Assessing the Duration of the Paleocene‐Eocene Thermal Maximum

Abstract The Paleocene‐Eocene Thermal Maximum (PETM) was a climate/carbon cycle perturbation recognized in stable carbon isotope (δ 13 C) records with a negative carbon isotope excursion (CIE). The PETM CIE termination has been associated with a δ 13 C inflection with pre‐PETM‐like values referred to as the G point. However, the G point approach has produced variable PETM CIE duration estimates (∼120–230 kyr), which reflects a need to test its reliability. Here, we apply statistical analyses to existing δ 13 C records and reveal that the G point is sensitive to underlying δ 13 C uncertainties. We generate a probabilistic‐based CIE detection limit, which constrains the time range over which the PETM is detected in δ 13 C records. This protocol reveals a protracted CIE recovery (>145 kyr) that accounts for a 268.8 +21.2 / −20.5 kyr PETM CIE duration. Our new duration estimate exceeds previous values, which confirms the potential of extreme carbon cycle perturbations to cause long‐lasting carbon cycle disruptions.

Authors

Institutions

Publication Details

Journal
Geophysical Research Letters
Published
2025-04-01
DOI
https://doi.org/10.1029/2024gl113117
Citations
11
Primary Topic
Geology and Paleoclimatology Research
Type
article
Field-Weighted Citation Impact
14.31

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing the Duration of the Paleocene‐Eocene Thermal Maximum

Fabio Florindo, Simone Galeotti, Victor A. Piedrahita, David Heslop et al.
11 citations
Geophysical Research Letters
Geology and Paleoclimatology Research
14.31
article

Assessing the Duration of the Paleocene‐Eocene Thermal Maximum

Fabio Florindo, Simone Galeotti, Victor A. Piedrahita, David Heslop, Eelco J. Rohling, Jinhua Li, Andrew P. Roberts
article en
11 citations

Abstract

Abstract The Paleocene‐Eocene Thermal Maximum (PETM) was a climate/carbon cycle perturbation recognized in stable carbon isotope (δ 13 C) records with a negative carbon isotope excursion (CIE). The PETM CIE termination has been associated with a δ 13 C inflection with pre‐PETM‐like values referred to as the G point. However, the G point approach has produced variable PETM CIE duration estimates (∼120–230 kyr), which reflects a need to test its reliability. Here, we apply statistical analyses to existing δ 13 C records and reveal that the G point is sensitive to underlying δ 13 C uncertainties. We generate a probabilistic‐based CIE detection limit, which constrains the time range over which the PETM is detected in δ 13 C records. This protocol reveals a protracted CIE recovery (>145 kyr) that accounts for a 268.8 +21.2 / −20.5 kyr PETM CIE duration. Our new duration estimate exceeds previous values, which confirms the potential of extreme carbon cycle perturbations to cause long‐lasting carbon cycle disruptions.

Geophysical Research LettersVol. 52(7)
Australian National University (AU), University of Urbino (IT), Utrecht University (NL), National Oceanography Centre (GB), Chinese Academy of Sciences (CN), Istituto Nazionale di Geofisica e Vulcanologia (IT), Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (CN), Qingdao National Laboratory for Marine Science and Technology (CN), Institute of Geology and Geophysics (CN), University of Chinese Academy of Sciences (CN), University of Southampton (GB), Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) (CN)
National Natural Science Foundation of China, Chinese Academy of Sciences, China Postdoctoral Science Foundation, Australian Research Council
Openalex Percentile: Top 1%
Geology and Paleoclimatology Research
14.31
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.