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Design and Use of a Full Flow Sampling System FFS for the Quantification of Methane Emissions
Published on: June 12, 2016
Increased terrestrial methane cycling at the Palaeocene-Eocene thermal maximum
Richard D Pancost1, David S Steart, Luke Handley
1Organic Geochemistry Unit, Bristol Biogeochemistry Research Centre, School of Chemistry, University of Bristol, Cantock's Close, Bristol BS8 1TS, UK. r.d.pancost@bristol.ac.uk
The Paleocene-Eocene Thermal Maximum (PETM) warming event may have been amplified by increased methane release from terrestrial wetlands. Bacterial biomarkers indicate rising methane production, suggesting a positive feedback loop during this ancient global warming period.
Area of Science:
- Paleoclimatology
- Biogeochemistry
- Environmental Science
Background:
- The Paleocene-Eocene Thermal Maximum (PETM) was a period of rapid global warming approximately 55 million years ago.
- The primary driver is thought to be a surge in greenhouse gases, with methane hydrate dissociation as a leading hypothesis.
- Previous research suggested terrestrial methane emissions could exacerbate warming, but direct evidence from wetlands was scarce.
Observation:
- The Cobham Lignite deposit in England captures the PETM onset, offering a unique window into wetland ecosystem responses.
- Bacterial hopanoids, a type of biomarker, were identified in mire sediments from this deposit.
- A significant decrease in hopanoid carbon isotope values was observed at the PETM onset.
Findings:
- The carbon isotope shift suggests an expansion of the methanotroph population within the wetland ecosystem.
- This microbial shift points to increased methane production, likely triggered by a warmer and wetter climate.
- The study provides direct evidence for enhanced methane release from the terrestrial biosphere during the PETM.
Implications:
- The findings support the hypothesis that terrestrial methane release acted as a positive feedback mechanism during the PETM.
- This highlights the crucial role of wetland ecosystems in regulating ancient climate dynamics.
- Understanding these past feedbacks is vital for predicting future climate change scenarios.
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