scholarly journals Regional unevenness of the summer warming in the continental Arctic as an indicator of natural boundaries of northern landscapes

2021 ◽  
Vol 11 (3) ◽  
pp. 386-396
Author(s):  
T.B. Titkova ◽  
◽  
A.N. Zolotokrylin ◽  

The authors have revealed the features of summer warming in different sectors of the Russian Arctic zone in the modern period and the near future. In connection with the considered features of the summer warming within 1991—2018, the researchers present a unique analysis of the inter-decade distribution of trends in the characteristics of the natural zones surface (vegetation index, total evapotranspiration, surface temperature, albedo). Changes in climatic conditions provide prerequisites for a change in the spectral characteristics of landscape zones, especially in the central sector of the Russian Arctic zone.

2020 ◽  
Vol 10 (1) ◽  
pp. 69-82
Author(s):  
Alexey Zverev ◽  
Alexey Petrov ◽  
Anastasia Kimeklis ◽  
Arina Kichko ◽  
Evgeny Andronov ◽  
...  

The microbiome of initial soils formed at the heaps and bottoms of surface sediment quarries in the surroundings of Yakutsk City(Eastern Siberia,Russia) has been characterized for the first time. In the initial Entisols, we detected Alphaproteobacteria (represented mainly by the family Rizobiales), Gammaproteobacteria, Actinobacteria, Acidobacteria, Bacteroidetes (mostly Chitinophagales), Deltaproteobacteria, and Chloroflexi. The lower soil horizons had a more homogenous species diversity taxonomy that was dominated by Gammaproteobacteria. The morphologically different horizons did not differ microbiologically. This is caused by the limited soil development and relatively slow rate of revegetation of the spoil banks and heaps of the quarries under the severe climatic conditions of the Eastern part of Russian Arctic zone. Based on our findings, we propose that the soil microbiomes in such recently abandoned quarries are characterized by low diversity, which is a characteristic feature of the polar soils surrounding Yakutsk. Data obtained can be used for elaboration of reclamation strategies with taking into account the information about key microbial drivers of soil processes.


2019 ◽  
Vol 97 ◽  
pp. 01036 ◽  
Author(s):  
Ilya Dunichkin ◽  
Clarice Bleil de Souza ◽  
Konstantin Bogachev ◽  
Anna Korobeynikova ◽  
Natalia Shchekaturova

Intensive development is carried out in the Arctic zone of the Russian Federation (AZRF) with complex modernization of transport networks and infrastructure of various types through the design, construction of Multifunctional Residential Unit (MRU) and the reconstruction of existing terminals and stations. The problem of developing new and reconstructing existing infrastructure in the Arctic has not only socio-economic, technological and planning components but fundamentally any development needs to account for extreme climatic conditions which affect urban conception and operation. This paper focuses on discussing important features of MRU developments. It shows examples of two case studies of MRU settlements considering the challenges involved in their design, further expanding the discussion in relation to the inclusion of green spaces in these settlements as well as in relation to safety and protection of pedestrians, moving between different buildings in ‘enclosed’ roads.


2021 ◽  
Vol 11 (3) ◽  
pp. 449-457
Author(s):  
A.V. Bezhan ◽  

The author provides information on the current state and prospects for the development of wind energy in the Murmansk region. He outlines the role of wind energy in the formation of conditions for the social and economic development of the region. The author proves that the Murmansk region has all the prerequisites to become a place for developing the most modern technologies for manufacturing key elements of wind turbines (WT) designed to operate in the harsh climatic conditions of the Russian Arctic zone (AZRF). The region can be a basic testing ground for the introduction and study of innovative technological solutions for the construction of WT, which in the future can be used throughout the AZRF. At the same time, the Murmansk region can be given a special place in the issue of training highly qualified specialists in the field of design, construction and operation of WT. In turn, the presence of a high scientific and educational potential in the Murmansk region will contribute to the success of these areas of development of the region.


2019 ◽  
pp. 3-20
Author(s):  
V.N. Leksin

The impact on healthcare organization on the territory of Russian Arctic of unique natural and climatic, demographic, ethnic, settlement and professional factors of influencing the health of population, constantly or temporarily living on this territory is studied. The necessity is substantiated of various forms and resource provision with healthcare services such real and potential patients of Arctic medical institutions, as representatives of indigenous small peoples of the North, workers of mining and metallurgical industry, military personnel, sailors and shift workers. In this connection a correction of a number of All-Russian normative acts is proposed.


2021 ◽  
Vol 13 (11) ◽  
pp. 2060
Author(s):  
Trylee Nyasha Matongera ◽  
Onisimo Mutanga ◽  
Mbulisi Sibanda ◽  
John Odindi

Land surface phenology (LSP) has been extensively explored from global archives of satellite observations to track and monitor the seasonality of rangeland ecosystems in response to climate change. Long term monitoring of LSP provides large potential for the evaluation of interactions and feedbacks between climate and vegetation. With a special focus on the rangeland ecosystems, the paper reviews the progress, challenges and emerging opportunities in LSP while identifying possible gaps that could be explored in future. Specifically, the paper traces the evolution of satellite sensors and interrogates their properties as well as the associated indices and algorithms in estimating and monitoring LSP in productive rangelands. Findings from the literature revealed that the spectral characteristics of the early satellite sensors such as Landsat, AVHRR and MODIS played a critical role in the development of spectral vegetation indices that have been widely used in LSP applications. The normalized difference vegetation index (NDVI) pioneered LSP investigations, and most other spectral vegetation indices were primarily developed to address the weaknesses and shortcomings of the NDVI. New indices continue to be developed based on recent sensors such as Sentinel-2 that are characterized by unique spectral signatures and fine spatial resolutions, and their successful usage is catalyzed with the development of cutting-edge algorithms for modeling the LSP profiles. In this regard, the paper has documented several LSP algorithms that are designed to provide data smoothing, gap filling and LSP metrics retrieval methods in a single environment. In the future, the development of machine learning algorithms that can effectively model and characterize the phenological cycles of vegetation would help to unlock the value of LSP information in the rangeland monitoring and management process. Precisely, deep learning presents an opportunity to further develop robust software packages such as the decomposition and analysis of time series (DATimeS) with the abundance of data processing tools and techniques that can be used to better characterize the phenological cycles of vegetation in rangeland ecosystems.


Forests ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 76
Author(s):  
Yahui Guo ◽  
Jing Zeng ◽  
Wenxiang Wu ◽  
Shunqiang Hu ◽  
Guangxu Liu ◽  
...  

Timely monitoring of the changes in coverage and growth conditions of vegetation (forest, grass) is very important for preserving the regional and global ecological environment. Vegetation information is mainly reflected by its spectral characteristics, namely, differences and changes in green plant leaves and vegetation canopies in remote sensing domains. The normalized difference vegetation index (NDVI) is commonly used to describe the dynamic changes in vegetation, but the NDVI sequence is not long enough to support the exploration of dynamic changes due to many reasons, such as changes in remote sensing sensors. Thus, the NDVI from different sensors should be scientifically combined using logical methods. In this study, the Global Inventory Modeling and Mapping Studies (GIMMS) NDVI from the Advanced Very High Resolution Radiometer (AVHRR) and Moderate-resolution Imaging Spectroradiometer (MODIS) NDVI are combined using the Savitzky–Golay (SG) method and then utilized to investigate the temporal and spatial changes in the vegetation of the Ruoergai wetland area (RWA). The dynamic spatial and temporal changes and trends of the NDVI sequence in the RWA are analyzed to evaluate and monitor the growth conditions of vegetation in this region. In regard to annual changes, the average annual NDVI shows an overall increasing trend in this region during the past three decades, with a linear trend coefficient of 0.013/10a, indicating that the vegetation coverage has been continuously improving. In regard to seasonal changes, the linear trend coefficients of NDVI are 0.020, 0.021, 0.004, and 0.004/10a for spring, summer, autumn, and winter, respectively. The linear regression coefficient between the gross domestic product (GDP) and NDVI is also calculated, and the coefficients are 0.0024, 0.0015, and 0.0020, with coefficients of determination (R2) of 0.453, 0.463, and 0.444 for Aba, Ruoergai, and Hongyuan, respectively. Thus, the positive correlation coefficients between the GDP and the growth of NDVI may indicate that increased societal development promotes vegetation in some respects by resulting in the planting of more trees or the promotion of tree protection activities. Through the analysis of the temporal and spatial NDVI, it can be assessed that the vegetation coverage is relatively large and the growth condition of vegetation in this region is good overall.


Author(s):  
Yi-Ta Hsieh ◽  
Shou-Tsung Wu ◽  
Chaur-Tzuhn Chen ◽  
Jan-Chang Chen

The shadows in optical remote sensing images are regarded as image nuisances in numerous applications. The classification and interpretation of shadow area in a remote sensing image are a challenge, because of the reduction or total loss of spectral information in those areas. In recent years, airborne multispectral aerial image devices have been developed 12-bit or higher radiometric resolution data, including Leica ADS-40, Intergraph DMC. The increased radiometric resolution of digital imagery provides more radiometric details of potential use in classification or interpretation of land cover of shadow areas. Therefore, the objectives of this study are to analyze the spectral properties of the land cover in the shadow areas by ADS-40 high radiometric resolution aerial images, and to investigate the spectral and vegetation index differences between the various shadow and non-shadow land covers. According to research findings of spectral analysis of ADS-40 image: (i) The DN values in shadow area are much lower than in nonshadow area; (ii) DN values received from shadowed areas that will also be affected by different land cover, and it shows the possibility of land cover property retrieval as in nonshadow area; (iii) The DN values received from shadowed regions decrease in the visible band from short to long wavelengths due to scattering; (iv) The shadow area NIR of vegetation category also shows a strong reflection; (v) Generally, vegetation indexes (NDVI) still have utility to classify the vegetation and non-vegetation in shadow area. The spectral data of high radiometric resolution images (ADS-40) is potential for the extract land cover information of shadow areas.


2017 ◽  
Vol 3 (1) ◽  
pp. 27
Author(s):  
Ticiano Gomes do Nascimento ◽  
Euridice Farias Falcão ◽  
Maria Cristina Delgado da Silva ◽  
Josicleide Nascimento Oliveira Silvino ◽  
Pierre Barnabé Escodro ◽  
...  

This study aimed to evaluate the influence of the climatology of the semi-arid from Alagoas-Brazil on the raw milk microbiota in semi-arid area of the 07 micro-regions of the State of Alagoas of Alagoas, Brazil. The climatic data were extracted from National Institute of Meteorology from the Brazilian government. The raw milk was collected after the dairy cow milking process in 12 small rural associations of the semi-arid from the State of Alagoas, during the 4 seasons and the raw milk was carried out procedures of sampling, transportation and microbiological analysis. A total of 58 samples were counted coliforms at 45°C, <em>Escherichia coli</em> and coagulase-positive <em>Staphylococcus</em>. Only 02 rural associations presented low levels of microbiological contamination, which were located in areas of climatic conditions and parameters of thermal comfort index and vegetation index favorable, but 10 rural associations presented high counting of coliforms at 45°C, <em>Escherichia coli</em>. The climatologic parameters (maximum temperature, atmospheric pressure), bovine comfort thermal index and vegetation index have showed to influence the growth of the coliforms at 45°C and <em>Escherichia coli</em> with high incidence during the summer weather. The precipitation parameter, bovine thermal comfort and vegetation index have displayed to influence coagulase-positive<em> Staphylococcus</em> counting especially during the period between the summer end and the autumn beginning seasons. New Actions, and Rural Education and Health Programs should be implemented as politics of Food Safety. New strategies and programs for dissemination more effective on the risks of transmission of pathogens and Foodborne Diseases are necessary as the part of emergence politics of the health and education areas. Regulatory Actions should be encouraged within the processes that improve the quality control of raw milk as well its bioproducts, with professional assistance relevant in agriculture area.


Author(s):  
Valery Zhuravel ◽  

The Arctic has always been in the field of close attention of the Russian leadership. This was especially true in 2020. This year, a number of important strategic planning documents were adopted that define the country’s state policy in the Arctic zone for the next 15 years. These are: The Fundamentals of State policy in the Arctic Zone until 2035 and the Strategy for the development of the Russian Federation’s Arctic zone and ensuring national security for the period up to 2035. In parallel, work continued improving the federal authorities activities on the exploration and development of the Arctic. New members of the State Commission for Arctic development approved including their powers expanded. The newly formed Ministry of the Russian Federation for development of the Far East and the Arctic has begun its activity. Simultaneously, the Government decided on the extension of the Far East development institutions competence in the Arctic zone. The attention of the public was drawn to the planned major infrastructure projects in all the subjects of the Russian Arctic. The author, drawing attention to a wide list of planned major arctic infrastructure projects in all the subjects of the Russian Arctic zone, expresses doubts about the possibility of their implementation, taking into account the existing and potential difficulties. The article points to the need to use the experience in the advancement and development of the Arctic, acquired in 2020, during the Russian presidency of the Arctic Council in 2021–2023.


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