Faster diversification on land than sea helps explain global biodiversity patterns among habitats and animal phyla

2015 ◽  
Vol 18 (11) ◽  
pp. 1234-1241 ◽  
Author(s):  
John J. Wiens
Author(s):  
Boris Worm ◽  
Derek P. Tittensor

This chapter develops a body of theory to capture and test the key processes governing the global distribution of biodiversity. From this theory, it devises a spatial metacommunity model that enables the reconstruction of documented patterns of species richness from first principles and the prediction of their major features. The chapter starts with a simple, flexible, and tractable framework that can be built on and expanded in order to test competing hypotheses. This modeling approach may be described as an experimental toolbox for global biodiversity patterns. The aim is not necessarily to achieve the highest predictive power, but to explore the possibility space of global biodiversity patterns and their drivers.


Nature ◽  
2004 ◽  
Vol 429 (6994) ◽  
pp. 863-867 ◽  
Author(s):  
Xabier Irigoien ◽  
Jef Huisman ◽  
Roger P. Harris

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Nicholas C. Coops ◽  
Sean P. Kearney ◽  
Douglas K. Bolton ◽  
Volker C. Radeloff

Author(s):  
Boris Worm ◽  
Derek P. Tittensor

This chapter summarizes and synthesizes known biodiversity patterns, and analyzes them for congruency over space and time. The discussion is limited to macroecological patterns at continental to global scales (thousands of km). The chapter also focuses on the simplest measure of biodiversity—namely, species richness. The discussions cover marine coastal biodiversity, marine pelagic biodiversity, deep-sea biodiversity, terrestrial biodiversity, changes in biodiversity patterns through time, and robustness of documented biodiversity patterns. Among the findings is that averaging across all known species groups on land and in the sea, tropical peaks in species richness were as common as subtropical peaks, whereas species groups cresting in temperate or polar latitudes were more exceptional. Thus, the oft-cited unimodal pattern of biodiversity appears frequently, particularly on land, but there is also evidence that supports a newly emerging paradigm of asymmetric unimodal or bimodal peaks often in the subtropics, and particularly in the marine realm.


2021 ◽  
Vol 4 ◽  
Author(s):  
Holly Bik

Microbial metazoans (e.g. nematodes, copepods, tardigrades and other 'minor' animal phyla < 1mm in size) are ubiquitous and abundant across most ecosystems on earth. In marine sediment habitats, microbial metazoa exhibit high biodiversity but suffer from poor taxonomy and an ongoing lack of reference DNA sequences in public databases. Environmental DNA metabarcoding thus represents an increasingly critical tool for rapidly assessing the global biodiversity and phylogeographic patterns of such neglected metazoan groups. However, there are significant bioinformatics hurdles facing the study of microbial eukaryotes. Most software pipelines and databases have been designed and optimized for smaller (e.g. bacteria/archaea) or larger (e.g. vertebrate) taxa, and emphasize "standard" metabarcoding loci such as COI which are not useful for groups such as nematodes which lack universal COI primer binding regions. In addition, the sparsity of public reference barcodes for microbial metazoa often precludes accurate taxonomy assignments for unknown MOTUs in metabarcoding datasets. Here, I will present recent work focused on the refinement of bionformatics workflows for microbial metazoan groups, including efforts to account for intragenomic variation observed in rRNA loci, discrepancies in results across OTU vs. ASV generation pipelines, and biases in sequence-based taxonomhy assignment methods.


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