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Enregistrement W2329097666 · doi:10.1093/jpe/rtt077

Phylogenetic community ecology: integrating community ecology and evolutionary biology

2014· article· en· W2329097666 sur OpenAlexaboutno aff
Hong Qian, Lin Jiang

Notice bibliographique

RevueJournal of Plant Ecology · 2014
Typearticle
Langueen
DomaineAgricultural and Biological Sciences
ThématiquePlant and animal studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésEcologyCommunityEvolutionary ecologyEcology and Evolutionary BiologyPhylogenetic treeBiologyApplied ecologyEvolutionary physiologyPlant ecologyEcosystemHost (biology)

Résumé

récupéré en direct d'OpenAlex

The species composition of a biological community results from the interplay between evolutionary and ecological processes (Ricklefs 1987). It depends on the availability of species in the species pool of the region where the community is located, the dispersal ability of species in the regional species pool that allows them to reach the community and the degree to which the species that have reached the community can tolerate abiotic and biotic conditions in the locality (Willis et al. 2010). However, evolutionary and ecological processes assembling species into biological communities have generally been studied in isolation from one another (Johnson and Stinchcombe 2007). In the face of widespread and various anthropogenic threats to biological communities worldwide, it is urgent to understand how evolutionary and ecological processes interplay to generate and maintain biodiversity patterns and species membership in biological communities across the globe. Species diversity and assembly of biological communities are thought to be driven by three groups of processes: niche-based processes (e.g. Chase and Leibold 2003; Diamond 1975; Tilman 1982; Weiher and Keddy 1999), neutrality-based processes (Bell 2001; Hubbell 2001) and history-related processes (Ricklefs 1987; Ricklefs and Schluter 1993). Phylogenies, especially when calibrated with a dimension of time, can illuminate our knowledge of evolutionary histories of biological communities at multiple temporal and spatial scales (Pennington et al. 2006). At a global scale, they permit a re-evaluation of the relative roles of plate tectonics and long-distance dispersal in the assembly of regional and continental biota (Crisp et al. 2004). At a local scale, they permit an examination of phylogenetic relatedness of species and provide insights into the assembly of biological communities (Webb et al. 2002). In particular, as Cavender-Bares et al. (2009) point out, ‘phylogenetics helps to resolve the long-standing controversy about the relative roles of neutral vs. niche-related processes in community assembly and facilitates identification of the kinds of processes that underlie community assembly’. The assembly of local biological communities is thought to be generally driven by two processes: filtering of species that can persist within a community on the basis of their tolerance of the abiotic environment (Weiher and Keddy 1995) and biotic interactions among species that limit their long-term coexistence (Elton 1946; Gause 1934; Leibold 1998). The phylogenetic structure of a community can be assessed by comparing the species composition of the community with that of the regional species pool. Phylogenetic clustering should result when conserved characters determine habitat filtering, because they influence tolerance of abiotic conditions, and phylogenetic overdispersion is expected to occur if there is either filtering on convergent characters or competitive exclusion of species with similarity in conserved characters (Cavender-Bares et al. 2004; Webb et al. 2002), although competitive exclusion may also result in phylogenetic clustering (Mayfield and Levine 2010). If phylogenetic relatedness predicts ecological similarity, phylogenetic diversity should increase ecosystem productivity by maximizing total resource uptake (Pennington et al. 2006). A high degree of phylogenetic signal has been frequently found in plant functional traits (e.g. Donoghue 2008; Moles et al. 2005). Phylogenetic structure within communities can also influence phylogenetic turnover between communities, i.e. phylogenetic beta diversity (Graham and Fine 2008). Since an early attempt to perform a phylogenetic analysis of community structure (Webb 2000), the use of phylogenies to investigate patterns of community structure has blossomed (Fig. 1). results of a search in the ISI Web of Science (accessed on 30 November 2013) using the key words ‘phylogen*’ AND ‘community ecology’. This Special Issue includes a collection of 10 research papers in the field of phylogenetic community ecology. These papers cover a wide range of spatial extents from an experiment in laboratory microcosms (Pu et al. 2014) to the globe (Brunbjerg et al. 2014), covering a wide taxonomic spectrum of organisms including microbial bacterivorous ciliated protists (Pu et al. 2014) and vascular plants (all other papers in this issue). Most of the papers investigated phylogenetic structure within biological assemblages, with five papers (i.e. Brunbjerg et al. 2014; González-Caro et al. 2014; Qian et al. 2014; Yang et al. 2014; Zhang et al. 2014) using net relatedness index (NRI) or nearest taxon index (NTI) as a measure of phylogenetic structure. Three papers (i.e. González-Caro et al. 2014; Qian et al. 2014; Swenson and Umaña 2014) report investigations of phylogenetic beta diversity between biological assemblages. The papers included in this issue also cover other aspects of phylogenetic community ecology such as the relationship between phylogenetic diversity and stability (Pu et al. 2014), the relationship between functional traits with phylogenetic signal and environmental conditions (Mi et al. 2014), the relationship between phylogenetic diversity of native communities and alien species invasion (Whitfeld et al. 2014) and the effect of disturbances on community assembly (Zhang et al. 2014). Brunbjerg et al. (2014) investigated patterns of phylogenetic structure in coastal dune communities using a large number of sample plots (N = 18 463) from across the globe. They found that regional species assemblages were phylogenetically clustered relative to the global species pool, which indicates diversification within regions, and that species in local dune communities were also phylogenetically clustered regardless of whether NRI or NTI is used. In their study, species in dune communities show stronger clustering when NTI is used as a phylogenetic relatedness index, compared with the use of NRI. Because NRI measures deeper divergences in the phylogeny than does NTI, which measures tip-level divergences (Webb et al. 2002), a higher degree of clustering with NTI suggests recent diversifications within regions (Brunbjerg et al. 2014). Brunbjerg et al. (2014) also found that there was significant phylogenetic signal in plant height and seed mass and that these two functional traits were negatively correlated with NRI values, suggesting that phylogenetic niche conservatism and environmental filtering interplay in generating current dune communities. Focusing on woody plants in 650 quadrats of 20×20 m in two large forests in Southwest China (a tropical forest of 20 ha; a subtropical forest of 6 ha), Yang et al. (2014) found that all seven functional traits examined showed significant phylogenetic signal and that functional traits co-varied with environmental conditions. Yang et al. (2014) also analyzed phylogenetic structure of the forest quadrats and found opposing patterns of phylogenetic structure in the two forests: phylogenetic clustering in the subtropical forest and phylogenetic overdispersion in the tropical forest. This result is consistent with those of Kooyman et al. (2011) and Giehl and Jarenkow (2012) who found that woody species in subtropical and warm temperate samples were more phylogenetically clustered than those in tropical samples in Australia and South America. Mi et al. (2014) used four spatial statistical models to investigate the role of different mechanisms in shaping the species, phylogenetic and functional structures of woody plant assemblages in a subtropical forest of 24 ha in East China at various spatial scales, with a focus of assessing the validity of the assumption of spatial independence between species. They found inconsistent results at different spatial scales. Similar to Mi et al. (2014) and Yang et al. (2014) who used large permanent forest plots in China to address questions of phylogenetic community ecology, Oliveira et al. (2014) used a permanent forest plot of ~10 ha with different edaphic conditions in Brazil to assess the role of environmental and evolutionary processes in driving the assembly of tree and shrub species in 256 quadrats of 20×20 m. They report that species in the forest are phylogenetically overdispersed in space and within habitat types. Specifically, closely related species tend to occur in different habitats, and close-by trees tend to be more distantly related species. González-Caro et al. (2014) and Qian et al. (2014) both used plant assemblages distributed along elevational gradients to investigate phylogenetic structure within assemblages and phylogenetic turnover between assemblages and relate measures of phylogenetic structure and phylogenetic turnover to environmental factors. González-Caro et al. (2014) observed phylogenetic overdispersion in tree assemblages with lower temperatures and phylogenetic clustering in tree assemblages with higher temperatures in their dataset of 145 1-ha forest plots distributed from 200 to 3300 m elevation in New World tropical areas (Colombia). Furthermore, phylogenetic structure of the assemblages was related to the degree of seasonal flooding and seasonality in precipitation and phylogenetic beta diversity between assemblages increased with an increasing difference in temperature whereas annual precipitation was not a significant predictor of phylogenetic turnover between assemblages. In contrast to the results of González-Caro et al. (2014) on the relationship between phylogenetic structure and temperature, Qian et al. (2014) observed that angiosperm woody plant assemblages tended to be more phylogenetically clustered in lower temperature and at higher elevations in their dataset with 13 forest plots of 32×32 m distributed from 720 to 1900 m elevation in northeastern China. The phylogenetic niche conservatism hypothesis predicts that evolutionary adaptation to novel temperature environments is rare, and descendent species tend to remain within the environments of their ancestors (Miller et al. 2013). Because angiosperms originated in tropical environments (Takhtajan 1969), one would expect to find increasing phylogenetic clustering in community assemblages along a gradient from ancestral, warm to derived, cold environments (Miller et al. 2013). Thus, the finding of Qian et al. (2014) is consistent with the prediction of the phylogenetic niche conservatism hypothesis on the relationship between phylogenetic relatedness and temperature. Their finding is also consistent with the finding of Li et al. (2014) for alpine plant assemblages along an elevational gradient in the Hengduan Mountains Region, southwestern China, and the finding of Qian et al. (2013) for angiosperm tree assemblages along latitudinal gradients in North America. Interestingly, Culmsee and Leuschner (2013) also observed that angiosperm tree assemblages in Malesia were more phylogenetically overdispersed at higher elevations (with lower temperatures), and Bryant et al. (2008) found that angiosperm assemblages in Colorado Rocky Mountains, USA, tend to be more phylogenetically overdispersed at higher elevations. These findings, together with that of González-Caro et al. (2014), are contrary to the relationship between phylogenetic structure and temperature predicted by the phylogenetic niche conservatism hypothesis. The mechanisms that have resulted in the opposing patterns of phylogenetic structure along elevational gradients in different regions provide an interesting challenge for future investigation. Unlike González-Caro et al. (2014) and Qian et al. (2014) who investigated, among other things, phylogenetic turnover between plant assemblages along elevational gradients, Swenson and Umaña (2014) studied phylogenetic turnover of vascular plants among 18 islands in Central America (the Lesser Antillean). Their results show a major influence of environmental heterogeneity on the assembly of the island floras and that spatial distance is not a significant predictor of compositional dissimilarity of plant species between islands. The relationships of biodiversity with ecosystem stability and productivity have been a focal research subject of ecologists in the past two decades (e.g. Cardinale et al. 2012; Hooper et al. 2012) but few studies on this topic have taken into account species evolutionary history. In the only study of this collection addressing the relationship between phylogenetic diversity and productivity, Pu et al. (2014) used 12 bacterivorous ciliated protist species as a model to investigate whether phylogenetic diversity can affect temporal stability of biomass after controlling for species diversity. Their results show that increasing phylogenetic diversity promotes temporal stability of community biomass, which supports the utility of species phylogenetic knowledge for predicting ecosystem functions and their stability. Ecologists have been increasingly interested in investigating the effect of disturbances, either caused by natural processes or by human activities, on phylogenetic structure of biological communities (e.g. Knapp et al. 2008; Letcher et al. 2012; Santos et al. 2010). Zhang et al. (2014) conducted a review of the literature on this topic and provided a case study using a data set with 301 sites from the boreal forest region of Alberta, Canada. Their literature synthesis suggests that phylogenetic diversity is inconsistently related to disturbance; their case study leads to the same conclusion. Specifically, phylogenetic diversity is not related to disturbance extent in any consistent way, species richness is not correlated with phylogenetic diversity, and patterns of phylogenetic relatedness are inconsistent across plant growth forms and anthropogenic disturbance types. Whitfeld et al. (2014) used 24 oak forests in Minnesota, USA, to assess the effects of resident plant species richness, phylogenetic diversity and abiotic characteristics on the abundance of the introduced species Rhamnus cathartica. Sites with higher plant phylogenetic diversity harbor less R. cathartica, even in the case where species diversity is not significantly related to the abundance of R. cathartica. The 10 research articles of this collection cover various aspects of phylogenetic community ecology. We appreciate Nathan G. Swenson for his leading role in setting the scope of this issue, inviting authors to contribute and getting several manuscripts reviewed. We are grateful to Bernhard Schmid for handling two manuscripts and editing this article and to over 20 reviewers who provided comments that have substantially improved the quality of many papers included in this collection. Last but not least, we thank the authors of the 10 research articles for their contributions to this Special Issue.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,107
Score d'incertitude au seuil0,988

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,044
Tête enseignante GPT0,231
Écart entre enseignants0,186 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations28
Publié2014
Routes d'admission1
Résumé présentoui

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