Abstract
Terrestrial vegetation influences climate by modifying the radiative-, momentum-, and
hydrologic-balance. This paper contributes to the ongoing debate on the question
whether positive biogeophysical feedbacks between vegetation and climate may lead
to multiple equilibria in vegetation and climate and consequent abrupt regime shifts.
Several modelling studies argue that vegetation-climate feedbacks at local to regional
scales could be strong enough to establish multiple states in the climate system. An
Earth Model of Intermediate Complexity, PlaSim, is used to investigate the resilience
of the climate system to vegetation disturbance at regional to global scales. We
hypothesize that by starting with two extreme initialisations of biomass, positive
vegetation-climate feedbacks will keep the vegetation-atmosphere system within
different attraction domains. Indeed, model integrations starting from different initial
biomass distributions diverged to clearly distinct climate-vegetation states in terms
of abiotic (precipitation and temperature) and biotic (biomass) variables. Moreover,
we found that between these states there are several other steady states which
depend on the scale of perturbation. From here global susceptibility maps were made
showing regions of low and high resilience. The model results suggest that mainly the
boreal and monsoon regions have low resiliences, i.e. instable biomass equilibria, with
positive vegetation-climate feedbacks in which the biomass induced by a perturbation
is further enforced. The perturbation did not only influence single vegetation-climate
cell interactions but also caused changes in spatial patterns of atmospheric circulation
due to neighbouring cells constituting in spatial vegetation-climate feedbacks. Large
perturbations could trigger an abrupt shift of the system towards another steady state.
Although the model setup used in our simulation is rather simple, our results stress that
the coupling of feedbacks at multiple scales in vegetation-climate models is essential
and urgent to understand the system dynamics for improved projections of ecosystem
responses to anthropogenic changes in climate forcing.
Original language | Undefined/Unknown |
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Pages (from-to) | 10983-11004 |
Number of pages | 22 |
Journal | Biogeosciences Discussions |
Volume | 6 |
Publication status | Published - 2009 |