SOIL PRODUCTIVITY ASSESSMENT METHOD FOR INTEGRATED LAND EVALUATION OF HUNGARIAN CROPLANDS

2001 ◽  
Vol 49 (2) ◽  
pp. 151-160 ◽  
Author(s):  
G. Tóth
Keyword(s):  
Land Use ◽  
Evaluation System ◽  
Sustainable Land Use ◽  
Land Evaluation ◽  
Evaluation Methodology ◽  
Soil Parameters ◽  
Soil Productivity ◽  
Land Productivity ◽  
Study Region ◽  
Soil Evaluation

Land productivity evaluation systems are developed to predict the crop growing potential of lands on the basis of their attributes. The Hungarian land evaluation system presently in use, known as the gold crown system, was developed in the 19 th century and its rating is based on profitability. This system does not give an exact description of the productivity potential of the land and includes no information on the environmental characteristics of the soils. In recent decades most European countries have adopted land evaluation methods based on land and soil parameters. In the 1980s a quantitative land evaluation method of this type was introduced in Hungary as well. In this system the effect of soil attributes on the level of fertility was expressed in numerical terms by soil mapping units. This system was again replaced by the gold crown system during the political changes in the early 90s. However, using a soil evaluation system (where the relative production potential of the land is expressed in a quantitative manner) together with measurements of soil degradation or amelioration an integrated method could be developed to express various land quality/land productivity relationships. This approach could help decision makers – along with land users and environmental scientists – to choose profitable and sustainable land use types and methods at local and regional levels. In this context, sustainable land use means biomass production with the highest efficiency without harmful environmental side effects. This paper introduces a soil evaluation methodology based on the Hungarian genetic soil classification. The productivity evaluation system was worked out on the basis of long-term (6 years) yield data collected from 1019 fields in the Balaton Upland region (Central Western Hungary) and large-scale genetic soil maps of the study region.

scholarly journals EVALUATION OF LAND RESOURCES FOR HAU GIANG PROVINCE’S LAND USE PLANNING ADJUSTMENT

2018 ◽  
Vol 54 (2A) ◽  
pp. 104
Author(s):  
Nguyen Thanh Quang
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Evaluation System ◽  
Agricultural Land ◽  
Mekong Delta ◽  
Land Evaluation ◽  
Evaluation Methodology ◽  
Land Resources ◽  
Natural Area ◽  
Saline Land

Hau Giang is one of 13 provinces in the Mekong Delta. Total land area is 162,171 ha (statistics 2014), agricultural land is 141,217 ha accounting for 87.08 % of natural area. To exploit the reasonable land and provide a scientific basis for adjusting the land use planning to 2020, the evaluation of land resources in Hau Giang was carried out. To apply the land evaluation methodology of FAO to research on natural conditions, socio-economic related to land use to evaluate land resources as well as to apply for geographic information system (GIS) and automatically land evaluation system (ALES) gave results positively, quickly and efficiently. Evaluation results showed that Hau Giang had four major land groups with 11 land mapping units; alluvium land group accounted for 37.26 % of natural area. From the map overlay has been integrated 28 land units. Basing on 44 LUTs surveys was selected for 16 LUTs to have development prospects to evaluate land suitability. Land use was divided into 5 main groups: alluvial land belonged to riverside Hau, slightly saline land was not submerged and was shallow, and low-lying saline land was flooded and saline land was salty. To combine with evaluating the current state of land use, productive techniques and socio-economic development needed supplementing of land use planning by 2020 as follows: (1) agricultural land is 141,217 ha (87.08 %); (2) non-agricultural land is 20,918 ha (12.90 %) and (3) unused land is 36 ha             (0.02 %) of natural area.

Framework of Saving and Intensive Land Use System in Chongqing: A View of Urban-Rural Integration

2012 ◽  
Vol 472-475 ◽  
pp. 231-238
Author(s):  
Cai Gui Zheng ◽  
Dao Xian Yuan ◽  
Qing Yuan Yang ◽  
Xiao Cheng Zhang ◽  
Shi Chuan Li
Keyword(s):  
Land Use ◽  
Evaluation System ◽  
System Analysis ◽  
Land Evaluation ◽  
Registration System ◽  
Land Registration ◽  
Land Use System ◽  
Urban Rural ◽  
System 2 ◽  
Intensive Land Use

This paper, based on the current state and problems of saving and intensive land use system of urban-rural integration in Chongqing, in which methods of theoretical approach and system analysis are applied, brings up three mechanisms as: (1) the connecting of the increase of urban construction and the decrease of rural residential area; (2) the connecting of sprawling and farmland consolidation; (3) the connecting of intensive land-use in urban-rural area. At last, the paper builds up the saving and intensive land use system of urban-rural integration follow as: (1) perfecting land surveying system; (2) strengthening land statistics system; (3) perfecting land evaluation system; (4) clearing land property right system; (5) improving land registration system; (6) refining land use system; (7) building land tax system; (8) explicating land consolidation system.

scholarly journals GIS-Based Multi-Criteria and Multi-Objective Evaluation for Sustainable Land-Use Planning (Case Study: Qaleh Ganj County, Iran) “Landuse Planning Using MCE and Mola”

2021 ◽  
Author(s):  
Malihe Masoudi ◽  
Csaba Centeri ◽  
Gergely Jakab ◽  
Lyndré Nel ◽  
Mehdi Mojtahedi
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Rapid Development ◽  
Objective Evaluation ◽  
Sustainable Land Use ◽  
Land Evaluation ◽  
Weighted Averaging ◽  
Land Uses ◽  
Multi Objective ◽  
Selection Factors

AbstractLand evaluation is a key factor in land-use spatial planning, affecting both success and sustainability. This study showcases the value of using the multi-criteria evaluation (MCE) and multi-objective land allocation (MOLA) GIS decision-making tools determine the most favorable spatial development of various land-use types, for Qaleh Ganj County in Iran. Weighted linear combination (WLC) and ordered weighted averaging (OWA) were used to assess the potential of seven land uses based on predefined criteria. MOLA was also used for land-use zoning based on suitability. The results derived from these techniques indicate that the rangeland zone with 30.80% and the ecotourism zone with 22.9% have the highest suitability potential, and aquaculture with 0.26% and tourism with 0.24% have the lowest potential in Qaleh Ganj. Considering the 7 land uses and a lot of defined criteria, MCE and MOLA provided an automatic and flexible way of dealing with qualitative multi-dimensional environmental effects, factors, constraints and objectives. The combination of WLC and OWA helped to manage selection factors differently, as their level of risk and trade-off is different. The result can be considered as optimal suitability maps with an environmental preservation goal which can help to protect the natural environment of this area, and will also allow for continued economic development. The approach described in this study can help developing countries and the sensitive area facing environmental challenges due to rapid development. This approach and its application procedures can be applied to similar territorial contexts, where several territorial factors should be considered and taken into account.

scholarly journals Optimized Land Use through Integrated Land Suitability and GIS Approach in West El-Minia Governorate, Upper Egypt

2021 ◽  
Vol 13 (21) ◽  
pp. 12236
Author(s):  
Yasser M. Zakarya ◽  
Mohamed M. Metwaly ◽  
Mohamed A. E. AbdelRahman ◽  
Mohamed R. Metwalli ◽  
Georgios Koubouris
Keyword(s):  
Land Use ◽  
Sugar Beet ◽  
Crop Rotation ◽  
Land Evaluation ◽  
Geographical Information ◽  
Soil Parameters ◽  
Green Pepper ◽  
Soil Suitability ◽  
Soil Sustainability ◽  
Total Study Area

Land evaluation is imperative for its efficient use in agriculture. Therefore, this study aimed at assessing the suitability of a region in West El-Minia for cultivating some of the major crops using the geographical information system (GIS). The results focus on allocating space for cultivating sugar beet and utilizing the free period of sugar beet in other crops. This exploitation helps to maintain the quality of the land and increase its fertility by using crop rotation with integrated agricultural management. A machine learning technique was implemented using the random forest algorithm (RF) to predict soil suitability classes for sugar beet using geomorphology, terrain attribute and remote sensing data. Fifteen major crops were evaluated using a suitability multicriteria approach in GIS environment for crop rotation decisions. Soil parameters were determined (soil depth, pH, texture, CaCO3, drainage, ECe, and slope) to characterize the land units for soil suitability. Soils of the area were found to be Entisols; Typic Torrifluvents, Typic Torripsamments and Typic Torriorthents and Aridsols; Typic Haplocacids, Calcic Haplosalids and Sodic Haplocalcids. Overall, the studied area was classified into four suitability classes: high “S1”, moderate “S2”, marginal “S3”, and not suitable “N”. The area of each suitability class changed depending on the crop tested. The highest two crops that occupied S1 class were barley with 471.5 ha (representing 6.8% of the total study area) and alfalfa with 157.4 ha (2.3%). In addition, barley, sugar beet, and sorghum occupied the highest areas in S2 class with 6415.3 ha (92.5%), 6111.3 ha (88.11%) and 6111.3 ha (88.1%), respectively. Regarding the S3 class, three different crops (sesame, green pepper, and maize) were the most highly represented by 6151.8 ha (88.7%), 6126.3 ha (88.3%), and 6116.7 ha (88.2%), respectively. In the end, potato and beans occupied the highest areas in N class with 6916.9 ha (99.7%) and 6853.5 ha (98.8%), respectively. The results revealed that the integration of GIS and soil suitability system consists of an appropriate approach for the evaluation of suitable crop rotations for optimized land use planning and to prevent soil degradation. The study recommends using crop rotation, as it contributes to soil sustainability and the control of plant pests and diseases, where the succession of agricultural crops on a scientific basis aims at maintaining the balance of nutrients and fertilizers in the soil.

scholarly journals Spatial Distribution and Changes of the Realizable Triple Cropping System in China

2019 ◽  
Vol 11 (6) ◽  
pp. 1654 ◽  
Author(s):  
Li Jiang ◽  
Xin Chen ◽  
Fei Lun ◽  
Zhihua Pan ◽  
Jiaheng Niu ◽  
...  
Keyword(s):  
Land Use ◽  
Spatial Distribution ◽  
Southern China ◽  
Cropping System ◽  
Climatic Conditions ◽  
Sustainable Land Use ◽  
Full Potential ◽  
Land Productivity ◽  
Spatial Changes ◽  
Ecological Suitability

Exploiting the full potential of the realizable triple cropping system (RTCS) is one of the most effective methods for increasing land productivity, thus promoting food security. However, insufficient attention is paid to the spatial distribution of the RTCS in China. Here, a method is developed to assess the RTCS in China, considering terrain, climatic conditions, crop climatic-ecological suitability, and the spatial changes in the RTCS between 1951 and 2010. Results indicate that a decrease of 19 Mha was caused by topographic correction, while climate change increased the same area by 14 Mha. Based on crop climatic-ecological conditions, the suitability of the RTCS was indicated for 1068 counties. The boundary of the RTCS moved northward by 100–200 km in the Middle-Lower reaches of the Yangtze River, but southward by approximately 250 km in Yunnan Province. The area of the RTCS is 135 Mha distributed across 775 counties in Southern China. These findings are useful for guiding the policy of cultivated land use in Southern China. The approach can be adopted elsewhere to determine the RTCS for sustainable land use and increasing land productivity.

scholarly journals Eleven years’ data of grassland management in Germany

2019 ◽  
Vol 7 ◽  
Author(s):  
Juliane Vogt ◽  
Valentin Klaus ◽  
Steffen Both ◽  
Cornelia Fürstenau ◽  
Sonja Gockel ◽  
...  
Keyword(s):  
Land Use ◽  
Total Nitrogen ◽  
Management Practices ◽  
Total Duration ◽  
Grazing Intensity ◽  
Grassland Management ◽  
Sustainable Land Use ◽  
Land Use Intensity ◽  
Study Region ◽  
Arable Farming

The 150 grassland plots were located in three study regions in Germany, 50 in each region. The dataset describes the yearly grassland management for each grassland plot using 116 variables. General information includes plot identifier, study region and survey year. Additionally, grassland plot characteristics describe the presence and starting year of drainage and whether arable farming had taken place 25 years before our assessment, i.e. between 1981 and 2006. In each year, the size of the management unit is given which, in some cases, changed slightly across years. Mowing, grazing and fertilisation were systematically surveyed: Mowing is characterised by mowing frequency (i.e. number of cuts per year), dates of cutting and different technical variables, such as type of machine used or usage of conditioner. For grazing, the livestock species and age (e.g. cattle, horse, sheep), the number of animals, stocking density per hectare and total duration of grazing were recorded. As a derived variable, the mean grazing intensity was then calculated by multiplying the livestock units with the duration of grazing per hectare [LSU days/ha]. Different grazing periods during a year, partly involving different herds, were summed up to an annual grazing intensity for each grassland. For fertilisation, information on the type and amount of different types of fertilisers was recorded separately for mineral and organic fertilisers, such as solid farmland manure, slurry and mash from a bioethanol factory. Our fertilisation measures neglect dung dropped by livestock during grazing. For each type of fertiliser, we calculated its total nitrogen content, derived from chemical analyses by the producer or agricultural guidelines (Table 3). All three management types, mowing, fertilisation and grazing, were used to calculate a combined land use intensity index (LUI) which is frequently used to define a measure for the land use intensity. Here, fertilisation is expressed as total nitrogen per hectare [kg N/ha], but does not consider potassium and phosphorus. Information on additional management practices in grasslands was also recorded including levelling, to tear-up matted grass covers, rolling, to remove surface irregularities, seed addition, to close gaps in the sward. Investigating the relationship between human land use and biodiversity is important to understand if and how humans affect it through the way they manage the land and to develop sustainable land use strategies. Quantifying land use (the ‘X’ in such graphs) can be difficult as humans manage land using a multitude of actions, all of which may affect biodiversity, yet most studies use rather simple measures of land use, for example, by creating land use categories such as conventional vs. organic agriculture. Here, we provide detailed data on grassland management to allow for detailed analyses and the development of land use theory. The raw data have already been used for > 100 papers on the effect of management on biodiversity (e.g. Manning et al. 2015).

scholarly journals Land Evaluation for Alternate Land Use Planning of Soils in Tatrakallu Village of Anantapuramu District, Andhra Pradesh

Agropedology ◽  
2019 ◽  
Vol 30 (2) ◽  
Author(s):  
G. Sashikala ◽  
◽  
M.V.S Naidu ◽  
K.V. Ramana ◽  
K.V. Nagamadhuri ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Cover Crops ◽  
Andhra Pradesh ◽  
Quantitative Methods ◽  
Organic Matter Content ◽  
Land Evaluation ◽  
Rooting Depth ◽  
Soil Productivity ◽  
Suitability Analysis

Twenty-two typical pedons (14 soil series- TTK1 to TTK-14) representing major landforms of Tatrakallu village of Ananatapuramu district of Andhra Pradesh were evaluated by using qualitative and quantitative methods. Three major land capability classes (III, IV and VI) were identified with two sub classes (erosion and wetness). Crop suitability analysis revealed that the village falls under marginally suitable (S3) with limitations of soil fertility, wetness and sodicity and not suitable (N) with limitations of slope, texture shallow rooting depth, sodicity and poor nutrient status. Riquier’s parametric approach was found to be good indicator for identification of production potential. The land evaluation revealed that, suitability and productivity of these soils were highly variable, and hence their management must be site-specific. The suggestion including the crop residue retention, nutrient recycling, minimum tillage, crop rotation, cover crops and intercropping not only helps to conserve soil and water more effectively in soils but also increase organic matter content and improve fertilizer use efficiency. Farmers continued to grow groundnut, pigeonpea, chickpea and castor for many years on marginally suitable as they are not aware of suitable soils for a particular crop. Adoption of suggested ameliorative measures and land use not only improve the yield but also sustain the soil productivity.

scholarly journals Land use planning of paddy field using geographic information system and land evaluation in West Lombok, Indonesia

2014 ◽  
Vol 46 (1) ◽  
pp. 89 ◽  
Author(s):  
Widiatmaka Widiatmaka ◽  
Wiwin Ambarwulan Ambarwulan ◽  
Rudi P Tambunan ◽  
Yusanto A Nugroho ◽  
Suprajaka Suprajaka ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Evaluation System ◽  
Rice Production ◽  
Land Evaluation ◽  
Suitability Analysis ◽  
High Resolution Data ◽  
Regional Food ◽  
Spot 5 ◽  
Potential Land

Planning analysis to increase rice production either through intensiḀcation of existing paddy Ḁeld area or ex-tensiḀcation in potential land area was conducted in West Lombok Regency, West Nusa Tenggara Province, Indonesia. Existing paddy Ḁeld was delineated using high-resolution data from IKONOS imagery of 2012. Land use and land cover outside existing paddy Ḁeld were interpreted using SPOT-5 imagery of 2012. ἀe Automated Land Evaluation System (ALES) was used for land suitability analysis for paddy. ἀe results are interpreted in terms of the potential of paddy Ḁeld intensiḀcation in existing paddy Ḁeld area and the potential of extensiḀcation in land potentially used for paddy Ḁeld. ἀe result of analysis showed that in West Lombok Regency, there are still possible to do intensiḀcation and extensiḀca-tion of paddy Ḁeld to increase rice production in order to improve regional food security.

Design of a GIS and multi-criteria based land evaluation procedure for sustainable land-use planning at the regional level

2015 ◽  
Vol 200 ◽  
pp. 1-11 ◽  
Author(s):  
Thanh Tuan Nguyen ◽  
Ann Verdoodt ◽  
Tran Van Y ◽  
Nele Delbecque ◽  
Thuy Chi Tran ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Regional Level ◽  
Sustainable Land Use ◽  
Land Evaluation ◽  
Evaluation Procedure
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