such as "Introduction", "Conclusion"..etc
The goal of this paper is threefold. First we explore the
temporal variability of a record located in a sensitive re-
gion at the northern edge of the EAM using a multiproxy
approach. Second we explore the spatial variability of the
Chinese climate at 6 ka BP, when EAM is assumed to be the
strongest. Third we illustrate a new methodology of climate
reconstruction based on vegetation model inversion.
The temporal study is based on a core sampled in Lake
Bayanchagan (Inner Mongolia) (Jiang et al., 2006) (Fig. 1).
This region is particularly sensitive to climate variations as
it is located at the edge of the present EAM. Their results
suggest that this region was dominated by steppe vegeta-
tion throughout the Holocene, except for the period 9200
to 6700 yr BP, when forest patches were relatively common.
This period can then be correlated to enhanced EAM. But
these findings need to be confirmed by a multiproxy analysis.
We will synthesise in the first part of this paper an statistical
approach based, in addition to pollen, on isotopic data and
concentration of a green algae species (Jiang et al., 2008)
This study will focus on the timing of this enhanced EAM
This approach based on detailed time series in a sensitive
region will be completed by a spatial analysis based also on
pollen data but done with the newest tools involving a pro-
cess model able to relate vegetation and climatic variations
(Luo et al., 2008
). The strong feature of this approach is
to be able to take into account the large differences existing
between present and mid-Holocene conditions as (i) climate
seasonality, possibly resulting in lack of modern analogues,
or (ii) atmospheric CO
close to pre-industrial concentration
but significantly lower than the present one. This spatial anal-
ysis will be first replaced in the context of previously pub-
lished data syntheses at the sub-continental scale.
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