01 Sep 2016-Quaternaire (Association francaise pour l'etude du quaternaire)-Vol. 27, Iss: 3, pp 211-219
TL;DR: In this paper, a combination of speleothem and tree ring proxies for a drought reconstruction of the last 640 years is presented, where the cellulose and source water δ18O are used to calculate the leaf water isotopic enrichment, as well as relative humidity, which is the dominant controlling factor of this enrichment.
Abstract: In palaeoclimate reconstructions, the combination of proxy records measured in different climate archives is challenging because of the uncertainties associated with each proxy, but it can also help reduce some of these uncertainties. Here, we present a novel approach to combine speleothem and tree ring proxies for a drought reconstruction of the last 640 years: a fluid inclusion δ18O record from a stalagmite from Villars Cave (southwest France) and a tree ring cellulose δ18O record of Quercus spp. from the nearby Angouleme area. The δ18O of the fluid inclusions is taken as an estimate of the δ18O of the trees’ source water. Then, the cellulose and source water δ18O are used to calculate the leaf water isotopic enrichment, as well as relative humidity, which is the dominant controlling factor of this enrichment. The reconstructed long-term trends in relative humidity differ from a previously published reconstruction of moisture variability based on the tree ring record alone. Further measurements will be necessary to support either reconstruction. Nevertheless, this investigation demonstrates the great potential for combining isotope proxies from speleothems and tree rings to reconstruct both the low- and high-frequency variability of drought.
The ever-increasing number of palaeoclimate proxy records deepens their understanding of climate variability in the past on different temporal and spatial scales (Masson-Delmotte et al., 2013).
Tree ring proxies can be well replicated and quantified by comparing them directly to meteorological variables from the year of ring formation.
Managave (2014) used a model to investigate to what extent the oxygen isotopic composition of tree ring cellulose and speleothem calcite can be correlated if they have the same source water.
2 - STUDY SITES AND DATA
The study sites Villars Cave and Angoulême are situated in the southwest of France at 50 km distance, in similar geological and climatological settings (fig. 1).
The bedrock in the region is a Jurassic limestone, and karstic features such as dolines, caves, and surface collapses characterize the landscape.
Long-term monitoring series of precipitation and cave drip water d18O demonstrated that drip water corresponds to a weighted mean of pluri-annual precipitation at this site, without any evaporative enrichment or seasonal bias due to plant transpiration (Genty et al., 2014).
3.1 - COMPARISON OF THE FLUID INCLUSION AND CELLULOSE RECORDS
For the comparison of fluid inclusions and cellulose, the d18O c time series was smoothed by a 25-year running mean.
This interval was chosen because it likely corresponds to the time period integrated in a fluid inclusion sample, as deduced from sample size, stalagmite growth rate and the infiltration time of the water from the surface to the cave (Labuhn et al., 2015).
Both time series were transformed to z-scores (i.e. the differences of each value and the mean value of the time series, divided by the standard deviation) to make their variations more comparable.
3.2 - CALCULATION OF LEAF WATER ENRICHMENT AND RELATIVE HUMIDITY
In order to calculate the leaf water isotopic composition and RH using the speleothem and tree ring isotope proxies, the authors suppose that the d18O fi represents the tree source water.
The d18O fi values were linearly interpolated in order to obtain a time series of annual resolution.
The resulting interpolated and smoothed fluid inclusion d18O values were supposed to be the source water d18O for the trees each year.
The cellulose d18O time series, which had been normalized to a mean of zero (as published in Labuhn et al., 2016), was adjusted to the mean d18O value of recent cellulose (31 ‰).
The square indicates the location of Villars Cave, where the stalagmite was sampled, the circle indicates the location of the tree ring chronology from Angoulême, and the triangle indicates the location of the meteorological station in Cognac.
1700, an increase from 1750 to present, and a marked peak around 1720 (fig. 2). However, there is also a period where the two series show opposing trends, between
Furthermore, even if the general increasing trend in the most recent period is apparent in both records, the large increase in the cellulose time series from 1750 to 1850 and the subsequent rapid decrease are not seen in the fluid inclusions.
The range of δ18O values in both the fluid inclusions and the smoothed cellulose δ18O time series is about 2 ‰ (not shown).
The underlying low-frequency component can be attributed to the variability of the source water (Labuhn et al., 2014).
The dating of the stalagmite is less precise than the dating of the tree rings.
The speleothem fluid inclusions represent the mean annual precipitation d18O, which is dominated by the d18O of winter precipitation because most precipitation falls during the winter months (Genty et al., 2014).
4.2 - CALCULATED LEAF WATER ENRICHMENT AND RELATIVE HUMIDITY
The assumption that d18O fi represents the tree source water is supported by the fact that, at Villars Cave, there is no seasonal bias in the isotopic composition of the drip water due to the transpiration of the vegetation (Genty et al., 2014).
The inter-annual variability of RH is well captured by the reconstruction, but average reconstructed RH values are too low (fig. 3).
It assumes the kinetic isotope fractionation as water diffuses through stomata and through the boundary layer (e k in eq. 2) to be constant; but e k varies with the boundary layer conditions, which in turn depend on wind speed (Dongman et al., 1974; Burk & Stuiver, 1981).
Furthermore, their calculation ignores the influence of a Péclet effect, which leads to a leaf water that is less enriched than predicted by the equations.
4.3 - DROUGHT RECONSTRUCTION WITH AND
The observed summer drought index SPEI (JJA) and summer RH (JJA) are highly correlated during the period of observations (1961-2011) and are comparable to represent summer moisture conditions in the study area (fig. 4).
The two reconstructions give a different picture of the long-term moisture changes in the past (fig. 5).
The model for the tree-ring based drought reconstruction is well-verified with independent data, and correlations between the proxy and the reconstructed drought index are highly significant and stable throughout the 20th century, all of which gives strong indications for the validity of this reconstruction (Labuhn et al., 2016).
The RH reconstruction supposedly captures better the low frequency.
5 - CONCLUDING REMARKS
These investigations demonstrate the great potential in combining oxygen isotope ratios in speleothem fluid inclusions and tree ring cellulose to reconstruct moisture conditions, and the theoretical approach is established here.
The combination of proxies might provide an estimate of past droughts that comprises both the low- and high-frequency variability, combining the strengths of the two climate archives while compensating their weaknesses when used alone.
Further investigation will be necessary to better understand the differences between this multi-proxy reconstruction and the reconstruction based only on tree rings.
These might provide additional oxygen isotope data from speleothem fluid inclusions and tree ring cellulose, which can be used to reconstruct drought patterns in the past and to test the validity of the approach demonstrated in this study.
Department of Geology, Lund University, Sölvegatan 12, SE-223 62 LUND. Email: inga.labuhn@geol.lu.se
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Tree ring proxies can be well replicated and quantified
by comparing them directly to meteorological variables
from the year of ring formation. Their calibration is based
on the statistical relationships with climate (e.g. Fritts &
Guiot, 1990). Models for climate reconstruction based
on these relationships can be verified using independent
meteorological data, i.e. data that have not been used in
the calibration, and the variance explained by the model
can be quantified (e.g. Briffa et al.,1992). However, tree
ring proxies may be biased towards climate conditions
of the time of year that has the strongest influence on
tree growth. Tree-ring reconstructed changes in summer
climate, for example, might not be representative of
the evolution of the annual climate (Jones et al.,2003).
Furthermore, tree rings, in particular tree ring widths, are
limited for reconstructing low-frequency climate varia-
bility because of the standardization process and the
limited length of individual tree series (Cook et al.,1995;
Esper et al.,2004; Moberg et al.,2005).
Speleothems have the potential to provide a low-
frequency signal. However, their dating is less precise
compared to the trees. Despite the high analytical preci-
sion that is now achieved for U-Th dating (Hoffmann et
al.,2009; Cheng et al.,2013), and the possibility to count
annual growth layers in some speleothem samples (Genty
& Quinif, 1996; Tan et al.,2006; Baker et al.,2008; Shen
et al.,2013), slight changes in the growth rate or short
hiatuses increase the error in the chronology, making it
difficult to compare a stalagmite record to instrumental
data or to high-resolution proxy data from tree rings.
While adequate samples, which have a high growth rate
and a precisely dated lamination, enable a direct calibra-
tion by comparison with meteorological data (Genty &
Quinif, 1996; Proctor et al.,2000), in many cases the
calibration of speleothem proxies relies on an under-
standing of the cave processes, based on monitoring data,
laboratory experiments, and modeling exercises (Spötl et
al.,2005; Genty, 2008; Tremaine et al.,2011; Wacker-
barth et al.,2012; Treble et al.,2013). Lastly, an envi-
ronmental signal can be lagged and/or attenuated before
it is transmitted to the cave interior (Fairchild & Baker,
2012), whereas tree ring proxies often reflect the envi-
ronmental signal more directly, i.e. during the current
growing season.
Few previous studies have attempted to directly
compare tree rings and speleothems. Berkelhammer et
al.(2014) and Trouet et al.(2009) used tree ring and
speleothem proxy records from remote regions to study
teleconnections and atmospheric circulation indices.
Betancourt et al.(2002) compared annual band widths
in tree rings and a stalagmite from the same site and
found no correspondence, but their approach has been
criticized because even if the banding in both archives is
annual, the band width in each proxy might not depend
on the same influences (Baker & Genty 2003). However,
when tree ring and speleothem proxies from the same
region respond to the same dominant factors, e.g.
droughts, they can show similar patterns (Sinha et al.,
2011; Wassenburg et al.,2013). Managave (2014) used
a model to investigate to what extent the oxygen isotopic
composition of tree ring cellulose and speleothem calcite
can be correlated if they have the same source water. The
author determined that a correspondence between these
proxies is likely when the variation in the d
18
O of preci-
pitation is high compared to the variation induced by the
influences on each single proxy, i.e. the cave tempera-
ture and equilibrium conditions during precipitation for
calcite d
18
O, and relative humidity, leaf temperature and
the isotopic composition of atmospheric water vapor for
cellulose d
18
O.
This article explores the potentials and limits of a
multi-proxy climate reconstruction based on speleothem
and tree ring proxy records from the southwest of
France, a region characterized by recurrent drought
periods that might prove to be particularly vulnerable to
the consequences of global warming (Moisselin et al
.,
2002; Itier 2008; Lemaire et al.,2010; Levrault et al.,
2010). Identifying the patterns of moisture variability in
the past may help evaluate the possible future extent of
droughts in a changing climate. Both archives have in
common that we can measure oxygen isotope ratios in
their components: in cellulose from the wood of tree rings
(d
18
O
c
), and in water that is incorporated in speleothem
calcite, the so-called fluid inclusions (d
18
O
fi
). Here, we
combine a d
18
O
fi
record from a speleothem from Villars
Cave (Labuhn et al., 2015) and a d
18
O
c
chronology from
the nearby Angoulême (Labuhn et al., 2016) in order to
reconstruct both low and high frequency drought variabi-
lity during the last 640 years. The oxygen in both proxies
originates from the precipitation feeding the soil water
reservoir, which subsequently infiltrates into the cave, or
is tapped by the trees. We therefore hypothesize that it
is possible to use the d
18
O
fi
as an independent estimate
of the source water d
18
O for the trees. In a first step, we
investigate the co-variation of the fluid inclusion and the
cellulose d
18
O time series. In a second step, we assume
that the d
18
O
fi
represents the d
18
O of the tree source water,
and, using d
18
O
c
and d
18
O
fi
, we calculate the isotopic
enrichment of the leaf water above the source water, as
well as relative humidity (RH), which is the dominant
controlling factor of this enrichment. Lastly, we compare
this reconstruction of relative humidity with a previous
drought reconstruction based only on tree rings (Labuhn
et al., 2016).
2 - STUDY SITES AND DATA
The study sites Villars Cave and Angoulême are
situated in the southwest of France at 50km distance,
in similar geological and climatological settings (fig. 1).
As both are located at approximately the same altitude
(100-175 m a.s.l.) and distance from the coast (~150 km),
and no important relief separates them, they experience
similar variations in temperature, moisture conditions
(Météo-France, 2009), and in the isotopic composition
of precipitation (Millot et al.,2010). The bedrock in the
region is a Jurassic limestone, and karstic features such
as dolines, caves, and surface collapses characterize the
landscape.
1606-091-Mep3-2016.indd 24022/09/16 14:54
241
The crossdated, annually resolved chronology of tree
ring cellulose d
18
O from Angoulême (45°44’N, 0°18’E)
has been constructed using living trees and building
timbers of oak (Quercus spp.), and covers the period
from 1360 to 2004 (Labuhn et al.,2014; 2016). Inter-
annual variations in d
18
O
c
at this site are dominated by
the atmospheric conditions that influence leaf water
enrichment (Labuhn et al.,2014), but the underlying
low-frequency variability are likely linked to variations
in the source water d
18
O.
The fluid inclusion d
18
O measurements were acquired
from a stalagmite from Villars Cave (45°26’N, 0°47’E;
Labuhn et al.,2015). The record covers the last
2,300 years, and the fluid inclusion samples have a reso-
lution of approximately 25years. The stalagmite was
dated by the U-Th and
14
C methods, as well as by laminae
counting. Long-term monitoring series of precipitation
and cave drip water d
18
O demonstrated that drip water
corresponds to a weighted mean of pluri-annual preci-
pitation at this site, without any evaporative enrichment
or seasonal bias due to plant transpiration (Genty et al.,
2014). An investigation of corresponding modern fluid
inclusion samples indicated that the isotopic composition
of the infiltrating water was preserved in the fluid inclu-
sions (Labuhn et al., 2015).
Monthly relative humidity (RH) data was obtained
from Météo-France for Cognac (1961-2012, station
no.16089001), which is the longest available RH
record from the study area. The standardized precipi-
tation evapotranspiration index (SPEI; Beguería et al.,
2010; Vicente-Serrano et al.,2010) was obtained from
http://sac.csic.es/spei/database.html, and the time
series for the Angoulême grid cell (1901-2011) was
extracted.
3 - METHODOLOGY
3.1 - COMPARISON OF THE FLUID INCLUSION
AND CELLULOSE RECORDS
For the comparison of fluid inclusions and cellulose,
the d
18
O
c
time series was smoothed by a 25-year running
mean. This interval was chosen because it likely corres-
ponds to the time period integrated in a fluid inclusion
sample, as deduced from sample size, stalagmite growth
rate and the infiltration time of the water from the surface
to the cave (Labuhn et al., 2015). Both time series were
transformed to z-scores (i.e. the differences of each value
and the mean value of the time series, divided by the
standard deviation) to make their variations more compa-
rable.
3.2 - CALCULATION OF LEAF WATER ENRICH-
MENT AND RELATIVE HUMIDITY
In order to calculate the leaf water isotopic composi-
tion and RH using the speleothem and tree ring isotope
proxies, we suppose that the d
18
O
fi
represents the tree
source water. The d
18
O
fi
values were linearly interpo-
lated in order to obtain a time series of annual resolu-
tion. Then, this time series was smoothed using a 25-year
running mean. The resulting interpolated and smoothed
fluid inclusion d
18
O values were supposed to be the
source water d
18
O for the trees each year. The cellulose
d
18
O time series, which had been normalized to a mean of
zero (as published in Labuhn et al., 2016), was adjusted
to the mean d
18
O value of recent cellulose (31 ‰).
The oxygen isotopic composition of cellulose can
be related to the isotopic composition of source water
Fig.1: Study site locations.
The square indicates the location of Villars Cave, where the stalagmite was sampled, the circle indicates the location of the tree ring chronology from
Angoulême, and the triangle indicates the location of the meteorological station in Cognac.
Fig. 1 : Localisation des sites d’étude. Le carré indique la localisation de la grotte de Villars, le cercle indique la localisation de la chronologie des
cernes d’arbre à Angoulême, et le triangle indique la localisation de la station météorologique de Cognac.
1606-091-Mep3-2016.indd 24122/09/16 14:54
242
(δ
18
O
sw
) and leaf water (δ
18
O
lw
) (Sternberg et al.,1986;
Yakir & DeNiro, 1990):
δ
18
O
c
= 0.42 x (δ
18
O
sw
+ e
wc
) + 0.58 x (δ
18
O
lw
+ e
wc
)
(Eq. 1)
where e
wc
, the fractionation factor between water and
carbonyl oxygen, is approximately equal to 27 ‰. Thus,
using our δ
18
O
c
record and the interpolated fluid inclusion
time series as an estimate of δ
18
O
sw
, we can calculate δ
18
O
lw
.
The δ
18
O
lw
is related to relative humidity (RH) as
follows (Dongman et al.,1974):
δ
18
O
lw
= δ
18
O
sw
x (1 – RH) + δ
18
O
v
x RH + e*+ e
k
x (1 - RH)
(Eq. 2)
where δ
18
O
v
is the oxygen isotopic composition of
atmospheric water vapor, and e* and e
k
are the equili-
brium and kinetic fractionation factors. At 20°C, e* is
equal to 9.7 ‰ (Horita & Wesolowski, 1994); e
k
is equal
to 16 ‰ / 21 ‰ / 32 ‰ for turbulent/laminar/static boun-
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