Climate, CO<sub>2</sub> and human population impacts on global wildfire emissions
Wildfires are by far the largest contributor to global biomass burning and constitute a large global source of atmospheric traces gases and aerosols. Such emissions have a considerable impact on air quality and constitute a major health hazard. Biomass burning also influences the radiative balance o...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2016-01-01
|
Series: | Biogeosciences |
Online Access: | http://www.biogeosciences.net/13/267/2016/bg-13-267-2016.pdf |
id |
doaj-7f0d8d8f69ba490fa9527aef5ec53a64 |
---|---|
record_format |
Article |
spelling |
doaj-7f0d8d8f69ba490fa9527aef5ec53a642020-11-25T00:11:00ZengCopernicus PublicationsBiogeosciences1726-41701726-41892016-01-0113126728210.5194/bg-13-267-2016Climate, CO<sub>2</sub> and human population impacts on global wildfire emissionsW. Knorr0L. Jiang1A. Arneth2Physical Geography and Ecosystem Analysis, Lund University, Sölvegatan 12, 22362 Lund, SwedenAsian Demographic Research Institute, Shanghai University, ChinaDivision of Ecosystem-Atmosphere Interactions, KIT/IMK-IFU, Garmisch-Partenkirchen, GermanyWildfires are by far the largest contributor to global biomass burning and constitute a large global source of atmospheric traces gases and aerosols. Such emissions have a considerable impact on air quality and constitute a major health hazard. Biomass burning also influences the radiative balance of the atmosphere and is thus not only of societal, but also of significant scientific interest. There is a common perception that climate change will lead to an increase in emissions as hot and dry weather events that promote wildfire will become more common. However, even though a few studies have found that the inclusion of CO<sub>2</sub> fertilisation of photosynthesis and changes in human population patterns will tend to somewhat lower predictions of future wildfire emissions, no such study has included full ensemble ranges of both climate predictions and population projections, including the effect of different degrees of urbanisation.</p><p class="p">Here, we present a series of 124 simulations with the LPJ–GUESS–SIMFIRE global dynamic vegetation–wildfire model, including a semi-empirical formulation for the prediction of burned area based on fire weather, fuel continuity and human population density. The simulations use Climate Model Intercomparison Project 5 (CMIP5) climate predictions from eight Earth system models. These were combined with two Representative Concentration Pathways (RCPs) and five scenarios of future human population density based on the series of Shared Socioeconomic Pathways (SSPs) to assess the sensitivity of emissions to the effect of climate, CO<sub>2</sub> and humans. In addition, two alternative parameterisations of the semi-empirical burned-area model were applied. Contrary to previous work, we find no clear future trend of global wildfire emissions for the moderate emissions and climate change scenario based on the RCP 4.5. Only historical population change introduces a decline by around 15 % since 1900. Future emissions could either increase for low population growth and fast urbanisation, or continue to decline for high population growth and slow urbanisation. Only for high future climate change (RCP8.5), wildfire emissions start to rise again after ca. 2020 but are unlikely to reach the levels of 1900 by the end of the 21st century. We find that climate warming will generally increase the risk of fire, but that this is only one of several equally important factors driving future levels of wildfire emissions, which include population change, CO<sub>2</sub> fertilisation causing woody thickening, increased productivity and fuel load and faster litter turnover in a warmer climate.http://www.biogeosciences.net/13/267/2016/bg-13-267-2016.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
W. Knorr L. Jiang A. Arneth |
spellingShingle |
W. Knorr L. Jiang A. Arneth Climate, CO<sub>2</sub> and human population impacts on global wildfire emissions Biogeosciences |
author_facet |
W. Knorr L. Jiang A. Arneth |
author_sort |
W. Knorr |
title |
Climate, CO<sub>2</sub> and human population impacts on global wildfire emissions |
title_short |
Climate, CO<sub>2</sub> and human population impacts on global wildfire emissions |
title_full |
Climate, CO<sub>2</sub> and human population impacts on global wildfire emissions |
title_fullStr |
Climate, CO<sub>2</sub> and human population impacts on global wildfire emissions |
title_full_unstemmed |
Climate, CO<sub>2</sub> and human population impacts on global wildfire emissions |
title_sort |
climate, co<sub>2</sub> and human population impacts on global wildfire emissions |
publisher |
Copernicus Publications |
series |
Biogeosciences |
issn |
1726-4170 1726-4189 |
publishDate |
2016-01-01 |
description |
Wildfires are by far the largest contributor to global biomass burning and
constitute a large global source of atmospheric traces gases and aerosols.
Such emissions have a considerable impact on air quality and constitute a
major health hazard. Biomass burning also influences the radiative balance
of the atmosphere and is thus not only of societal, but also of significant
scientific interest. There is a common perception that climate change will
lead to an increase in emissions as hot and dry weather events that promote
wildfire will become more common. However, even though a few studies have
found that the inclusion of CO<sub>2</sub> fertilisation of photosynthesis and
changes in human population patterns will tend to somewhat lower predictions
of future wildfire emissions, no such study has included full ensemble
ranges of both climate predictions and population projections, including the
effect of different degrees of urbanisation.</p><p class="p">Here, we present a series of 124 simulations with the LPJ–GUESS–SIMFIRE
global dynamic vegetation–wildfire model, including a semi-empirical
formulation for the prediction of burned area based on fire weather, fuel
continuity and human population density. The simulations use Climate
Model Intercomparison Project 5 (CMIP5) climate predictions from eight Earth
system models. These were combined with two Representative Concentration Pathways (RCPs) and five
scenarios of future human population density based on the series of Shared
Socioeconomic Pathways (SSPs) to assess the sensitivity of emissions to the effect of climate, CO<sub>2</sub> and humans. In addition, two alternative
parameterisations of the semi-empirical burned-area model were applied. Contrary to
previous work, we find no clear future trend of global wildfire emissions for
the moderate emissions and climate change scenario based on the
RCP 4.5. Only historical population
change introduces a decline by around 15 % since 1900. Future emissions
could either increase for low population growth and fast urbanisation, or
continue to decline for high population growth and slow urbanisation. Only
for high future climate change (RCP8.5), wildfire emissions start to rise
again after ca. 2020 but are unlikely to reach the levels of 1900 by the end
of the 21st century. We find that climate warming will generally increase the
risk of fire, but that this is only one of several equally important factors
driving future levels of wildfire emissions, which include population change,
CO<sub>2</sub> fertilisation causing woody thickening, increased productivity and
fuel load and faster litter turnover in a warmer climate. |
url |
http://www.biogeosciences.net/13/267/2016/bg-13-267-2016.pdf |
work_keys_str_mv |
AT wknorr climatecosub2subandhumanpopulationimpactsonglobalwildfireemissions AT ljiang climatecosub2subandhumanpopulationimpactsonglobalwildfireemissions AT aarneth climatecosub2subandhumanpopulationimpactsonglobalwildfireemissions |
_version_ |
1725405707091574784 |