Literature DB >> 33776580

Dispersal syndromes drive the formation of biogeographical regions, illustrated by the case of Wallace's Line.

Alexander E White1,2,3, Kushal K Dey4,5, Matthew Stephens5, Trevor D Price3.   

Abstract

AIM: Biogeographical regions (realms) reflect patterns of co-distributed species (biotas) across space. Their boundaries are set by dispersal barriers and difficulties of establishment in new locations. We extend new methods to assess these two contributions by quantifying the degree to which realms intergrade across geographical space and the contributions of individual species to the delineation of those realms. As our example, we focus on Wallace's Line, the most enigmatic partitioning of the world's faunas, where climate is thought to have little effect and the majority of dispersal barriers are short water gaps. LOCATION: Indo-Pacific. TIME PERIOD: Present day. MAJOR TAXA STUDIED: Birds and mammals.
METHODS: Terrestrial bird and mammal assemblages were established in 1-degree map cells using range maps. Assemblage structure was modelled using latent Dirichlet allocation, a continuous clustering method that simultaneously establishes the likely partitioning of species into biotas and the contribution of biotas to each map cell. Phylogenetic trees were used to assess the contribution of deep historical processes. Spatial segregation between biotas was evaluated across time and space in comparison with numerous hard realm boundaries drawn by various workers.
RESULTS: We demonstrate that the strong turnover between biotas coincides with the north-western extent of the region not connected to the mainland during the Pleistocene, although the Philippines contains mixed contributions. At deeper taxonomic levels, Sulawesi and the Philippines shift to primarily Asian affinities, resulting from transgressions of a few Asian-derived lineages across the line. The partitioning of biotas sometimes produces fragmented regions that reflect habitat. Differences in partitions between birds and mammals reflect differences in dispersal ability. MAIN
CONCLUSIONS: Permanent water barriers have selected for a dispersive archipelago fauna, excluded by an incumbent continental fauna on the Sunda shelf. Deep history, such as plate movements, is relatively unimportant in setting boundaries. The analysis implies a temporally dynamic interaction between a species' intrinsic dispersal ability, physiographic barriers, and recent climate change in the genesis of Earth's biotas.
© 2021 The Authors. Global Ecology and Biogeography published by John Wiley & Sons Ltd.

Entities:  

Keywords:  Indo‐Pacific; Sulawesi; Wallace’s Line; biogeographical regionalization; biotas; birds; dispersal; grade of membership model; mammals; species assemblages

Year:  2021        PMID: 33776580      PMCID: PMC7986858          DOI: 10.1111/geb.13250

Source DB:  PubMed          Journal:  Glob Ecol Biogeogr        ISSN: 1466-822X            Impact factor:   7.144


  27 in total

1.  Competitive exclusion: phylogeography's 'elephant in the room'?

Authors:  Jonathan M Waters
Journal:  Mol Ecol       Date:  2011-09-27       Impact factor: 6.185

2.  The biogeography of Sulawesi revisited: is there evidence for a vicariant origin of taxa on Wallace's "anomalous island"?

Authors:  Björn Stelbrink; Christian Albrecht; Robert Hall; Thomas von Rintelen
Journal:  Evolution       Date:  2012-02-21       Impact factor: 3.694

3.  Phylogenetic beta diversity: linking ecological and evolutionary processes across space in time.

Authors:  Catherine H Graham; Paul V A Fine
Journal:  Ecol Lett       Date:  2008-12       Impact factor: 9.492

4.  Does the colonization of new biogeographic regions influence the diversification and accumulation of clade richness among the Corvides (Aves: Passeriformes)?

Authors:  Jonathan D Kennedy; Michael K Borregaard; Knud A Jønsson; Ben Holt; Jon Fjeldså; Carsten Rahbek
Journal:  Evolution       Date:  2016-12-02       Impact factor: 3.694

5.  Biogeography: Drivers of bioregionalization.

Authors:  Alexandre Antonelli
Journal:  Nat Ecol Evol       Date:  2017-03-06       Impact factor: 15.460

6.  Infomap Bioregions: Interactive Mapping of Biogeographical Regions from Species Distributions.

Authors:  Daniel Edler; Thaís Guedes; Alexander Zizka; Martin Rosvall; Alexandre Antonelli
Journal:  Syst Biol       Date:  2017-03-01       Impact factor: 15.683

7.  Decomposing biodiversity data using the Latent Dirichlet Allocation model, a probabilistic multivariate statistical method.

Authors:  Denis Valle; Benjamin Baiser; Christopher W Woodall; Robin Chazdon
Journal:  Ecol Lett       Date:  2014-10-17       Impact factor: 9.492

8.  Regional influences on community structure across the tropical-temperate divide.

Authors:  Alexander E White; Kushal K Dey; Dhananjai Mohan; Matthew Stephens; Trevor D Price
Journal:  Nat Commun       Date:  2019-06-14       Impact factor: 14.919

9.  Extending the Latent Dirichlet Allocation model to presence/absence data: A case study on North American breeding birds and biogeographical shifts expected from climate change.

Authors:  Denis Valle; Pedro Albuquerque; Qing Zhao; Albert Barberan; Robert J Fletcher
Journal:  Glob Chang Biol       Date:  2018-08-26       Impact factor: 10.863

10.  A tutorial on how not to over-interpret STRUCTURE and ADMIXTURE bar plots.

Authors:  Daniel J Lawson; Lucy van Dorp; Daniel Falush
Journal:  Nat Commun       Date:  2018-08-14       Impact factor: 14.919

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.