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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Mamm. Sci.</journal-id>
<journal-title>Frontiers in Mammal Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Mamm. Sci.</abbrev-journal-title>
<issn pub-type="epub">2813-4699</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fmamm.2024.1518039</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Mammal Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Spatiotemporal variability in the South American mammalian fossil record and its impact on macroevolutionary inference</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Ugarte</surname>
<given-names>Pedro D. de S.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2766988"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Nascimento</surname>
<given-names>Jo&#xe3;o C. S.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Pires</surname>
<given-names>Mathias M.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
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<aff id="aff1">
<sup>1</sup>
<institution>Programa de P&#xf3;s-Gradua&#xe7;&#xe3;o em Ecologia, Instituto de Biologia, Universidade Estadual de Campinas</institution>, <addr-line>Campinas, S&#xe3;o Paulo</addr-line>, <country>Brazil</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Departamento de Biologia Animal, Instituto de Biologia, Universidade Estadual de Campinas</institution>, <addr-line>Campinas, S&#xe3;o Paulo</addr-line>, <country>Brazil</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: S. Ivan Perez, National Scientific and Technical Research Council (CONICET), Argentina</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Leandro Aristide, National Scientific and Technical Research Council (CONICET), Argentina</p>
<p>Jose Alexandre Felizola Diniz-Filho, UFG, Brazil</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Mathias M. Pires, <email xlink:href="mailto:piresmm@unicamp.br">piresmm@unicamp.br</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>07</day>
<month>01</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>3</volume>
<elocation-id>1518039</elocation-id>
<history>
<date date-type="received">
<day>27</day>
<month>10</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>10</day>
<month>12</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Ugarte, Nascimento and Pires</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Ugarte, Nascimento and Pires</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Macroevolutionary studies using the fossil record have provided valuable information about the evolutionary history of mammals, helping us to understand some of the processes underlying shifts in diversification dynamics. Yet, most studies on mammal diversification have focused on the Northern Hemisphere. The general view that the quality of the fossil record of South American clades is too limited has precluded continental-level macroevolutionary studies in the continent. However, to adequately evaluate how much we can learn from the South American fossil record, we need to understand how the limitations of the fossil record affect the uncertainty of macroevolutionary estimates. Here, we investigated the spatiotemporal distribution of fossil occurrences from eleven South American mammalian clades and used a Bayesian approach that accounts for the incompleteness of the fossil record to analyze how estimates of times of origination and extinction, and origination and extinction rates are affected by the quality of the fossil record. We show that the main shortcoming of the South American mammalian fossil record is not its overall quality but its spatiotemporal unevenness. Most early South American and early immigrant clades have lower preservation rates than late immigrant clades. Accordingly, uncertainty in root age and estimates of times of origination and extinction is larger for earlier South American clades. Despite the limitations of the fossil record, we were still able to identify significant rate shifts throughout the diversification of most South American clades that may be explained by environmental changes. Yet, we also find discrepancies with macroevolutionary patterns inferred from phylogenies, which suggest that some of the patterns we detect with fossils might reflect regional macroevolutionary trends or be driven by lineages with higher preservation. Contrasting the results obtained using different approaches, such as rate estimates from fossils and molecular data, to find where they converge and diverge, may help to delineate the spatial scale and phylogenetic scope of observed macroevolutionary patterns. Our work contributes to a better understanding of the limitations and opportunities in the research about the evolution of South American mammals</p>
</abstract>
<kwd-group>
<kwd>diversification</kwd>
<kwd>macroevolution</kwd>
<kwd>mammalia</kwd>
<kwd>fossil record bias</kwd>
<kwd>speciation</kwd>
<kwd>extinction</kwd>
</kwd-group>
<contract-num rid="cn001">2023/15709-7, 2021/04220-1, 2023/03965-9</contract-num>
<contract-num rid="cn002">313059/2022-5</contract-num>
<contract-sponsor id="cn001">Funda&#xe7;&#xe3;o de Amparo &#xe0; Pesquisa do Estado de S&#xe3;o Paulo<named-content content-type="fundref-id">10.13039/501100001807</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">Conselho Nacional de Desenvolvimento Cient&#xed;fico e Tecnol&#xf3;gico<named-content content-type="fundref-id">10.13039/501100003593</named-content>
</contract-sponsor>
<counts>
<fig-count count="5"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="104"/>
<page-count count="14"/>
<word-count count="5927"/>
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<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Evolution, Anatomy and the Paleosciences</meta-value>
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</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>The fossil record is the only direct evidence of the past biota and is essential in studies aiming to uncover long-term variations in biodiversity or to reconstruct the diversification dynamics of specific clades (<xref ref-type="bibr" rid="B1">Alroy, 1996</xref>; <xref ref-type="bibr" rid="B31">Foote, 2001</xref>; <xref ref-type="bibr" rid="B67">Quental and Marshall, 2010</xref>; <xref ref-type="bibr" rid="B49">Marshall, 2017</xref>). Yet, fossils offer a fragmentary view of the past (<xref ref-type="bibr" rid="B71">Raup, 1972</xref>; <xref ref-type="bibr" rid="B46">Kidwell and Holland, 2002</xref>; <xref ref-type="bibr" rid="B90">Vilhena and Smith, 2013</xref>), as not all traces of changes in biodiversity through time are preserved as fossils (<xref ref-type="bibr" rid="B33">Foote and Raup, 1996</xref>; <xref ref-type="bibr" rid="B30">Foote, 2000</xref>; <xref ref-type="bibr" rid="B39">Hagen et&#xa0;al., 2018</xref>). The fossil record is subject to different types of biases, such as variation in preservation potential, differential sampling across environments and geographical regions, and uneven representativeness of time periods in the geological record (<xref ref-type="bibr" rid="B46">Kidwell and Holland, 2002</xref>; <xref ref-type="bibr" rid="B90">Vilhena and Smith, 2013</xref>; <xref ref-type="bibr" rid="B42">Holland, 2016</xref>; <xref ref-type="bibr" rid="B12">Benson et&#xa0;al., 2021</xref>). All of those sources of biases affect the completeness of the fossil record, and influence our ability to understand macroevolutionary patterns and the processes underlying those patterns.</p>
<p>Origination and extinction rates can be estimated from dated fossil occurrences to assess diversification dynamics (<xref ref-type="bibr" rid="B30">Foote, 2000</xref>). Yet, because the first and last appearances of a taxon in the fossil record are very unlikely to accurately represent its origination and extinction (Signor-lipps effect; <xref ref-type="bibr" rid="B76">Signor and Lipps, 1982</xref>; <xref ref-type="bibr" rid="B32">Foote and Miller, 2006</xref>), statistical approaches that correct estimates of origination and extinction times according to fossil recovery rate, the rate at which fossils representing a taxon are sampled between the first and last appearance, need to be used to account for uncertainty (e.g., <xref ref-type="bibr" rid="B4">Alroy, 2000</xref>; <xref ref-type="bibr" rid="B79">Silvestro et&#xa0;al., 2014a</xref>, <xref ref-type="bibr" rid="B80">b</xref>; <xref ref-type="bibr" rid="B53">Mitchell and Rabosky, 2017</xref>; <xref ref-type="bibr" rid="B78">Silvestro et&#xa0;al., 2019a</xref>). Fossil recovery rate depends on the abundance of that taxon throughout its lifetime, preservation potential, which depends on traits such as body size, and the presence of hard parts, and sampling (<xref ref-type="bibr" rid="B74">Schopf, 1975</xref>). The higher the recovery rate, the smaller the uncertainty associated with origination and extinction times, but even groups with high quality fossil records are subject to some degree of uncertainty in origination and extinction estimates.</p>
<p>When compared to other groups, mammals have an excellent fossil record (<xref ref-type="bibr" rid="B68">Quental and Marshall, 2013</xref>), and macroevolutionary studies were able to reveal long-term patterns in mammalian diversification, such as trends in body size evolution (<xref ref-type="bibr" rid="B2">Alroy, 1998</xref>, <xref ref-type="bibr" rid="B3">1999</xref>; <xref ref-type="bibr" rid="B73">Sanisidro et&#xa0;al., 2023</xref>), and the role of climate (<xref ref-type="bibr" rid="B93">Vrba, 1992</xref>; <xref ref-type="bibr" rid="B44">Janis, 2003</xref>; <xref ref-type="bibr" rid="B8">Barnosky et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B16">Cantalapiedra et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B63">Porto et&#xa0;al., 2023</xref>) and biotic interactions (<xref ref-type="bibr" rid="B77">Silvestro et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B15">Cantalapiedra et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B62">Pires et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B54">Nascimento et&#xa0;al., 2024</xref>) in shaping the evolutionary history of different mammalian clades. However, most macroevolutionary studies of mammal clades are focused on organisms from the Northern Hemisphere due to the incompleteness of the fossil record in some areas of the planet (<xref ref-type="bibr" rid="B104">&#x17d;liobait&#x117; and Fortelius, 2022</xref>) and to historical differences in sampling effort across continents (<xref ref-type="bibr" rid="B69">Raja et&#xa0;al., 2022</xref>). This is particularly true for South American mammals (<xref ref-type="bibr" rid="B47">Kohn et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B38">Gomes Rodrigues et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B83">Sol&#xf3;rzano and N&#xfa;&#xf1;ez-Flores, 2021</xref>). There is a general understanding that the quality of the fossil record of South American clades is too limited, either in terms of spatial and temporal coverage, or the accuracy of fossil dating, to allow macroevolutionary inferences (<xref ref-type="bibr" rid="B57">Patterson and Pascual, 1968</xref>; <xref ref-type="bibr" rid="B65">Prevosti et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B11">Bennett et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B17">Carrillo et&#xa0;al., 2020</xref>). Despite those limitations, the South American fossil record of mammals has allowed paleontologists and geologists to reconstruct large scale phenomena that shaped the South American mammal fauna.</p>
<p>Throughout the Cenozoic, South America was relatively isolated from other continents [<xref ref-type="bibr" rid="B82">Simpson (1980)</xref>, but see <xref ref-type="bibr" rid="B56">Pascual (2006)</xref>]. During this period of isolation, endemic mammalian groups diversified, such as the ungulates Notoungulata and Litopterna, which have no surviving members, the elusive Xenarthra, whose largest taxa like ground sloths and glyptodons did not survive the Pleistocene megafaunal extinction, and a unique and diverse fauna of metatherians that included the extinct carnivores within Sparassodonta and the Didelphimorphia, which still bears high diversity of extant taxa (<xref ref-type="bibr" rid="B57">Patterson and Pascual, 1968</xref>; <xref ref-type="bibr" rid="B82">Simpson, 1980</xref>; <xref ref-type="bibr" rid="B94">Webb, 1985</xref>; <xref ref-type="bibr" rid="B56">Pascual, 2006</xref>). Sporadic dispersal events introduced the ancestors of early immigrant clades into South America, such as the Caviomorph rodents and New World monkeys (Platyrrhini) (<xref ref-type="bibr" rid="B56">Pascual, 2006</xref>; <xref ref-type="bibr" rid="B55">Oliveira et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B5">Antoine et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B24">Croft, 2012</xref>; <xref ref-type="bibr" rid="B37">Goin et&#xa0;al., 2012</xref>). The relative isolation of South America eventually ended with the Great American Biotic Interchange (GABI) as the gradual closing of the Panama Isthmus consolidated the land bridge that allowed several waves of migration between South and North American faunas (<xref ref-type="bibr" rid="B82">Simpson, 1980</xref>; <xref ref-type="bibr" rid="B50">Marshall et&#xa0;al., 1982</xref>; <xref ref-type="bibr" rid="B85">Stehli and Webb, 1985</xref>; <xref ref-type="bibr" rid="B101">Woodburne et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B100">Woodburne, 2010</xref>). Among the new migrants from the North were several orders of placental mammals, such as Carnivora, Artiodactyla, and Perissodactyla, which established themselves alongside the native fauna (<xref ref-type="bibr" rid="B50">Marshall et&#xa0;al., 1982</xref>; <xref ref-type="bibr" rid="B95">Webb, 1991</xref>). After the GABI, there appears to be a significant increase in the diversification of mammalian lineages of North American origin in South America (<xref ref-type="bibr" rid="B97">Webb and Marshall, 1982</xref>; <xref ref-type="bibr" rid="B96">Webb, 2006</xref>; <xref ref-type="bibr" rid="B17">Carrillo et&#xa0;al., 2020</xref>). This led to a higher richness of species with North American origin relative to that of mammals originating in South America in the recent fauna. Even though such evolutionary and ecological dynamics were inferred based on the mammalian South American fossil record, several uncertainties about the diversification of those groups persist.</p>
<p>While the mammalian South American fossil record is the most abundant among the continents in the southern hemisphere (<xref ref-type="bibr" rid="B37">Goin et&#xa0;al., 2012</xref>), it has been sampled unevenly in space and time (<xref ref-type="bibr" rid="B24">Croft, 2012</xref>; <xref ref-type="bibr" rid="B18">Carrillo et&#xa0;al., 2015</xref>, <xref ref-type="bibr" rid="B17">2020</xref>). The tropics are especially underrepresented in the fossil record, with an overrepresentation of high latitude sites (<xref ref-type="bibr" rid="B57">Patterson and Pascual, 1968</xref>; <xref ref-type="bibr" rid="B24">Croft, 2012</xref>; <xref ref-type="bibr" rid="B37">Goin et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B18">Carrillo et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B7">Bacon et&#xa0;al., 2015</xref>). Since the fossil record comes primarily from lowland sedimentary areas (<xref ref-type="bibr" rid="B42">Holland, 2016</xref>; <xref ref-type="bibr" rid="B43">Holland et&#xa0;al., 2022</xref>), changes in geomorphology may have also altered the preservation potential of fossils over time, aggravating biases in the fossil record. The Andes started rising around 40 million years ago, with rapid changes later on (1 to 4 million years ago) (<xref ref-type="bibr" rid="B36">Garzione et&#xa0;al., 2008</xref>), which would have contributed to fluctuations in the chances of accommodation of sediment and consequently, of fossil preservation (<xref ref-type="bibr" rid="B24">Croft, 2012</xref>). The rise of the Andes, alongside the establishment of the Circumpolar and Humboldt oceanic currents, also increased temperate and arid conditions by the Pliocene-Pleistocene transition (<xref ref-type="bibr" rid="B57">Patterson and Pascual, 1968</xref>; <xref ref-type="bibr" rid="B41">Hinojosa, 2005</xref>; <xref ref-type="bibr" rid="B37">Goin et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B89">Toledo et&#xa0;al., 2015</xref>), further altering climatic conditions and impacting fossil preservation potential.</p>
<p>To comprehend how the variation in the completeness of the fossil record affects our knowledge about the evolution of mammals in South America, we need to quantify the impact of those biases in macroevolutionary inferences about South American mammalian clades. In the present study, we first examine the spatiotemporal distribution of fossil occurrences from eleven mammalian clades (Artiodactyla, Carnivora, Caviomorpha, Cingulata, Didelphimorphia, Folivora, Litopterna, Notoungulata, Perissodactyla, Primates, and, Sparassodonta) present in South America from the early Cenozoic to late Quaternary. Next, we analyzed how the quality of the fossil record of each clade affected estimates of origination and extinction times and origination and extinction rates using a Bayesian framework that accounts for time variation in fossil recovery rates (<xref ref-type="bibr" rid="B79">Silvestro et&#xa0;al., 2014a</xref>, <xref ref-type="bibr" rid="B80">b</xref>; <xref ref-type="bibr" rid="B78">Silvestro et&#xa0;al., 2019a</xref>). Our work contributes to understanding how much we can learn about the evolutionary dynamics of South American mammals despite the various limitations of the fossil record.</p>
</sec>
<sec id="s2">
<title>Methods</title>
<sec id="s2_1">
<title>Data acquisition and curation</title>
<p>We obtained fossil occurrence data for eleven mammalian clades from South America (Artiodactyla, Carnivora, Caviomorpha, Cingulata, Didelphimorphia, Folivora, Litopterna, Notoungulata, Perissodactyla, Primates, and Sparassodonta) from the Paleobiology Database (PBDB, <ext-link ext-link-type="uri" xlink:href="https://paleobiodb.org/">https://paleobiodb.org/</ext-link>). We included only occurrences identified at the species level. This criterion was adopted due to the excellent preservation of cenozoic mammals in comparison to other groups (<xref ref-type="bibr" rid="B68">Quental and Marshall, 2013</xref>) and because our focus was to evaluate how much we can infer about the evolution of South American mammalian clades utilizing fossil occurrences that would allow for a higher taxonomic resolution. We further excluded occurrences in which taxonomy presented uncertainty, i.e., where species or genera were marked with qualifiers such as sp., cf., aff., and &#x2018;?&#x2019;. The database was curated to verify the validity of the species included and correct synonyms or, in any other way, invalid specific names based on an extensive literature review.</p>
</sec>
<sec id="s2_2">
<title>Diversification analysis</title>
<p>We analyzed the macroevolutionary dynamics of the clades using the Bayesian approach implemented in PyRate (<xref ref-type="bibr" rid="B79">Silvestro et&#xa0;al., 2014a</xref>, <xref ref-type="bibr" rid="B80">b</xref>; <xref ref-type="bibr" rid="B78">Silvestro et&#xa0;al., 2019a</xref>). PyRate estimates the times of speciation and extinction for each species, while accounting for uncertainties related to sampling and preservation. PyRate includes three models of preservation: the Homogeneous Poisson process (HPP), Nonhomogeneous Poisson process (NHPP) and Time-variable Poisson process (TPP). For each analyzed clade, we selected the best model of preservation using a Maximum-Likelihood Test (<xref ref-type="bibr" rid="B78">Silvestro et&#xa0;al., 2019a</xref>). We combined the selected model with a Gamma model to account for rate heterogeneity across lineages.</p>
<p>In its current implementation, PyRate uses a reversible-jump Monte Carlo Markov Chain (RJMCM) to jointly estimate the times of origination and extinction for each species, from which it estimates the speciation and extinction rates, as well as the preservation rates for the clade (<xref ref-type="bibr" rid="B78">Silvestro et&#xa0;al., 2019a</xref>). We ran the RJMCM for 10.000.000 generations or until convergence was achieved. We used Tracer v1.7 (<xref ref-type="bibr" rid="B70">Rambaut et&#xa0;al., 2018</xref>) to verify convergence and effective sample sizes (ESS) of the RJMCMC runs, considering that ESS &#x2265; 200 were indicative of convergence. To account for the dating uncertainties associated with each occurrence, we ran 30 replicates, randomly sampling the age of each occurrence within its range (<xref ref-type="bibr" rid="B79">Silvestro et&#xa0;al., 2014a</xref>). All replicates were combined to generate the estimated values of each parameter. The estimated ages of speciation and extinction were used to generate Rate Through Time (RTT) plots and Lineage Through Time (LTT) plots indicating the number of lineages existing at each time point.</p>
</sec>
<sec id="s2_3">
<title>Characterizing uncertainty</title>
<p>To measure uncertainty, we calculated the range of the credible interval of the posterior density, using the <italic>ci</italic> function from the <italic>bayestestR</italic> v0.14.0 package (<xref ref-type="bibr" rid="B48">Makowski et&#xa0;al., 2019</xref>). We measured uncertainty for estimates of root age, times of extinction and speciation, and the net diversification rate of all clades (<xref ref-type="bibr" rid="B103">Zenil-Ferguson and Liow, 2024</xref>). By doing this, we are not trying to quantify biases of the fossil record, but to evaluate how the variation in the occurrence of fossils across South America over time impacts macroevolutionary inference.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>South American mammalian fossil record</title>
<p>We analyzed a dataset of 5239 fossil occurrences from 1407 species across South America (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). Caviomorpha (1354 occurrences and 375 species), Notoungulata (1168 occurrences and 306 species), and Cingulata (784 occurrences and 175 species) comprised most of the occurrences and species from the dataset. Perissodactyla had the fewest records (106) and lowest species richness (19) out of all clades. Even though those clades comprise the majority of the occurrences, individual taxa within those and other Early South American clades (Litopterna, Notoungulata, Cingulata, Folivora, and Sparassadonta), and early immigrant clades (Primates and Caviomorpha), are not well represented in the fossil record with the lowest number of records per species (mean of 3.6). Late immigrant clades (Artiodacyla, Carnivora, and Perissodactyla) had the highest number of records per species (mean of 4.7).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Distribution of fossil occurrences of each South American clade analyzed: <bold>(A)</bold> Artiodactyla, <bold>(B)</bold> Carnivora, <bold>(C)</bold> Caviomorpha, <bold>(D)</bold> Cingulata, <bold>(E)</bold> Didelphimorphia, <bold>(F)</bold> Folivora, <bold>(G)</bold> Litopterna, <bold>(H)</bold> Notoungulata, <bold>(I)</bold> Perissodactyla, <bold>(J)</bold> Primates, and <bold>(K)</bold> Sparassodonta. Points are colored according to the estimated geological period of each record. The gray palette represents the current elevation. Art by Felipe C. Coelho.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmamm-03-1518039-g001.tif"/>
</fig>
<p>Younger records comprise the majority of fossil records of mammals in South America. Almost 80% of all occurrences are from the Miocene onwards, from 23.03 million years ago (Ma) to the Holocene, with close to 60% of those from the Miocene. The Paleocene is the least represented era, with only 21 records.</p>
<p>The mammalian fossil record of South America is heavily biased toward the southernmost latitudes (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S1</bold>
</xref>), and most of the records are located below 1000m (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S2</bold>
</xref>). All early South American clades, except Folivora, and Caviomorpha have over 70% of records in subtropical or temperate regions (around 20&#xb0;S or below). Among late immigrant clades Artiodactyla (58%) and Perissodactyla (63%) also have more than half of their records below the tropical region. In contrast, Carnivora had the same proportion of records in subtropical and tropical regions (above 20&#xb0;S). Primates were the only clade with the highest proportion of records in tropical areas. Most clades showed a significant negative correlation between the number of records and latitude (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S3</bold>
</xref>), with Folivora (<italic>r</italic> = -0.88, <italic>p</italic> = 0.047) and Cingulata (<italic>r</italic> = -0.83, <italic>p</italic> = 0.004) having the strongest correlation. Only Carnivora showed a significant positive correlation between the number of records and latitude (<italic>r</italic> = 0.31, <italic>p</italic> = 0.002). Most records (72%) are concentrated below 700m, and only Folivora displayed a significant negative correlation between the number of records and elevation (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S4</bold>
</xref>). Those patterns are also prevalent in most records from each geological era (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures S5</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>S6</bold>
</xref>).</p>
</sec>
<sec id="s3_2">
<title>Fossil preservation and uncertainty</title>
<p>Preservation rates of all analyzed clades increased towards the present (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). Earlier South American clades, like Litopterna, Notoungulata, and Sparassodonta, had the lowest preservation rates, with lower rates before the Miocene that increased over the Pliocene. Early immigrants, Caviomorpha and Primates, alongside Didelphimorphia, had consistently low preservation rates, with the former having no supported shifts in preservation over time. The preservation rates of late immigrants were considerably higher than those of earlier clades (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Preservation rates through time computed by PyRate based on of fossil occurrences of taxa within each South American clade analyzed: <bold>(A)</bold> Litopterna, <bold>(B)</bold> Notoungulata, <bold>(C)</bold> Sparassodonta, <bold>(D)</bold> Cingulata, <bold>(E)</bold> Caviomorpha, <bold>(F)</bold> Primates, <bold>(G)</bold> Folivora, <bold>(H)</bold> Didelphimorphia, <bold>(I)</bold> Carnivora, <bold>(J)</bold> Artiodactyla, and <bold>(K)</bold> Perissodactyla. Art by Felipe C. Coelho.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmamm-03-1518039-g002.tif"/>
</fig>
<p>Those low preservation rates contribute to an increase in the uncertainty in the estimated root age of the earliest clades. For instance, the 95% Highest Posterior Density (HPD) of the root age of the earliest South American clades, Sparassodonta, Litopterna, and Notoungulata, is defined between 65 and 60 Ma, with a mean variance of 2.75 (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). The uncertainty in root age can also be seen by the multiple peaks in the posterior densities for root age estimates of some clades, such as Notoungulata, Sparassodonta, Primates, Folivora, and Didelphimorphia. For instance, the origin (migration) of South American primates is estimated at between 30 and 40 Ma to South America, with considerably high uncertainty in the location of the mode of the posterior density (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). Only Cingulata and Caviomorpha show unimodal posteriors, indicating less uncertainty in the clade&#x2019;s origination (or immigration) time. The arrival of late immigrant clades is also consistently estimated to have occurred between 8 and 9 Ma for Carnivora and Artiodactyla, and between 4 and 6 Ma for Perissodactyla, with the uncertainty being much more constrained in those cases (mean variance of 0.74).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Root age estimates for each South American clade analyzed. Curves represent the Posterior Density Distribution for each clade. Colored areas in the curves represent the 95% Higher Posterior Distribution (HPD) of estimates.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmamm-03-1518039-g003.tif"/>
</fig>
<p>We also detect high variation in the estimates of origination and extinction times for taxa within most clades (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). Uncertainty in speciation and extinction times, measured by the range of the credible interval, were often higher than 5 Myr for taxa of early originating clades such as Litopterna, Notoungulata, Sparrassodonta, and Cingulata, with values over 10 Myr in some cases. For late arriving clades, estimate uncertainty was more constrained, from 1.47 to 1.66 Myr in the time of speciation and 0.37 to 0.82 Myr in the time of extinction (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). Of all clades, Perissodactyla had the lowest level of uncertainty in estimates of times of speciation and extinction.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Level of uncertainty, measured as the range of the 95% Higher Posterior Distribution (HPD), in the estimates of times of speciation and extinction for all taxa within each South American clade analyzed. The black dashed line in the density plots represents the median. Small tick marks represent individual values.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmamm-03-1518039-g004.tif"/>
</fig>
</sec>
<sec id="s3_3">
<title>Diversification dynamics</title>
<p>Despite the uncertainty in the estimates of times of speciation and extinction, fossil occurrences allowed the identification of significant rate shifts throughout the diversification of most South American clades. The estimates of speciation rates suggest high speciation at the origin of Litopterna and Notoungulata during the&#xa0;Paleocene-Eocene transition, followed by a decrease around 55&#xa0;Ma (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S7</bold>
</xref>). Speciation rose again for both clades as well as for Sparasodonta and Cingulata at the Oligocene-Miocene, around 23 Ma. For those clades, however, the rise in speciation was followed by an increase in extinction (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S8</bold>
</xref>), signaling high species turnover and producing negative diversification rates during the early Miocene (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). Despite brief moments of positive diversification between 20 and 18 Ma, negative rates persisted for Litopterna, Notoungulata, and Sparassodonta, indicating a steady decline until the extinction of those clades. Folivora and Cingulata underwent a rise in speciation around 20 Ma during the Early Miocene. For Cingulata this increase was partially compensated by an increase in extinction. Extinction rate then remained constant for both clades until a peak during the Early Pleistocene that yielded negative diversification rates when most lineages in both clades became extinct. Although the credible interval for rate estimates is wide for early South American clades, there is statistical support for those shifts for all clades (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S9</bold>
</xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Net diversification rates through time for each South American clade analyzed: <bold>(A)</bold> Litopterna, <bold>(B)</bold> Notoungulata, <bold>(C)</bold> Sparassodonta, <bold>(D)</bold> Cingulata, <bold>(E)</bold>&#xa0;Caviomorpha, <bold>(F)</bold> Primates, <bold>(G)</bold> Folivora, <bold>(H)</bold> Didelphimorphia, <bold>(I)</bold> Carnivora, <bold>(J)</bold> Artiodactyla, and <bold>(K)</bold> Perissodactyla. Net diversification rate equals speciation minus extinction rates. Art by Felipe C. Coelho.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmamm-03-1518039-g005.tif"/>
</fig>
<p>The two early migrating clades, Caviomorpha and Primates show disparate diversification trajectories according to our analyses (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). Contrary to the other clades which entered a period of negative diversification during the Oligocene-Miocene, Caviomorpha underwent a rise in speciation and a decline in extinction at that point (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures S7</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>S8</bold>
</xref>), which produced a short burst in diversification followed by a drop during the middle Miocene. Extinction rose again in the Pliocene, producing a decline in diversification that was later compensated by an increase in speciation (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures S9</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>S10</bold>
</xref>). Although primates also immigrated relatively early, with the estimated root age for Platyrrhines at least as early as 30 Ma, our analysis suggests that primates only underwent a burst in speciation around 5 Ma, with no shifts in extinction rates (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S10</bold>
</xref>), resulting in a late spike in diversification (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>).</p>
<p>None of the late immigrant clades show shifts in speciation rates (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S11</bold>
</xref>), but speciation was consistently larger than extinction (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures S7</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>S8</bold>
</xref>), generating positive net diversification throughout most of the history of those clades in South America (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). The exception is Perissodactyla, which underwent a peak in extinction between 1.5 Ma and 1 Ma, showing a consistent decline in diversification towards the end of the Pliocene.</p>
<p>Uncertainty in diversification rates for early South American endemic clades was especially high closer to their estimated root age, varying from -2 to 2 lineages/Myr for Sparassodonta, for instance. Uncertainty is also high during most rate shifts. The highest level of uncertainty was in magnitude of the rate shift we detect in Primates, varying from below one to 12 lineages/Myr. This indicates that although we can identify when shifts were more likely, there is a high level of uncertainty on the magnitude of some of those shifts.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Here, we examined the fossil occurrences of Cenozoic mammals available in PBDB to understand the status of the South American mammalian fossil record and evaluate the limitations its temporal and spatial heterogeneity imposes for macroevolutionary studies. Overall we found that the gaps in fossil occurrences affect the precision of estimates for earlier clades and limit the spatial scope of inferences, but can also reveal macroevolutionary patterns that may be informative about the evolution of the South American mammalian fauna as long as they are interpreted with caution.</p>
<p>Almost all South American endemic clades display a significant negative correlation between number of records and latitude, a pattern already observed in earlier studies (<xref ref-type="bibr" rid="B57">Patterson and Pascual, 1968</xref>; <xref ref-type="bibr" rid="B24">Croft, 2012</xref>; <xref ref-type="bibr" rid="B37">Goin et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B18">Carrillo et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B17">Carrillo et&#xa0;al., 2020</xref>). We show that this is even more prevalent for older lineages (e.g., <xref ref-type="bibr" rid="B50">Marshall et&#xa0;al., 1982</xref>; <xref ref-type="bibr" rid="B72">Rougier et&#xa0;al., 2009</xref>) since all records from the Paleocene and most from the Eocene, Oligocene, Miocene, and Pliocene were found around 20&#xb0;S and below. Fossil occurrences from the Pleistocene and Holocene are more evenly distributed across latitudes, and these periods encompass most records from the tropics. This spatial pattern is likely related to the decrease in fossil preservation potential related to climatic conditions but also depends on the availability of sedimentary outcrops and sampling effort (<xref ref-type="bibr" rid="B32">Foote and Miller, 2006</xref>).</p>
<p>The lack of fossil occurrences across South American tropical areas generates an underrepresentation of early lineages of clades that presumably diversified in the tropical region. Didelphimorphia has around 70% of fossil occurrences in temperate areas, yet the highest richness and phylogenetic diversity today is observed in areas of tropical South American forests (<xref ref-type="bibr" rid="B29">Figueiredo and Grelle, 2018</xref>). Several studies, using nuclear genes (<xref ref-type="bibr" rid="B45">Jansa et&#xa0;al., 2014</xref>), mitochondrial genomes and nuclear loci (<xref ref-type="bibr" rid="B52">Mitchell et&#xa0;al., 2014</xref>), and biogeographical reconstruction (<xref ref-type="bibr" rid="B20">Castro et&#xa0;al., 2021</xref>) indicate that the origin and early diversification of Didelphidae occurred in humid forests. This also seems to apply for Caviomorpha, which has about 80% of its fossil occurrences below 20&#xb0;S, but may have diversified in tropical latitudes. Fossil discoveries from the Amazonian rainforest dated to the middle Eocene are interpreted as an indication that the clade only dispersed to higher latitudes after diversifying in low latitudes (<xref ref-type="bibr" rid="B5">Antoine et&#xa0;al., 2011</xref>). However, the spatiotemporal distribution of the fossil record for such clades does not necessarily mirror this complex evolutionary trajectory nor the diversification of tropical lineages. Even for more recent periods, tropical lineages are still underrepresented and, considering that current diversity is considerably greater in the tropics for many lineages, that displays how the variation in preservation and sampling across temperate and tropical areas might induce a misinterpretation of earlier diversity spatial patterns and diversification dynamics. The expectation for the distribution of the fossil occurrences of Caviomorpha and Didelphimorphia, and other South American clades that seem to have diversified in the tropics, is that fossils of tropical lineages would be more frequent than those of temperate ones, which is not the case. An important implication of those patterns is that most of the estimates of diversification rates may represent the dynamics of lineages of southernmost latitudes within each clade and may not be general for the entire clade. Whether or not the lineages with a predominantly tropical distribution followed the same trends cannot be answered with analysis based on the current data.</p>
<p>We also tested the relationship between the number of records and elevation for all clades, and only Folivora displayed a significant negative correlation. However, the majority of South American fossils were found below 1000m. Based on current diversity distribution patterns, a higher frequency of fossil occurrences in lowlands is expected, since species richness often decreases with altitude (<xref ref-type="bibr" rid="B51">McCain and Grytnes, 2010</xref>). Yet, preservation probability is also negatively affected by altitude because of erosion and geological processes (<xref ref-type="bibr" rid="B43">Holland et&#xa0;al., 2022</xref>) and the paucity of fossils in higher altitudes could limit the knowledge about the lineages that evolved in higher elevations, besides impacting our understanding about macroevolutionary phenomena such as radiations driven by mountain uplifts (<xref ref-type="bibr" rid="B60">Perrigo et&#xa0;al., 2020</xref>). Considering how the Andes uplift could have also affected the preservation potential of fossils (<xref ref-type="bibr" rid="B24">Croft, 2012</xref>), this underscores the importance of yet another source of uncertainty related to altitude in one of the most diverse and notorious mammalian fossil records known today. Consequently, diversity patterns and their effects on the diversification history of mammals are subject to be misrepresented due to the spatial patchiness of the fossil record on a regional scale (<xref ref-type="bibr" rid="B12">Benson et&#xa0;al., 2021</xref>).</p>
<p>We can detect the effects of the spatial unevenness of the fossil record when contrasting the patterns we observed for the entire South America with the results of previous studies that focused on specific regions. For example, our diversification rate estimates for notoungulates reveal steep increases and decreases in net diversification rate that differ from those found in a recent analysis on the diversification of Notoungulata focusing solely on the southern region of South America (<xref ref-type="bibr" rid="B84">Sol&#xf3;rzano et&#xa0;al., 2024</xref>). We observed increased speciation and extinction rates during the Paleocene, which are absent in <xref ref-type="bibr" rid="B84">Sol&#xf3;rzano et&#xa0;al. (2024)</xref>. Additionally, the first steep decrease and increase in diversification rates occurred close to 10 and 5 Myr earlier, respectively, and with lower values than those observed by <xref ref-type="bibr" rid="B84">Sol&#xf3;rzano et&#xa0;al. (2024)</xref>. Including records from the entire continent, especially from earlier periods, may have pushed back and decreased the magnitude of estimated rate shifts in their diversification rates. However, we still found roughly similar patterns for later periods, like the early Miocene peak in diversification driven by increased speciation. Considering the gap in the record from tropical regions and high altitudes (<xref ref-type="bibr" rid="B83">Sol&#xf3;rzano and N&#xfa;&#xf1;ez-Flores, 2021</xref>), spatially restricting the analysis may be the best practice. The extent to which those patterns apply to tropical lineages, however, is difficult to assess.</p>
<p>A similar problem applies to all South American clades but may be more relevant for those with worse representation across their range. Sparassodonta, for instance, had only 30 records from tropical regions. With so few records from tropical areas, inferring changes in the diversification history of the clade for the entire continent is not advisable. The patterns we detect are close to those obtained by <xref ref-type="bibr" rid="B61">Pino et&#xa0;al. (2022)</xref> and <xref ref-type="bibr" rid="B87">Tarquini et al. (2022)</xref> but differ from those obtained by <xref ref-type="bibr" rid="B26">Croft et&#xa0;al. (2018)</xref>. Analyzing Sparassodonta diversity within a single region, the latter study found an increase in diversity during the Middle Miocene, whereas our analyses suggest that the clade was already in decline at that point. Such disparities may signal that the clade diversification underwent different dynamics in different regions and reinforce that extrapolating observed macroevolutionary patterns across scales can be misleading.</p>
<p>Of all clades analyzed in this study, New World monkeys (Primates: Platyrrhine) presented the largest divergence in our analysis when compared to previous work, most likely as a consequence of the limited fossil record (<xref ref-type="bibr" rid="B104">&#x17d;liobait&#x117; and Fortelius, 2022</xref>). Additionally, the taxonomic classification of platyrrhine fossils has been discussed among scholars for decades, which increases the uncertainty in macroevolutionary inference based solely on the fossil record. Platyrrhine had the highest uncertainty in the estimated root age, suggesting it to be between 38 and 31 Ma, with estimates around 33 Ma for most replicates. Interestingly, this estimate and the level of uncertainty coincide with estimates using phylogenetic approaches (<xref ref-type="bibr" rid="B10">Beck et&#xa0;al., 2023</xref>). After the discovery of a fossil from the late Eocene (<xref ref-type="bibr" rid="B13">Bond et&#xa0;al., 2015</xref>), <xref ref-type="bibr" rid="B81">Silvestro et&#xa0;al. (2019b)</xref> combined molecular and paleontological evidence and suggested platyrrhine origination at 43 Ma (95% CI: 37.64&#x2013;50.77 Ma). This has significant implications for understanding the evolutionary history of the group, since platyrrhines could have originated in Africa, dispersed to South America, and then became extinct in the continent of origin (<xref ref-type="bibr" rid="B81">Silvestro et&#xa0;al., 2019b</xref>; <xref ref-type="bibr" rid="B13">Bond et&#xa0;al., 2015</xref>). The main contrast with previous work, however, is that here we identify a late burst in Platyrrhini diversification, whereas earlier work using molecular data (<xref ref-type="bibr" rid="B58">Perez et&#xa0;al., 2013</xref>) suggested an early radiation of platyrrhines with a recent slowdown in diversification (<xref ref-type="bibr" rid="B6">Aristide et&#xa0;al., 2015</xref>). This divergence may be a product of the biases in the fossil record. Primates, especially small bodied species, have low fossil recovery rates, which is also associated with their habitat preferences and arboreality. If the group underwent an earlier radiation in the tropics, the analysis of the fossil record may not be able to detect it, even though the signal may be assessed from molecular data. Additionally, there is a lack of platyrrhine intermediate forms in the fossil record, which hinders the understanding of the relationship between groups and their evolutionary history (<xref ref-type="bibr" rid="B75">Schrago, 2007</xref>). In that sense, the patterns we uncover here might not be representative of the entire clade, but influenced by those groups with greater representativeness in the record. This highlights an important aspect of macroevolutionary analysis using fossils: certain lineages within a clade might disproportionately affect observed patterns as a function of variation in preservation potential, demanding a caution when interpreting patterns and trends.</p>
<p>Another temporal incongruence emerges when contrasting the fossil and phylogenetically informed evolution of sloths (Folivora). Although the estimated root age based on fossil occurrences suggests the clade originated and radiated during the late Oligocene, recent phylogenetic studies point towards a much earlier origin in the late Eocene (<xref ref-type="bibr" rid="B88">Tejada et&#xa0;al., 2024</xref>). The most likely reason for this discrepancy is the fossil gap in tropical regions; whereas the fossil record suggests the clade originated in Patagonia, biogeographical reconstructions based on molecular evidence indicate an earlier origin that could have occurred in the Amazon, although fossil evidence in the tropics is limited to a few fragments (<xref ref-type="bibr" rid="B88">Tejada et&#xa0;al., 2024</xref>). Incongruences between macroevolutionary hypotheses supported by fossils and molecular techniques can point to limitations of either type of evidence. Recent advances in the assembly of molecular (e.g., <xref ref-type="bibr" rid="B92">Voloch et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B98">Welker et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B99">Westbury et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B64">Presslee et&#xa0;al., 2019</xref>) and morphological (e.g., <xref ref-type="bibr" rid="B34">Forasiepi, 2009</xref>; <xref ref-type="bibr" rid="B22">Chimento and Agnolin, 2020</xref>; <xref ref-type="bibr" rid="B59">Perini et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B19">Casali et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B66">P&#xfc;schel et&#xa0;al., 2024</xref>) phylogenies will be important to validate estimated patterns as well as to detect unsettled questions in the evolution of South American clades.</p>
<p>Despite the limitations imposed by the gaps in the South&#xa0;American fossil record, it is still possible to detect macroevolutionary patterns that seem to be explained by climatic and geological phenomena. For all earlier clades, we identify more complex diversification dynamics, with greater variation in speciation and extinction rates, during early and middle Miocene. The early Miocene is marked by climatic oscillations (<xref ref-type="bibr" rid="B102">Zachos et&#xa0;al., 1997</xref>), with corresponding shifts in the composition of vegetation in South America, when grass-dominated open habitat begins to expand (<xref ref-type="bibr" rid="B9">Barreda and Palazzesi, 2007</xref>; <xref ref-type="bibr" rid="B86">Str&#xf6;mberg et&#xa0;al., 2013</xref>). Those changes in climate and vegetation seem to correspond with increases in both speciation and extinction rates in the contemporary clades, generating high species turnover and marking the onset of the declining phase of Notoungulata, Litopterna, and Sparassadonta, while seemingly favoring the diversification of Cingulata, Folivora, and Caviomorpha. Temperatures rise during the middle Miocene, with warm, humid conditions peaking between 17 and 15 Ma, the Middle Miocene Climatic Optimum (<xref ref-type="bibr" rid="B25">Croft et&#xa0;al., 2016</xref>). Those changing conditions seem to coincide with the largest drops in the diversification of Litopterna, Sparassodonta, and Caviomorpha, but precede a peak in the diversification of Cingulata. After the Miocene Climatic Optimum, global climate underwent a steady phase of cooling and aridification, shaping the current climatic latitudinal gradients and biogeographical patterns (<xref ref-type="bibr" rid="B40">Herbert et&#xa0;al., 2016</xref>). The uplift of the Eastern part of the Andes between early and late Miocene and marine transgressions in Patagonia (<xref ref-type="bibr" rid="B14">Boschman, 2021</xref>) might also have contributed to the observed shifts in diversification, by&#xa0;changing available habitat and creating greater spatial heterogeneity. Although the climate changes during the late Miocene are often associated with major faunal disruptions in other continents (<xref ref-type="bibr" rid="B35">Fortelius et&#xa0;al., 2006</xref>), we found no detectable shifts in diversification dynamics of any South American clade during this period. Similarly, although increased aridity during the Pliocene has been related to regional faunal turnovers (<xref ref-type="bibr" rid="B91">Vizca&#xed;no et&#xa0;al., 2004</xref>), we only detect extinction peaks during this period in Cingulata and Caviomorpha. This might suggest that the environmental shifts during the early and middle Miocene were more important for reshaping terrestrial mammal diversity in South America than other periods.</p>
<p>The high diversification rates of late immigrant clades suggest continuous radiation since their arrival to South America, but those radiations are not synchronous, supporting a complex history of immigration during the formation of the Panama isthmus (<xref ref-type="bibr" rid="B7">Bacon et&#xa0;al., 2015</xref>). Interestingly, while immigrant clades diversified, many of the clades of South American origin were already in a declining phase, which might signal that, instead of outcompeting the incumbent lineages, arriving lineages benefited from the ecological opportunities generated by extinction (<xref ref-type="bibr" rid="B65">Prevosti et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B17">Carrillo et&#xa0;al., 2020</xref>).</p>
<p>One important caveat is that temporal variation in sampling may also affect some of the temporal patterns we observe in the South American fossil record. The increase in Miocene fossil occurrences for some clades, for instance, may be associated with more adequate preservation conditions caused by climatic or geological phenomena, such as marine transgressions (<xref ref-type="bibr" rid="B28">Cuiti&#xf1;o et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B27">2017</xref>), or higher sampling effort in certain formations, such as Ituzaing&#xf3; Formation in Argentina (<xref ref-type="bibr" rid="B23">Cione et&#xa0;al., 2000</xref>). Presumably, this is addressed by the estimated preservation rate, which is accounted for when computing speciation and extinction rates, but large discrepancies in sampling may still create spurious patterns if the number of taxa or occurrences is too low for some temporal windows. It has already been shown that using small datasets tends to increase Bayesian credible intervals in birth-death models (<xref ref-type="bibr" rid="B80">Silvestro et&#xa0;al., 2014b</xref>) and may present challenges in accurately estimating rate shifts using PyRate (<xref ref-type="bibr" rid="B21">&#x10c;ern&#xfd; et&#xa0;al., 2022</xref>). One possible alternative is to use a lower taxonomic resolution (eg. genus instead of species level) for the analysis, which increases the number of occurrences and may reduce problems associated with geographical representativeness, but then the results may not be comparable with those of studies analyzing species origination and extinction. Although quantitative approaches that account for preservation, like PyRate are helpful to devise hypotheses about the drivers of diversification trends, a more definite answer about the processes shaping macroevolutionary patterns for South American mammals still requires a more equitable representation of the mammalian fossil record across the continent.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusion</title>
<p>Even though South American mammals are known to have a unique evolutionary history, macroevolutionary studies have historically focused on clades from the Northern Hemisphere. The lack of fossil records from tropical and intertropical regions limits our knowledge about the general diversification patterns in the continent, and macroevolutionary inference might need to be restricted to temperate areas where fossil preservation potential, the number of fossiliferous outcrops, and sampling is higher. Although we detect that variation in the completeness of the fossil record does impact the uncertainty in the estimates of times of speciation and extinction and diversification rates, we were still able to identify diversification patterns that may signal true shifts in diversification rather than effects of changes in preservation. The main shortcoming of the South American fossil record is not its overall quality, but its spatiotemporal unevenness. The patterns we detect reflect the dynamics occurring at southernmost latitudes and may not be representative of the entire continent or entire clades. Discrepancies between estimates using fossils and phylogenetic analysis may stem from the fact that molecular data may better capture the history of tropical lineages. With little information on the fossil record of tropical mammals, we still have a large knowledge gap on the diversification of South American mammals, but we are optimistic that combined approaches that account for those uncertainties may help to shed light on the evolutionary history of South American mammals.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: The inputs used to conduct the study are openly available at <uri xlink:href="https://doi.org/10.5281/zenodo.13974828">https://doi.org/10.5281/zenodo.13974828</uri>, an open-source online data repository hosted at Zenodo.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>Ethical approval was not required for the study involving animals in accordance with the local legislation and institutional requirements because the data used for this study comes from the fossil record, openly available at the Paleobiology Database (PBDB).</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>PU: Data curation, Formal Analysis, Investigation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. JN: Data curation, Investigation, Writing &#x2013; review &amp; editing. MP: Conceptualization, Methodology, Writing &#x2013; review &amp;&#xa0;editing, Project administration, Supervision.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. PU is funded by Funda&#xe7;&#xe3;o de Amparo &#xe0; Pesquisa do Estado de S&#xe3;o Paulo (FAPESP) via grant #2023/15709-7. JN is funded by FAPESP via grant #2021/04220-1. MP is funded by FAPESP via grant #2023/03965-9 and Conselho Nacional de Desenvolvimento Cient&#xed;fico e Tecnol&#xf3;gico (CNPq) via grant #313059/2022-5.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We are grateful to Funda&#xe7;&#xe3;o de Amparo &#xe0; Pesquisa do Estado de S&#xe3;o Paulo (FAPESP) and Conselho Nacional de Desenvolvimento Cient&#xed;fico e Tecnol&#xf3;gico (CNPq) for the concession of funds that enabled this study. We also acknowledge the reviewers and the editors of the Research Topic: Emergence of Diversity at Different Scales of Space, Time, and Organizational Complexity within Mammalia.</p>
</ack>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted without any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec id="s12" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s13" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fmamm.2024.1518039/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmamm.2024.1518039/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Presentation1.pdf" id="SM1" mimetype="application/pdf"/>
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