Abstract. Changes in forest cover have a strong effect on climate through the
alteration of surface biogeophysical and biogeochemical properties that
affect energy, water and carbon exchange with the atmosphere. To quantify
biogeophysical and biogeochemical effects of deforestation in a consistent
setup, nine Earth system models (ESMs) carried out an idealized experiment in the
framework of the Coupled Model Intercomparison Project, phase 6 (CMIP6).
Starting from their pre-industrial state, models linearly replace 20×106 km2 of forest area in densely forested regions with grasslands over a
period of 50 years followed by a stabilization period of 30 years. Most of
the deforested area is in the tropics, with a secondary peak in the boreal
region. The effect on global annual near-surface temperature ranges from no
significant change to a cooling by 0.55 ∘C, with a multi-model
mean of -0.22±0.21 ∘C. Five models simulate a temperature
increase over deforested land in the tropics and a cooling over deforested
boreal land. In these models, the latitude at which the temperature response
changes sign ranges from 11 to 43∘ N, with a multi-model mean of
23∘ N. A multi-ensemble analysis reveals that the detection of
near-surface temperature changes even under such a strong deforestation
scenario may take decades and thus longer than current policy horizons. The
observed changes emerge first in the centre of deforestation in tropical
regions and propagate edges, indicating the influence of non-local effects.
The biogeochemical effect of deforestation are land carbon losses of
259±80 PgC that emerge already within the first decade. Based on the
transient climate response to cumulative emissions (TCRE) this would yield a
warming by 0.46 ± 0.22 ∘C, suggesting a net warming effect of
deforestation. Lastly, this study introduces the “forest sensitivity” (as a
measure of climate or carbon change per fraction or area of deforestation),
which has the potential to provide lookup tables for deforestation–climate
emulators in the absence of strong non-local climate feedbacks. While there
is general agreement across models in their response to deforestation in
terms of change in global temperatures and land carbon pools, the underlying
changes in energy and carbon fluxes diverge substantially across models and
geographical regions. Future analyses of the global deforestation
experiments could further explore the effect on changes in seasonality of
the climate response as well as large-scale circulation changes to advance
our understanding and quantification of deforestation effects in the ESM
frameworks.