Quantitative comparison of geological data and model simulations constrains early Cambrian geography and climate
International audience Marine ecosystems with a diverse range of animal groups became established during the early Cambrian (~541 to~509 Ma). However, Earth's environmental parameters and palaeogeography in this interval of major macro-evolutionary change remain poorly constrained. Here, we tes...
Published in: | Nature Communications |
---|---|
Main Authors: | , , , , , , , , |
Other Authors: | , , , , , , , , , , , , , , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
HAL CCSD
2021
|
Subjects: | |
Online Access: | https://hal.science/hal-03273912 https://hal.science/hal-03273912/document https://hal.science/hal-03273912/file/s41467-021-24141-5.pdf https://doi.org/10.1038/s41467-021-24141-5 |
id |
ftunivnantes:oai:HAL:hal-03273912v1 |
---|---|
record_format |
openpolar |
institution |
Open Polar |
collection |
Université de Nantes: HAL-UNIV-NANTES |
op_collection_id |
ftunivnantes |
language |
English |
topic |
[SDE.MCG]Environmental Sciences/Global Changes [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology |
spellingShingle |
[SDE.MCG]Environmental Sciences/Global Changes [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology Wong Hearing, Thomas, Pohl, Alexandre Williams, Mark Donnadieu, Yannick Harvey, Thomas, Scotese, Christopher, Sepulchre, Pierre Franc, Alain Vandenbroucke, Thijs Quantitative comparison of geological data and model simulations constrains early Cambrian geography and climate |
topic_facet |
[SDE.MCG]Environmental Sciences/Global Changes [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology |
description |
International audience Marine ecosystems with a diverse range of animal groups became established during the early Cambrian (~541 to~509 Ma). However, Earth's environmental parameters and palaeogeography in this interval of major macro-evolutionary change remain poorly constrained. Here, we test contrasting hypotheses of continental configuration and climate that have profound implications for interpreting Cambrian environmental proxies. We integrate general circulation models and geological observations to test three variants of the 'Antarctocentric' paradigm, with a southern polar continent, and an 'equatorial' configuration that lacks polar continents. This quantitative framework can be applied to other deep-time intervals when environmental proxy data are scarce. Our results show that the Antarctocentric palaeogeographic paradigm can reconcile geological data and simulated Cambrian climate. Our analyses indicate a greenhouse climate during the Cambrian animal radiation, with mean annual sea-surface temperatures between~9°C to~19°C and~30°C to~38°C for polar and tropical palaeolatitudes, respectively. |
author2 |
Universiteit Gent = Ghent University (UGENT) University of Leicester Biogéosciences UMR 6282 (BGS) Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS) University of California Riverside (UC Riverside) University of California (UC) Centre européen de recherche et d'enseignement des géosciences de l'environnement (CEREGE) Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Collège de France (CdF (institution))-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) Northwestern University Evanston Modélisation du climat (CLIM) Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette (LSCE) Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS) Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS) Institut Pierre-Simon-Laplace (IPSL (FR_636)) École normale supérieure - Paris (ENS-PSL) Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité) Biodiversité, Gènes & Communautés (BioGeCo) Université de Bordeaux (UB)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) from patterns to models in computational biodiversity and biotechnology (PLEIADE) Laboratoire Bordelais de Recherche en Informatique (LaBRI) Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS)-Inria Bordeaux - Sud-Ouest Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Biodiversité, Gènes & Communautés (BioGeCo) Université de Bordeaux (UB)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) This project began during TWWH’s PhD research, funded by NERC studentship NE/L0022493/1 within the Central England NERC Training Alliance (CENTA) with CASE partnership funding from the BGS (BUFI S266). It was finalised during TWWH’s Ghent University Special Research Fund (BOF) Fellowship 01P12419. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 838373 to AP. Calculations were performed using HPC resources from DNUM CCUB (Centre de Calcul de l’Université de Bourgogne). TRAV was supported by Ghent University BOF grant BOF17/STA/013. |
format |
Article in Journal/Newspaper |
author |
Wong Hearing, Thomas, Pohl, Alexandre Williams, Mark Donnadieu, Yannick Harvey, Thomas, Scotese, Christopher, Sepulchre, Pierre Franc, Alain Vandenbroucke, Thijs |
author_facet |
Wong Hearing, Thomas, Pohl, Alexandre Williams, Mark Donnadieu, Yannick Harvey, Thomas, Scotese, Christopher, Sepulchre, Pierre Franc, Alain Vandenbroucke, Thijs |
author_sort |
Wong Hearing, Thomas, |
title |
Quantitative comparison of geological data and model simulations constrains early Cambrian geography and climate |
title_short |
Quantitative comparison of geological data and model simulations constrains early Cambrian geography and climate |
title_full |
Quantitative comparison of geological data and model simulations constrains early Cambrian geography and climate |
title_fullStr |
Quantitative comparison of geological data and model simulations constrains early Cambrian geography and climate |
title_full_unstemmed |
Quantitative comparison of geological data and model simulations constrains early Cambrian geography and climate |
title_sort |
quantitative comparison of geological data and model simulations constrains early cambrian geography and climate |
publisher |
HAL CCSD |
publishDate |
2021 |
url |
https://hal.science/hal-03273912 https://hal.science/hal-03273912/document https://hal.science/hal-03273912/file/s41467-021-24141-5.pdf https://doi.org/10.1038/s41467-021-24141-5 |
genre |
Antarc* |
genre_facet |
Antarc* |
op_source |
ISSN: 2041-1723 EISSN: 2041-1723 Nature Communications https://hal.science/hal-03273912 Nature Communications, 2021, 12, ⟨10.1038/s41467-021-24141-5⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41467-021-24141-5 info:eu-repo/semantics/altIdentifier/pmid/34162853 hal-03273912 https://hal.science/hal-03273912 https://hal.science/hal-03273912/document https://hal.science/hal-03273912/file/s41467-021-24141-5.pdf doi:10.1038/s41467-021-24141-5 PUBMED: 34162853 WOS: 000668762000010 |
op_rights |
http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1038/s41467-021-24141-5 |
container_title |
Nature Communications |
container_volume |
12 |
container_issue |
1 |
_version_ |
1766273790962040832 |
spelling |
ftunivnantes:oai:HAL:hal-03273912v1 2023-05-15T14:03:14+02:00 Quantitative comparison of geological data and model simulations constrains early Cambrian geography and climate Wong Hearing, Thomas, Pohl, Alexandre Williams, Mark Donnadieu, Yannick Harvey, Thomas, Scotese, Christopher, Sepulchre, Pierre Franc, Alain Vandenbroucke, Thijs Universiteit Gent = Ghent University (UGENT) University of Leicester Biogéosciences UMR 6282 (BGS) Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS) University of California Riverside (UC Riverside) University of California (UC) Centre européen de recherche et d'enseignement des géosciences de l'environnement (CEREGE) Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Collège de France (CdF (institution))-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) Northwestern University Evanston Modélisation du climat (CLIM) Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette (LSCE) Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS) Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS) Institut Pierre-Simon-Laplace (IPSL (FR_636)) École normale supérieure - Paris (ENS-PSL) Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité) Biodiversité, Gènes & Communautés (BioGeCo) Université de Bordeaux (UB)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) from patterns to models in computational biodiversity and biotechnology (PLEIADE) Laboratoire Bordelais de Recherche en Informatique (LaBRI) Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS)-Inria Bordeaux - Sud-Ouest Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Biodiversité, Gènes & Communautés (BioGeCo) Université de Bordeaux (UB)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) This project began during TWWH’s PhD research, funded by NERC studentship NE/L0022493/1 within the Central England NERC Training Alliance (CENTA) with CASE partnership funding from the BGS (BUFI S266). It was finalised during TWWH’s Ghent University Special Research Fund (BOF) Fellowship 01P12419. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 838373 to AP. Calculations were performed using HPC resources from DNUM CCUB (Centre de Calcul de l’Université de Bourgogne). TRAV was supported by Ghent University BOF grant BOF17/STA/013. 2021-06-23 https://hal.science/hal-03273912 https://hal.science/hal-03273912/document https://hal.science/hal-03273912/file/s41467-021-24141-5.pdf https://doi.org/10.1038/s41467-021-24141-5 en eng HAL CCSD Nature Publishing Group info:eu-repo/semantics/altIdentifier/doi/10.1038/s41467-021-24141-5 info:eu-repo/semantics/altIdentifier/pmid/34162853 hal-03273912 https://hal.science/hal-03273912 https://hal.science/hal-03273912/document https://hal.science/hal-03273912/file/s41467-021-24141-5.pdf doi:10.1038/s41467-021-24141-5 PUBMED: 34162853 WOS: 000668762000010 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 2041-1723 EISSN: 2041-1723 Nature Communications https://hal.science/hal-03273912 Nature Communications, 2021, 12, ⟨10.1038/s41467-021-24141-5⟩ [SDE.MCG]Environmental Sciences/Global Changes [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology info:eu-repo/semantics/article Journal articles 2021 ftunivnantes https://doi.org/10.1038/s41467-021-24141-5 2023-03-08T02:53:32Z International audience Marine ecosystems with a diverse range of animal groups became established during the early Cambrian (~541 to~509 Ma). However, Earth's environmental parameters and palaeogeography in this interval of major macro-evolutionary change remain poorly constrained. Here, we test contrasting hypotheses of continental configuration and climate that have profound implications for interpreting Cambrian environmental proxies. We integrate general circulation models and geological observations to test three variants of the 'Antarctocentric' paradigm, with a southern polar continent, and an 'equatorial' configuration that lacks polar continents. This quantitative framework can be applied to other deep-time intervals when environmental proxy data are scarce. Our results show that the Antarctocentric palaeogeographic paradigm can reconcile geological data and simulated Cambrian climate. Our analyses indicate a greenhouse climate during the Cambrian animal radiation, with mean annual sea-surface temperatures between~9°C to~19°C and~30°C to~38°C for polar and tropical palaeolatitudes, respectively. Article in Journal/Newspaper Antarc* Université de Nantes: HAL-UNIV-NANTES Nature Communications 12 1 |