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      Landscape dynamics and diversification of the megadiverse South American freshwater fish fauna

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          Abstract

          Landscape dynamics are widely thought to govern the tempo and mode of continental radiations, yet the effects of river network rearrangements on dispersal and lineage diversification remain poorly understood. We integrated an unprecedented occurrence dataset of 4,967 species with a newly compiled, time-calibrated phylogeny of South American freshwater fishes—the most species-rich continental vertebrate fauna on Earth—to track the evolutionary processes associated with hydrogeographic events over 100 Ma. Net lineage diversification was heterogeneous through time, across space, and among clades. Five abrupt shifts in net diversification rates occurred during the Paleogene and Miocene (between 30 and 7 Ma) in association with major landscape evolution events. Net diversification accelerated from the Miocene to the Recent (c. 20 to 0 Ma), with Western Amazonia having the highest rates of in situ diversification, which led to it being an important source of species dispersing to other regions. All regional biotic interchanges were associated with documented hydrogeographic events and the formation of biogeographic corridors, including the Early Miocene (c. 23 to 16 Ma) uplift of the Serra do Mar and Serra da Mantiqueira and the Late Miocene (c. 10 Ma) uplift of the Northern Andes and associated formation of the modern transcontinental Amazon River. The combination of high diversification rates and extensive biotic interchange associated with Western Amazonia yielded its extraordinary contemporary richness and phylogenetic endemism. Our results support the hypothesis that landscape dynamics, which shaped the history of drainage basin connections, strongly affected the assembly and diversification of basin-wide fish faunas.

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          The global diversity of birds in space and time.

          Current global patterns of biodiversity result from processes that operate over both space and time and thus require an integrated macroecological and macroevolutionary perspective. Molecular time trees have advanced our understanding of the tempo and mode of diversification and have identified remarkable adaptive radiations across the tree of life. However, incomplete joint phylogenetic and geographic sampling has limited broad-scale inference. Thus, the relative prevalence of rapid radiations and the importance of their geographic settings in shaping global biodiversity patterns remain unclear. Here we present, analyse and map the first complete dated phylogeny of all 9,993 extant species of birds, a widely studied group showing many unique adaptations. We find that birds have undergone a strong increase in diversification rate from about 50 million years ago to the near present. This acceleration is due to a number of significant rate increases, both within songbirds and within other young and mostly temperate radiations including the waterfowl, gulls and woodpeckers. Importantly, species characterized with very high past diversification rates are interspersed throughout the avian tree and across geographic space. Geographically, the major differences in diversification rates are hemispheric rather than latitudinal, with bird assemblages in Asia, North America and southern South America containing a disproportionate number of species from recent rapid radiations. The contribution of rapidly radiating lineages to both temporal diversification dynamics and spatial distributions of species diversity illustrates the benefits of an inclusive geographical and taxonomical perspective. Overall, whereas constituent clades may exhibit slowdowns, the adaptive zone into which modern birds have diversified since the Cretaceous may still offer opportunities for diversification.
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            Model selection in historical biogeography reveals that founder-event speciation is a crucial process in Island Clades.

            Founder-event speciation, where a rare jump dispersal event founds a new genetically isolated lineage, has long been considered crucial by many historical biogeographers, but its importance is disputed within the vicariance school. Probabilistic modeling of geographic range evolution creates the potential to test different biogeographical models against data using standard statistical model choice procedures, as long as multiple models are available. I re-implement the Dispersal-Extinction-Cladogenesis (DEC) model of LAGRANGE in the R package BioGeoBEARS, and modify it to create a new model, DEC + J, which adds founder-event speciation, the importance of which is governed by a new free parameter, [Formula: see text]. The identifiability of DEC and DEC + J is tested on data sets simulated under a wide range of macroevolutionary models where geography evolves jointly with lineage birth/death events. The results confirm that DEC and DEC + J are identifiable even though these models ignore the fact that molecular phylogenies are missing many cladogenesis and extinction events. The simulations also indicate that DEC will have substantially increased errors in ancestral range estimation and parameter inference when the true model includes + J. DEC and DEC + J are compared on 13 empirical data sets drawn from studies of island clades. Likelihood-ratio tests indicate that all clades reject DEC, and AICc model weights show large to overwhelming support for DEC + J, for the first time verifying the importance of founder-event speciation in island clades via statistical model choice. Under DEC + J, ancestral nodes are usually estimated to have ranges occupying only one island, rather than the widespread ancestors often favored by DEC. These results indicate that the assumptions of historical biogeography models can have large impacts on inference and require testing and comparison with statistical methods. © The Author(s) 2014. Published by Oxford University Press, on behalf of the Society of Systematic Biologists. All rights reserved. For Permissions, please email: journals.permissions@oup.com.
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              Dispersal-Vicariance Analysis: A New Approach to the Quantification of Historical Biogeography

              F Ronquist (1997)
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                Author and article information

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                Journal
                Proceedings of the National Academy of Sciences
                Proc. Natl. Acad. Sci. U.S.A.
                Proceedings of the National Academy of Sciences
                0027-8424
                1091-6490
                January 10 2023
                January 03 2023
                January 10 2023
                : 120
                : 2
                Affiliations
                [1 ]Department of Ecology, Graduate Program in Ecology and Evolution, Federal University of Goiás, Goiânia 74690-900, Brazil
                [2 ]Department of Biology, University of Louisiana at Lafayette, Lafayette, LA 70503
                [3 ]Department of Biological and Environmental Sciences, Gothenburg Global Biodiversity Centre, University of Gothenburg, Gothenburg, Sweden, SE 405 30
                [4 ]Royal Botanic Gardens, Kew, Richmond, UK TW9 3AE
                [5 ]Department of Plant Sciences, University of Oxford, Oxford, UK OX1 3RB
                [6 ]Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf CH-8903, Switzerland
                [7 ]Federal University of Santa Maria, Rio Grande do Sul, Porto Alegre 97105-900, Brazil
                [8 ]Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Santa Maria 90619-900, Brazil
                [9 ]Illinois Natural History Survey, University of Illinois at Urbana-Champaign, IL 61820
                [10 ]Federal University of Uberlândia, Minas Gerais, Uberlândia 38400-902, Brazil
                [11 ]Centre of Biological Sciences, Department of Biology, Graduate Programme in Ecology of In-land Water Ecosystems, Centre of Research in Limnology, Ichthyology and Aquaculture (Nupélia), State University of Maringá, Maringá 87020-900, Brazil
                [12 ]State University of Mato Grosso do Sul, Mundo Novo 79804-970, Brazil
                [13 ]Department of Computer Science, Technological University of Paraná, Campo Mourão 87302-060, Brazil
                [14 ]Department of Systematic and Ecology, Federal University of Paraíba, João Pessoa 58051-900, Brazil
                [15 ]Department of Ecology, University of Brasília, Brasilia 70910-900, Brazil
                [16 ]Department of Ecology and Evolution, University of Connecticut, Storrs, CT 06269
                [17 ]University of Colorado Museum of Natural History, Boulder, CO 80309
                Article
                10.1073/pnas.2211974120
                712a0f9f-477c-4dff-b670-36a201608e70
                © 2023

                https://creativecommons.org/licenses/by/4.0/

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