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Climate of the Past An interactive open-access journal of the European Geosciences Union
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CP | Articles | Volume 15, issue 1
Clim. Past, 15, 135-151, 2019
https://doi.org/10.5194/cp-15-135-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue: The 4.2 ka BP climatic event

Clim. Past, 15, 135-151, 2019
https://doi.org/10.5194/cp-15-135-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 22 Jan 2019

Research article | 22 Jan 2019

The 4.2 ka event in the central Mediterranean: new data from a Corchia speleothem (Apuan Alps, central Italy)

The 4.2ka event in the central Mediterranean
Ilaria Isola1, Giovanni Zanchetta1,2, Russell N. Drysdale3, Eleonora Regattieri2,3, Monica Bini1,2, Petra Bajo4, John C. Hellstrom4, Ilaria Baneschi5, Piero Lionello6, Jon Woodhead4, and Alan Greig4 Ilaria Isola et al.
  • 1Istituto Nazionale di Geofisica e Vulcanologia, Pisa, Italy
  • 2Dipartimento di Scienze della Terra, University of Pisa, Pisa, Italy
  • 3School of Geography, University of Melbourne, Melbourne, Australia
  • 4School of Earth Sciences, University of Melbourne, Melbourne, Australia
  • 5Istituto di Geoscience e Georisorse-CNR, Pisa, Italy
  • 6Dipartimento Scienze e Tecnologie Biologiche e Ambientali, Università del Salento, Lecce, Italy
Abstract
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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 (δ13C and δ18O) and trace elements (Mg, U, P, Y), with all proxies showing a coherent phase of reduced cave recharge between ca. 4.5 and 4.1 ka BP. Based on the current climatological data on cyclogenesis, the reduction in cave recharge is considered to be associated with the weakening of the cyclone center located in the Gulf of Genoa in response to reduced advection of air masses from the Atlantic during winter. These conditions, which closely resemble a positive North Atlantic Oscillation (NAO) type of configuration, are associated with cooler and wetter summers with reduced sea warming, which reduced the western Mediterranean evaporation during autumn–early winter, further reducing precipitation.

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Figure 1Location 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/deg2) represent the average spatial density of cyclone centers in the winter season. Only cyclones with a minimum of 1-day duration and 5hPa of depth with respect to the background are included (Lionello et al.2012).

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1 Introduction
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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) (Weiss2015, 2016). 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 (Drysdale et al.2006; Zanchetta et al.2016). The Mg∕Ca molar ratio, δ13C 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 δ18O 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 (Reale and Lionello2013) 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 (Trigo et al.2002), but is a persistent feature over the whole year (Lionello et al.2006). 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 (Trigo et al.2002). The combination of these factors produces high precipitation amounts, locally reaching values up to 3000 mm yr−1 over the Apuan Alps (Rapetti and Vittorini1994). 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 (McGinley and Zupanski1990; Trigo et al.2002). The finding of a reduction of cave recharge over Renella Cave at the time of the 4.2 ka event implies a substantial reduction in the advection of moisture from the North Atlantic and the cyclogenesis over the area, despite the fundamental orographic role exerted by the Apuan Alps. In this paper, we further explore the 4.2 ka event in the Apuan Region, presenting new data (stable isotope, trace elements, Mg, P, Y and U) from a Corchia Cave speleothem. Corchia Cave is located at a higher altitude compared to Renella Cave and it is characterized by a deeper and more complex plumbing system (Drysdale et al.2004, 2006; Piccini et al.2008; Zanchetta et al.2007, 2014).

2 Site description
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The Apuan Alps comprise intensively karstified marbles and metadolostones bounded by a Paleozoic basement mostly formed by phyllite, the latter considered substantially impermeable (Ciarapica and Passeri1994). The cave has been described in detail elsewhere (Baneschi et al.2011; Drysdale et al.2004; Piccini et al.2008) 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−1 over an elevation range of ca. 1200–1400 m (Drysdale et al.2004; Piccini et al.2008). Drip waters in the chamber have a near-constant oxygen isotope composition (Baneschi et al.2011; Piccini et al.2008), which is consistent with predicted averaged δ18O values of rainfall at this estimated recharge elevation range (Drysdale et al.2004; Mussi et al.1998). The carbon isotope composition (δ13C) of dissolved inorganic carbon (DIC) is similarly constant (Baneschi et al.2011) and reflects the low contribution of biogenic CO2 due to the thin vegetation cover, the long interaction with the marble bedrock and, possibly, shifts between closed- vs. open-system conditions and sulfuric acid dissolution (Bajo et al.2017). Several drips and pool waters analyzed in the GdS show very constant values for pH, ion concentrations and isotopic composition, suggesting well-mixed waters and a stable, deep plumbing system (Baneschi et al.2011).

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Figure 2(a) Geological map of Mt. Corchia (Piccini et al.2008); (b) cross profile; (c) longitudinal section of the CC27 stalagmite.

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Figure 3CC27 depth–age model. The outer shaded zones define the 95 % uncertainties.

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3 Material and methods
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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 µm 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 Tzedakis et al. (2018). 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: δ18O=-2.46 ‰, δ13C=2.40 ‰) previously calibrated using the international standards NBS-18 and NBS-19. Analytical uncertainty for δ18O and δ13C 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 (Woodhead et al.2007) 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 µm diameter at a scan speed of 500 µm min−1 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 µm, a scan speed of 50 µm s−1 and a laser pulse rate of 10 Hz. To check for lateral data consistency two additional lower-resolution scans were performed 500 µm 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 µm s−1. Raw mass spectrometry data were reduced using Iolite software (Hellstrom et al.2008) and data were internally normalized to 43Ca. 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 Hellstrom (2003). The age model was derived in two steps following the method of Hellstrom (2003). 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.

Table 1U∕Th ages for the CC27 stalagmite.

Corrected U∕Th ages for the CC27 stalagmite.

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4 Results
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The corrected U–Th ages range from 2.67±0.70 ka and 7.199±0.11 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 -1.2±0.30 ‰ and -5.0±0.19 ‰ for carbon and oxygen, respectively) are plotted vs. age in Fig. 4; δ13C and δ18O 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 r 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 (r=-0.85; Table 2). The P and Y concentrations show a general positive correlation (r=0.60; Table 2) and are weakly, though significantly, positively correlated with U (r=0.32 and r=0.29 for P and Y, respectively; Table 2) and negatively correlated with Mg (r=-0.39 and −0.33 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 P<0.05.

Table 2Pearson correlation coefficients r between elements calculated using 10-point running averages. All values are significant at P<0.05.

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Figure 4Time series of CC27 isotopes and trace elements. From the bottom: δ18O, δ13C, 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 2σ errors. The yellow box represents the 4.2 ka interval as recorded by CC27 proxies.

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5 Discussion
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5.1 Speleothem stable isotopes composition

δ18O values of calcite (δ18Oc) in the Apuan speleothems have been mostly interpreted on the premise that the δ18O in precipitation (δ18Op) in the western Mediterranean is dominated by the “amount effect”; i.e., a positive shift in δ18Op values corresponds to a lower precipitation amount and vice versa, with a gradient of ca. −2 ‰ per 100 mm per month of precipitation (Bard et al.2002). On the other hand, the temperature effect on precipitation (Bard et al.2002) is almost equal but opposite in sign to the effect of a change in temperature on water–calcite isotopic fractionation (Kim and O'Neil1997). Thus, as a first-order interpretation, higher δ18Oc values are considered to indicate a shift towards drier conditions, while lower values are associated with more humid periods (Drysdale et al.2004; Regattieri et al.2014a; Zanchetta et al.2007). This “paradigm” holds for central and eastern Mediterranean speleothems (Bar-Matthews et al.2003; Finné et al.2017; Regattieri et al.2018) and is also utilized for interpreting lacustrine marls, land snail shells and pedogenic carbonates in the region (Boretto et al.2017; Colonese et al.2007, 2014; Regattieri et al.2015, 2017; Zanchetta et al.2007, 2017). However, this picture can be complicated by changes in the seasonality of rainfall distribution. For instance, Longinelli et al. (2006) observed that years with an anomalous reduction of precipitation from spring to late autumn may have annual average isotopic values lower than expected, adding weight to the prevailing winter signal (Dansgaard1964). This anomaly can be transferred to continental carbonates (Regattieri et al.2015), and especially to Corchia speleothems, because cave recharge is mostly related to autumn–winter precipitation (Piccini et al.2008). It has also been noted that changes in the isotopic composition of the source of vapor (Atlantic Ocean vs. Mediterranean Sea and changes in isotopic composition of the source) may have an additional effect (Bar-Matthews et al.2000; Marino et al.2015; Rohling et al.2015). Despite these potential uncertainties, the interval with higher δ18O values at 4.5–4.1 ka BP should primarily indicate a reduction in cave recharge induced by a decrease in local precipitation, most probably related to winter, i.e., the season of maximum cave recharge (Piccini et al.2008). This may also indicate a change in the proportion of cave recharge between the cold (autumn–winter) and the warm (spring–summer) half of the year.

In the western Mediterranean, and in temperate settings more generally, speleothem δ13C composition arises from the relative contribution of 13C-enriched CO2 derived from bedrock dissolution and 13C-depleted CO2 deriving from biological activity in the soil (Fairchild and Baker2012; Genty et al.2001). Higher soil CO2 production occurs under wetter and warmer conditions, and thus δ13C values usually show a general negative correlation with the amount of rainfall, similar to the relationship already discussed for oxygen. Therefore, the concomitant increase in δ13C between 4.5 and 4.1 ka BP corroborates the reduction in cave recharge associated with lower biological activity in the soil in the catchment, increasing residence time in the aquifer and increasing the dissolution of bedrock, including by sulfide dissolution (Bajo et al.2016).

5.2 Trace elements

Trace element data supply a fundamental additional control in the interpretation of secular variations in speleothem δ18O composition (Fairchild and Treble2009; Griffiths et al.2010), which can complement and improve our partial knowledge on the long-term processes that drive the evolution of the oxygen isotopic composition of meteoric precipitation. Mg is generally transported to the speleothem in solution and, according to Fairchild et al. (2000), Mg∕Ca changes in drip waters are due to four different factors, which may act concomitantly in Mg-rich dolomite bedrock (Fairchild and Treble2009; Regattieri et al.2014b), as in the case of Corchia Cave. First, due to the rate of dolomite dissolution being slower than that of calcite (Fairchild and Treble2009), a longer water–rock interaction time would cause higher Mg concentrations in the drips. Second, prior calcite precipitation (PCP) may be important. This involves calcite precipitation in dewatered fractures along the flow path, upstream of the speleothem. Air present in fractures encourages CO2 degassing, calcite deposition and, indirectly, the enrichment of Mg∕Ca in the solution. This is because the partition coefficient of Mg is less than 1 (Morse and Bender1990). The occurrence of PCP is further highlighted by a positive covariance between Mg and δ13C because CO2 degassing causes 13C enrichment in the solution and then in the speleothem calcite (Baker et al.1997). Third, incongruent dolomite dissolution is plausible given the extensive presence of dolomite beds. Finally, there is the possibility of the selective leaching of Mg (Sinclair2011). The cumulative effect of these processes is an overall increase in Mg content in speleothem calcite during periods of lower cave recharge (Fairchild et al.2006; Hellstrom and McCulloch2000; McDonald et al.2007; Regattieri et al.2014b). P and Y are mostly transported as detrital phases (Borsato et al.2007; Fairchild and Treble2009), which are a mixture of mineral particulate and organic colloids produced by the weathering of bedrock and leaching of soil (respectively), and deposited as microscopic particles concentrated in individual layers of calcite (Frisia et al.2000) or as macroscopically visible clastic-rich layers, especially transported during flood events (Zhornyak et al.2011). Entrainment of detrital phases in a very deep environment like GdS in Corchia is unlikely, as supported by the very pure calcite of the GdS speleothems (see low values in 232Th∕230Th ratio; Table 1). For this reason, in our case the transportation of organic colloids is more likely. Studies of temperate ecosystems indicate that both P and Y in cave drip waters are principally bound to soil organic colloids and are indicative of infiltration rates, vegetation decomposition rates and soil development (Borsato et al.2007; Treble et al.2003). Thus, higher P and Y concentrations can be related to higher water infiltration rates and more developed soil and vegetation (i.e., warmer and wetter conditions), whereas lower values are indicative of lower infiltration and less vegetation and soil productivity (Borsato et al.2007; Fairchild and Treble2009; Regattieri et al.2016).

U concentrations in speleothems can be challenging to interpret. In near-neutral pH cave drip waters, stable uranyl UO22+ complexes form with carbonate, phosphate and organics (Osmond and Ivanovich1992; Treble et al.2003). During rock alteration and pedogenesis in oxidizing conditions, tetravalent U(IV) changes to hexavalent U(VI), which is soluble in water (Ortega et al.2005). 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 (Hellstrom and McCulloch2000; Osmond1980). Soil and groundwater P concentrations may also influence the transport of U through the strong affinity between phosphate and uranyl ions (Treble et al.2003). After percolation through the karst network, U(VI) precipitates in calcite as UO22+, probably as a replacement of Ca2+. Experimental studies on synthetic calcite show that the partition coefficient of U between solution and solid varies between 0.06 and 1.43 (Day and Henderson2013), 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 Riotte et al. (2003), 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 δ13C and δ18O (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 (Piccini et al.2008) or a partition coefficient for U in GdS water >1; in this case changes in the U concentration of CC27 could be related to the degree of PCP, as for Mg but in an opposite fashion. Overall, the most simple mechanism to control the U∕Ca ratio would be the cave recharge and consequently leaching mechanism. Variations in soil redox conditions are likely to be negligible due to the thick bedrock cover over GdS. Indeed, the increase in soil biological activity, responsible for less oxidizing conditions and greater colloidal transport, would have been favored by wetter and warmer conditions, thus affecting U concentrations.

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 δ13C related to soil CO2 supply but also to CO2 degassing upstream of feeding drip.

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Figure 5Comparison among CC27, CC26 and Renella proxies. From bottom: CC27 δ13C, δ18O, CC26 δ18O, Renella δ18O, CC27 Mg∕Ca, CC26 Mg∕Ca, Renella Mg∕Ca. The yellow box represents the 4.2 ka BP interval as recorded by CC27 and Renella proxies. The Renella δ18O age model is adapted from Drysdale et al. (2019), and the Mg∕Ca age model is adapted from Drysdale et al. (2006).

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Therefore, the shifts observed in all trace elements (higher Mg, lower U, P and Y) and in both stable isotope compositions (higher δ13C and δ18O) 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 (Regattieri et al.2014b). 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 −1. 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 MA>(<)MAaverage+(-)SDaverage 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 (Regattieri et al.2014b) 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 (Drysdale et al.2006; Zanchetta et al.2016). Figure 5 also shows the comparison between the CC27 multi-proxy record and that of CC26, a previously studied speleothem from the same chamber (Bajo et al.2016; Regattieri et al.2014b, 2017; Tognarelli et al.2018; Zanchetta et al.2007). Interestingly, the prominent shift in the δ18Oc of CC27 is not apparent in the CC26 δ18Oc record. However, during the 4.2 period, CC26 shows a pronounced increase in the Mg∕Ca ratio (Regattieri et al.2014b), consistent with Mg (and other trace elements) variation measured in the CC27 record (Fig. 5). The difference between the CC26 and CC27 δ18Oc records deserves further comment. For deep, large caves like Corchia, the complexity of the recharging system leads to the presence of different reservoir compartments characterized by different infiltration points and by different hydrological routings. In addition, GdS has the peculiarity to receive drip recharge from lateral paths because the chamber is overlain by the impermeable phyllitic basement (Piccini et al.2008). This increases the drip-path complexity. Different paths and mixing of water may create small differences in the geochemistry of different drip points (Fairchild and Treble2009), though located in close proximity (i.e., in the same cave chamber). In addition, the steep slopes of Mt. Corchia can produce important changes in the mean altitudes of infiltration for different drips (up to several hundred meters over a relatively short distance), inducing the “altitude isotope effect” (Dansgaard1964). Mussi et al. (1998) derived an altitudinal effect of ca. −0.15‰ 100 m for the western Apuan slopes, which is significant considering the minor isotopic changes recorded in this cave during the Holocene (Zanchetta et al.2007). Differences in the long-term isotopic records of different speleothems from the same chambers may be related to long-term drip-path evolution and, particularly, to changes in the mean altitude of recharge and/or to mixing of different reservoir compartments having different recharge areas. Another mechanism that can explain the different δ18O trends is the precipitation of calcite out of isotopic equilibrium conditions. Indeed, kinetic fractionation causes unpredictable isotopic enrichment (Mickler et al.2006). However, this is unlikely for both CC26 and CC27, as they are both composed of monotonous columnar calcite (Bajo et al.2016), the fabric thought to occur when speleothems are continuously wet and under relatively constant flow with calcite precipitation from fluids at or near isotopic equilibrium (Frisia and Borsato2010; Frisia et al.2002).

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Figure 6CC27 δ18O and trace element mean anomaly filtered index records compared with paleoclimate regional proxies. From bottom: (a) Calderone Glacier reactivation (Zanchetta et al.2012); (b) CC27 δ18O; (c)  CC27 trace element mean anomaly filtered index; (d) chironomid midge assemblage temperature derived from Verdarolo Lake fossil (Samartin et al.2017); (e) chironomid midge assemblage temperature derived from Gemini Lake fossil (Samartin et al.2017); (f) Accesa Lake summer precipitation (Peyron et al.2013); (g) Accesa Lake winter precipitation (Peyron et al.2013); (h) Accesa Lake mean annual temperature (Peyron et al.2013); (i) Accesa Lake mean annual precipitation (Peyron et al.2013); (j) Gulf of Lions storm activity record (Sabatier et al.2012); (k) alkenone temperature record from Gulf of Lions (Jalali et al.2016); (l) SST Mg∕Ca temperature record from Alboran Sea (Jiménez-Amat and Zahn2015); (m) SST alkenone temperature record from Alboran Sea (Martrat et al.2014); (n) SST alkenone temperature record from MD04-2726 in the east Mediterranean (Jalali et al.2017); (o) NAO index reconstruction (Olsen et al.2012); (p) mean anomaly filtered index of the regional proxies as discussed in the main text.

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5.3 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 (Giraudi2004, 2005), 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 (Zanchetta et al.2012, 2018). 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 (Samartin et al.2017). In further geomorphological evidence, a period of reduced alluvial activity is recognizable over the northern Apennines between ca. 4.4 and 3.6 ka cal BP (Giraudi2014), consistent with drier conditions or rainfall patterns less prone to produce alluvial layers. Further, a general phase of reduced valley sedimentary infilling occurs between ca. 4.2 and 3.6 ka cal BP in the upper Turano River drainage basin, 60 km northeast of Rome, although the origin of this phase is interpreted to be related to a general phase of biostasy related to a well-developed vegetation cover preventing runoff and sediment transport (Borrelli et al.2014). At lower altitudes, stratigraphic data from the Pisa alluvial plain (Fig. 1) indicate river channel avulsion (Sarti et al.2015) during this period, suggesting that occasionally some large floods may have occurred. In contrast, Piccarreta et al. (2011) show an increase in alluvial events between ca. 4.3 and 4.1 ka cal BP in some valleys of Basilicata (southern Italy). Quantitative reconstruction of climate parameters using pollen concentrations from Accesa Lake (Peyron et al.2013) shows reduced mean annual temperature over the considered period. Precipitation, reconstructed from the same record, shows high variability but no significant variations in mean annual values (Peyron et al.2013). In terms of seasonality, the Accesa Lake records show a winter precipitation increase between 4.4 and 4.1 ka cal BP and a decrease between 4.1 and 3.7 ka cal BP, as well as opposing summer precipitation patterns over both intervals (Fig. 6). The winter precipitation reconstruction from Accesa may thus not be in agreement with proxy data from Corchia speleothems, which indicate a reduction in cave recharge. Overall, Apennines and central Italy records show some contrasting patterns. However, the interpretation of some proxies for environmental change in this region during the middle to late Holocene needs care for the potential human impact (Zanchetta et al.2013). Indeed, this period corresponds to the beginning and definitive affirmation of the Bronze Age in Italy (Bietti Sestieri2010). The strong impact on the environment of the Bronze Age population makes it mandatory to consider each recorded environmental change as the complex result of both human activity and climate variability. This is particularly true for pollen records (Fyfe et al.2015; Roberts2004), as Bronze Age communities strongly modified the composition of the vegetation. According to Borrelli et al. (2014), many Apennine catchments underwent a shift from generally prevailing biostasy to conditions of anthropic rhexistasy starting at around 4.2 ka.

5.4 Regional comparison

Looking at the wider regional palaeoclimate, both Mg∕Ca 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 (Jiménez-Amat and Zahn2015; Martrat et al.2014). In the Gulf of Lions (NW Mediterranean; Fig. 1), the alkenone SST record from the KSGC31 core shows marked oscillations with minimum temperature values around 3.9 ka cal BP (Jalali et al.2016). Interestingly, and also from the Gulf of Lions, a record of storm activity shows a period of increased storminess between 4.4 and 4.05 ka cal BP (Sabatier et al.2012). High storm activity in the Gulf of Lions has been proposed to be related to cooling over the North Atlantic and the western Mediterranean (Sabatier et al.2012). The alkenone SST signal from MD04-2726 in the east Mediterranean (Fig. 1) shows three marked oscillations between 4.6 and 4.1 ka cal BP (Jalali et al.2017).

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 +0.1 and −0.1. 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.

5.5 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 (Reale and Lionello2013) and of secondary cyclogenesis over the Gulf of Genoa, considering the relation between cyclogenesis and rainfall in the area (Lionello et al.2006; Reale and Lionello2013). 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 (Reale and Lionello2013) and the reduction of vapor advection from the western Mediterranean, which acts as a moisture source for the central Mediterranean (Nieto et al.2010). 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 (Zappa et al.2015). For the central Apennines, winter precipitation is negatively correlated with the North Atlantic Oscillation (NAO) index (López-Moreno et al.2011), 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 (r=-0.74). At the same station, a significant positive correlation is found between δ18Op and the NAO index (r=0.41) (Baldini et al.2008). This is in agreement with rainfall amount and seasonality effects, as enhanced winter precipitation during NAO phases should be characterized by lower δ18O values. In central Europe, where the amount effect is negligible, a relatively strong positive impact of the winter NAO index on precipitation δ18O has been attributed to the higher frequency of cold easterly winds carrying 18O-depleted moisture during NAO negative phases compared to warmer westerly winds, which carry 18O-enriched moisture from the North Atlantic Ocean and Mediterranean Sea into central Europe during positive NAO winters (Baldini et al.2008). 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 (Baldini et al.2008). 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 δ18O values should be in response to the effect of lower rainout of vapor masses (Celle-Jeanton et al.2004) and the higher seawater isotopic composition of the Mediterranean compared to the North Atlantic (Pierre1999). 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 (Fletcher et al.2013; Zanchetta et al.2014), including during the Medieval Climate Anomaly (Trouet et al.2009). However, the reconstructed NAO index for the studied interval does not show a pronounced “positive mode” (Jackson et al.2005; Olsen et al.2012) and thus this mechanism is not an entirely satisfactory explanation (Fig. 6). Evidence from the tropics suggests that, at the time of 4.2 ka event, there was a near-synchronous disruption of the Indian and African summer monsoon systems (Dixit et al.2014; Welc and Marks2014) resulting from a southward shift of the Intertropical Convergence Zone (ITCZ) (Railsback et al.2018; Welc and Marks2014). The position of the ITCZ and the resulting strength of the boreal summer monsoon both influence summer aridity and temperature in the Mediterranean region and are driven by atmospheric subsidence and strengthening of the summer high-pressure systems over the basin (Alpert et al.2006; Eshel2002; Gaetani et al.2011). A southward shift in the ITCZ can weaken summer aridity, producing milder (cooler) summer conditions over the Mediterranean. This is consistent with the precipitation reconstruction from Accesa Lake (Peyron et al.2013), which suggests increasing rainfall during summer, and with a temperature reconstruction from chironomids indicating a reduction in summer temperature. On the basis of these observations we suggest that a weakening of high-pressure cells over the western Mediterranean during summer as the ITCZ shifts southward may have had a pronounced effect on Mediterranean Sea temperatures. Reduced seawater temperature at the end of summer can reduce evaporation during autumn–winter in the western–central Mediterranean Sea, causing reduced advection towards the central Mediterranean (Nieto et al.2010) and decreased cyclogenesis in the Gulf of Genoa. This effect cannot be completely captured from available SST data, which record spring and/or annual average temperature and not specific late summer–autumn temperature (Bini et al.2018; Cisneros et al.2016; Jalali et al.2016). From the available data, it seems possible that a general reduction in precipitation, as reflected in the CC27 stable isotope and trace element data for the Apuan Alps, must have involved reduced advection of vapor masses during winter and a reduction in cyclogenesis over the Gulf of Genoa. However, during the summer, tropical weakening of the monsoon systems may have triggered cooler and wetter condition and this may have been one of the causes for the 4.2 ka event.

6 Conclusions
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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 δ13C and δ18O 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 (Regattieri et al.2014b) and with the multi-proxy record from nearby Renella Cave (Drysdale et al.2006; Zanchetta et al.2016), which together provide robust evidence for a regional reduction in precipitation, in spite of some differences in chronology. These results imply a reduction of cyclones originating in the North Atlantic and of cyclogenetic activity in the Gulf of Genoa, probably due to a northward shift in westerly trajectories that reduced the transport of moist air masses from the North Atlantic and western Mediterranean. This suggests a positive NAO-like mode. Based on the available data in the region close to the Gulf of Genoa, a scenario of lower mean annual temperature, reduced precipitation during winter, and cooler and wetter summer conditions appears plausible. This is consistent with a southward shift of the ITCZ during summer, producing weaker high pressure over the western Mediterranean and reduced ocean surface warming, which dampens evaporation during autumn–early winter months. These results indicate that the synoptic processes behind the 4.2 ka event involved changes not only in average conditions (as reported by the speleothem) but also significant changes at the seasonal scale, which need to be better investigated in future works.

Data availability
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Data availability. 

Data are available upon reasonable request.

Author contributions
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Author contributions. 

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.

Competing interests
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Competing interests. 

The authors declare that they have no conflict of interest.

Special issue statement
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Special issue statement. 

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
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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

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To understand the natural variability in the climate system, the hydrological aspect (dry and wet conditions) is particularly important for its impact on our societies. The reconstruction of past precipitation regimes can provide a useful tool for forecasting future climate changes. We use multi-proxy time series (oxygen and carbon isotopes, trace elements) from a speleothem to investigate circulation pattern variations and seasonality effects during the dry 4.2 ka event in central Italy.
To understand the natural variability in the climate system, the hydrological aspect (dry and...
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