Dust transport from Patagonia to Antarctica – A new stratigraphic approach from the Scotia Sea and its implications for the last glacial cycle

Weber, Michael E; Kuhn, Gerhard; Sprenk, Daniela; Rolf, Christian; Ohlwein, Christian; Ricken, Werner

doi:10.1016/j.quascirev.2012.01.016

Cited by 82 publications

(106 citation statements)

References 67 publications

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“…Ecosystem responses to land use change occur worldwide over a wide range of spatial and temporal scales (Cardille & Lambois, ; Khoda Krami et al, ; Paz‐Kagan et al, ). In the present study, the prediction accuracy achieved by PLSR was higher than those reported by Weber et al () and Nocita et al (). However, the R 2 and RMSE values were lower than previous investigations (Kaniu et al, ; Zhang & Harrington, ), which may be a function of the small sample size.…”

Section: Discussionmentioning

confidence: 99%

Assessment and Monitoring of Soil Degradation during Land Use Change Using Multivariate Analysis

et al. 2016

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Not only are soil erosion and overall loss of soil fertility serious issues for loess‐derived soils of developing nations, such as Iran, but they are also global problems. This research investigated the role of land use change and its effect on soil degradation in cultivated, pasture, and urban lands, when compared with native forest in terms of declining of soil quality and fertility. Multivariate statistical methods including principal component analysis and cluster analysis were employed to determine the relative magnitude of anthropogenic and natural influences on soil quality. Partial least squares (PLS), principal component regression, and ordinary least squares regression were used to predict soil cation exchange capacity using soil characteristics. Principal component analysis identified five primary components of soil quality. PC1 explained 41·01% of the total variance, PC2 accounted for 15·29%, and PC3 accounted for 11·3%. PC4 and PC5 accounted for 7·37% and 4·19% of the total variance, respectively. Cluster analysis revealed that the lowest soil quality occurred in urban soils. An exponential semivariogram using PLS predictions revealed stronger spatial dependence among cation exchange capacity [r2 = 0·80, root mean square error (RMSE) = 1·99] than the other methods, principal component regression [r2 = 0·84, RMSE = 2·45] and ordinary least squares [r2 = 0·84, RMSE = 2·45]. Therefore, the PLS method provided the best model for the data. In stepwise regression analysis, mean weight diameter and labile carbon were selected as influential variables in all soils. This study quantified reductions in numerous soil quality parameters resulting from extensive land‐use changes and urbanization in the Ziarat watershed in northern Iran. Copyright © 2016 John Wiley & Sons, Ltd.

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Section: Discussionmentioning

confidence: 99%

Assessment and Monitoring of Soil Degradation during Land Use Change Using Multivariate Analysis

et al. 2016

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“…Ice cores from this region showed that dust concentration is not the only parameter influenced by climate. It is supported by ice cores from inner and peripheral EAIS (Aarons et al, 2017;Marino et al, 2009), by marine sediments (Weber et al, 2012), and by modeling constraints (Albani, Mahowald, et al, 2012;F. Multiple lines of evidence point to a remote South American source for the dust deposited on EAIS during cold stages.…”

Section: Introductionmentioning

confidence: 82%

Regionalization of the Atmospheric Dust Cycle on the Periphery of the East Antarctic Ice Sheet Since the Last Glacial Maximum

Baccolo

Delmonte

Albani

et al. 2018

Geochem Geophys Geosyst

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Ice cores from inner East Antarctica provided some of the longest and most detailed climatic reconstructions and allowed understanding the relationships between atmospheric mineral dust and climate. In this work we present synchrotron radiation X‐ray Fluorescence geochemical data of dust from the TALDICE ice core drilled at Talos Dome, a peripheral ice dome of East Antarctica (Western Ross Sea). Results highlight a dominant southern South American origin for dust at TALDICE during the Last Glacial Maximum, similarly to other sites located further inland onto the polar plateau. On the contrary, a different scenario concerns Talos Dome during the Holocene if it is compared to more inner sites. The tight connection between high southern latitudes and Antarctica that characterizes cold climate stages becomes weaker since the onset of the last climatic transition and throughout the Holocene. The net effect of this process at Talos Dome is a modification of the atmospheric and environmental settings, owing to local Antarctic sources of Victoria Land to gain importance and become the dominant ones. At the same time in inner East Antarctica the provenance of dust remains remote also during Holocene, revealing an evolution of the homogeneous scenario observed in glacial periods. The enhanced sensitivity of peripheral ice sheet sites to local dust sources makes Talos Dome an ideal site to assess the climatic and atmospheric changes of the peripheral sectors of East Antarctica during the current interglacial period.

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“…Correlating dust proxies such as magnetic susceptibility, Ca, and Fe with the Antarctic ice-core dust flux should provide high-resolution chronological control (Weber et al, 2012) at least for the late Pleistocene and allow us to reconstruct atmospheric circulation. The correlation of marine dust records to well-dated ice-core dust records has been a major step forward in developing Southern Ocean chronologies for the subantarctic Pacific (Lamy et al, 2014), subantarctic Atlantic (Martínez-Garcia et al, 2011, and Scotia Sea (Weber et al, 2012(Weber et al, , 2014. This correlation is possible because dust deposition appears to be coherent and synchronous across much of the Southern Ocean and the AIS.…”

Section: Chronology and Dust-climate Couplingsmentioning

confidence: 99%

“…This correlation is possible because dust deposition appears to be coherent and synchronous across much of the Southern Ocean and the AIS. Age models developed for Cores MD07-3133 and MD07-3134 followed this correlation strategy by synchronizing marine (magnetic susceptibility and XRF-based counts of Ca and Fe) to ice-core dust proxies (e.g., nonsea salt Ca fluxes) (McCave et al, 2014;Pugh et al, 2009;Weber et al, 2012).…”

Section: Chronology and Dust-climate Couplingsmentioning

confidence: 99%

Dust transport from Patagonia to Antarctica – A new stratigraphic approach from the Scotia Sea and its implications for the last glacial cycle

Cited by 82 publications

References 67 publications

Assessment and Monitoring of Soil Degradation during Land Use Change Using Multivariate Analysis

Assessment and Monitoring of Soil Degradation during Land Use Change Using Multivariate Analysis

Regionalization of the Atmospheric Dust Cycle on the Periphery of the East Antarctic Ice Sheet Since the Last Glacial Maximum

Expedition 382 Preliminary Report: Iceberg Alley and Subantarctic Ice and Ocean Dynamics

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