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Geochemical and mineralogical characterization of sediments from Lake Futalaufquen (42.8°S, Andean Patagonia) to evaluate their potential as paleoclimatic proxies

Published online by Cambridge University Press:  03 June 2020

Romina Daga*
Affiliation:
Laboratorio de Análisis por Activación Neutrónica, Centro Atómico Bariloche, CNEA, Av. Bustillo km 9.5, 8400 Bariloche, Argentina Centro Científico Tecnológico CONICET, Patagonia Norte, Argentina
Sergio Ribeiro Guevara
Affiliation:
Laboratorio de Análisis por Activación Neutrónica, Centro Atómico Bariloche, CNEA, Av. Bustillo km 9.5, 8400 Bariloche, Argentina
Andrea Rizzo
Affiliation:
Laboratorio de Análisis por Activación Neutrónica, Centro Atómico Bariloche, CNEA, Av. Bustillo km 9.5, 8400 Bariloche, Argentina Centro Científico Tecnológico CONICET, Patagonia Norte, Argentina
Polona Vreča
Affiliation:
Jožef Stefan Institute, 1000 Ljubljana, Slovenia
Sonja Lojen
Affiliation:
Jožef Stefan Institute, 1000 Ljubljana, Slovenia University of Nova Gorica, 5000 Nova Gorica, Slovenia
Natalia Williams
Affiliation:
Laboratorio de Análisis por Activación Neutrónica, Centro Atómico Bariloche, CNEA, Av. Bustillo km 9.5, 8400 Bariloche, Argentina Centro Científico Tecnológico CONICET, Patagonia Norte, Argentina
Telma Musso
Affiliation:
Instituto de Investigación y Desarrollo en Ingeniería de Procesos, Biotecnología y Energías Alternativas (PROBIEN, CONICET – UNCo), Neuquén, Argentina
Valeria León
Affiliation:
Facultad de Ingeniería, UNCo, Neuquén, Argentina
Daniel Poiré
Affiliation:
Centro de Investigaciones Geológicas (UNLP-CONICET), Diagonal 113 N°275, 1900 La Plata, Argentina
Marina Arcagni
Affiliation:
Laboratorio de Análisis por Activación Neutrónica, Centro Atómico Bariloche, CNEA, Av. Bustillo km 9.5, 8400 Bariloche, Argentina Centro Científico Tecnológico CONICET, Patagonia Norte, Argentina
María Arribére
Affiliation:
Laboratorio de Análisis por Activación Neutrónica, Centro Atómico Bariloche, CNEA, Av. Bustillo km 9.5, 8400 Bariloche, Argentina Instituto Balseiro, UNCu, Argentina
*
*Corresponding author at: Centro Atómico Bariloche, CNEA, Av. Bustillo km 9.5, 8400 Bariloche, Argentina. E-mail address: romina@cab.cnea.gov.ar
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Abstract

Lake sediments are key archives for paleoenvironmental investigation as they provide continuous records of the depositional history of the lake and its watershed. Lake Futalaufquen (42.8°S) is an oligotrophic waterbody located in Los Alerces National Park in the Andes of northern Patagonia, South America. A sedimentary sequence covering 1600 years was recovered to analyze the potential for paleoenvironmental reconstructions of the last millennia. Integration of different geochemical and mineralogical parameters and comparison with climatic reconstructions from other Patagonian records give clues for the identification of a warm period around AD 800–1000, associated with the Medieval Climatic Anomaly. The high frequency of tephra layers beginning in the mid-sixteenth century precludes identification of the Little Ice Age, recorded in northern Patagonia as a cold period from the fourteenth to the eighteenth century. Furthermore, the parameters analysed do not provide evidence of late-twentieth-century global warming. However, Zn deposition, a long-distance atmospheric transport process of anthropogenic origin, was identified during the last century.

Information

Type
Research Article
Copyright
Copyright © University of Washington. Published by Cambridge University Press, 2020
Figure 0

Figure 1. (color online) (a) Location of Lake Futalaufquen in Los Alerces National Park (LANP), Argentina, its catchment, and regional setting (Chile-Argentina international border and close-by volcanoes of the Southern Volcanic Zone); (b) geology (modified from Orts et al., 2015) of the area, coring site, and topography; (c) precipitation data illustrate the strong west-to-east decline in rainfall: annual precipitation and monthly distribution (2009–2016; meteorological information from the Instituto Nacional de Tecnología Agropecuaria, Esquel) from four local stations in the study area (1) Amutuy Quimei, (2) Pto. Bustillo, (3) R. Futaleufú, and (4) Trevelin; for locations see (a).

Figure 1

Figure 2. (color online) Photography and schematic lithology of Lake Futalaufquen sediment sequence. The age-depth model is presented with probability distributions of 14C dates in dark gray and the age including uncertainties in parentheses; 137Cs date point, a known tephra (FU1) and extraction dates are also shown. Probability distributions in light gray were obtained from the model to date tephra layers (FU7, FU13, FU18, and FU29) and the bottom of the sequence (modified from Daga et al., 2016b). Lithological Zones 1 (Z1) and 2 (Z2), main sedimentological features, such as dry bulk density, water percentage (modified from Daga et al., 2016b), mineralogy (Amorph = amorphous, Pl = plagioclase, Qz = quartz, Px = pyroxene, Kln-Chl = kaolinite-chlorite, Zeo = zeolite, Mca = mica, Crs = cristobalite), and amorphous vs crystals components are shown.

Figure 2

Figure 3. (color online) Elemental profiles from Lake Futalaufquen vs. depth (left) and age (right). Lithological Zones 1 (Z1) and 2 (Z2) are shown. OM = organic matter, δ13C values and Mn concentrations are modified from Daga et al. (2016a, 2016b). Horizontal gray lines represent tephra layers.

Figure 3

Figure 4. (color online) Elemental profiles from Lake Futalaufquen vs. depth (left) and age (right). Lithological Zones 1 (Z1) and 2 (Z2) are shown. Aluminium and Fe concentrations are modified from Daga et al. (2016a). Horizontal gray lines represent tephra layers; vertical dotted lines in Al, Fe, Mg, and Zn represent mean concentration for the period (see text).

Figure 4

Figure 5. (color online) Bivariate graphs showing a comparison of Lake Futalaufquen sediment composition and stream sediments from the watershed (geochemical data from Ferpozzi et al., 2004) close to the coring site. Circled samples correspond to the tephra layers (Daga et al., 2016b). For location of references see Figure 1. NPB = North Patagonian Batholith; VolcSed = volcanic and volcanosedimentary rocks; Volc = volcanic rocks.

Figure 5

Figure 6. (color online) (a) Organic matter/Ti (OM/Ti) and amorphous/plagioclase (Amorph/Pl) ratios vs. depth. In the Amorph/Pl profile the peak at 54 cm depth was cut off due to such high value corresponds to the effect of a microtephra with high volcanic glass regarding plagioclase, in agreement with a clear decrease in the OM/Ti ratio; as the cause of the peak is not the increase in productivity, this point is not considered in the increasing tendency of the ratio. Bottom right is the view of the 55–60 cm depth section showing the greenish and black layering with the detail of Mn, OM, and OM/Ti variation; (b) raw values of δ13C, δ15N, and Zn compared with EFc from Antarctica (modified from Planchon et al., 2002); tephra layers are excluded.

Figure 6

Table 1. Stable isotope ratios of carbon (δ13C) and nitrogen (δ15N) for pelagic (POM: particulate organic matter) and lacustrine macrophytes from Lake Futalaufquen and ranges from riparian tree leaves from lakes Moreno Este (Austrocedrus chilensis, Chusquea culeou, Crinodendron patagua, Lomatia hirsuta, Luma apiculata, and Nothofagus chilensis; Arcagni et al., 2013) and Nahuel Huapi (N.dombeyi, N. antarctica, Weinmannia trichosperma, Lomatia hirsuta, Luma apiculata, A. chilensis, Maytenus boaria, and Amomyrtus luma; Arcagni et al., 2015).

Figure 7

Figure 7. (color online) Summary of paleoenvironmental studies (a non-exhaustive list) carried out in Patagonia between 38°S and 54°S reporting wet/cold and dry/warm conditions plotted on a map of annual mean precipitation (Hijmans et al., 2005). Modeled climatic anomalies for the last millennia (LIA and MCA) from Mann et al. (2009, indicated by *) and Ahmed et al. (2013, indicated by **) were used as a base for comparison of multiproxy records obtained from tree-ring, glacial, marine, and (predominantly) lake/peat sequences. Note the short time of agreement between both reconstructions. References with indication of chronology quality (dpm: 14C dates per millennium, model applied when corresponds; other methods; Blaauw et al., 2018): 1 Fletcher and Moreno, 2012 (4, Oxcal; 210Pb); 2 Coviaga et al., 2017 (2, Oxcal; 137Cs); 3 Fagel et al., 2008 (varve/137Cs/210Pb); 4 Bertrand et al., 2005 (varve/137Cs/210Pb/ Tephra); 5 Ariztegui et al., 2007 (4; varve/137Cs); 6 Serra et al., 2016 (210Pb/Tephra); 7 Lamy et al., 2001 (1, linear interpolation); 8 Villalba, 1994 (dendrochronology); 9 Lara and Villalba, 1993 (dendrochronology); 10 Williams et al., 2016 (137Cs/210Pb/Tephra); 11 Williams et al., 2019 (137Cs/210Pb/Tephra); 12 Masiokas et al., 2010 (dendrogeomorphic); 13# This study (1.3, Oxcal; 137Cs/Tephra); 14 Bertrand et al., 2014 (5, Clam); 15 Stine, 1993 (dead trees); 16 Ohlendorf et al., 2014 (2, mixed regression); 17 Fey et al., 2009 (4, linear interpolation); 18 Moreno et al., 2009 (2, cubic spline); 19 Moy et al., 2008 (3, 3rd-order polynomial); 20 Haberzettl et al., 2005 (2, polynomial); 21 Mayr et al., 2005 (3, linear interpolation); 22 Schimpf et al., 2011 (Th/U ages); 23 van Bellen et al., 2016 (7–9, Bacon); 25 Waldmann et al., 2010 (0.2; Tephra); 25 Mauquoy et al., 2004 (9.3); 26 Ponce et al., 2011 (0.5, 2rd-order polynomial).

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