The influence of fire on phylogenetic and functional structure of woody savannas: Moving from species to individuals

Cianciaruso, Marcus V.; Silva, Igor A.; Batalha, Marco Antônio; Gaston, Kevin J.; Petchey, Owen L.

doi:10.1016/j.ppees.2011.11.004

Cited by 71 publications

(89 citation statements)

References 72 publications

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“…As an example, in this study, the Brometalia seems more phylogenetically dispersed, while a multi-trait approach reveals a more under-dispersed pattern. Thus, in agreement with other recent studies (Kluge & Kessler 2011, Cianciaruso et al 2012, our analysis suggests that the phylogeny might not be the better surrogate of the functional space. However, this conclusion may depend on the chosen traits, and needs to consider the relative importance of biotic and abiotic filters shaping a community.…”

Section: Complementary Responses Of Biodiversity Facetssupporting

confidence: 90%

“…This is especially the case in phylogenetics, where the availability of numerous genetic sequences, as well as the increase of computing power combined with new computation methods led to reconstruct detailed phylogenies for various families of plants. Recently, some studies have emphasized the interest of studying multiple facets of biodiversity (Devictor et al 2010), including measures of phylogenetic structure and functional trait variation in communities across environmental gradients (Cianciaruso et al 2012, Bernard-Verdier et al 2013.…”

Section: Introductionmentioning

confidence: 99%

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Contrasted taxonomic, phylogenetic and functional diversity patterns in semi-natural permanent grasslands along an altitudinal gradient

Perronne¹,

Mauchamp²,

Mouly³

et al. 2014

Plecevo

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International audienceBackground and aims – Recent methodological and theoretical advances in community ecology have allowed more robust exploration of complementary facets of biodiversity in plant communities. Focusing on semi-natural permanent grasslands of the French Jura Mountains, we assessed how taxonomic, phylogenetic and functional diversity metrics vary among three phytosociological vegetation units. Methods – We selected a sample of 135 relevés out of a phytosociological database, depicting three phytosociological orders (Brometalia erecti, Arrhenatheretalia elatioris and Trifolio repentis-Phleetalia pratensis) and including 381 vascular plant species. We built a phylogenetic tree based on sequences of two genes encoding chloroplast proteins, from which we computed phylogenetic diversity metrics that we compared to various taxonomic, single-trait and multi-trait functional metrics, including community- weighted means of functional traits (CWMs).Key results – Most diversity metrics and CWMs significantly differed among vegetation units. Within each facet of biodiversity, the different metrics showed complementary results. Moreover, even when considering diversity metrics comparable in mathematical terms, i.e. based on Rao quadratic entropy, the results were largely non-redundant among the facets of biodiversity. Phylogenetic diversity and multi-trait functional diversity show opposite responses to vegetation units, as well as a low phylogenetic signal. These two results suggest that phylogenetic diversity cannot be used as a simple proxy for functional diversity.Conclusion – This study highlights the importance of taking into consideration different facets for a better understanding of biodiversity. In particular, phylogenetic and functional facets appear highly informative, and could thus be used in addition to taxonomic diversity metrics as indicators of conservation value

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Section: Complementary Responses Of Biodiversity Facetssupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Contrasted taxonomic, phylogenetic and functional diversity patterns in semi-natural permanent grasslands along an altitudinal gradient

Perronne¹,

Mauchamp²,

Mouly³

et al. 2014

Plecevo

View full text Add to dashboard Cite

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“…Many resource-related features in species pools from similar environments such as the Brazilian Cerrado show significant phylogenetic signal Baraloto et al 2012;Cianciaruso et al 2012), thus giving confidence to this interpretation. More severe environments select for ecologically more similar and phylogenetically more related species, while the importance of competition reduces, thus increasing phylogenetic clustering.…”

Section: Discussionmentioning

confidence: 78%

Environmental severity promotes phylogenetic clustering in campo rupestre vegetation

2015

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The stress-dominance hypothesis postulates that the importance of competition in plant communities declines with increasing environmental stress while the importance of environmental filters increases. To test this hypothesis for campo rupestre vegetation, we analyzed phylogenetic diversity and community structure of angiosperm communities at two study sites within the Itacolomi State Park, Minas Gerais, Brazil. Plots representing more favorable habitats, such as those with a higher percentage of rocky outcrops that might permit the tapping of deeper water and nutrient resources as well as higher contents of clay and loam thereby increasing water and nutrient availability, show higher phylogenetic diversity and therefore lower phylogenetic clustering than plots with more sever habitats. This observation is consistent with the stress-dominance hypothesis if we assume ecological niches to be conserved within evolutionary niches. However, more comprehensive studies including tests for phylogenetic signal of ecological niches are necessary before generalizations for larger regions may be carried out.

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“…We selected these four indices because they are commonly used in functional ecology Hidasi-Neto et al 2012;Best et al 2013;Coyle et al 2014), they represent different aspects of diversity and have different mathematical characteristics (Pavoine & Bonsall 2011). Although MNTD and MPD can be calculated with a raw distance matrix (Kembel et al 2010;2014), their interpretation is more intuitive when these indices are based on dendrograms, which is why their calculation using dendrograms is very common (e.g., Cianciaruso et al 2012;Hidasi-Neto et al 2012;Carvalho & Tejerina-Garro 2014;Dunck et al 2015).…”

Section: Functional Diversity Indices and Linkage Methodsmentioning

confidence: 99%

“…The Functional Diversity (FD) index is the sum of dendrogram branch lengths (Petchey & Gaston 2002), generated from a functional traits distance matrix, while the Mean Pairwise Distance (MPD) index is the average distance between pairs of species that compose a community (Webb 2000) and the Mean Nearest Taxon Distance (MNTD) index is equal to the average dendrogram lengths between the functionally most similar pairs of species in the community (Webb 2000). Although there are other continuous indices of functional diversity based on dendrograms (e.g., GFD Mouchet et al 2008;NMDS Cadotte et al 2009), the above mentioned indices are some of the most frequently used to describe functional richness and divergence in aquatic (Colzani et al 2013;Carvalho & Tejerina-Garro 2015;Dunck et al 2015) and terrestrial communities (e.g., Bihn et al 2010;Cianciaruso et al 2012;Hidasi-Neto et al 2012).…”

Section: Introductionmentioning

confidence: 99%

Assessing the spatial variation of functional diversity estimates based on dendrograms in phytoplankton communities

2017

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Variation in phytoplankton functional diversity is partioned and mapped using several indices and linkage methods based on dendrograms. Th e relationships between diversity metrics and major environmental predictors, including zooplankton density, were assessed in 29 phytoplankton communities of fl oodplain lakes distributed along the Middle Araguaia River in central Brazil. Th e dendrogram-based functional diversity indices were Functional Group Richness, Functional Diversity, Mean Pairwise Distance and Mean Nearest Taxon Distance, whereas seven diff erent hierarchical agglomerative linkage methods we used. Th e performance of indices were compared using ANOVA and their spatial variation in response to major environmental predictors evaluated. Th e results indicate that variation in functional diversity values is primarily a product of the type of index chosen. Th is variation was statistically signifi cant in 90 % of the fl oodplain lakes studied; however, a spatial pattern of variation in index values along the river was not detected. Furthermore, environmental constraints, including zooplankton density, were weak predictors of functional diversity indices. Th erefore, the mathematical characteristics of indices are of primary importance in explaining variation among functional diversity values.

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The influence of fire on phylogenetic and functional structure of woody savannas: Moving from species to individuals

Cited by 71 publications

References 72 publications

Contrasted taxonomic, phylogenetic and functional diversity patterns in semi-natural permanent grasslands along an altitudinal gradient

Contrasted taxonomic, phylogenetic and functional diversity patterns in semi-natural permanent grasslands along an altitudinal gradient

Environmental severity promotes phylogenetic clustering in campo rupestre vegetation

Assessing the spatial variation of functional diversity estimates based on dendrograms in phytoplankton communities

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