Species abundance distribution models of Toona ciliata communities in Hubei Province,China

The study of plant species abundance distribution(SAD)in natural communities is of considerable importance to understand the processes and ecological rules of community assembly.With the distribution of tree,shrub and herb layers of eight natural communities of Toona ciliata as research targets,three diff erent ecological niche models were used:broken stick model,overlapping niche model and niche preemption model,as well as three statistical models:log-series distribution model,log-normal distribution model and Weibull distribution model,to fi t SAD of the diff erent vegetation layers based on data collected.Goodness-of-fi t was compared with Chi square test,Kolmogorov–Smirnov(K–S)test and Akaike Information Criterion(AIC).The results show:(1)based on the criteria of the lowest AIC value,Chi square value and K–S value with no signifi cant diff erence(p>0.05)between theoretic and observed SADs.The suitability and goodness-of-fi t of the broken stick model was the best of three ecological niche models.The log-series distribution model did not accept the fi tted results of most vegetation layers and had the lowest goodness-of-fi t.The Weibull distribution model had the best goodness-of-fi t for SADs.Overall,the statistical SADs performed better than the ecological ones.(2)T.ciliata was the dominant species in all the communities;species richness and diversity of herbs were the highest of the vegetation layers,while the diversities of the tree layers were slightly higher than the shrub layers;there were fewer common species and more rare species in the eight communities.The herb layers had the highest community evenness,followed by the shrub and the tree layers.Due to the complexity and habitat diversity of the diff erent T.ciliata communities,comprehensive analyses of a variety of SADs and tests for optimal models together with management,are practical steps to enhance understanding of ecological processes and mechanisms of T.ciliata communities,to detect disturbances,and to facilitate biodiversity and species conservation.

Species Abundance in a Forest Community in South China：A Case of Poisson Lognormal Distribution

Case studies on Poisson lognormal distribution of species abundance have been rare, especially in forest communities. We propose a numerical method to fit the Poisson lognormal to the species abundance data at an evergreen mixed forest in the Dinghushan Biosphere Reserve, South China. Plants in the tree, shrub and herb layers in 25 quadrats of 20 m× 20 m, 5 m× 5 m, and 1 m× 1 m were surveyed. Results indicated that: (i) for each layer, the observed species abundance with a similarly small median, mode, and a variance larger than the mean was reverse J-shaped and followed well the zero-truncated Poisson lognormal; (ii) the coefficient of variation, skewness and kurtosis of abundance, and two Poisson lognormal parameters (& and μ) for shrub layer were closer to those for the herb layer than those for the tree layer; and (iii) from the tree to the shrub to the herb layer, the α and the coefficient of variation decreased, whereas diversity increased. We suggest that: (i) the species abundance distributions in the three layers reflects the overall community characteristics; (ii) the Poisson lognormal can describe the species abundance distribution in diverse communities with a few abundant species but many rare species; and (iii) 1/α should be an alternative measure of diversity.

High-throughput metabarcoding of SAR11 assemblages from the southwest Atlantic shelf and arid Patagonia:richness and associated rank abundance distributions

Background:Massively parallel sequencing of environmental DNA allows microbiological studies to be performed in greater detail than was possible with first-generation sequencing.For example,it facilitates the use of approaches hitherto largely applied to flora and fauna,such as rank abundance distribution(RAD)analyses.Methods:Here,we set out to advance the knowledge on Ca.Pelagibacterales(SAR11)communities from southern South America using environmental sequences from the open ocean in the Argentine sea,the uncharted Engaño Bay,as well as a river and an oligohaline shallow lake from the Patagonian Steppe ecoregion.The structures of the SAR11 assemblages present in these ecosystems were dissected by direct and rarefaction-based estimates of species richness,and evaluations of the corresponding abundance distributions(ADs),which was addressed by RAD analyses.Results:Microbial community composition analyses revealed that the studied SAR11 assemblages coexist with 27 bacterial phyla.SAR11 richness was in general very high,but ADs turned out to be highly uneven.The results were compatible with prior knowledge,and similar to that derived from point estimates of diversity.However,our comprehensive dissection allowed for more detailed quantitative comparisons to be made between the environments surveyed,and revealed differences regarding both richness and the underlying ADs.Conclusions:Despite SAR11 assemblages being extremely rich,their ADs are very uneven.Richness and ADs can vary,not only between fresh and salt water,but also between oceanic and coastal marine environments.The obtained results provide insights on general topics such as adaptation and the contrast between marine and freshwater radiations.