Location map of the sites discussed in the text. The figure shows
the density track of winter storms according to ERA-Interim 1989–2009.
Numerical values (number of cyclones/deg) represent the average spatial
density of cyclone centers in the winter season. Only cyclones with a minimum
of 1-day duration and 5 hPa of depth with respect to the background are
included
[Figure omitted. See PDF]
Introduction
A major and much-discussed example of a potential global “megadrought” and
cooling during the Holocene occurred between ca. 4.2 and 3.9 ka cal BP
(the 4.2 ka event hereafter) . One of the
best-documented case studies of the occurrence of the 4.2 ka event in
the Mediterranean basin comes from the RL4 flowstone from the Renella Cave
. The molar ratio,
and organic matter florescence records obtained from RL4
flowstone calcite indicated a prominent reduction in cave recharge between
ca. 4.3 and 3.8 ka BP, corresponding to a pronounced drier period shown by the
record. This was somewhat surprising considering the
cave's geographic position. Renella Cave is located in a narrow valley
draining the western side of the Apuan Alps (Fig. 1), a mountain belt that
receives its precipitation from air masses of North Atlantic origin
that interact with the most important cyclogenesis
center of the Mediterranean region, the Gulf of Genoa (Fig. 1). The Gulf of
Genoa cyclogenesis is most active between November and February
, but is a persistent feature over the whole year
. To a large extent, its location is determined by local
topography, with the Alps (but also the Apuan Alps and Apennines, which bound
the eastern side of the Gulf of Genoa) playing a major role by trapping air
masses moving eastward and triggering Genoa cyclones . The
combination of these factors produces high precipitation amounts, locally
reaching values up to 3000 mm yr over
the Apuan Alps . Cyclogenesis in the Gulf of
Genoa seems to be further maintained by cold advection of air masses on the
western flank of the larger synoptic system towards the relatively warm
temperatures over the Mediterranean Sea. Numerical experiments indicate that
this is not a triggering factor, since Genoa cyclones are mainly
topographically induced. It may, however, be crucial for determining the
maximum intensity reached by the local low-pressure systems
Site description
The Apuan Alps comprise intensively karstified marbles and metadolostones
bounded by a Paleozoic basement mostly formed by phyllite, the latter
considered substantially impermeable . The cave has been
described in detail elsewhere
and only general information is reported here. The stalagmite object of this
study (stalagmite CC27) was collected from the “Galleria delle Stalattiti”
(GdS; Fig. 2), which is located ca. 400 m below the surface at ca.
840 m a.s.l. The chamber has a constant mean annual temperature of
8.4 C and receives a recharge of 2500–3000 mm yr over an
elevation range of ca. 1200–1400 m .
Drip waters in the chamber have a near-constant oxygen isotope composition
(a) Geological map of Mt. Corchia
[Figure omitted. See PDF]
CC27 depth–age model. The outer shaded zones define the 95 % uncertainties.
[Figure omitted. See PDF]
Material and methods
CC27 is a 20 cm tall stalagmite collected in situ in the lower part of the chamber (Fig. 2). It was sectioned and polished, then sampled at 200 m increments along the growth axis for stable isotope analysis using a micromilling machine. Except for the interval between 58.3 and 64.7 mm from the top (for which every sample was analyzed), every third sample was analyzed. Isotope ratios were measured using a GV Instruments GV2003 continuous-flow isotope-ratio mass spectrometer at the University of Newcastle, Australia, using the method fully described in . Briefly, samples of 0.7 to 0.8 mg were placed in septum-capped vials. The vials were purged with ultrahigh-purity helium (99.9995 %) and then orthophosphoric acid (105 %) added at a temperature of 70 C. All results are reported relative to the Vienna Pee Dee Belemnite (V-PDB) international scale. Sample results were normalized to this scale using an internal standard (NEW1: ‰, ‰) previously calibrated using the international standards NBS-18 and NBS-19. Analytical uncertainty for and was 0.09 ‰ and 0.05 ‰, respectively. Trace element analyses were carried out at the School of Earth Sciences, University of Melbourne, using a 193 nm ArF excimer laser-ablation system coupled to an Agilent 7700x quadrupole ICPMS. The Helex laser-ablation system is driven by the GeoStar software (Resonetics). Prior to trace element determination, the sample was twice pre-ablated to clean the surface using a circular spot of 260 m diameter at a scan speed of 500 m min and a laser pulse rate of 15 Hz. Element concentrations were measured from the pre-ablated surface using line scans parallel to the stalagmite growth axis. A main scan was obtained with a spot size of 55 m, a scan speed of 50 m s and a laser pulse rate of 10 Hz. To check for lateral data consistency two additional lower-resolution scans were performed 500 m apart and parallel to the main scan line. Quantification was carried out using the NIST SRM612 glass reference as an external standard. The standard was analyzed three times with the same spot size and a scan speed of 15 m s. Raw mass spectrometry data were reduced using Iolite software and data were internally normalized to . A total of 11 powder samples were taken for U–Th dating, which was performed at the University of Melbourne (Australia) by a Nu Instruments MultiCollector inductively coupled plasma–mass spectrometer (MC-ICP-MS) according to the analytical method described in detail by . The age model was derived in two steps following the method of . First, a Bayesian technique was used to constrain consecutive age determinations that had overlapping uncertainty intervals, then a Monte Carlo procedure was used to randomize all age determinations at each iteration according to their isotope ratio uncertainties. The procedure then finds the best-fit monotonic series through these randomized ages using uncertainty-weighted least squares. This is repeated some thousands of times, and the revised ages and uncertainties for each age determination are obtained from the resulting data set. Here we present the data concerning the top part (125 mm) of the CC27 stalagmite.
ages for the CC27 stalagmite.
Sample ID | Depth (mm) | Uncorrected age | Corrected age | 2 s | |||
---|---|---|---|---|---|---|---|
CC27 31,32,33 | 6.3 | 0.0162 | 0.6483 | 496.6459 | 2763 | 2761 | 70 |
CC27-118 | 23.5 | 0.0202 | 0.6507 | 2624.0705 | 3443 | 3450 | 53 |
CC27-220 | 43.7 | 0.0241 | 0.6517 | 2709.2452 | 4117 | 4124 | 35 |
CC27-284 | 56.7 | 0.0244 | 0.6538 | 188.9949 | 4178 | 4145 | 77 |
CC27-330 | 65.9 | 0.0273 | 0.6528 | 398.5427 | 4691 | 4674 | 39 |
CC27 437 | 87.3 | 0.0302 | 0.653 | 3637.0706 | 5172 | 5188 | 71 |
CC27-492 | 98.3 | 0.0312 | 0.6518 | 3175.7312 | 5372 | 5392 | 38 |
CC27 497 | 99.3 | 0.0306 | 0.6522 | 4077.6739 | 5255 | 5266 | 71 |
CC27-502-503 | 100.4 | 0.0309 | 0.653 | 11 788.6375 | 5324 | 5323 | 21 |
CC27-608 | 121.5 | 0.0337 | 0.6545 | 1613.9824 | 5788 | 5809 | 54 |
CC27-809 | 161.9 | 0.0415 | 0.6537 | 7342.5966 | 7177 | 7199 | 112 |
Corrected ages for the CC27 stalagmite.
Results
The corrected U–Th ages range from ka and ka (Table 1). Almost all ages are in stratigraphic order within the associated uncertainties, and only one age was rejected as an outlier. The calculated age–depth model ranges from 7.368 to 2.437 ka (Fig. 3). Stable isotope values (average ‰ and ‰ for carbon and oxygen, respectively) are plotted vs. age in Fig. 4; and show general covariant patterns, with higher values centered at ca. 5.9–5.7, 5.2–5.3, 4.5–4.1 and between ca. 2.8 and 2.7 ka BP. In the rest of the paper, we will focus on the 4.5–4.1 ka BP interval, which appears the most prominent and chronologically equivalent to the 4.2 ka event (Fig. 4). Figure 4 shows also the Mg, U, P and Y elemental concentrations plotted versus age. In Table 2, the Pearson correlation coefficients between different trace element pairs are reported. Isotope ratios and Mg are well correlated (Fig. 4), with most of the lower isotope values corresponding to lower Mg values and vice versa. U displays an opposite behavior, with a significant negative correlation with stable isotope values and Mg content (; Table 2). The P and Y concentrations show a general positive correlation (; Table 2) and are weakly, though significantly, positively correlated with U ( and for P and Y, respectively; Table 2) and negatively correlated with Mg ( and for P and Y, respectively; Table 2). Both P and Y show the lowest values between 4.5 and 4.1 ka BP as well (Fig. 4). All values are significant at .
Pearson correlation coefficients between elements calculated using 10-point running averages. All values are significant at .
P (ppm) | Y (ppm) | U (ppm) | |
---|---|---|---|
Mg (ppm) | |||
P (ppm) | – | 0.60 | 0.32 |
Y (ppm) | – | – | 0.29 |
Time series of CC27 isotopes and trace elements. From the bottom: , , Mg, U, Y, P. Thick lines are 5-point running averages. Above the time series of the combined mean anomalies (referred to as MA time series in the main text) of trace elements (green line), error is expressed in standard deviation units (light blue strip), and on top is the square wave of the index of filtered anomalies (referred to as FI time series in the main text). Green dots represent U–Th ages, horizontal bars errors. The yellow box represents the 4.2 ka interval as recorded by CC27 proxies.
[Figure omitted. See PDF]
Discussion
Speleothem stable isotopes composition
values of calcite () in the Apuan
speleothems have been mostly interpreted on the premise that the
in precipitation () in the western
Mediterranean is dominated by the “amount effect”; i.e., a positive shift
in values corresponds to a lower precipitation amount
and vice versa, with a gradient of ca. ‰ per 100 mm per month
of precipitation . On the other hand, the temperature effect
on precipitation
In the western Mediterranean, and in temperate settings more generally,
speleothem composition arises from the relative
contribution of -enriched derived from bedrock
dissolution and -depleted deriving from
biological activity in the soil
Trace elements
Trace element data supply a fundamental additional control in the
interpretation of secular variations in speleothem
composition
U concentrations in speleothems can be challenging to interpret. In
near-neutral pH cave drip waters, stable uranyl complexes
form with carbonate, phosphate and organics
. During rock alteration and
pedogenesis in oxidizing conditions, tetravalent U(IV) changes to hexavalent
U(VI), which is soluble in water . U concentration in water
may be influenced by changes in soil redox conditions. An increase in
microbial respiration would lead to reduced oxidation within the soil, and
this may cause less uranium to be oxidized to the hexavalent state and thus
lower uranium concentrations in the seepage water
. Soil and groundwater P
concentrations may also influence the transport of U through the strong
affinity between phosphate and uranyl ions . After
percolation through the karst network, U(VI) precipitates in calcite as
, probably as a replacement of . Experimental
studies on synthetic calcite show that the partition coefficient of U between
solution and solid varies between 0.06 and 1.43 , with no
significant relationship with growth and drip rates or temperature. To
disentangle the predominant environmental driver of U concentration in CC27,
a comparison with the other proxies is useful. Our time series shows only a
weak positive correlation between U and P (Table 2), suggesting that some of
the U may be bound to phosphate and organic colloids. This is supported by
, whose observations confirmed the possible control of
colloids on the transport of U isotopes in freshwaters. A strong negative
correlation between U and Mg is also observed (Table 2), whilst the general
pattern of U changes appears to be negatively correlated with both
and (Fig. 4), suggesting that
higher–lower U concentration is related to wetter–drier conditions. This can
suggest both a stronger leaching from rocks overlying GdS and hosting high U
contents
During the 4.2 ka period (Fig. 4), lower P and Y likely indicate reduced colloidal production in soil and/or lower infiltration and transport into the cave. This is indicative of reduced vegetation development and water infiltration due to a reduction in precipitation. The latter also causes a reduction in U content. These patterns are in agreement with the concomitant increase in Mg related to the occurrence of PCP and thus to drier conditions, as testified also by the increase in related to soil supply but also to degassing upstream of feeding drip.
Comparison among CC27, CC26 and Renella proxies. From bottom: CC27 , , CC26 , Renella , CC27 , CC26 , Renella . The yellow box represents the 4.2 ka BP interval as recorded by CC27 and Renella proxies. The Renella age model is adapted from Drysdale et al. (2019), and the age model is adapted from .
[Figure omitted. See PDF]
Therefore, the shifts observed in all trace elements (higher Mg, lower U, P
and Y) and in both stable isotope compositions (higher
and ) together define a period of reduced cave recharge
between 4.5 and 4.1 ka BP (Fig. 4). Assuming that the trace element behavior is
related to hydrological variations as discussed before, we can combine the
different individual trace element records to produce a composite mean
anomaly (MA) time series and filtered index (FI) series
. This approach detects coherent variability across
multiple speleothem properties, reducing the noise inherent in each series
and highlighting the environmental signal. To produce the MA, the individual
records were smoothed using a 10-point moving average, then normalized to
produce correspondent time series of anomalies (i.e., deviations from a zero
mean expressed in standard deviation units). Because the pattern of Mg is
reversed with respect to the other trace elements, the latter were multiplied
by . Standard scores of the individual series were then averaged for each
time increment to produce the MA wherein low (high) values correspond to
relatively wetter (drier) conditions (Fig. 4). The result reveals a prominent
drier interval in the MA between ca. 4.5 and 4.1 ka BP (Fig. 4). In order to
identify statistically significant events among these intervals, we then
calculated the standard deviation of these four scores for each time
increment. We thus set an upper (lower) threshold and such
that any data point that satisfies these conditions is deemed “significantly
dry” and “significantly wet” (respectively) relative to the mean state
over the period. This statistical approach identifies patterns of
simultaneous variations between different time series
and, in particular, highlights the drier period between 4.5 and 4.1 ka BP. This
period of drier conditions overlaps, within uncertainties, the drier phases
identified in the RL4 flowstone from Renella Cave
CC27 and trace element mean anomaly filtered index records compared with paleoclimate regional proxies. From bottom: (a) Calderone Glacier reactivation ; (b) CC27 ; (c) CC27 trace element mean anomaly filtered index; (d) chironomid midge assemblage temperature derived from Verdarolo Lake fossil ; (e) chironomid midge assemblage temperature derived from Gemini Lake fossil ; (f) Accesa Lake summer precipitation ; (g) Accesa Lake winter precipitation ; (h) Accesa Lake mean annual temperature ; (i) Accesa Lake mean annual precipitation ; (j) Gulf of Lions storm activity record ; (k) alkenone temperature record from Gulf of Lions ; (l) SST temperature record from Alboran Sea ; (m) SST alkenone temperature record from Alboran Sea ; (n) SST alkenone temperature record from MD04-2726 in the east Mediterranean ; (o) NAO index reconstruction ; (p) mean anomaly filtered index of the regional proxies as discussed in the main text.
[Figure omitted. See PDF]
Other evidence of environmental changes over the Apennine and central Italy
Environmental and climate change during the drier period identified over the
Apuan Alps between ca. 4.5 and ca. 3.8 ka BP (considering the whole range of
ages present at Corchia and Renella caves) was previously reported for
several sites on the Apennines and the surrounding coastal plains. In the
central Apennines, geomorphological evidence of cooling and the
reformation of Calderone Glacier were reported
, and this event is stratigraphically
constrained by the presence of Agnano Mt. Spina (ca. 4.4 ka cal BP) and
Avellino (ca. 3.8 ka cal BP) tephra layers
. This suggests a reduction of either
summer and/or winter temperature that may have caused a
prevalence of snow precipitation during winter, higher winter accumulation
and/or a reduced summer ablation. Cooler conditions during
summer are also supported by fossil chironomid assemblages in the nearby
northern Apennine Verdarolo and Gemini lakes
Regional comparison
Looking at the wider regional palaeoclimate, both and alkenone
sea-surface temperature (SST) data from the Alboran Sea (core ODP-976, SW
Mediterranean; Fig. 1) show a temperature decrease around 4 ka cal BP
To perform a statistical even if simple analysis for the abovementioned regional time series (i.e., all the time series in Fig. 6 except the CC27 data), we used the same approach used for CC27 proxies. We derived the value for each point of each curve with 20-year binning, calculated the MA and, on the detrended MA curve, computed the FI square-wave curve, setting an MA threshold of and . The obtained FI curve (Fig. 6) represents “climatic anomaly” time series irrespective of the specific meaning. It shows between ca. 4.5 and 4.2 ka BP a well-expressed “negative” FI value, which roughly implies that this interval is a tendentially cold, dry and stormy period, which is comparable with MA for CC27.
Synoptic atmospheric conditions
We have already discussed the fact that speleothems over the Apuan Alps show
consistent evidence of reduced cave recharge in a period ranging from ca. 4.5
to 3.8 ka BP. This implies a reduction of cyclones of Atlantic origin
and of secondary cyclogenesis over the Gulf of
Genoa, considering the relation between cyclogenesis and rainfall in the area
. A reduction in local cyclogenesis can
be associated with a decrease in the arrival of North Atlantic air masses to
the Gulf of Genoa and also reduced transit of North Atlantic cyclones
and the reduction of vapor advection from the
western Mediterranean, which acts as a moisture source for the central
Mediterranean . An important point to consider, however, is
that it is not just a reduction in the cyclones reaching the Apuan Alps but
also a reduction of precipitation associated with each single cyclone. Model
simulations show that projected Mediterranean precipitation reduction in
winter is strongly related to a decrease in the number of Mediterranean
cyclones, but local changes in precipitation generated by each cyclone are
also important . For the central Apennines, winter
precipitation is negatively correlated with the North Atlantic Oscillation
(NAO) index , with a negative NAO index associated
with elevated precipitation during winter months. This is due to the lower
pressure gradient between the Azores High and the Icelandic Low, which causes
a southward shift in westerly trajectories, leading to increased penetration
of moist air masses from the Atlantic to the Mediterranean and stimulating
local cyclogenesis. The Genoa GNIP station shows a significant negative
correlation between the amount of winter precipitation and the NAO index (). At the same station, a significant positive correlation is found
between and the NAO index ()
. This is in agreement with rainfall amount and
seasonality effects, as enhanced winter precipitation during NAO phases
should be characterized by lower values. In central
Europe, where the amount effect is negligible, a relatively strong positive
impact of the winter NAO index on precipitation has been
attributed to the higher frequency of cold easterly winds carrying
-depleted moisture during NAO negative phases compared to warmer
westerly winds, which carry -enriched moisture from the North
Atlantic Ocean and Mediterranean Sea into central Europe during positive NAO
winters . However, persistent penetration of easterly
moisture sources in the Gulf of Genoa is prevented by the Alpine ridge and
there is a more important contribution of the local recycling of vapor from
the Mediterranean Sea . Thus, the correlation observed at
the Genoa GNIP station suggests that during periods of reduced North Atlantic
moisture (i.e., NAO positive phase causing northward shift of storm-track
trajectories), precipitation from vapor of Mediterranean origin may dominate
locally. The higher values should be in response to the
effect of lower rainout of vapor masses and the
higher seawater isotopic composition of the Mediterranean compared to the
North Atlantic . From this point of view, the drier period
recorded in the Apuan speleothems can be related to persistent positive
NAO-like conditions, as invoked for some centennial- to multidecadal-scale
climatic changes over the western Mediterranean
Conclusions
The stable isotope and trace element composition of stalagmite CC27 from
Corchia Cave records reduced moisture in northern Tuscany between 4.5 and
4.1 ka BP. During this interval, increased and
values occur at a time when Mg concentrations increase
due to PCP, and Y and P concentrations decrease due to reduced infiltration,
vegetation activity and soil development in the cave recharge area. Each of
these changes is consistent with a shift to drier conditions. The decrease in
U concentration can also be ascribed to reduced moisture. This period is,
within age uncertainties, in agreement with trace element data from another
speleothem from the same chamber
Data are available upon reasonable request.
II, GZ, RND, ER and MB conceived the paper; II and GZ wrote the paper with contributions from RND, ER and MB; II, GZ, RND, PB, JCH, IB, JW and AG contributed to the analytical work; PL contributed to the discussion on climate conditions over the area, and all the coauthors contributed to the scientific discussion on the conclusion of this paper.
The authors declare that they have no conflict of interest.
This article is part of the special issue “The 4.2 ka BP climatic event”. It is a result of “The 4.2 ka BP Event: An International Workshop”, Pisa, Italy, 10–12 January 2018.
Acknowledgements
We would like to thank two anonymous reviewers for their comments on this paper and helpful suggestions for improvements. We thank the Federazione Speleologica Toscana and Parco Regionale delle Alpi Apuane for supporting our work on Apuane speleothems. The analytical work presented here has been funded by the Australian Research Council Discovery Project DP160102969 awarded to Russell N. Drysdale, Giovanni Zanchetta, Eleonora Regattieri and John C. Hellstrom, and it is part of the ARCA project “Arctic: present climatic change and past extreme events” funded by the Italian Ministry of Education, Universities and Research (MIUR) awarded to Ilaria Isola. Part of this study has been developed within the framework of the project “Climate and alluvial event in Versilia: integration of Geoarcheological, Geomorphological, Geochemical data and numerical simulations” awarded to MB and funded by the Fondazione Cassa di Risparmio di Lucca. It is also part of “PRA-2018-41 Georisorse e Ambiente” funded by the University of Pisa. Edited by: Harvey Weiss Reviewed by: two anonymous referees
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
© 2019. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Abstract
We present new data on the 4.2 ka event in the central Mediterranean from Corchia Cave (Tuscany, central Italy) stalagmite CC27. The stalagmite was analyzed for stable isotopes (
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details





1 Istituto Nazionale di Geofisica e Vulcanologia, Pisa, Italy
2 Istituto Nazionale di Geofisica e Vulcanologia, Pisa, Italy; Dipartimento di Scienze della Terra, University of Pisa, Pisa, Italy
3 School of Geography, University of Melbourne, Melbourne, Australia
4 Dipartimento di Scienze della Terra, University of Pisa, Pisa, Italy; School of Geography, University of Melbourne, Melbourne, Australia
5 School of Earth Sciences, University of Melbourne, Melbourne, Australia
6 Istituto di Geoscience e Georisorse-CNR, Pisa, Italy
7 Dipartimento Scienze e Tecnologie Biologiche e Ambientali, Università del Salento, Lecce, Italy