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    30 March 2020, Volume 32 Issue 1 Previous Issue    Next Issue

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    Comparison of Antarctic and Arctic sea ice variations and their impact factors
    Ke Changqing, Jin Xin, Shen Xiaoyi, Li Mengmeng
    2020, 32 (1):  1-12.  DOI: 10.13679/j.jdyj.20190002
    Abstract ( 1029 )   PDF (8274KB) ( 892 )  

    Sea ice is an important component of the ocean–atmosphere system, and forms part of the sensitive response and feedback mechanisms in the global climate system. In this paper, spatio-temporal variations and trends of Antarctic and Arctic sea ice were analyzed using sea ice concentration data from 1992 to 2008 obtained from European Space Agency. Combining these data with NCEP (National Centers for Environmental Prediction)/NCAR(National Center for Atmospheric Research) air temperatures and ENSO indices, impact factors of sea ice variation were calculated. Results indicate that Arctic sea ice exhibits a statistically significant trend of −6.88×104 km2·a−1; sea ice concentration during the month of minimum sea ice cover in summer has been changing at an even higher rate of −10.18×104 km2·a–1. The highest and most statistically significant trends are found in the Arctic Ocean, Barents Sea, Kara Sea, Baffin Bay and Labrador Sea (generally exceeding −1.2%·a−1). Antarctic sea ice exhibits a small trend (below +0.5%·a−1) that is not statistically significant. Sea ice concentration has increased in the Ross Sea and the South Pacific and South Atlantic sectors of the Southern Ocean. Correlations between air temperature and sea ice cover with a lag of 1 month are negative and statistically significant. Trends in air temperature increase are statistically significant in the Arctic; the largest magnitudes are found in the Arctic Ocean, Hudson Bay, Baffin Bay, Kara Sea, Barents Sea, and the Chukchi Sea where sea ice has decreased considerably. However, in the Antarctic, air temperature decreased in the South Pacific and South Atlantic sectors where sea ice has increased slightly. Arctic sea ice decrease is highly correlated with decreasing ONI with a lag of 39 months and increasing SOI with a lag of 40 months. Antarctic sea ice increase is highly correlated with decreasing ONI with a lag of 7 months and increasing SOI with a lag of 6 months. There is a strong correspondence between polar sea ice variations and three strong warm and cold ENSO events.

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    Variation of summertime greenhouse gas fluxes from tundra marshes and their response to climate change in maritime Antarctica
    Wang Pei, Ye Wenjuan, Zhu Renbin, Xu Hua
    2020, 32 (1):  13-24.  DOI: 10.13679/j.jdyj.20190019
    Abstract ( 731 )   PDF (739KB) ( 1069 )  

    During the austral summer of 2016—2017, CH4, CO2, and N2O fluxes and selected environmental variables were measured over tundra marshes on Ardley Island in maritime Antarctica. In the presence of sunlight, a net CH4 flux of –5.4±4.3 μg·m–2·h–1 was measured at the dry tundra site, while net CH4 emissions were detected at the mesic and waterlogged sites. Under sunlight conditions, maximum N2O flux was –2.6±2.4 μg·m–2·h–1, and was measured at the waterlogged site; all sites showed net N2O consumption. In the total absence of sunlight, all sites showed net CH4 and N2O emissions. Light and water enhance CH4 consumption via aerobic oxidation and promote denitrification and the subsequent formation of N2O. Under sunlight conditions, all three sites acted as CO2 sinks. The highest net CO2 flux and photosynthetic flux occurred at the waterlogged site (–40.1±17.6 mg·m–2·h–1 and –91.2±26.5 mg·m–2·h–1), while the highest ecosystem respiration rate occurred at the dry tundra site (73.1±17.6 μg·m–2·h–1). Favorable temperature and precipitation conditions during the Antarctic summer promote photosynthesis in tundra vegetation, resulting in increased CO2 uptake by marshes. Relationship between time and fluxes of the three greenhouse gases is not statistically significant (P>0.05). However, under the conditions of variable precipitation and temperature, fluctuations in N2O and CH4 fluxes are similar to those in CO2. Results indicate that different light conditions, even those under the same sunlight intensity, have considerable influence on estimates of CH4 and N2O fluxes. Relationships between the three greenhouse gases and between the gases and various environmental factors deserve further study.

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    Influence of biogenic silica on measurements of sediment grain size in Prydz Bay, Antarctica
    Wang Liyan, Li Guangxue
    2020, 32 (1):  25-36.  DOI: 10.13679/j.jdyj.20190017
    Abstract ( 700 )   PDF (13303KB) ( 344 )  
    Samples obtained from a gravity core from Prydz Bay were pretreated by the removal of biogenic silica. Sediment grain size and volume percentages of particles of different sizes were measured; results between treated and untreated samples were compared. Main grain size distribution of biogenic silica in the sediments of Prydz Bay is <3Φ, 5.25—7.25Φ, and 8.75—9.75Φ. We conducted a correlation analysis on the grain size parameters and the percentage content of each component obtained from the two sets of experiments, and inferred that biogenic silica has little influence on the average particle size, sand, silt and clay fractions in the sediment, but has a clear influence on the sorting, skewness and kurtosis of grain size distribution; as a result, in untreated samples, measured particle size is larger than actual particle size. Study results indicate that removal of biogenic silica from sediments is a prerequisite for grain size studies and provenance analyses in polar regions.
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    Abundance and distribution of dimethylsulfoniopro?pionate-degrading genes in Kongsfjorden in the Arctic in summer
    Liu Huijun, Zeng Yinxin, Lu Zhibo, Yu Yong
    2020, 32 (1):  37-46.  DOI: 10.13679/j.jdyj.20190028
    Abstract ( 696 )   PDF (812KB) ( 800 )  

    As one of the most abundant organic sulfur compounds in the oceans, dimethylsulfoniopropionate (DMSP) has important physiological and ecological functions in phytoplankton cells and is also an important nutrient for marine microorganisms. Dimethyl sulfide (DMS) is produced during DMSP decomposition, and is also the most important source of volatile organic sulfide in a reduced state in the oceans. Therefore, the metabolism of DMSP plays an important role in the global sulfur cycle. Bacteria can degrade DMSP in seawater through demethylation and cleavage pathways, thus determining whether sulfur elements enter the microbial food web in the form of sulfur-containing proteins or enter the atmosphere as DMS. To date, there have been few reports on bacterial degradation of DMSP in high-latitude Arctic waters. Demethylase gene dmdA and lyase gene dddP are involved in the two major pathways of DMSP degradation. We examined abundance and distribution of these two genes in the waters of Kongsfjorden in the Arctic in summer 2015 and 2016 using quantitative polymerase chain reaction (qPCR). Average abundance ratios of DMSP-degrading enzyme genes (dmdA and dddP) to 16S rRNA genes in seawater were 0.25%±0.31%, 0.32%±0.58%, respectively. Measurements along transects from the outer to the inner fjord indicate that relative abundances of dmdA and dddP in surface waters were lower in the outer fjord and increased towards the inner fjord in 2015, with the exception of the dddP gene at the K5 site. However, in 2016, there was no obvious trend of relative abundance of dddP gene in surface waters in the fjord; relative abundance of dddP gene in deep waters was higher in the outer fjord and decreased towards the inner fjord. Abundance of bacterioplankton containing DMSP degradation genes was very low in Kongsfjorden in summer. There were large spatial and temporal variations in the distribution of DMSP-degrading bacteria that are involved in different DMSP catabolism pathways. Further studies are needed to improve our understanding of bacterial DMSP degradation in Kongsfjorden and the ecological role of these bacteria in the local sulfur cycle.

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    Distribution of summer particulate organic carbon and factors influencing it in the ocean adjacent to the Antarctic Peninsula
    Zhang Yicheng, Han Zhengbing, Yang Yang, Pan Jianmin, Zhang Haifeng, Li Dong, Zhao Jun, Zhu Qiuhong, Fan Gaojing, Zhang Haisheng
    2020, 32 (1):  47-59.  DOI: 10.13679/j.jdyj.20190007
    Abstract ( 747 )   PDF (7723KB) ( 392 )  

    Particulate organic carbon (POC) is an important material and energy source for the marine food chain. Because of its close relationship with life processes and primary productivity, its distribution can effectively provide information on the biogeochemical environment. During the 33rd CHINARE that took place between December 2016 and January 2017, suspended particulate matter samples were collected from the ocean adjacent to the Antarctic Peninsula to study POC distribution and factors influencing POC distribution. In the Scotia Sea, POC concentrations were between 7.44 and 193.52 μg·L−1, with a mean value of 48.84±35.09 μg·L−1; over South Scotia Ridge, concentrations were between 9.13 and 62.17 μg·L−1, with a mean value of 29.76±14.12 μg·L−1; in Powell Basin, concentrations were between 5.87 and 270.72 μg·L−1, with a mean value of 48.57±38.92 μg·L−1. In surface waters, high concentrations were found in Scotia Sea and Powell Basin while low concentrations were found over South Scotia Ridge; these results are consistent with variations in chlorophyll-a concentration, but are opposite to those in nutrient concentration. Concentrations of POC decreased with depth. In Powell Basin and Scotia Sea, the highest POC concentrations were found between the surface and a depth of 25 m. Results from principal component analysis show that photosynthetic phytoplankton is the main source of POC in the study area. Concentrations of POC were affected by temperature, water mass mixing and melting sea ice. Proportions of non-living POC were low over South Scotia Ridge; they were high in Scotia Sea and Powell Basin because of high krill biomass, sea ice debris and input from land-based sources.

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    Secondary metabolites from the Antarctic fungi Cladosporium sp. NJF4 and NJF6
    Chang Junnan, Tian Xiaoqing, Fan Chengqi, Huang Jinchang, Lu Yanan, Han Qinghua
    2020, 32 (1):  60-67.  DOI: 10.13679/j.jdyj.20190020
    Abstract ( 720 )   PDF (439KB) ( 855 )  

    Antarctic microorganisms exhibit considerable uniqueness and biodiversity because of their harsh and special habitat. Their secondary metabolites have become an important source of bioactive substances. Research on polar microbial secondary metabolites has gradually increased in recent years, but still lags behind temperate and tropical microbial research. We conducted chemical analyses on two fungi (Cladosporium sp. NJF4 and NJF6) in marine sediments from Prydz Bay, Antarctica. Twenty compounds were isolated, including sterol (1), sesquiterpenes (7—8), alkaloids (9—14), diketopiperazines (2—5, 15—17), and aromatic acids (6, 18—19). The sesquiterpenoids (7—8) were isolated from this genus for the first time. This study provides a new theoretical basis to fully exploit the metabolic potential of the Antarctic microorganisms, and will play an important role in promoting research on the medicinal value of polar microbial resources.

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    Isolation of culturable strains from Antarctic Ross Sea sediments and study of extracellular hydrolase activity
    Wang Fei, Cong Bailin, Zhang Zhaohui, Yang Huanghao
    2020, 32 (1):  68-81.  DOI: 10.13679/j.jdyj.20190051
    Abstract ( 769 )   PDF (3341KB) ( 909 )  

    To evaluate the potential of Antarctic microbial resources for exploitation, we isolated culturable bacteria from sediments collected from the Ross Sea region in Antarctica and examined their diversity and extracellular enzyme activities. Pure cultured bacteria and fungi were isolated using Zobell 2216E medium and potato dextrose agar(PDA). Diversity and phylogeny of culturable microorganisms were analyzed using 16S rDNA and 18S/ITS sequencing. We found 79 strains of bacteria and 54 strains of fungi, of which Psychrobacter and Cladosporium were dominant. Phenotypic similarity with model strain was low (less than 97%) in two bacterial strains, indicating the potential discovery of new species. Results from API20NE tests show that most strains have extracellular hydrolase activity. This study provides new information on culturable microbial resources in Antarctica and lays the foundation for exploitation of Antarctic microbial resources.

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    Fatty acid composition of Spiny Icefish (Chaenodraco Wilsoni) in the Bransfield Strait, Antarctic during summer-autumn 2016 and its implication to diet
    Wu Ruijie, Yang Qingyuan, Zhu Guoping
    2020, 32 (1):  82-89.  DOI: 10.13679/j.jdyj.20190001
    Abstract ( 717 )   PDF (1364KB) ( 857 )  

    Spiny icefish (Chaenodraco wilsoni) plays an important role in the transfer of energy between marine predators and prey organisms, and is the target species of the demersal trawl fishery late 1970s and is one of bycatch species for the Antarctic krill fishery in recent years. However, information on its diet and nutritional characteristics are very limited. We analyzed the content and composition of fatty acids in muscle tissues of spiny icefish collected from the Bransfield Strait, and further explored the diet of spiny icefish using marker fatty acids. Standard lengths of fish samples ranged from 4.8 to 30.7 cm and wet weights ranged from 0.3 to 250.5 g. We found 29 fatty acids, of which C16:0, C18:0, C18:1 n9c, C20:5 n3 (EPA) and C22:6 n3 (DHA), were dominant; polyunsaturated fatty acid was the most abundant, followed by saturated fatty acids, and monounsaturated fatty acids were the least abundant. There was no statistically significant correlation between fish size and marker fatty acids, indicating that the diet of spiny icefish was not varied with ontogeny. Spiny icefish is omnivorous, and feed mainly on diatoms and Antarctic krill (Euphausia superba) during autumn and winter, some benthic organisms, copepods and seabed debris are fed by this species.

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    Water mass structure in the euphotic zone around South Shetland Islands, Antarctic during summer 2013
    Zhou Mengxiao, Zhu Guoping
    2020, 32 (1):  90-101.  DOI: 10.13679/j.jdyj.20190022
    Abstract ( 767 )   PDF (11641KB) ( 379 )  
    The South Shetland Islands are located in the south side of the Scotia Sea and separated from the Antarctic Peninsula by Bransfield Strait. The region has been a focus of oceanographic research and has become an important fishing ground for Antarctic krill (Euphausia superba) recently. The euphotic zone is the most productive zone in the ocean and occurs the highest concentration of marine biota. Understanding of the characteristics and dynamics of water masses in the euphotic zone can provide basic information for oceanographic research, and also provide scientific support for the distribution and habitat of pelagic organisms, such as the Antarctic krill. In this study, we analyzed temperature and salinity profile data collected from the euphotic zone along five transects around the South Shetland Islands between January and March 2013. Results indicate a clear vertical water mass structure in the deeper areas in the north part of the South Shetland Islands. Antarctic Summer Surface Water, Winter Water and Circumpolar Deep Water occur from surface down, respectively. The Bransfield Strait, which locates in the south of the South Shetland Islands, is almost entirely dominated by the Transitional Zonal Water with Weddell Sea influence (TWW). The water mass structure is complex in its southwestern basin of the Bransfield Strait; the TWW, the Transitional Zonal Water with Bellingshausen Sea influence, and water from the Drake Passage occur in this region. Elucidating the complicated water mass structure around the South Shetland Islands is scientifically important for further study on biophysical interactions in the Southern Ocean.
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    Feature analysis and association rule mining of ship accidents in Arctic waters
    Fu Shanshan, Liu Yanping, Xi Yongtao, Wan Hui
    2020, 32 (1):  102-111.  DOI: 10.13679/j.jdyj.20190010
    Abstract ( 849 )   PDF (2007KB) ( 943 )  
    With the melting of sea ice, Arctic sea routes are increasingly used and developed, requiring information to support the management of risks of ship accidents in Arctic waters. We identified latent association rules between ship and accident attributes using accident records from 2008 to 2017, data mining and temporal and spatial analysis. Results show that the number of accidents has been increasing, with most accidents occurring in the harbor of Мурманск in eastern Barents Sea and in northern Norwegian Sea. The small Russian fishing vessel is the dominant vessel type in Arctic waters. Serious accidents in Arctic waters are influenced by several variables such as gross tonnage, flag, vessel type, accident type and accident location. Large ships are more likely to cause serious accidents. Serious accidents of Russian fishing vessels in Arctic waters were often caused by machinery damage, and rarely caused environmental pollution. These findings can be of use to maritime safety administrations and shipping companies in the prevention of accident and risk management of Arctic shipping.
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    Track segmentation method of polar research vessel based on time-domain difference
    Wang Jian, Shi Jingcong, Huang Dongmei, Zheng Xiaoluo, He Shengqi, Zhang Beichen
    2020, 32 (1):  112-120.  DOI: 10.13679/j.jdyj.20190011
    Abstract ( 629 )   PDF (1621KB) ( 669 )  
    The Xuelong research vessel is an important tool in the development of China's polar scientific research. A large quantity of ship track data has accumulated over dozens of voyages; they contain valuable information that needs to be mined. Track segmentation categorizes ship tracks according to the state of the ship’s propulsion system: at rest or engaged. Efficient segmentation algorithms can extract the segments containing large amounts of information. However, because of uneven distribution of track information, algorithms often cause problems such as excessive segmentation, and segmentation results are less than ideal. This paper proposes a segmentation method based on time-domain difference for the entire track. The method performs differential processing on speed in the time domain; because of frequent fluctuations in speed, influence of the segmentation result is effectively reduced. It normalizes path loss and speed fluctuation of the differential track, time step of track difference is determined dynamically, and finally, the track is divided by the rate threshold. Track of the 29th Antarctic expedition was segmented using the time-domain difference method and the classic Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm. Results from the time-domain difference method can effectively reduce excessive track segmentation, and are better than those obtained from DBSCAN in accuracy and time efficiency of track segmentation.
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    Advances of using highly branched isoprenoids (HBIs) as a polar sea ice proxy
    Wu Jiaqi, Zhao Jun, Han Zhengbing, Li Dong, Zhang Haifeng, Fan Gaojing, Guo Xiaoze, Jin Haiyan, Pan Jianming, Zhang Haisheng
    2020, 32 (1):  121-131.  DOI: 10.13679/j.jdyj.20190004
    Abstract ( 653 )   PDF (1553KB) ( 904 )  

    Understanding long-term sea ice variations is crucial for reconstruction of past climate and prediction of future climate. Recently, highly branched isoprenoids (HBIs), which is an organic geochemical lipid biomarker, has been proposed as a possible indicator of polar sea ice conditions. Mono-HBI (IP25) and dine-HBI (IPSO25), which are produced by diatoms living in association with seasonal sea ice, have been considered as potential measures of Arctic and Antarctic sea ice, respectively. In this paper, we summarize the research on polar sea ice reconstruction using HBIs. These include verification of proxies, factors influencing effectiveness of proxies, and development and application of indices to categorize sea ice conditions and reconstruct sea ice concentration quantitatively. We also highlight research gaps and propose future research directions in this field.

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    Monograph series of Progress in Chinese Polar Scientific Research for 30 Years
    LIU Ruiyuan
    2020, 32 (1):  132-132. 
    Abstract ( 572 )   PDF (151KB) ( 754 )  
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