scholarly journals Classification of the Tatra Mountain lakes in terms of the duration of their ice cover (Poland and Slovakia)

2019 ◽  
Vol 79 (1) ◽  
Author(s):  
Bogdan Gadek ◽  
Mirosław Szumny ◽  
Bartłomiej Szypuła
Keyword(s):  
Climate Change ◽  
Ice Cover ◽  
Individual Characteristics ◽  
Freezing And Thawing ◽  
Digital Elevation ◽  
Mountain Environment ◽  
Elevation Model ◽  
The Impact ◽  
The Relationship

This paper presents the results of a classification of the Tatra lakes based on the duration of their ice cover, altitude, volume, and potential incoming solar radiation (PISR). It is embedded in the context of the impact of current climate change on the mountain environment. A digital elevation model, morphometric data, satellite imagery from the winter seasons of 2015-2017 and the Wrocław taxonomy method were used in the study. It was found that the order of freezing and thawing of the lakes investigated may change from year to year. The relationship between ice cover duration and altitude is clearly weakened by variations in lake volumes, with insolation having a noticeably lesser effect. Determining the duration of ice cover of the lakes over several seasons facilitates identifying the similarities and dissimilarities between them. Five groups of lakes displaying similar characteristics were identified as well as 2 groups of lakes with highly individual characteristics. Based on the data obtained, it can be concluded that the duration of ice cover on the Tatra lakes has been shortening noticeably over the last 100 years. Small high-altitude lakes seem to be most vulnerable to climate change.

scholarly journals Formation of an Export-Oriented Agricultural Economy and Regional Open Innovations

2021 ◽  
Vol 7 (1) ◽  
pp. 32
Author(s):  
Victor L. Shabanov ◽  
Marianna Ya Vasilchenko ◽  
Elena A. Derunova ◽  
Andrey P. Potapov
Keyword(s):  
Agricultural Economy ◽  
Institutional Management ◽  
Agricultural Exports ◽  
Modeling Methodology ◽  
Fixed Assets ◽  
Analysis Application ◽  
The Impact ◽  
The Relationship

The aim of the work is to find relevant indicators for assessing the relationship between investments in fixed assets in agriculture, gross output of the industry, and agricultural exports using tools for modeling the impact of innovation and investment development on increasing production and export potential in the context of the formation of an export-oriented agricultural economy. The modeling methodology and the proposed estimating and forecasting tools for diagnosing and monitoring the state of sectoral and regional innovative agricultural systems are used to analyze the relationship between investments in fixed assets in agriculture, gross output of the industry, and agricultural exports based on the construction of the classification of Russian regions by factors that aggregate these features to diagnose incongruence problems and to improve institutional management in regional innovative export-oriented agrosystems. Based on the results of the factor analysis application, an underestimated role of indicators of investment in agriculture, the intensity and efficiency of agricultural production, were established. Based on the results of the cluster analysis, the established five groups of regions were identified, with significant differences in the level of investment in agriculture, the volume of production of the main types of agricultural products, and the export and exported food. The research results are of practical value for use in improving institutional management when planning reforms and transformations of regional innovative agrosystems.

Farmers’ Capacity and Rice Productivity in Climate Change Adaptation in Central Lampung Regency, Indonesia

2021 ◽  
Vol 11 (4) ◽  
pp. 346-353
Author(s):  
Indah Listiana ◽  
Indah Nurmayasari ◽  
Rinaldi Bursan ◽  
Muher Sukmayanto ◽  
Helvi Yanfika ◽  
...  
Keyword(s):  
Climate Change ◽  
Climate Change Adaptation ◽  
Agricultural Sector ◽  
Rank Correlation ◽  
Performance Level ◽  
Crop Failure ◽  
Rice Productivity ◽  
Spearman Rank Correlation Analysis ◽  
The Impact ◽  
The Relationship

Climate change is an extreme natural change condition due to global warming that cannot be avoided, and will have a broad impact on various aspects of life, including the agricultural sector. The impact of climate change that occurs in the agricultural sector, namely flood and drought that cause plants to crop failure , is becoming greater, causing significant reduction in agricultural production, especially rice, requiring that farmers have the ability to adapt to climate change. The purposes of this study are to analyze the relationship between the performance level of agricultural extension workers and the capacity level of farmers in regard to climate change adaptation, and to analyze the relationship between the level of farmer capacity in climate change adaptation and rice productivity. The research was conducted in Central Lampung Regency in 2019 using a total of 100 rice farmers. The data analysis method used is Spearman rank correlation analysis. The results show that the performance level of agricultural instructors is significantly related to the level of knowledge capacity, attitude, and skills of farmers in climate change adaptation. Knowledge capacity, attitude, and skills of farmers in climate change adaptation are significantly related to rice productivity.

scholarly journals How Does Urban Green Space Impact Residents’ Mental Health: A Literature Review of Mediators

2021 ◽  
Vol 18 (22) ◽  
pp. 11746
Author(s):  
Kaili Chen ◽  
Tianzheng Zhang ◽  
Fangyuan Liu ◽  
Yingjie Zhang ◽  
Yan Song
Keyword(s):  
Mental Health ◽  
Green Space ◽  
Urban Green Space ◽  
Individual Characteristics ◽  
Policy Implications ◽  
Space Planning ◽  
Urban Green ◽  
And Gender ◽  
The Impact ◽  
The Relationship

In recent years, the interest in the relationship between urban green space and residents’ mental health has gradually risen. A number of researchers have investigated the causal relationship and possible mediators between the two, although few have summarized these mediators. For this reason, we searched for relevant studies and filtered them by criteria and quality score, and analyzed the mediators and paths of the impact of urban green space on residents’ mental health. The mediators can be divided into environmental factors, outdoor activity, and social cohesion. From the perspective of heterogeneity, both individual characteristics (e.g., age and gender) and group characteristics (e.g., level of urban development and urban density) of residents are considered to be the cause of various mediating effects. Types of urban green space tend to affect residents’ mental health through different paths. Furthermore, this review discusses the details of each part under the influence paths. Finally, the policy implications for urban green space planning from three mediator levels are put forward based on an analysis of the situation in different countries.

scholarly journals Environmental classification of administrative units of the Ukrainian Carpathians

2014 ◽  
pp. 245-253
Author(s):  
Ivan Kruhlov
Keyword(s):  
Cluster Analysis ◽  
Standard Deviation ◽  
Satellite Images ◽  
Environmental Classification ◽  
Digital Elevation ◽  
Elevation Data ◽  
Digital Elevation Data ◽  
Administrative Units ◽  
Elevation Model

Boundaries of 43 administrative units (raions and oblast towns) were digitized and manually rectified using official schemes and satellite images. SRTM digital elevation data were used to calculate mean relative elevation and its standard deviation for each unit, as well as to delineate altitudinal bioclimatic belts and their portions within the units. These parameters were used to classify the units via agglomerative cluster analysis into nine environmental classes. Key words: cluster analysis, digital elevation model, geoecosystem, geo-spatial analysis.

scholarly journals German–Russian gas relations in face of the energy transition

2020 ◽  
Vol 6 (4) ◽  
pp. 406-423
Author(s):  
Kirsten Westphal
Keyword(s):  
Climate Change ◽  
Value Chain ◽  
Energy Transition ◽  
Legal Framework ◽  
Paradigm Shifts ◽  
Address Climate Change ◽  
Eu Member States ◽  
Russian Economy ◽  
The Impact ◽  
The Relationship

Russia is the world’s largest gas exporter and Germany is its most important market. Moreover, natural gas is a centerpiece of the Russian economy and the backbone of its energy supply to the Russian population. In terms of its external gas relations, Germany has always kept a special and strategic position, both in terms of volumes, but also in substance. This contribution explores the impact of the energy transition on the bilateral gas relationship. It argues that the bilateral gas relationship has been subjected to various paradigm shifts in the past, but, until recently, the relationship has been seen as in line with the strategic energy triangle of climate change/sustainability, supply security and economic competitiveness. This perception has come into question over two issues: climate change and supply security. Moreover, Germany’s authority over the conduct and the legal framework of bilateral gas relations has been increasingly contested, by Brussels, but also horizontally by other EU member states. At this stage, it is very uncertain whether both sides will manage to maintain and redefine their close energy partnership to address climate change. Decarbonizing the gas value chain would be a centerpiece. This would require a political shift away from securitization to decarbonization, not only in Germany, but even more so in the EU, and in particular, in Russia.

scholarly journals Effect of DEM Interpolation Neighbourhood on Terrain Factors

2019 ◽  
Vol 8 (1) ◽  
pp. 30 ◽  
Author(s):  
Ying Zhu ◽  
Xuejun Liu ◽  
Jing Zhao ◽  
Jianjun Cao ◽  
Xiaolei Wang ◽  
...  
Keyword(s):  
Interpolation Method ◽  
Simulated Data ◽  
Topographic Features ◽  
Structure And Morphology ◽  
Digital Elevation ◽  
Different Types ◽  
Slope Error ◽  
Elevation Model ◽  
The Impact ◽  
Mls Method

Topographic factors such as slope and aspect are essential parameters in depicting the structure and morphology of a terrain surface. We study the effect of the number of points in the neighbourhood of a digital elevation model (DEM) interpolation method on mean slope, mean aspect, and RMSEs of slope and aspect from the interpolated DEM. As the moving least squares (MLS) method can maintain the inherent properties and other characteristics of a surface, this method is chosen for DEM interpolation. Three areas containing different types of topographic features are selected for study. Simulated data from a Gauss surface is also used for comparison. First, the impact of the number of points on the DEM root mean square error (RMSE) is analysed. The DEM RMSE in the three study areas decreases gradually with the number of points in the neighbourhood. In addition, the effect of the number of points in the neighbourhood on mean slope and mean aspect was studied across varying topographies through regression analysis. The two variables respond differently to changes in terrain. However, the RMSEs of the slope and aspect in all study areas are logarithmically related to the number of points in the neighbourhood and the values decrease uniformly as the number of points in the neighbourhood increases. With more points in the neighbourhood, the RMSEs of the slope and aspect are not sensitive to topography differences and the same trends are observed for the three studied quantities. Results for the Gauss surface are similar. Finally, this study analyses the spatial distribution of slope and aspect errors. The slope error is concentrated in ridges, valleys, steep-slope areas, and ditch edges while the aspect error is concentrated in ridges, valleys, and flat regions. With more points in the neighbourhood, the number of grid cells in which the slope error is greater than 15° is gradually reduced. With similar terrain types and data sources, if the calculation efficiency is not a concern, sufficient points in the spatial autocorrelation range should be analysed in the neighbourhood to maximize the accuracy of the slope and aspect. However, selecting between 10 and 12 points in the neighbourhood is economical.

Conception of Traditional Knowledge Database Based on Climate Change

2015 ◽  
Vol 743 ◽  
pp. 594-597
Author(s):  
Yu Huan Du ◽  
Cheng Wang ◽  
Lun Yin ◽  
Da Yuan Xue ◽  
Zhuo Ma Caiji
Keyword(s):  
Climate Change ◽  
Traditional Knowledge ◽  
Global Climate ◽  
Ecological Environment ◽  
Ecological Knowledge ◽  
Farming Practices ◽  
Knowledge Database ◽  
The Relationship ◽  
New System

Recent years, the studies on global climate change, local traditional knowledge (TK) – especially traditional ecological knowledge (TEK) have attracted a lot of attention. Local traditional knowledge can reflect the ethnic groups’ specific understandings of climate change and its impact. However, studies on the relationship between traditional knowledge and climate change have not achieved such significant result thus far. This paper examines the perspectives, knowledge, and classification of climate change based on local Tibetan traditional knowledge in Deqin County of Yunnan, China. It analyses the local actions how to “cope with” climate change, and further discusses the relationship between traditional knowledge and ecological environment. The suggestion to establish the database of climate change, then, there will be a new system if the database can be connected with TK database. From the new system, we can analyze and choose the appropriate farming practices and “climate-ready” crops to respond to different predicted weather.

Impact of Adulthood Stage and Social-Environmental Context on Body Mass Index and Physical Activity of Individuals With Intellectual Disability

2015 ◽  
Vol 53 (2) ◽  
pp. 100-113 ◽  
Author(s):  
Kelly Hsieh ◽  
Tamar Heller ◽  
Julie Bershadsky ◽  
Sarah Taub
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Intellectual Disability ◽  
Community Participation ◽  
Body Mass ◽  
Environmental Context ◽  
Individual Characteristics ◽  
Social Environmental ◽  
The Impact ◽  
The Relationship

Abstract Individuals with intellectual disability (ID) are at risk for obesity and physical inactivity. We analyzed a subset of 2009–2010 National Core Indicators (NCI) database to examine (1) the impact of three adulthood stages– younger (20–39 years), middle (40–59 years), and older (60 years and older) on Body Mass Index (BMI) and physical activity (PA); and (2) the relationship between social-environmental context (i.e., residence type, everyday choices, and community participation) and BMI and PA, with adjustment for individual characteristics of the adults with ID. Findings highlight the need to pay more attention to obesity by providing health education and emphasizing healthy choices. Results also suggest the importance of community participation as a way of promoting more physical activity.

scholarly journals Impact of Spatial Resolution of Digital Elevation Model on Landslide Susceptibility Mapping: A case Study in Kullu Valley, Himalayas

Geosciences ◽  
2019 ◽  
Vol 9 (8) ◽  
pp. 360 ◽  
Author(s):  
Sansar Raj ◽  
Thimmaiah
Keyword(s):  
Digital Elevation Model ◽  
Spatial Resolution ◽  
Landslide Susceptibility ◽  
Susceptibility Mapping ◽  
Landslide Susceptibility Mapping ◽  
Mountainous Regions ◽  
Digital Elevation ◽  
Kullu Valley ◽  
Elevation Model ◽  
The Impact

Landslides are one of the most damaging geological hazards in mountainous regions such as the Himalayas. The Himalayan region is, tectonically, the most active region in the world that is highly vulnerable to landslides and associated hazards. Landslide susceptibility mapping (LSM) is a useful tool for understanding the probability of the spatial distribution of future landslide regions. In this research, the landslide inventory datasets were collected during the field study of the Kullu valley in July 2018, and 149 landslide locations were collected as global positioning system (GPS) points. The present study evaluates the LSM using three different spatial resolution of the digital elevation model (DEM) derived from three different sources. The data-driven traditional frequency ratio (FR) model was used for this study. The FR model was used for this research to assess the impact of the different spatial resolution of DEMs on the LSM. DEM data was derived from Advanced Land Observing Satellite-1 (ALOS) Phased Array type L-band Synthetic Aperture Radar (PALSAR) ALOS-PALSAR for 12.5 m, the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global for 30 m, and the Shuttle Radar Topography Mission (SRTM) for 90 m. As an input, we used eight landslide conditioning factors based on the study area and topographic features of the Kullu valley in the Himalayas. The ASTER-Global 30m DEM showed higher accuracy of 0.910 compared to 0.839 for 12.5 m and 0.824 for 90 m DEM resolution. This study shows that that 30 m resolution is better suited for LSM for the Kullu valley region in the Himalayas. The LSM can be used for mitigation and future planning for spatial planners and developmental authorities in the region.

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