@InProceedings{DrükeBSWPCBT:2021:ClHyTr,
author = "Dr{\"u}ke, Markus and Bloh, Werner v. and Sakschewski, Boris and
Wunderling, Nico and Petri, Stefan and Cardoso, Manoel Ferreira
and Barbosa, Henrique and Thonicke, Kirsten",
affiliation = "{Potsdam Institute for Climate Impact Research} and {} and
{Potsdam Institute for Climate Impact Research} and {Potsdam
Institute for Climate Impact Research} and {Potsdam Institute for
Climate Impact Research} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Universidade de S{\~a}o Paulo (USP)} and
{Potsdam Institute for Climate Impact Research}",
title = "Climate-induced hysteresis of the tropical forest in the
fire-enabled Earth system model CM2Mc-LPJmL",
year = "2021",
organization = "EGU General Assembly",
publisher = "EGU",
abstract = "Tropical rainforests are recognized as one of the terrestrial
tipping elements which could have profound impacts on the global
climate, once their vegetation has transitioned into savanna or
grassland states. While several studies investigated the
savannization of, e.g., the Amazon rainforest, few studies
considered the influence of fire. Fire is expected to potentially
shift the savanna-forest boundary and hence impact the dynamical
equilibrium between these two possible vegetation states under
changing climate. To investigate the climate-induced hysteresis in
pan-tropical forests and the impact of fire under future climate
conditions, we coupled the well established and comprehensively
validated Dynamic Global Vegetation Model LPJmL5.0-FMS to the
coupled climate model CM2Mc, which is based on the atmosphere
model AM2 and the ocean model MOM5 (CM2Mc-LPJmL v1.0). In CM2Mc,
we replaced the simple land surface model LaD with LPJmL and fully
coupled the water and energy cycles. Exchanging LaD by LPJmL, and
therefore switching from a static and prescribed vegetation to a
dynamic vegetation, allows us to model important biosphere
processes, including wildfire, tree mortality, permafrost,
hydrological cycling, and the impacts of managed land (crop growth
and irrigation). With CM2Mc-LPJmL we conducted simulation
experiments where atmospheric CO2 concentrations increased from a
pre-industrial level up to 1280 ppm (impact phase) followed by a
recovery phase where CO2 concentrations reach pre-industrial
levels again. This experiment is performed with and without
allowing for wildfires. We find a hysteresis of the biomass and
vegetation cover in tropical forest systems, with a strong
regional heterogeneity. After biomass loss along increasing
atmospheric CO2 concentrations and accompanied mean surface
temperature increase of about 4°C (impact phase), the system does
not recover completely into its original state on its return path,
even though atmospheric CO2 concentrations return to their
original state. While not detecting large-scale tipping points,
our results show a climate-induced hysteresis in tropical forest
and lagged responses in forest recovery after the climate has
returned to its original state. Wildfires slightly widen the
climate-induced hysteresis in tropical forests and lead to a
lagged response in forest recovery by ca. 30 years.",
conference-location = "Online",
conference-year = "19-30 apr.",
doi = "10.5194/egusphere-egu21-8908",
url = "http://dx.doi.org/10.5194/egusphere-egu21-8908",
language = "en",
targetfile = "EGU21-8908-print.pdf",
urlaccessdate = "09 maio 2024"
}