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  • 1
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Publishing Ltd
    Polar research 22 (2003), S. 0 
    ISSN: 1751-8369
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Geography , Geosciences
    Notes: Surface air temperature and precipitation records for the years 1958-1999 from ten meteorological stations located throughout West Siberia are used to identify climatic trends and determine to what extent these trends are potentially attributable to the Arctic Oscillation (AO). Although recent changes in atmospheric variability are associated with broad Arctic climate change, West Siberia appears particularly susceptible to warming. Furthermore, unlike most of the Arctic, moisture transport in the region is highly variable. The records show that West Siberia is experiencing significant warming and notable increases in precipitation, likely driven, in part, by large-scale Arctic atmospheric variability. Because this region contains a large percentage of the world's peatlands and contributes a significant portion of the total terrestrial freshwater flux to the Arctic Ocean, these recent climatic trends may have globally significant repercussions. The most robust patterns found are strong and prevalent springtime warming, winter precipitation increases, and strong association of non-summer air temperatures with the AO. Warming rates for both spring (0.5-0.8 °C/decade) and annual (0.3-0.5°C/decade) records are statistically significant for nine often stations. On average, the AO is linearly congruent with 96% (winter), 19% (spring), 0% (summer), 67% (autumn) and 53% (annual) of the warming found in this study. Significant trends in precipitation occur most commonly during winter, when four of ten stations exhibit significant increases (4-13 %/decade). The AO may play a lesser role in precipitation variability and is linearly congruent with only 17% (winter), 13% (spring), 12% (summer), 1% (autumn) and 26% (annual) of precipitation trends.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Teaching business ethics 4 (2000), S. 379-404 
    ISSN: 1573-1944
    Keywords: accounting ; context differences ; ethics ; ethical disposition ; gender ; students
    Source: Springer Online Journal Archives 1860-2000
    Topics: Philosophy , Economics
    Notes: Abstract Research into the ethical disposition of students hasbeen popular in recent years. However, research intothe ethical disposition of accounting students inparticular has been sparse. Because of the uniquecharacteristics of those who choose to enter the fieldof accounting, generalizing findings of businessstudents to accounting students may not be valid. Consequently, additional studies of accountingstudents are useful. This study investigates context (academic vs.business)-based and gender-based differences inaccounting students’ ethical intent. We find mixedsupport for gender-based mean differences; theseresults are consistent across context. With regard tocontext we find a greater variability in respondents’behavioral intent in an academic context relative toa business context. We also find gender-baseddifferences in how ethical issues are grouped (thatis, the perceived cognitive structure of ethicalissues). Implications of these findings are discussedwith particular interest relative to education.
    Type of Medium: Electronic Resource
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  • 3
    Publication Date: 2024-05-14
    Description: The pan-Arctic Permafrost-Region Lake-DOC version1 database contains surface water samples of lakes in the permafrost regions of Alaska (49.3 %), Canada (24.2 %), Greenland (3.2 %) and Siberia (23.3 %). It includes concentrations of dissolved organic carbon (DOC) for each of the 1,833 lakes of our synthesis dataset. The lakes of the dataset are located in permafrost regions between 59.2° and 82.5° northern latitude and were sampled between the years 1979 and 2017. We synthesised published datasets and unpublished samples from the author team. We assigned the following information to each lake using existing secondary environmental parameter datasets: - permafrost zone (Brown et al., 1997; Jorgenson et al., 2008), - ecoregion (Olson et al., 2004), - deposit type (Fulton, 1995; Nielsen, 2010; Petrov et al., 2014; Strauss et al., 2016), - ground ice content (Brown et al., 1997; Jorgenson et al., 2008), and - soil organic carbon content (Hugelius et al., 2014). The lakes cover the full range of permafrost extent from the isolated permafrost to continuous permafrost zone. They are located in the boreal forest ecoregion, in the tundra ecoregion and in the boreal-tundra transition zone. For a regionalization we subdivided the data into 13 study areas (22 sites).
    Keywords: 11B; 13B; 13-TY-01_01-2; 13-TY-02_01-2; 13-TY-03_01-2; 13-TY-04_01-2; 13-TY-05_01-2; 13-TY-06; 13-TY-07; 13-TY-08; 13-TY-09; 13-TY-10_01-2; 13-TY-11; 13-TY-12; 13-TY-13; 13-TY-14; 13-TY-15_01-2; 13-TY-16; 13-TY-17; 13-TY-18; 13-TY-19; 13-TY-20; 13-TY-21; 13-TY-22; 13-TY-23; 13-TY-24; 13-TY-25; 13-TY-26_01-2; 13-TY-27_01-2; 13-TY-28_01-2; 13-TY-29_01-2; 13-TY-30_01-2; 13-TY-31_01-2; 13-TY-32_01-2; 14B; 15B; 16B; 16-KP-01-L01_A-B; 16-KP-01-L02-A-B; 16-KP-01-L03-2; 16-KP-01-L04-2; 16-KP-01-L05; 16-KP-02-L06; 16-KP-02-L07; 16-KP-02-L08; 16-KP-02-L09; 16-KP-02-L11; 16-KP-02-L12; 16-KP-02-L13; 16-KP-02-L14; 16-KP-02-L15; 16-KP-02-L16; 16-KP-02-L18; 16-KP-02-L19-2_A-B; 16-KP-02-L20_A-B; 16-KP-02-L22-3; 16-KP-03-L10-1-3; 18B; after NCSCDv2 (Hugelius et al., 2014); AK-Land_2016_NorthwestAlaska; Alaska; Area/locality; AWI_Envi; AWI_Perma; AWI Arctic Land Expedition; BAL16-DTLB-CBL; BAL16-DTLB-pond; BAL16-UPL1-W1; BYK16_SW_01; BYK16_SW_02; BYK16_SW_03; BYK16_SW_04; BYK16_SW_06; BYK16_SW_07; BYK16_SW_08; BYK16_SW_09; BYK16_SW_10; BYK16_SW_11; BYK16_SW_12; BYK16_SW_13; BYK16_SW_14; BYK16_SW_15; BYK16_SW_20; BYK16_SW_21; BYK16_SW_22; BYK16_SW_23; BYK16_SW_24; BYK16_SW_25; BYK16_SW_26; BYK16_SW_27; BYK16_SW_28; BYK16_SW_29; BYK16_SW_30; BYK16_SW_31; BYK16_SW_32; BYK16_SW_33; BYK16_SW_34; BYK16_SW_35; BYK16_SW_36; BYK16_SW_37; BYK16_SW_38; BYK16_SW_39; BYK16_SW_40; CA-Land_2012_YukonCoast; CA-Land_2012_YukonCoast_KOM12-H20-2-1m; CA-Land_2012_YukonCoast_LH_2012; CA-Land_2012_YukonCoast_SP_H2O_1-1m; CA-Land_2013_YukonCoast; CA-Land_2013_YukonCoast_11B; CA-Land_2013_YukonCoast_13B; CA-Land_2013_YukonCoast_14B; CA-Land_2013_YukonCoast_15B; CA-Land_2013_YukonCoast_16B; CA-Land_2013_YukonCoast_18B; CA-Land_2014_YukonCoast; CA-Land_2015_YukonCoast; Campaign; Canada; Carbon, organic, dissolved; Changing Permafrost in the Arctic and its Global Effects in the 21st Century; CSP16-L-10-W1; CSP16-L-1-W1; CSP16-L-31-W1; CSP16-L-4-W1; CSP16-L-5-W1; CSP16-L-7-W1; CSP16-SAL-W1; Deposit type; DLP-Pond_14-1; DLP-Pond_14-2; DLP-Pond_14-3; DLP-Pond_14-4; DLP-Pond_14-5; DLP-Pond 14-1; DLP-Pond 14-2; DLP-Pond 14-3; DLP-Pond 14-4; DLP-Pond 14-5; Ecoregion; Event label; Ground ice content, description; HAND; Keperveem_2016; KOB16-T1-W1; KOB16-T2-W1; KOB16-T6-W1; KOB16-T6-W2; KOB16-T6-W3; KOB16-T6-W4; KOB16-T6-W5; KOB16-T7-W1; KOB16-T7-W2; KOB16-T7-W3; KOB16-T7-W4; KOB16-T7-W5; KOB16-UPL1-W1; KOB16-UPL2-W1; KOM12-H20-2-1m; KUR16_W_03; KUR16_W_04; KUR16_W_05; KUR16_W_10; KUR16_W_11; KUR16_W_13; KUR16_W_14; KUR16_W_16; KUR16_W_18; KUR16_W_19; KUR16_W_24; KUR16-W-53; LATITUDE; LD13_A_06; LD13_A_10; LD13_A_12; LD14_A_05; LD14_A_09; LD14_A_11; LD14_A_38; LD14_A_39; LD14_A_72; LD14_A_76; LD14_A_78; LD14_B_01; LD14_B_02; LD14_B_05; LD14_B_06; LD14_B_07; LD14_B_08; LD14_B_09; LD14_B_10; LD14_B_11; LD14_B_12; LD14_B_13; LD14_B_14; LD14_B_15; LD14_B_16; LD14_B_17; LD14_B_18; LD14_B_19; LD14_B_21; LD14_B_22; LD14_B_23; LD14_B_24; LD14_B_25; LD14_B_26; LD14_T_18; LD14_T_21; LD14_T_24; Lena2013; Lena2016_spring, Lena2016_summer; Lena Delta, Siberia, Russia; LH 2012; LK-001; LK-003; LK-004; LK-006; LK-007; LK-008; LK-010; LK-012; LK-013; LK-014; LK-015; LK-016; LK-017; LK-018; LK-019; LK-020; LK-025; LK-026; LK-027; LK-028; LK-029; LK-031; LK-033; LK-034; LONGITUDE; MULT; Multiple investigations; NOA16-T3-W1; NOA16-T3-W2; NOA16-T4-W1; NSP16-DMM-L1-W1; NSP16-DMM-L1-W2; NSP16-NKM-W1; NSP16-PRP-W1; NSP16-RHL-W1; NSP16-SKM-W1; NSP16-TIL-W1; NSP16-UPP-W1; NSP16-W1; NSP16-W2; NSP16-WFM-W1; NSP16-YEP-W1; NUNATARYUK; NUNATARYUK, Permafrost thaw and the changing Arctic coast, science for socioeconomic adaptation; NWAlaska2016; Organic carbon, soil; PAGE21; Permafrost Research; PETA-CARB; Polar Terrestrial Environmental Systems @ AWI; Pond_Micha_Kom_Glas_3; Pond_Micha_Nun_Glas_4; Pond Micha Kom Glas 3; Pond Micha Nun Glas 4; Rapid Permafrost Thaw in a Warming Arctic and Impacts on the Soil Organic Carbon Pool; Reference/source; Region, genetic; RU-Land_2013_Lena; RU-Land_2013_Taymyr; RU-Land_2014_Lena; RU-Land_2015_Yamal; RU-Land_2015_Yamal_LK-001; RU-Land_2015_Yamal_LK-003; RU-Land_2015_Yamal_LK-004; RU-Land_2015_Yamal_LK-006; RU-Land_2015_Yamal_LK-007; RU-Land_2015_Yamal_LK-008; RU-Land_2015_Yamal_LK-010; RU-Land_2015_Yamal_LK-012; RU-Land_2015_Yamal_LK-013; RU-Land_2015_Yamal_LK-014; RU-Land_2015_Yamal_LK-015; RU-Land_2015_Yamal_LK-016; RU-Land_2015_Yamal_LK-017; RU-Land_2015_Yamal_LK-018; RU-Land_2015_Yamal_LK-019; RU-Land_2015_Yamal_LK-020; RU-Land_2015_Yamal_LK-025; RU-Land_2015_Yamal_LK-026; RU-Land_2015_Yamal_LK-027; RU-Land_2015_Yamal_LK-028; RU-Land_2015_Yamal_LK-029; RU-Land_2015_Yamal_LK-031; RU-Land_2015_Yamal_LK-033; RU-Land_2015_Yamal_LK-034; RU-Land_2016_Keperveem; RU-Land_2016_Lena; Sample ID; Sampling by hand; Sampling date; SEL16-T1-W1; SEL16-T2-L1; SEL16-T2-W1; SEL16-T2-W2; Siberia; Site; SOB14_A_16; SOB14_A_31; SOB14_A_32; SOB14_A_33; SOB16_SW_01; SOB16_SW_02; SOB16_SW_03; SOB16_SW_05; SOB16_SW_07; SOB16_SW_08; SOB16_SW_10; SOB16_SW_11; SOB16_SW_12; SOB16_SW_14; SOB16_SW_15; SOB16_SW_16; SP-14-01; SP-14-02; SP-14-03; SP-14-04; SP-14-05; SP-14-06; SP-14-07; SP-14-08; SP-14-09; SP-14-10; SP-14-11; SP-14-12; SP-14-13; SP-14-14; SP-14-15; SP H2O 1-1m; State of permafrost; Taymyr2013; Tschukotka, Sibiria, Russia; Water sampler, UWITEC; WSUWI; Yamal2015; YC15_Pond_KOM; Yukon_Coast_2012; Yukon_Coast_2013; Yukon_Coast_2014; Yukon_Coast_2015
    Type: Dataset
    Format: text/tab-separated-values, 34446 data points
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  • 4
    Publication Date: 2015-08-01
    Print ISSN: 0079-6611
    Electronic ISSN: 1873-4472
    Topics: Geosciences , Physics
    Published by Elsevier
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  • 5
  • 6
  • 7
    Publication Date: 2011-09-19
    Print ISSN: 0143-1161
    Electronic ISSN: 1366-5901
    Topics: Architecture, Civil Engineering, Surveying , Geography
    Published by Taylor & Francis
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  • 8
    Publication Date: 2013-01-24
    Print ISSN: 0916-8370
    Electronic ISSN: 1573-868X
    Topics: Geosciences , Physics
    Published by Springer
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  • 9
    Publication Date: 2020-09-24
    Description: Spatial and temporal trends of remotely sensed sea-ice cover, sea surface temperatures, chlorophyll-a concentration and primary production in the Baffin Bay, Davis Strait and Labrador Sea were analyzed for the 1998–2017 period. We found spatial variability in the trends of these cryospheric, biologic and oceanographic phenomena. For example, in the northern Baffin Bay, we observed decreases in annual sea-ice persistence, yet increases along the Labrador Sea-ice edge during winter, with the latter having significant correlations with broader atmospheric patterns. In general, we observed increases in summer sea surface temperatures across the study region, except a small area of cooling along the southern Greenlandic coast. We also found significant negative trends in April chlorophyll-a and primary production followed by significant positive trends for both biological phenomena in May, owing to anomalously high values in 2014 and 2015. Notably, we found a significant positive correlation between days of monthly sea ice presence in April with May primary production quantities. Finally, we found a significant positive trend in total annual primary production over the study period. This novel finding suggests an important relationship between the timing of breakup along the sea-ice edge and peaks in biological production.
    Print ISSN: 0260-3055
    Electronic ISSN: 1727-5644
    Topics: Geography , Geosciences
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  • 10
    Publication Date: 2014-01-24
    Description: The climate of West Antarctica is strongly influenced by remote forcing from the tropical Pacific. For example, recent surface warming over West Antarctica reflects atmospheric circulation changes over the Amundsen Sea, driven by an atmospheric Rossby wave response to tropical sea surface temperature (SST) anomalies. Here, it is demonstrated that tropical Pacific SST anomalies also influence the source and transport of marine-derived aerosols to the West Antarctic Ice Sheet. Using records from four firn cores collected along the Amundsen coast of West Antarctica, the relationship between sea ice–modulated chemical species and large-scale atmospheric variability in the tropical Pacific from 1979 to 2010 is investigated. Significant correlations are found between marine biogenic aerosols and sea salts, and SST and sea level pressure in the tropical Pacific. In particular, La Niña–like conditions generate an atmospheric Rossby wave response that influences atmospheric circulation over Pine Island Bay. Seasonal regression of atmospheric fields on methanesulfonic acid (MSA) reveals a reduction in onshore wind velocities in summer at Pine Island Bay, consistent with enhanced katabatic flow, polynya opening, and coastal dimethyl sulfide production. Seasonal regression of atmospheric fields on chloride (Cl−) reveals an intensification in onshore wind velocities in winter, consistent with sea salt transport from offshore source regions. Both the source and transport of marine aerosols to West Antarctica are found to be modulated by similar atmospheric dynamics in response to remote forcing. Finally, the regional ice-core array suggests that there is both a temporally and a spatially varying response to remote tropical forcing.
    Print ISSN: 0894-8755
    Electronic ISSN: 1520-0442
    Topics: Geography , Geosciences , Physics
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