scholarly journals Rarity facets of biodiversity: Integrating Zeta diversity and Dark diversity to understand the nature of commonness and rarity

2021 ◽  
Author(s):  
Federico Riva ◽  
Stefano Mammola
2000 ◽  
Vol 71 (3) ◽  
pp. 501-512 ◽  
Author(s):  
CHRISTOPHER D. PIRIE ◽  
SUZANNAH WALMSLEY ◽  
ROBERT INGLE ◽  
ALFREDO PÉREZ JIMÉNEZ ◽  
ARTURO SOLIS MAGALLANES ◽  
...  

Ecology ◽  
1980 ◽  
Vol 61 (1) ◽  
pp. 88-97 ◽  
Author(s):  
Frank W. Preston

1993 ◽  
Vol 30 (3) ◽  
pp. 407 ◽  
Author(s):  
John G. Hodgson

2001 ◽  
Vol 4 (6) ◽  
pp. 618-627 ◽  
Author(s):  
Colleen K. Kelly ◽  
Helena Banyard Smith ◽  
Yvonne M. Buckley ◽  
Rebecca Carter ◽  
Miguel Franco ◽  
...  

Author(s):  
Kenneth J Locey ◽  
Jay T Lennon

Scaling laws underpin unifying theories of biodiversity and are among the most predictively powerful relationships in biology. However, scaling laws developed for plants and animals often go untested or fail to hold for microorganisms. As a result, it is unclear whether scaling laws of biodiversity will span evolutionarily distant domains of life that encompass all modes of metabolism and scales of abundance. Using a global-scale compilation of ~35,000 sites and ~5.6·106 species, including the largest ever inventory of high-throughput molecular data and one of the largest compilations of plant and animal community data, we demonstrate similar rates of scaling in commonness and rarity across microorganisms and macroscopic plants and animals. We document a universal dominance scaling law that holds across 30 orders of magnitude, an unprecedented expanse that predicts the abundance of dominant ocean bacteria. In combining this scaling law with the lognormal model of biodiversity, we predict that Earth is home to upwards one trillion (1012) microbial species. Microbial biodiversity seems greater than ever anticipated yet predictable from the smallest to the largest microbiome.


2019 ◽  
Author(s):  
Ryosuke Nakadai ◽  
Yusuke Okazaki ◽  
Shunsuke Matsuoka

AbstractDescribing the variation in commonness and rarity in a community is a fundamental method of evaluating biodiversity. Such patterns have been studied in the context of species abundance distributions (SADs) among macroscopic organisms in numerous communities. Recently, models for analyzing variation in local SAD shapes along environmental gradients have been constructed. The recent development of high-throughput sequencing enables evaluation of commonness and rarity in local communities of microbes using operational taxonomic unit (OTU) read number distributions (ORDs), which are conceptually similar to SADs. However, few studies have explored the variation in local microbial ORD shapes along environmental gradients. Therefore, the similarities and differences between SADs and ORDs are unclear, clouding any universal rules of global biodiversity patterns. We investigated the similarities and differences in ORD shapes vs. SADs, and how well environmental variables explain the variation in ORDs along latitudinal and depth gradients. Herein, we integrate ORDS into recent comparative analysis methods for SAD shape using datasets generated on the Tara Oceans expedition. About 56% of the variance in skewness of ORDs among global oceanic bacterial communities was explained with this method. Moreover, we confirmed that the parameter combination constraints of Weibull distributions were shared by ORDs of bacterial communities and SADs of tree communities, suggesting common long-term limitation processes such as adaptation and community persistence acting on current abundance variation. On the other hand, skewness was significantly greater for bacterial communities than tree communities, and many ecological predictions did not apply to bacterial communities, suggesting differences in the community assembly rules for microbes and macroscopic organisms. Approaches based on ORDs provide opportunities to quantify macroecological patterns of microbes under the same framework as macroscopic organisms.


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