2017
DOI: 10.31219/osf.io/h52d6
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Paleolatitudinal distribution of lithologic indicators of climate in a paleogeographic framework

Abstract: -Whether the latitudinal distribution of climate-sensitive lithologies is stable through greenhouse and icehouse regimes remains unclear. Previous studies suggest that the palaeolatitudinal distribution of palaeoclimate indicators, including coals, evaporites, reefs and carbonates, has remained broadly similar since the Permian period, leading to the conclusion that atmospheric and oceanic circulation control their distribution rather than the latitudinal temperature gradient. Here we revisit a global-scale co… Show more

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Cited by 3 publications
(13 citation statements)
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“…difference between the DJF, MAM, JJA, and SON seasonal averages) for the 225 and 75 Ma timeslices of the P pCO2_1000ppm pathway. Gray lines indicate the tectonic plate boundaries in the rotation model of Scotese (2008) (as published by Cao et al., 2018). (c) The gray shading shows the changing latitudinal land area distribution implemented in the simulations.…”
Section: Resultsmentioning
confidence: 99%
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“…difference between the DJF, MAM, JJA, and SON seasonal averages) for the 225 and 75 Ma timeslices of the P pCO2_1000ppm pathway. Gray lines indicate the tectonic plate boundaries in the rotation model of Scotese (2008) (as published by Cao et al., 2018). (c) The gray shading shows the changing latitudinal land area distribution implemented in the simulations.…”
Section: Resultsmentioning
confidence: 99%
“…In contrast to, for example, glacial deposits, they cannot be interpreted primarily as temperature proxies. Gray lines indicate the tectonic plate boundaries in the rotation model of Scotese (2008) (as published by Cao et al., 2018).…”
Section: Resultsmentioning
confidence: 99%
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“…GPlates allows users to explore the evolution of the entire Earth system in accordance with past tectonic plate configurations (e.g., Matthews et al, ; Müller, Seton, et al, ) by combining GPlates with a variety of research tools, data, and workflows. GPlates applications include deep Earth dynamics (e.g., Bower et al, ; Coltice et al, ; Flament et al, ; Shephard et al, ), global and regional dynamic surface topography (e.g., Barnett‐Moore et al, ; Flament et al, ; Harrington et al, ; R. Müller et al, ; Rubey et al, ; Spasojevic & Gurnis, ), tectonics and continental margin reconstruction (e.g., Brune et al, ; Williams et al, ; Zahirovic et al, ), evolution of continental stress fields (e.g., Dyksterhuis & Müller, ; Müller et al, ), evolution of river systems (Salles et al, ) and carbonate reefs (DiCaprio et al, ), long‐term sea level change (e.g., Müller et al, ; Spasojevic & Gurnis, ), biological evolution (Lehtonen et al, ), the evolution of sedimentation in the ocean basins (Dutkiewicz et al, ), sedimentary basin kinematics (Heine et al, ; Pángaro & Ramos, ; Torsvik et al, ) and dynamic evolution (Yang et al, ; Zahirovic et al, ), mountain building processes (Cook et al, ), continental arc evolution (Cao, Lee, et al, ), global paleogeography (Cao et al, ; Herold et al, ; Herold et al, ; Scotese & Schettino, ; van Hinsbergen et al, ; Wright et al, ), and the evolution of climate and vegetation (Henrot et al, ; Herold et al, ; Huber, ; O'Regan et al, ) and ocean circulation (Hague et al, ; Herold et al, ; Scher et al, ).…”
Section: Gplates Functionality and Applicationsmentioning
confidence: 99%