Phylogenetic community structure when competition and environmental filtering determine abundances

2015 ◽  
Vol 24 (12) ◽  
pp. 1390-1400 ◽  
Author(s):  
Mara A. Freilich ◽  
Sean R. Connolly
Paleobiology ◽  
2020 ◽  
pp. 1-13
Author(s):  
Lucy M. Chang ◽  
Phillip L. Skipwith

Abstract Understanding the mechanisms that prevent or promote the coexistence of taxa at local scales is critical to understanding how biodiversity is maintained. Competitive exclusion and environmental filtering are two processes thought to limit which taxa become established in a community. However, determining the relative importance of the two processes is a complex task, especially when the critical initial stages of colonization cannot be directly observed. Here, we explore the use of phylogenetic community structure for identifying filtering mechanisms in a fossil community. We integrated a time-calibrated molecular phylogeny of bivalve genera with a spatial dataset of late Cenozoic bivalves from the Pacific coast of North America to characterize how the community that was present in the semirestricted San Joaquin Basin (SJB) embayment of present-day California was phylogenetically structured. We employed phylogenetic distance-based metrics across six time bins spanning 27–2.5 Ma and found no evidence of significant clustering or evenness in the SJB community when compared with communities randomly assembled from the regional source pool. Additionally, we found that new colonizers into the SJB were not significantly more or less closely related to native taxa than expected by chance. These findings suggest that neither competitive exclusion nor environmental filtering were overwhelmingly influential factors shaping the composition of the SJB community over time. We further discuss interpretations of these patterns in light of current understandings in community phylogenetics and reiterate the critical role historical perspectives play in how community assembly rules are assessed.


PLoS ONE ◽  
2017 ◽  
Vol 12 (10) ◽  
pp. e0185861 ◽  
Author(s):  
Jacqueline Heckenhauer ◽  
Kamariah Abu Salim ◽  
Mark W. Chase ◽  
Kyle G. Dexter ◽  
R. Toby Pennington ◽  
...  

2015 ◽  
Author(s):  
Carlo Ricotta ◽  
Eszter EA Ari ◽  
Giuliano Bonanomi ◽  
Francesco Giannino ◽  
Duncan Heathfield ◽  
...  

The increasing availability of phylogenetic information facilitates the use of evolutionary methods in community ecology to reveal the importance of evolution in the species assembly process. However, while several methods have been applied to a wide range of communities across different spatial scales with the purpose of detecting non-random phylogenetic patterns, the spatial aspects of phylogenetic community structure have received far less attention. Accordingly, the question for this study is: can point pattern analysis be used for revealing the phylogenetic structure of multi-species assemblages? We introduce a new individual-centered procedure for analyzing the scale-dependent phylogenetic structure of multi-species point patterns based on digitized field data. The method uses nested circular plots with increasing radii drawn around each individual plant and calculates the mean phylogenetic distance between the focal individual and all individuals located in the circular ring delimited by two successive radii. This scale-dependent value is then averaged over all individuals of the same species and the observed mean is compared to a null expectation with permutation procedures. The method detects particular radius values at which the point pattern of a single species exhibits maximum deviation from the expectation towards either phylogenetic aggregation or segregation. Its performance is illustrated using data from a grassland community in Hungary and simulated point patterns. The proposed method can be extended to virtually any distance function for species pairs, such as functional distances.


2017 ◽  
Vol 106 (3) ◽  
pp. 991-1000 ◽  
Author(s):  
Xian Yang ◽  
Zhongling Yang ◽  
Jiaqi Tan ◽  
Guoyong Li ◽  
Shiqiang Wan ◽  
...  

Oecologia ◽  
2014 ◽  
Vol 175 (3) ◽  
pp. 985-995 ◽  
Author(s):  
Werner Ulrich ◽  
Marcin Piwczyński ◽  
Markus Klemens Zaplata ◽  
Susanne Winter ◽  
Wolfgang Schaaf ◽  
...  

2015 ◽  
Vol 18 (2) ◽  
pp. 153-163 ◽  
Author(s):  
Alex L. Pigot ◽  
Rampal S. Etienne

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