Arneth, A.; Mercado, L.
ORCID: https://orcid.org/0000-0003-4069-0838; Kattge, J.; Booth, B.B.B..
2012
Future challenges of representing land-processes in studies on land-atmosphere interactions.
Biogeosciences, 9 (9).
3587-3599.
10.5194/bg-9-3587-2012
Abstract
Over recent years, it has become increasingly apparent
that climate change and air pollution need to be considered
jointly for improved attribution and projections of
human-caused changes in the Earth system. Exchange processes
at the land surface come into play in this context, because
many compounds that either act as greenhouse gases,
as pollutant precursors, or both, have not only anthropogenic
but also terrestrial sources and sinks. And since the fluxes
of multiple gases and particulate matter between the terrestrial
biota and the atmosphere are directly or indirectly coupled
to vegetation and soil carbon, nutrient and water balances,
quantification of their geographic patterns or changes
over time requires due consideration of the underlying biological
processes. In this review we highlight a number of
critical aspects and recent progress in this respect, identifying
in particular a number of areas where studies have shown
that accounting for ecological process understanding can alter
global model projections of land-atmosphere interactions
substantially. Specifically, this concerns the improved quantification
of uncertainties and dynamic system responses, including
acclimation, and the incorporation of exchange processes
that so far have been missing from global models
even though they are proposed to be of relevance for our understanding
of terrestrial biota-climate feedbacks. Progress
has also been made regarding studies on the impacts of land
use/land cover change on climate change, but the absence of
a mechanistically based representation of human responseprocesses
in ecosystem models that are coupled to climate models limits our ability to analyse how climate change or
air pollution in turn might affect human land use. A more integrated
perspective is necessary and should become an active
area of research that bridges the socio-economic and biophysical
communities.
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