Pace, magnitude, and nature of terrestrial climate change through the end-Permian extinction in southeastern GondwanaShow others and affiliations
2021 (English)In: Geology, ISSN 0091-7613, E-ISSN 1943-2682, Vol. 49, no 9, p. 1089-1095Article in journal (Refereed) Published
Abstract [en]
Rapid climate change was a major contributor to the end-Permian extinction (EPE). Although well constrained for the marine realm, relatively few records document the pace, nature, and magnitude of climate change across the EPE in terrestrial environments. We generated proxy records for chemical weathering and land surface temperature from continental margin deposits of the high-latitude southeastern margin of Gondwana. Regional climate simulations provide additional context. Results show that Glossopteris forest-mire ecosystems collapsed during a pulse of intense chemical weathering and peak warmth, which capped ∼1 m.y. of gradual warming and intensification of seasonality. Erosion resulting from loss of vegetation was short lived in the low-relief landscape. Earliest Triassic climate was∼10–14 °C warmer than the late Lopingian and landscapes were no longer persistently wet. Aridification, commonly linked to the EPE, developed gradually, facilitating the persistence of refugia for moisture-loving terrestrial groups.
Place, publisher, year, edition, pages
Geological Society of America , 2021. Vol. 49, no 9, p. 1089-1095
Keywords [en]
Geology, Glossopteris, palaeoclimate, Permian, Triassic, extinction
National Category
Geosciences, Multidisciplinary Other Earth Sciences
Research subject
The changing Earth
Identifiers
URN: urn:nbn:se:nrm:diva-4341DOI: 10.1130/g48795.1OAI: oai:DiVA.org:nrm-4341DiVA, id: diva2:1614558
Funder
Swedish Research Council, 2019-4061Swedish Research Council, 2014-5234Swedish Research Council, 2018-04527
Note
This research was also funded by U.S. National Science Foundation (NSF) grants EAR-1636625 (C.R. Fielding and D. Frank) and EAR-1636629 (A.M.E. Winguth and C. Winguth), and the Royal Swedish Academy of Sciences. We acknowledge NSF-sponsored high-performance computing support from Cheyenne provided by the U.S. National Center for Atmospheric Research (NCAR) Computational and Information Systems Laboratory.
2021-11-262021-11-262025-09-12Bibliographically approved