Prokaryotic diversity in four microbial mats on the Fildes Peninsula, King George Island, maritime Antarctica

Polar Biology ◽  
2018 ◽  
Vol 41 (5) ◽  
pp. 935-943 ◽  
Author(s):  
Cecilia Callejas ◽  
Gastón Azziz ◽  
Emanuel M. Souza ◽  
Paul R. Gill ◽  
Silvia Batista
2014 ◽  
Vol 6 (2) ◽  
pp. 1423-1449 ◽  
Author(s):  
R. F. M. Michel ◽  
C. E. G. R. Schaefer ◽  
F. N. B. Simas ◽  
Francelino M. R. ◽  
E. I. Fernandes-Filho ◽  
...  

Abstract. International attention to the climate change phenomena has grown in the last decade; the active layer and permafrost are of great importance in understanding processes and future trends due to their role in energy flux regulation. The objective of the this paper is to present active layer temperature data for one CALM-S site located at Fildes Peninsula, King George Island, Maritime Antarctica over an fifth seven month period (2008–2012). The monitoring site was installed during the summer of 2008 and consists of thermistors (accuracy of ± 0.2 °C), arranged vertically with probes at different depths, recording data at hourly intervals in a~high capacity data logger. A series of statistical analysis were performed to describe the soil temperature time series, including a linear fit in order to identify global trend and a series of autoregressive integrated moving average (ARIMA) models were tested in order to define the best fit for the data. The controls of weather on the thermal regime of the active layer have been identified, providing insights about the influence of climate chance over the permafrost. The active layer thermal regime in the studied period was typical of periglacial environment, with extreme variation at the surface during summer resulting in frequent freeze and thaw cycles. The active layer thickness (ALT) over the studied period showed variability related to different annual weather conditions, reaching a maximum of 117.5 cm in 2009. The ARIMA model was considered appropriate to treat the dataset, enabling more conclusive analysis and predictions when longer data sets are available. Despite the variability when comparing temperature readings and active layer thickness over the studied period, no warming trend was detected.


2020 ◽  
Vol 21 (2) ◽  
Author(s):  
Janayna Cynthia De Medeiros Galvão ◽  
Rosemary Vieira ◽  
Kátia Kellem Da Rosa ◽  
Carina Petsch ◽  
Fabrício Ferreira ◽  
...  

Solid Earth ◽  
2014 ◽  
Vol 5 (2) ◽  
pp. 1361-1374 ◽  
Author(s):  
R. F. M. Michel ◽  
C. E. G. R. Schaefer ◽  
F. M. B. Simas ◽  
M. R. Francelino ◽  
E. I. Fernandes-Filho ◽  
...  

Abstract. International attention to climate change phenomena has grown in the last decade; the active layer and permafrost are of great importance in understanding processes and future trends due to their role in energy flux regulation. The objective of this paper is to present active-layer temperature data for one Circumpolar Active Layer Monitoring South hemisphere (CALM-S) site located on the Fildes Peninsula, King George Island, maritime Antarctica over an 57-month period (2008–2012). The monitoring site was installed during the summer of 2008 and consists of thermistors (accuracy of ±0.2 °C), arranged vertically with probes at different depths, recording data at hourly intervals in a high-capacity data logger. A series of statistical analyses was performed to describe the soil temperature time series, including a linear fit in order to identify global trends, and a series of autoregressive integrated moving average (ARIMA) models was tested in order to define the best fit for the data. The affects of weather on the thermal regime of the active layer have been identified, providing insights into the influence of climate change on permafrost. The active-layer thermal regime in the studied period was typical of periglacial environments, with extreme variation in surface during the summer resulting in frequent freeze and thaw cycles. The active-layer thickness (ALT) over the studied period shows a degree of variability related to different annual weather conditions, reaching a maximum of 117.5 cm in 2009. The ARIMA model could describe the data adequately and is an important tool for more conclusive analysis and predictions when longer data sets are available. Despite the variability when comparing temperature readings and ACT over the studied period, no trend can be identified.


2021 ◽  
pp. 171-183
Author(s):  
Rocío J. Alcántara-Hernández ◽  
Luisa I. Falcón ◽  
Neslihan Tas ◽  
Patricia M. Valdespino-Castillo ◽  
Silvia Batista ◽  
...  

Polar Biology ◽  
2016 ◽  
Vol 40 (5) ◽  
pp. 1071-1083
Author(s):  
T. Mieczan ◽  
M. Adamczuk ◽  
M. Tarkowska-Kukuryk

Polar Biology ◽  
2020 ◽  
Vol 43 (9) ◽  
pp. 1391-1405 ◽  
Author(s):  
Wei Luo ◽  
Haitao Ding ◽  
Huirong Li ◽  
Zhongqiang Ji ◽  
Kaiyao Huang ◽  
...  

Polar Biology ◽  
2013 ◽  
Vol 37 (3) ◽  
pp. 403-416 ◽  
Author(s):  
Rocio J. Alcántara-Hernández ◽  
Carla M. Centeno ◽  
Alejandro Ponce-Mendoza ◽  
Silvia Batista ◽  
Martin Merino-Ibarra ◽  
...  

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