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      Climatic shifts drove major contractions in avian latitudinal distributions throughout the Cenozoic

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          Abstract

          Many higher level avian clades are restricted to Earth’s lower latitudes, leading to historical biogeographic reconstructions favoring a Gondwanan origin of crown birds and numerous deep subclades. However, several such “tropical-restricted” clades (TRCs) are represented by stem-lineage fossils well outside the ranges of their closest living relatives, often on northern continents. To assess the drivers of these geographic disjunctions, we combined ecological niche modeling, paleoclimate models, and the early Cenozoic fossil record to examine the influence of climatic change on avian geographic distributions over the last ∼56 million years. By modeling the distribution of suitable habitable area through time, we illustrate that most Paleogene fossil-bearing localities would have been suitable for occupancy by extant TRC representatives when their stem-lineage fossils were deposited. Potentially suitable habitat for these TRCs is inferred to have become progressively restricted toward the tropics throughout the Cenozoic, culminating in relatively narrow circumtropical distributions in the present day. Our results are consistent with coarse-scale niche conservatism at the clade level and support a scenario whereby climate change over geological timescales has largely dictated the geographic distributions of many major avian clades. The distinctive modern bias toward high avian diversity at tropical latitudes for most hierarchical taxonomic levels may therefore represent a relatively recent phenomenon, overprinting a complex biogeographic history of dramatic geographic range shifts driven by Earth’s changing climate, variable persistence, and intercontinental dispersal. Earth’s current climatic trajectory portends a return to a megathermal state, which may dramatically influence the geographic distributions of many range-restricted extant clades.

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          Conservatism of ecological niches in evolutionary time

          Theory predicts low niche differentiation between species over evolutionary time scales, but little empirical evidence is available. Reciprocal geographic predictions based on ecological niche models of sister taxon pairs of birds, mammals, and butterflies in southern Mexico indicate niche conservatism over several million years of independent evolution (between putative sister taxon pairs) but little conservatism at the level of families. Niche conservatism over such time scales indicates that speciation takes place in geographic, not ecological, dimensions and that ecological differences evolve later.
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            RASP (Reconstruct Ancestral State in Phylogenies): a tool for historical biogeography.

            We announce the release of Reconstruct Ancestral State in Phylogenies (RASP), a user-friendly software package for inferring historical biogeography through reconstructing ancestral geographic distributions on phylogenetic trees. RASP utilizes the widely used Statistical-Dispersal Vicariance Analysis (S-DIVA), the Dispersal-Extinction-Cladogenesis (DEC) model (Lagrange), a Statistical DEC model (S-DEC) and BayArea. It provides a graphical user interface (GUI) to specify a phylogenetic tree or set of trees and geographic distribution constraints, draws pie charts on the nodes of a phylogenetic tree to indicate levels of uncertainty, and generates high-quality exportable graphical results. RASP can run on both Windows and Mac OS X platforms. All documentation and source code for RASP is freely available at http://mnh.scu.edu.cn/soft/blog/RASP.
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              Global continental and ocean basin reconstructions since 200Ma

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                Author and article information

                Journal
                Proceedings of the National Academy of Sciences
                Proc Natl Acad Sci USA
                Proceedings of the National Academy of Sciences
                0027-8424
                1091-6490
                June 10 2019
                : 201903866
                Article
                10.1073/pnas.1903866116
                6601418
                31182570
                62c52bb6-b193-4dd6-98a0-8da86bbc7fa1
                © 2019

                Free to read

                https://www.pnas.org/site/aboutpnas/licenses.xhtml

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