may affect subsequent evolutionary outcomes, leading closely related species to exhibit higher phenotypic similarity than expected under a simple Brownian‐motion evolutionary model. Niche theory postulates that phenotypes determine species distribution across environmental gradients, leading to a phylogenetic signature in the community assembly. Thus, the incorporation of species phylogeny in the analysis of community ecology structure allows one to link broader environmental, spatial and temporal factors to local, small‐scale ecological processes, thus enabling understanding of community assembly patterns in a broader context. We used the net relatedness index to assess phylogenetic structure within avian communities across a harshness gradient in coastal habitats in southern Brazil. We also evaluated phylogenetic beta diversity, to test whether closely related species exploit habitats with similar environmental conditions. In order to do so, we scaled up phylogenetic information from the species to site level using phylogenetic fuzzy weighting. We found a pattern of phylogenetic clustering in less‐vegetated habitats, namely sandy beach and dunes, which are subject to harsher conditions because of proximity to the ocean. Basal lineages were associated with the more structurally homogeneous sandy beach, while late‐divergence clades occurred in more complex habitats, which were positively related to vegetation cover and height. The observed pattern of phylogenetic clustering suggested the importance of harsh conditions in constraining the distribution of avian lineages. Furthermore, contrasting environmental features between habitats influenced phylogenetic variation, demonstrating the prevalence of phylogenetic habitat filtering. From an applied point of view, such as planning and management of biological reserves, we showed that the full array of habitat patches embedded within coastal ecological gradients must be included in order to preserve distinct evolutionary lineages.
AbstractList The evolution of a particular trait or combination of traits within lineages may affect subsequent evolutionary outcomes, leading closely related species to exhibit higher phenotypic similarity than expected under a simple Brownian‐motion evolutionary model. Niche theory postulates that phenotypes determine species distribution across environmental gradients, leading to a phylogenetic signature in the community assembly. Thus, the incorporation of species phylogeny in the analysis of community ecology structure allows one to link broader environmental, spatial and temporal factors to local, small‐scale ecological processes, thus enabling understanding of community assembly patterns in a broader context. We used the net relatedness index to assess phylogenetic structure within avian communities across a harshness gradient in coastal habitats in southern Brazil. We also evaluated phylogenetic beta diversity, to test whether closely related species exploit habitats with similar environmental conditions. In order to do so, we scaled up phylogenetic information from the species to site level using phylogenetic fuzzy weighting. We found a pattern of phylogenetic clustering in less‐vegetated habitats, namely sandy beach and dunes, which are subject to harsher conditions because of proximity to the ocean. Basal lineages were associated with the more structurally homogeneous sandy beach, while late‐divergence clades occurred in more complex habitats, which were positively related to vegetation cover and height. The observed pattern of phylogenetic clustering suggested the importance of harsh conditions in constraining the distribution of avian lineages. Furthermore, contrasting environmental features between habitats influenced phylogenetic variation, demonstrating the prevalence of phylogenetic habitat filtering. From an applied point of view, such as planning and management of biological reserves, we showed that the full array of habitat patches embedded within coastal ecological gradients must be included in order to preserve distinct evolutionary lineages.
The evolution of a particular trait or combination of traits within lineages may affect subsequent evolutionary outcomes, leading closely related species to exhibit higher phenotypic similarity than expected under a simple Brownian-motion evolutionary model. Niche theory postulates that phenotypes determine species distribution across environmental gradients, leading to a phylogenetic signature in the community assembly. Thus, the incorporation of species phylogeny in the analysis of community ecology structure allows one to link broader environmental, spatial and temporal factors to local, small-scale ecological processes, thus enabling understanding of community assembly patterns in a broader context. We used the net relatedness index to assess phylogenetic structure within avian communities across a harshness gradient in coastal habitats in southern Brazil. We also evaluated phylogenetic beta diversity, to test whether closely related species exploit habitats with similar environmental conditions. In order to do so, we scaled up phylogenetic information from the species to site level using phylogenetic fuzzy weighting. We found a pattern of phylogenetic clustering in less-vegetated habitats, namely sandy beach and dunes, which are subject to harsher conditions because of proximity to the ocean. Basal lineages were associated with the more structurally homogeneous sandy beach, while late-divergence clades occurred in more complex habitats, which were positively related to vegetation cover and height. The observed pattern of phylogenetic clustering suggested the importance of harsh conditions in constraining the distribution of avian lineages. Furthermore, contrasting environmental features between habitats influenced phylogenetic variation, demonstrating the prevalence of phylogenetic habitat filtering. From an applied point of view, such as planning and management of biological reserves, we showed that the full array of habitat patches embedded within coastal ecological gradients must be included in order to preserve distinct evolutionary lineages. [PUBLICATION ABSTRACT]
Author Debastiani, Vanderlei Júlio
Duarte, Leandro D. S.
Gianuca, Andros Tarouco
Dias, Rafael Antunes
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Appendix S1. List of species recorded in coastal grasslands, dunes and beach during the summer and winter.
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References_xml – reference: Bugoni L., Cormons T. D., Boyne A. W. & Hays H. (2005) Feeding grounds, daily foraging activities, and movements of Common Terns in Southern Brazil, determined by radio-telemetry. Waterbirds 28, 468-477.
– reference: Duarte L. D. S. (2011) Phylogenetic habitat filtering influences forest nucleation in grasslands. Oikos 120, 208-215.
– reference: Meynard C. N. & Quinn J. F. (2008) Bird metacommunities in temperate South American forest: vegetation structure, area and climate effects. Ecology 89, 981-990.
– reference: Webb C. O., Ackerly D. D., McPeek M. A. & Donoghue M. J. (2002) Phylogenies and community ecology. Annu. Rev. Ecol. Evol. Systemat. 33, 475-505.
– reference: Weiher E. & Keddy P. (1999) Ecological Assembly Rules. Perspectives, Advances, Retreats. Cambridge University Press, Cambridge.
– reference: Gotelli N. J. & Ellison A. M. (2004) A Primer of Ecological Statistics. Sinauer Associates, Sunderland.
– reference: Webb C. O., Ackerly D. D. & Kembel S. W. (2008) Phylocom: software for the analysis of phylogenetic community structure and character evolution. Bioinformatics 24, 2098-2100.
– reference: Pillar V. D., Duarte L. D. S., Sosinski E. E. & Joner F. (2009) Discriminating trait-convergence and trait-divergence assembly patterns in ecological community gradients. J. Veg. Sci. 20, 334-348.
– reference: Schlossberg S., King D. I., Chandler R. B. & Mazzei B. (2010) Regional synthesis of habitat relationships in shrubland birds. J. Wildl. Manage. 74, 1513-1522.
– reference: Bibby C. J., Burgess N. D. & Hill D. A. (1992) Bird Census Techniques. Academic Press, London.
– reference: Leibold M. A., Holyoak M., Mouquet N. et al. (2004) The metacommunity concept: a framework for multi-scale community ecology. Ecol. Lett. 7, 601-613.
– reference: Oosting H. J. (1945) Tolerance to salt spray of plants of coastal dunes. Ecology 26, 85-89.
– reference: MacArthur R. H. & MacArthur J. W. (1961) On bird species diversity. Ecology 42, 594-598.
– reference: Debastiani V. J. & Pillar V. D. (2012) SYNCSA - R tool for analysis of metacommunities based on functional traits and phylogeny of the community components. Bioinformatics 28, 2067-2068.
– reference: Ralph C. J., Geupel G. R., Pyle P., Martin T. E. & DeSante D. F. (1993) Handbook of Field Methods for Monitoring Landbirds. Gen. Tech. Rep. PSW-GTR-144-www. Pacific Southwest Research Station, Forest Service, U.S. Department of Agriculture, Albany.
– reference: Tews J., Brose U., Grimm V. et al. (2004) Animal species diversity driven by habitat heterogeneity/diversity: the importance of keystone structures. J. Biogeogr. 31, 79-92.
– reference: Anderson M. J. (2003) PCO: A FORTRAN Computer Program for Principal Coordinate Analysis. Department of Statistics, University of Auckland, Auckland.
– reference: Atkinson P. W., Fuller R. A., Gillings S. & Vickery J. A. (2006) Counting birds on farmland habitats in winter. Bird Study 53, 303-309.
– reference: Pillar V. D. & Orlóci L. (1996) On randomization testing in vegetation science: multifactor comparisons of relevé groups. J. Veg. Sci. 7, 585-592.
– reference: MacArthur R. & Levins R. (1967) The limiting similarity, convergence, and divergence of coexisting species. Am. Nat. 101, 377-385.
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Snippet The evolution of a particular trait or combination of traits within lineages may affect subsequent evolutionary outcomes, leading closely related species to...
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SubjectTerms Beaches
biogeography
Birds
Brazil
Community ecology
dunes
Environmental conditions
environmental factors
Environmental gradient
Evolution
Habitats
niche conservatism
phylogenetic beta diversity
phylogenetic clustering
phylogenetic fuzzy-weighting
Phylogenetics
Phylogeny
planning
principal coordinates of phylogenetic structure
species diversity
Vegetation cover
Title Habitat filtering influences the phylogenetic structure of avian communities across a coastal gradient in southern Brazil
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