scholarly journals LAND CAPABILITY EVALUATION FOR THE EFFECTIVE LAND USE AND SOIL PROTECTION MEASURES IN DOBRICH REGION

2020 ◽  
pp. 63-72
Author(s):  
Vihra Stoinova ◽  
Diyana Nekova

An assessment of the suitability of the arable land in the Dobrich region for its effective agricultural use has been prepared using an eight rate classification where the land valuation strategy guarantees the conservation of natural resources, with particular attention to erosion as a limiting factor. Maps of the area with Land Capability evaluation classes for effective agricultural and erosion control land use and the actual risk of water erosion have been developed.This allows the use of an integrated approach to the definition of soil protection measures - taking into account both soil constraints (labeled with subclass land) and the need for prevention against erosion processes. A set of different soil protection practices is recommended, each determined according to the specific soil, topographical and climatic features of the studied area, determined by the class and subclass of the land and depending on the degree of erosion risk and the way of land use (defined by Physical Blocks, 2016). The agronomic assessments according to the soil and climate conditions of the main agricultural crops are lnked to the detailed large-scale database created in the GIS format and the most suitable places for their cultivation on the territory of the Dobrich region have been identified. The agronomic fitness of arable land for the cultivation of wheat, maize, peaches and vines is assessed. Maps for the degree of their agronomic fitness were prepared. It is clear that almost all of the entire territory has a very good and good land for cultivation of these crops.

Agrologia ◽  
2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Jeheskel Manuputty ◽  
Elia Y Gaspersz ◽  
Selwanus M Talakua

Tina Wai watershed area 48,132 ha, located in the South Buru and serves as a provider of water for the local community. Land Capability Evaluation and Tina Wai Watershed Land Use in South Buru, Maluku Province, has been performed in order to determine the land capability classification level, and determine the direction and pattern of land use in accordance with their respective land capability class. The research method is a survey method with a pattern of synthetic and analytical approach with a flexible range of observation following the change in shape of physiographic and land use. The results found that Tina has 6 Wai watershed land capability class, ie class III, IV, V, VI, VII, and VIII with factor inhibiting dominated by undulating slopes to very steep, erosion rates to very heavy weight, medium texture soil, permeability rather fast to slow, moderate sensitivity to erosion, rock gravel of moderate-to-many, and the threat of flooding rather frequently. Land capability class has the most extensive is the fourth grade with an area of 24.636 ha, or 51.19%. Referrals for agricultural land use is 29,184.75 ha or 61.89; for plantations, livestock and forest production by 8396.75 ha or 17.38%; for the protected forest of 6,941.25 ha or 14.42%; and for the nature reserves of 3036.00 ha or 6.31%.


1978 ◽  
Vol 10 (8) ◽  
pp. 915-921 ◽  
Author(s):  
S I Gordon

Researchers have attempted to incorporate environmental variables into the land-use planning process by use of several ranking and mapping formulations. Most of these are based on some type of classification scheme. More recently, multivariate statistical techniques have been utilized to classify land areas into groups with similar suitability for urban development. A test was made of one of these numerical taxonomic techniques on a data set from Medford Township, New Jersey, and the results analyzed in terms of the pros and cons of these methods. A group of 484 forty-acre grid cells with forty-two environmental variables was collapsed into a ten variable set for ten groups of grid cells having like characteristics. The analysis involved two steps, factor analysis followed by a euclidean-distance-classification algorithm. The results show that numerical taxonomy can greatly facilitate the analysis of large environmental data sets and can help to identify the ecological relationships in quantitative terms. However, the complexity of the statistical methods involved greatly limits the wide application of these techniques, and the use of numerical taxonomic results in land-capability evaluation cannot release the researcher from making many judgmental decisions.


2016 ◽  
Vol 5 (1) ◽  
pp. 1 ◽  
Author(s):  
Mahendra Harjianto ◽  
Naik Sinukaban ◽  
Suria Darma Tarigan ◽  
Oteng Haridjaja

2021 ◽  
Vol 2 ◽  
pp. 179-186
Author(s):  
Sani Jainudin ◽  
Rini Hazriani ◽  
Feira B. Arief ◽  
Ridwansyah Ridwansyah ◽  
Junaidi Junaidi

Sungai Jelayan Village is one of the villages in Kendawangan District, Ketapang Regency, which still has the potential for sustainable management. Evaluation of land capability is one of the efforts to overcome the reduction of land degradation. Land capability is an assessment of land units for particular uses, assessed from each inhibiting factor. This study aimed to determine the characteristics of the land according to the land capability parameter, assessed the land capability sub-class, and provided suggestions for land use based on the land capability sub-class in Sungai Jelayan Village. The research stages started from preparation, preliminary survey, determination of research location based on land units consisting of soil type, slope class, land use and there were 9 land units, and determination of observation points, as well as field observations and soil sampling, laboratory analysis, data processing and presentation of results. The results obtained 2 soil orders, namely Entisols and Inceptisols. The results of the land capability evaluation were divided into five land capability classes and sub-classes, namely class II-s, III-s, IV-w, V-w, and VIII-es. Improvement efforts or efforts to use land sustainably could be carried out in 5 ways, namely intensive cultivation, moderate cultivation, limited cultivation, nature reserves/protected forests, and intensive grazing.


2020 ◽  
Vol 12 (3) ◽  
pp. 339-348
Author(s):  
Vladimir TATARINTSEV ◽  
◽  
Leonid TATARINTSEV ◽  
Alex MATSYURA ◽  
Andrei BONDAROVICH ◽  
...  

The aim of the work was the landscape analysis of agricultural geographical landscapes in the Altai Territory and elaboration of measures aimed at the rational use of agricultural lands. Environmental and landscape (landscape) approach became the main method of scientific research used in the analysis of modern agricultural landscapes. The cartographic method, using GIS-technologies, made it possible to digitize the obtained materials. Synthesized maps of agro-ecological, natural and other zoning of territories are based on topographic, soil, geobotanical and other thematic maps made during land surveying during the field survey. Retrospective analysis, induction and deduction methods,analysis and synthesis, as well as the abstract-logic method were also used in the work. Our main result was the analysis of land use territory for agricultural enterprise in municipal district of Altai Krai. Exploration of lands indicates a pronounced plant-growing specialization of JSC “Pobeda” with a developed animal breeding direction. Limiting factors affecting the rational use of land are natural and climatic conditions, terrain,unsystematic anthropogenic activity and, as a result, the development of erosion processes. The degree of eroded and deflated arable land is more than 50%, hay and pasture lands are also very unstable. Landscapes have been typified, based on which eleven types of land have been identified and their geomorphological description has been carried out. The first five types of land can be used for agricultural production with limitations compensated by crop technology and erosion control measures, the sixth and seventh types require grassing and, in some cases,conservation, the eighth and ninth types can be partially used for pasture and area valorization; the remaining two are not suitable for agricultural use but should be potentially used for planting and forest management. As a result of the presented transformation of agricultural lands, the structure of cultivated areas has changed. The area of arable land decreased by 877 ha, and of pastures by 365 ha,while the area under hayfields, fallow lands, and forest lands increased by 295, 191, and 875 ha respectively. Low-productive lands were withdrawn from agriculture. We suggested that the sustainability of agricultural land use was mainly caused by the reduction of anthropogenic load and increase in ecological equilibrium of the territory.


2021 ◽  
Vol 101 (1) ◽  
pp. 31-47
Author(s):  
Marko Langovic ◽  
Slavoljub Dragicevic ◽  
Ivan Novkovic ◽  
Nenad Zivkovic ◽  
Radislav Tosic ◽  
...  

Riverbank erosion and lateral channel migration are important geomorphological processes which cause various landscape, socio-economic, and environmental consequences. Although those processes are present on the territory of Serbia, there is no available data about the soil loss caused by riverbank erosion for the entire country. In this study, the spatial and temporal dynamics of the riverbank erosion for the largest internal rivers in Serbia (Velika Morava, Zapadna Morava, Juzna Morava, Pek, Mlava, Veliki Timok, Kolubara) was assessed using remote sensing and GIS. The aim of this paper is to determine the total and average soil loss over large-scale periods (1923-2020), comparing data from the available sources (aerial photographs, satellite images, and different scale paper maps). Results indicated that lateral migration caused significant problems through land loss (approximately 2,561 ha), especially arable land, and land use changes in river basins, but also economic loss due to the reduction of agricultural production. Total and average soil loss was calculated for five most representative meanders on all studied rivers, and on the basis of the obtained values, certain regularities about further development and dynamics of riverbank movement are presented. A better understanding of river channel migration in this area will be of a great importance for practical issues such as predicting channel migration rates for river engineering and planning purposes, soil and water management and land use changes, environment protection.


Land ◽  
2019 ◽  
Vol 8 (3) ◽  
pp. 50 ◽  
Author(s):  
Mintesinot Taye ◽  
Belay Simane ◽  
Benjamin F. Zaitchik ◽  
Yihenew G. Selassie ◽  
Shimelis Setegn

Generating land capability class guidelines at a watershed scale has become a priority in sustainable agricultural land use. This study analyzed the area of cultivated land use situated on the non-arable land-capability class in the Jema watershed in the Upper Blue Nile River Basin. Soil surveys, meteorological ground observations, a digital elevation model (DEM) at 30 m, Meteosat at 10 km × 10 km and Landsat at 30 m were used to generate the sample soil texture class, average annual total rainfall (ATRF in mm), terrain, slope (%), elevation (m a.s.l) and land-use land cover (%). The land capability class was analyzed by considering raster layers of terrain, the average ATRF and soil texture. Geo-statistics was employed to fit a surface of soil texture and average ATRF estimates. An overlay technique was used to compute the proportion of cultivated land placed on non-arable land. As per the results of the terrain analysis, the elevation (m a.s.l) of the watershed is in the range of 1895 to 3518 m. The slope was found to be in the range of 0 to 45%. The amount of estimated rainfall ranged from 1640 to 131 mm with value declined from the lower to the higher elevation. Clay loam, clay and heavy clay were found to be the major soil texture classes. Four land capability classes, i.e., II, III, IV (arable) and V (non-arable), were identified with proportions of 28.56%, 45.74%, 22.16% and 3.54%, respectively. Seven land-use land covers were identified, i.e., annual crop land, grazing land, bush land, bare land, settlement land, forestland and water bodies, with proportions of 42.1, 35.9, 8.90, 8.3, 2.6, 2.1, and 0.2, respectively. Around 1707.7 ha of land in the watershed is categorized under non-arable land that cannot be used for annual crop cultivation at any level of intensity. Around 437 ha (3.5%) of land was cultivated on non-arable land. To conclude, the observed unsustainable crop land use could maximize soil loss in upstream regions and siltation and flooding downstream. The annual crop land use that was observed on non-arable land needs to be replaced with perennial crops, pasture and/or forest land uses.


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