The biomass burning contribution to climate–carbon-cycle feedback
Temperature exerts strong controls on the incidence and severity of fire. All else equal, warming is expected to increase fire-related carbon emissions, and thereby atmospheric CO<sub>2</sub>. But the magnitude of this feedback is very poorly known. We use a single-box model of the la...
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2018-05-01
|
Series: | Earth System Dynamics |
Online Access: | https://www.earth-syst-dynam.net/9/663/2018/esd-9-663-2018.pdf |
id |
doaj-01b84206a3e343b9bd1c6d4ceaa7ffbd |
---|---|
record_format |
Article |
spelling |
doaj-01b84206a3e343b9bd1c6d4ceaa7ffbd2020-11-25T00:17:28ZengCopernicus PublicationsEarth System Dynamics2190-49792190-49872018-05-01966367710.5194/esd-9-663-2018The biomass burning contribution to climate–carbon-cycle feedbackS. P. Harrison0P. J. Bartlein1V. Brovkin2S. Houweling3S. Kloster4I. C. Prentice5Department of Geography and Environmental Science, University of Reading, Whiteknights, Reading, RG6 6AB, UKDepartment of Geography, University of Oregon, Eugene, Oregon 97403–1251, USAMax Planck Institute for Meteorology, Bundesstraße 53, 20146 Hamburg, GermanyDepartment of Earth Sciences, Vrije Universiteit Amsterdam, De Boelelaan 1085, 1081 HV Amsterdam, The NetherlandsMax Planck Institute for Meteorology, Bundesstraße 53, 20146 Hamburg, GermanyAXA Chair of Biosphere and Climate Impacts, Department of Life Sciences, Imperial College London, Ascot, SL5 7PY, UKTemperature exerts strong controls on the incidence and severity of fire. All else equal, warming is expected to increase fire-related carbon emissions, and thereby atmospheric CO<sub>2</sub>. But the magnitude of this feedback is very poorly known. We use a single-box model of the land biosphere to quantify this positive feedback from satellite-based estimates of biomass burning emissions for 2000–2014 CE and from sedimentary charcoal records for the millennium before the industrial period. We derive an estimate of the centennial-scale feedback strength of 6.5 ± 3.4 ppm CO<sub>2</sub> per degree of land temperature increase, based on the satellite data. However, this estimate is poorly constrained, and is largely driven by the well-documented dependence of tropical deforestation and peat fires (primarily anthropogenic) on climate variability patterns linked to the El Niño–Southern Oscillation. Palaeo-data from pre-industrial times provide the opportunity to assess the fire-related climate–carbon-cycle feedback over a longer period, with less pervasive human impacts. Past biomass burning can be quantified based on variations in either the concentration and isotopic composition of methane in ice cores (with assumptions about the isotopic signatures of different methane sources) or the abundances of charcoal preserved in sediments, which reflect landscape-scale changes in burnt biomass. These two data sources are shown here to be coherent with one another. The more numerous data from sedimentary charcoal, expressed as normalized anomalies (fractional deviations from the long-term mean), are then used – together with an estimate of mean biomass burning derived from methane isotope data – to infer a feedback strength of 5.6 ± 3.2 ppm CO<sub>2</sub> per degree of land temperature and (for a climate sensitivity of 2.8 K) a gain of 0.09 ± 0.05. This finding indicates that the positive carbon cycle feedback from increased fire provides a substantial contribution to the overall climate–carbon-cycle feedback on centennial timescales. Although the feedback estimates from palaeo- and satellite-era data are in agreement, this is likely fortuitous because of the pervasive influence of human activities on fire regimes during recent decades.https://www.earth-syst-dynam.net/9/663/2018/esd-9-663-2018.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
S. P. Harrison P. J. Bartlein V. Brovkin S. Houweling S. Kloster I. C. Prentice |
spellingShingle |
S. P. Harrison P. J. Bartlein V. Brovkin S. Houweling S. Kloster I. C. Prentice The biomass burning contribution to climate–carbon-cycle feedback Earth System Dynamics |
author_facet |
S. P. Harrison P. J. Bartlein V. Brovkin S. Houweling S. Kloster I. C. Prentice |
author_sort |
S. P. Harrison |
title |
The biomass burning contribution to climate–carbon-cycle feedback |
title_short |
The biomass burning contribution to climate–carbon-cycle feedback |
title_full |
The biomass burning contribution to climate–carbon-cycle feedback |
title_fullStr |
The biomass burning contribution to climate–carbon-cycle feedback |
title_full_unstemmed |
The biomass burning contribution to climate–carbon-cycle feedback |
title_sort |
biomass burning contribution to climate–carbon-cycle feedback |
publisher |
Copernicus Publications |
series |
Earth System Dynamics |
issn |
2190-4979 2190-4987 |
publishDate |
2018-05-01 |
description |
Temperature exerts strong controls on the incidence and severity of fire. All
else equal, warming is expected to increase fire-related carbon emissions,
and thereby atmospheric CO<sub>2</sub>. But the magnitude of this feedback is very
poorly known. We use a single-box model of the land biosphere to quantify
this positive feedback from satellite-based estimates of biomass burning
emissions for 2000–2014 CE and from sedimentary charcoal records for the
millennium before the industrial period. We derive an estimate of the
centennial-scale feedback strength of 6.5 ± 3.4 ppm CO<sub>2</sub> per
degree of land temperature increase, based on the satellite data. However,
this estimate is poorly constrained, and is largely driven by the
well-documented dependence of tropical deforestation and peat fires
(primarily anthropogenic) on climate variability patterns linked to the El
Niño–Southern Oscillation. Palaeo-data from pre-industrial times provide
the opportunity to assess the fire-related climate–carbon-cycle feedback over
a longer period, with less pervasive human impacts. Past biomass burning can
be quantified based on variations in either the concentration and isotopic
composition of methane in ice cores (with assumptions about the isotopic
signatures of different methane sources) or the abundances of charcoal
preserved in sediments, which reflect landscape-scale changes in burnt
biomass. These two data sources are shown here to be coherent with one
another. The more numerous data from sedimentary charcoal, expressed as
normalized anomalies (fractional deviations from the long-term mean), are
then used – together with an estimate of mean biomass burning derived from
methane isotope data – to infer a feedback strength of
5.6 ± 3.2 ppm CO<sub>2</sub> per degree of land temperature and (for a
climate sensitivity of 2.8 K) a gain of 0.09 ± 0.05. This finding
indicates that the positive carbon cycle feedback from increased fire
provides a substantial contribution to the overall climate–carbon-cycle
feedback on centennial timescales. Although the feedback estimates from
palaeo- and satellite-era data are in agreement, this is likely fortuitous
because of the pervasive influence of human activities on fire regimes during
recent decades. |
url |
https://www.earth-syst-dynam.net/9/663/2018/esd-9-663-2018.pdf |
work_keys_str_mv |
AT spharrison thebiomassburningcontributiontoclimatecarboncyclefeedback AT pjbartlein thebiomassburningcontributiontoclimatecarboncyclefeedback AT vbrovkin thebiomassburningcontributiontoclimatecarboncyclefeedback AT shouweling thebiomassburningcontributiontoclimatecarboncyclefeedback AT skloster thebiomassburningcontributiontoclimatecarboncyclefeedback AT icprentice thebiomassburningcontributiontoclimatecarboncyclefeedback AT spharrison biomassburningcontributiontoclimatecarboncyclefeedback AT pjbartlein biomassburningcontributiontoclimatecarboncyclefeedback AT vbrovkin biomassburningcontributiontoclimatecarboncyclefeedback AT shouweling biomassburningcontributiontoclimatecarboncyclefeedback AT skloster biomassburningcontributiontoclimatecarboncyclefeedback AT icprentice biomassburningcontributiontoclimatecarboncyclefeedback |
_version_ |
1725379636536279040 |