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

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          South America harbors the most diverse freshwater fish fauna worldwide; however, scientists have few clear answers about the origins of this megadiversity. Here, we used the most complete datasets of geographic distributions and evolutionary relationships of South American fishes to date, to track the influence of the geological history on the origins, extinctions, and interchanges of these fishes over the past 100 My. We found that abrupt increases of species origination coincided in time and place with major mountain uplift and river re-arrangement events. Species in Western Amazonia originated faster and persisted longer than those in other regions. Thus, this region acted as a source of dispersal to other regions, enhancing the exceptional diversity of fishes across the entire continent.

          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

                Contributors
                Journal
                Proc Natl Acad Sci U S A
                Proc Natl Acad Sci U S A
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                3 January 2023
                10 January 2023
                3 January 2023
                : 120
                : 2
                : e2211974120
                Affiliations
                [1] aDepartment of Ecology, Graduate Program in Ecology and Evolution, Federal University of Goiás , Goiânia 74690-900, Brazil
                [2] bDepartment of Biology, University of Louisiana at Lafayette , Lafayette, LA 70503
                [3] cDepartment of Biological and Environmental Sciences, Gothenburg Global Biodiversity Centre, University of Gothenburg , Gothenburg, Sweden, SE 405 30
                [4] dRoyal Botanic Gardens , Kew, Richmond, UK TW9 3AE
                [5] eDepartment of Plant Sciences, University of Oxford , Oxford, UK OX1 3RB
                [6] fSwiss Federal Institute for Forest, Snow and Landscape Research WSL , Birmensdorf CH-8903, Switzerland
                [7] gFederal University of Santa Maria, Rio Grande do Sul , Porto Alegre 97105-900, Brazil
                [8] hPontifical Catholic University of Rio Grande do Sul , Porto Alegre, Santa Maria 90619-900, Brazil
                [9] iIllinois Natural History Survey, University of Illinois at Urbana-Champaign , IL 61820
                [10] jFederal University of Uberlândia, Minas Gerais , Uberlândia 38400-902, Brazil
                [11] kCentre 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] lState University of Mato Grosso do Sul , Mundo Novo 79804-970, Brazil
                [13] mDepartment of Computer Science, Technological University of Paraná , Campo Mourão 87302-060, Brazil
                [14] nDepartment of Systematic and Ecology, Federal University of Paraíba , João Pessoa 58051-900, Brazil
                [15] oDepartment of Ecology, University of Brasília , Brasilia 70910-900, Brazil
                [16] pDepartment of Ecology and Evolution, University of Connecticut , Storrs, CT 06269
                [17] qUniversity of Colorado Museum of Natural History , Boulder, CO 80309
                Author notes
                1To whom correspondence may be addressed. Email: fernandacassemiro@ 123456gmail.com .

                Edited by Andrea Rinaldo, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland; received July 12, 2022; accepted December 1, 2022

                Author information
                https://orcid.org/0000-0003-3015-5524
                https://orcid.org/0000-0003-1842-9297
                https://orcid.org/0000-0002-8510-687X
                https://orcid.org/0000-0001-6047-1945
                https://orcid.org/0000-0002-7831-3053
                https://orcid.org/0000-0003-3746-6894
                https://orcid.org/0000-0002-9803-0827
                https://orcid.org/0000-0003-1493-9409
                http://orcid.org/0000-0002-6954-9902
                https://orcid.org/0000-0002-0532-4640
                https://orcid.org/0000-0002-8925-5629
                https://orcid.org/0000-0001-6452-3466
                https://orcid.org/0000-0002-7213-5284
                Article
                202211974
                10.1073/pnas.2211974120
                9926176
                36595684
                712a0f9f-477c-4dff-b670-36a201608e70
                Copyright © 2023 the Author(s). Published by PNAS.

                This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY).

                History
                : 12 July 2022
                : 1 December 2022
                Page count
                Pages: 10, Words: 6623
                Funding
                Funded by: NSF | BIO | Division of Environmental Biology (DEB), FundRef 100000155;
                Award ID: 0614334
                Award Recipient : James S. Albert
                Funded by: CNPq | Instituto Nacional de Ciência e Tecnologia da Criosfera (INCT da Criosfera), FundRef 501100010688;
                Award ID: 306455/2014-5
                Award Recipient : Roberto E. Reis Award Recipient : Augusto Frota Award Recipient : Weferson Da Graça
                Funded by: EC | ERC | HORIZON EUROPE European Research Council (ERC), FundRef 100019180;
                Award ID: 787638
                Award Recipient : Rafael O Wüest Award Recipient : Catherine H Graham
                Funded by: EC | ERC | HORIZON EUROPE European Research Council (ERC), FundRef 100019180;
                Award ID: 787638
                Award Recipient : Rafael O Wüest Award Recipient : Catherine H Graham
                Funded by: Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (SNF), FundRef 501100001711;
                Award ID: 197753
                Award Recipient : Marco Tulio P Coelho
                Funded by: CNPq | Instituto Nacional de Ciência e Tecnologia da Criosfera (INCT da Criosfera), FundRef 501100010688;
                Award ID: 141242/2018-3
                Award Recipient : Roberto E. Reis Award Recipient : Augusto Frota Award Recipient : Weferson Da Graça
                Funded by: CNPq | Instituto Nacional de Ciência e Tecnologia da Criosfera (INCT da Criosfera), FundRef 501100010688;
                Award ID: 305200/2018-6
                Award Recipient : Roberto E. Reis Award Recipient : Augusto Frota Award Recipient : Weferson Da Graça
                Funded by: Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), FundRef 501100003593;
                Award ID: 465610/2014‐5
                Award Recipient : Fernanda A. S. Cassemiro
                Funded by: Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG), FundRef 501100004901;
                Award ID: BPD-00201-22
                Award Recipient : Victor Tagliacollo
                Categories
                research-article, Research Article
                eco, Ecology
                414
                Biological Sciences
                Ecology

                biogeography,lineage diversification,phylogenetic,geological history,tropical biodiversity

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