Articles | Volume 5, issue 2
https://doi.org/10.5194/se-5-721-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/se-5-721-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
30 Jul 2014
Research article |
| 30 Jul 2014
Thermal characterization of the active layer at the Limnopolar Lake CALM-S site on Byers Peninsula (Livingston Island), Antarctica
M. A. de Pablo
Department of Geology, Geography and Environment, University of Alcalá, Madrid, Spain
Department of Physics and Mathematics, University of Alcalá, Madrid, Spain
A. Molina
Department of Geology, Geography and Environment, University of Alcalá, Madrid, Spain
Centro de Astrobiología, CSIC/INTA, Madrid, Spain
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EGUsphere, https://doi.org/10.5194/egusphere-2023-2908, https://doi.org/10.5194/egusphere-2023-2908, 2024
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An Automated Electrical Resistivity Tomography (A-ERT) system was developed and deployed in Antarctica to monitor permafrost and active layer dynamics. The A-ERT, coupled with an efficient processing workflow, demonstrated its capability to monitor real-time thaw depth progression, detect seasonal and surficial freezing/thawing events, and assess permafrost stability. Our study showcased the potential of A-ERT for contributing to global permafrost monitoring networks.
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A 2-D automated electrical resistivity tomography (A-ERT) system was installed for the first time in Antarctica at Deception Island to (i) monitor subsurface freezing and thawing processes on a daily and seasonal basis and map the spatial and temporal variability of thaw depth and to (ii) study the impact of short-lived extreme meteorological events on active layer dynamics.
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An Automated Electrical Resistivity Tomography (A-ERT) system was developed and deployed in Antarctica to monitor permafrost and active layer dynamics. The A-ERT, coupled with an efficient processing workflow, demonstrated its capability to monitor real-time thaw depth progression, detect seasonal and surficial freezing/thawing events, and assess permafrost stability. Our study showcased the potential of A-ERT for contributing to global permafrost monitoring networks.
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A 2-D automated electrical resistivity tomography (A-ERT) system was installed for the first time in Antarctica at Deception Island to (i) monitor subsurface freezing and thawing processes on a daily and seasonal basis and map the spatial and temporal variability of thaw depth and to (ii) study the impact of short-lived extreme meteorological events on active layer dynamics.
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F. K. Tang, M. Cui, Q. Lu, Y. G. Liu, H. Y. Guo, and J. X. Zhou
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J. Svajda, S. Korony, I. Brighton, S. Esser, and S. Ciapala
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N. Yazdanpanah
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B. G. J. S. Sonneveld, M. A. Keyzer, and D. Ndiaye
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A. Cruz-Ruíz, E. Cruz-Ruíz, R. Vaca, P. Del Aguila, and J. Lugo
Solid Earth, 7, 1–9, https://doi.org/10.5194/se-7-1-2016, https://doi.org/10.5194/se-7-1-2016, 2016
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Z. Wang, D. A. Johnson, Y. Rong, and K. Wang
Solid Earth, 7, 55–65, https://doi.org/10.5194/se-7-55-2016, https://doi.org/10.5194/se-7-55-2016, 2016
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Grazing increased diversity, but heavy grazing decreased aboveground biomass and increased the non-grass component. Overgrazing homogenized soil characteristics at a 10m scale. Therefore, moderate grazing was recommended as the preferred management alternative for grasslands in northern China because of increased plant diversity without negative consequences related to decreased forage quality forage quantity and soil heterogeneity in northern China's grasslands.
J. Y. Zhang, M. H. Dai, L. C. Wang, C. F. Zeng, and W. C. Su
Solid Earth, 7, 83–91, https://doi.org/10.5194/se-7-83-2016, https://doi.org/10.5194/se-7-83-2016, 2016
H. Biswas, A. Raizada, D. Mandal, S. Kumar, S. Srinivas, and P. K. Mishra
Solid Earth, 6, 1247–1257, https://doi.org/10.5194/se-6-1247-2015, https://doi.org/10.5194/se-6-1247-2015, 2015
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L. Lin, Y. K. Li, X. L. Xu, F. W. Zhang, Y. G. Du, S. L. Liu, X. W. Guo, and G. M. Cao
Solid Earth, 6, 1237–1246, https://doi.org/10.5194/se-6-1237-2015, https://doi.org/10.5194/se-6-1237-2015, 2015
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İ. Gümüş and C. Şeker
Solid Earth, 6, 1231–1236, https://doi.org/10.5194/se-6-1231-2015, https://doi.org/10.5194/se-6-1231-2015, 2015
X. Lu, Y. Yan, J. Sun, X. Zhang, Y. Chen, X. Wang, and G. Cheng
Solid Earth, 6, 1195–1205, https://doi.org/10.5194/se-6-1195-2015, https://doi.org/10.5194/se-6-1195-2015, 2015
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Grazing exclusion has been widely adopted to restore degraded grasslands in Tibet. We investigated soil properties and nutrients by comparing free-grazing and grazing exclusion grasslands. The results showed that grazing exclusion had no impact on most soil properties and nutrients, and even caused a considerable decrease in soil TN and TP in the soil surface layer. Nevertheless, climate conditions during the growing season played an important role in controlling the soil quality status.
Z. Gong, K. Kawamura, N. Ishikawa, M. Goto, T. Wulan, D. Alateng, T. Yin, and Y. Ito
Solid Earth, 6, 1185–1194, https://doi.org/10.5194/se-6-1185-2015, https://doi.org/10.5194/se-6-1185-2015, 2015
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This study evaluated trends in vegetation cover and phenology dynamics in the Inner Mongolia grassland by applying a normalized difference vegetation index (NDVI) time series obtained by the Terra Moderate Resolution Imaging Spectroradiometer (MODIS) during 2002–2014. The positive trends of the cumulative annual NDVI (77.10%) could be interpreted as an increase in plant productivity in the Inner Mongolia permanent grassland. And the growing season has lengthened by 10.86 days.
C. Y. Niu, A. Musa, and Y. Liu
Solid Earth, 6, 1157–1167, https://doi.org/10.5194/se-6-1157-2015, https://doi.org/10.5194/se-6-1157-2015, 2015
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The higher soil moisture content among different land uses was exhibited by the grassland, and followed by cropland, poplar land, inter-dunes and shrub land. The temporal variations of soil moisture in different land uses were not always consistent with the rainfall due to the dry sequence. The infiltration depth exhibited a positive correlation with precipitation under all land uses. This study provided an insight into the implications for land and agricultural water management in this area.
K. Wasak and M. Drewnik
Solid Earth, 6, 1103–1115, https://doi.org/10.5194/se-6-1103-2015, https://doi.org/10.5194/se-6-1103-2015, 2015
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The paper shows soil organic carbon sequestration (SOC) rates in calcareous shallow soils in reforested areas in the Tatra Mts., with a particular focus on the different forms of organic matter (OM) storage. Fifty years after the conversion of pastureland to grassland, the emergence of dwarf pine shrub, larch forest, the development of genetic soil horizons as well as SOC sequestration and the occurrence of OM forms in soil, are related to plant community.
D. Tsozué, J. P. Nghonda, and D. L. Mekem
Solid Earth, 6, 1087–1101, https://doi.org/10.5194/se-6-1087-2015, https://doi.org/10.5194/se-6-1087-2015, 2015
P. Musinguzi, P. Ebanyat, J. S. Tenywa, T. A. Basamba, M. M. Tenywa, and D. Mubiru
Solid Earth, 6, 1063–1073, https://doi.org/10.5194/se-6-1063-2015, https://doi.org/10.5194/se-6-1063-2015, 2015
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This study showed that resource-poor smallholder farmers can ably rate fields for soil fertility as poor or good but had difficulties in identifying medium-fertility fields. Rating with SOC improved precision to rate medium-fertility fields. SOC and clay content explained the highest yield variances in heterogeneous smallholder farms. A combination of SOC and farmers' field experiences can be affordable approaches to guide fertility management and fertilizer application.
A. Erol, Ö. Koşkan, and M. A. Başaran
Solid Earth, 6, 1025–1035, https://doi.org/10.5194/se-6-1025-2015, https://doi.org/10.5194/se-6-1025-2015, 2015
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In addition to physical factors, socioeconomic factors have crucial effects on soil erosion, although the joint study of physical and socioeconomic factors has been limited to date. To address this, the present study aimed to determine the effect of socioeconomic factors on soil loss and, in turn, to modify the universal soil loss equation (USLE).
J. Wang, A. Ge, Y. Hu, C. Li, and L. Wang
Solid Earth, 6, 997–1006, https://doi.org/10.5194/se-6-997-2015, https://doi.org/10.5194/se-6-997-2015, 2015
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A fuzzy intelligent system based on a fuzzy decision tree was established for land potential evaluation. We proposed one new model for feature selection based on the fuzzy measure using the L1-norm method, which can help to construct an index system for intelligent evaluation. The data comes from the “Three Old” project of Shunde, China. It is huge and heterogeneous and is therefore used first for research. The fuzzy intelligent system shows good performance for land potential evaluation.
Q. Dai, Z. Liu, H. Shao, and Z. Yang
Solid Earth, 6, 985–995, https://doi.org/10.5194/se-6-985-2015, https://doi.org/10.5194/se-6-985-2015, 2015
M. Yazdani, S. M. Monavari, G. A. Omrani, M. Shariat, and S. M. Hosseini
Solid Earth, 6, 945–956, https://doi.org/10.5194/se-6-945-2015, https://doi.org/10.5194/se-6-945-2015, 2015
C. Cassinari, P. Manfredi, L. Giupponi, M. Trevisan, and C. Piccini
Solid Earth, 6, 929–943, https://doi.org/10.5194/se-6-929-2015, https://doi.org/10.5194/se-6-929-2015, 2015
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The amount of water available to plants in a closed landfill soil is analyzed by laboratory analyses, by using pedotransfer functions (PTFs) and by studying plant coverage. The laboratory analyses and PTFs highlighted the soil's inability to hold water. The closed landfill plant coverage consists of annual species (therophytes) typical of disturbed environments. The soil's low-water content, together with other degraded soil characters, justifies the plant coverage.
Y. Mohawesh, A. Taimeh, and F. Ziadat
Solid Earth, 6, 857–868, https://doi.org/10.5194/se-6-857-2015, https://doi.org/10.5194/se-6-857-2015, 2015
R. E. Masto, S. Sheik, G. Nehru, V. A. Selvi, J. George, and L. C. Ram
Solid Earth, 6, 811–821, https://doi.org/10.5194/se-6-811-2015, https://doi.org/10.5194/se-6-811-2015, 2015
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Impact of coal mining on soil was assessed through an integrated environmental soil quality index (ESQI). Biological activity was higher in underground mine (UGM) soil. As, Be, Co, Cr, Cu, Mn, Ni, and Pb were higher in opencast mine (OCM) soil, whereas Cd was higher in UGM. Polycyclic aromatic hydrocarbons (PAHs) were higher in UGM soil. Calculated ESQI, based on total PAHs, loss on ignition, bulk density, Be, Co, Cr, Ni, Pb, and microbial quotient, was higher for UGM (+10.1%) than OCM soils.
J. Ni, D. H. Luo, J. Xia, Z. H. Zhang, and G. Hu
Solid Earth, 6, 799–810, https://doi.org/10.5194/se-6-799-2015, https://doi.org/10.5194/se-6-799-2015, 2015
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The root biomass study of karst (limestone and dolomite) vegetation in southwestern China and even in the word’s karst regions is rarely investigated. The mixed evergreen and deciduous broadleaved forest in karst terrain of SW China has higher root biomass, but very high ratio of root to aboveground biomass compared to non-karst subtropical evergreen broadleaved forests. Such findings have significant ecological meanings for vegetation restoration and carbon increment.
S. Vingiani, G. Mele, R. De Mascellis, F. Terribile, and A. Basile
Solid Earth, 6, 783–797, https://doi.org/10.5194/se-6-783-2015, https://doi.org/10.5194/se-6-783-2015, 2015
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An integrated soil study was carried out on landslides which have occurred on the steep northern slopes of Mt. Vezzi on the island of Ischia (Italy). The studied soils showed a substantial abrupt discontinuity in all the studied properties along a buried fine ash layer (namely, the 2C horizon). Nevertheless, only the identification of a layer of thin, finely stratified ash on the top of 2C, by optical microscopy, enabled us to assume this interface to be an impeding layer for water fluxes.
T. Erkossa, A. Wudneh, B. Desalegn, and G. Taye
Solid Earth, 6, 765–774, https://doi.org/10.5194/se-6-765-2015, https://doi.org/10.5194/se-6-765-2015, 2015
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The paper reviews global and regional literature related to soil erosion and crop productivity. It argues that the cost of not replacing the nutrient lost due to erosion is more meaningful in areas where farmers do not apply the recommended rate of fertilizers. Thus, it established a functional relationship between the nutrients and yield of major crops based on data from three watersheds in the Nile basin and estimated the annual financial loss based on the local market price of the crops.
B. Turgut
Solid Earth, 6, 719–725, https://doi.org/10.5194/se-6-719-2015, https://doi.org/10.5194/se-6-719-2015, 2015
K. E. Seutloali and H. R. Beckedahl
Solid Earth, 6, 633–641, https://doi.org/10.5194/se-6-633-2015, https://doi.org/10.5194/se-6-633-2015, 2015
M. Wiesmeier, M. Lungu, R. Hübner, and V. Cerbari
Solid Earth, 6, 609–620, https://doi.org/10.5194/se-6-609-2015, https://doi.org/10.5194/se-6-609-2015, 2015
Y. Yu, W. Wei, L. D. Chen, F. Y. Jia, L. Yang, H. D. Zhang, and T. J. Feng
Solid Earth, 6, 595–608, https://doi.org/10.5194/se-6-595-2015, https://doi.org/10.5194/se-6-595-2015, 2015
E. L. Poelking, C. E. R. Schaefer, E. I. Fernandes Filho, A. M. de Andrade, and A. A. Spielmann
Solid Earth, 6, 583–594, https://doi.org/10.5194/se-6-583-2015, https://doi.org/10.5194/se-6-583-2015, 2015
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