Agricultural Land Utilization Efficiency: The Case of Latvia

Pilvere, Irina; Nipers, Aleksejs; Upite, Ilze

doi:10.7763/ijtef.2014.v5.342

Cited by 6 publications

(5 citation statements)

References 5 publications

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“…The motivation for the proposed change in forest area designation in non-forestry utilization plans (such as agricultural land and settlements) is important to be supported by data from land evaluations conducted through land quality assessments and indicators of land characteristics in terms of physical, economic, social, and environmental aspects. The assessment results are used to predict land potential, while land selection is important for land-use suitability, because inappropriate land use will have implications for low production and inefficient resource use (Manna et al 2009;Pilvere et al 2014). In land-use planning, land suitability needs to be considered, it is also important to analyze land availability.…”

Section: The Results Of Multi-criteria-based Locus Locus Bl_010mentioning

confidence: 99%

Spatial model of forest area designation and function based on multi-criteria in dry land and mangrove forest ecosystems, Central Sulawesi, Indonesia

Akhbar

NAHARUDDIN²,

ARIANINGSIH³

et al. 2022

Biodiversitas

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Abstract. Akhbar, Naharuddin, Arianingsih I, Misrah, Akhbar RK. 2022. Spatial model of forest area designation and function based on multi-criteria in dry land and mangrove forest ecosystems, Central Sulawesi, Indonesia. Biodiversitas 23: 3620-3630. Along with the dynamics of rapid social change and the need for land for economic development, land and climate parameters on changes in the designation and function of forest areas, it is time to integrate with socio-economic parameters and government policies while still paying attention to the condition of existing forest vegetation cover. This study aimed to develop a spatial analysis model of changes in the designation and function of forest areas based on multi-criteria in dry land and mangrove forest ecosystems. The research used a descriptive-spatial method with a multi-criteria-based decision-making technique for changes in the designation and function of forest areas. The data analysis utilizes Geographic Information System. The motivation for the proposed forest area change is the target to be achieved in the multi-criteria decision analysis. This research resulted in a spatial analysis approach that integrates scoring techniques and multi-criteria-based decision-making techniques. In Locus BL_010, a change in the function of forest area can be generated, while in Locus TL_003 a decision is made to change the allocation and function of forest area. The achievement of multi-criteria-based spatial analysis on changes in the designation and function of forest areas is quite flexible in decision making because each proposed motivational target will be achieved if it is in accordance with the established criteria and field facts.

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Section: The Results Of Multi-criteria-based Locus Locus Bl_010mentioning

confidence: 99%

Spatial model of forest area designation and function based on multi-criteria in dry land and mangrove forest ecosystems, Central Sulawesi, Indonesia

Akhbar

NAHARUDDIN²,

ARIANINGSIH³

et al. 2022

Biodiversitas

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“…Improper land use requires high costs for repairs; especially when the degradation reaches an irreversible stage (Sudershan, 2003;Gupta & Sharma, 2010). Similar to non--renewable natural resources, rational land use is also an influential indicator of development (Chang & Wu, 2011) and economic growth (Pilvere, Nipers & Upite, 2014). The aforementioned is even related to the concept of sustainable development (Ak�nc�, Özalp & Turgut, 2013).…”

Section: Introductionmentioning

confidence: 99%

Integrated assessment of urban land carrying capacity (ULCC) for reducing earthquake risk disaster in Palu City

Jossi

Bombom

Asdak

et al. 2022

srees

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Assessment of the carrying capacity of urban land is very important to evaluate and obtain an overview of the level of land capability through the classification of the carrying capacity of the area so that it becomes the basis for future urban development. This research was conducted in Palu City, which is national city in Indonesia with limited urban development due to its prone to earthquakes. For urban development, it is necessary to study the carrying capacity of land to reduce the risk of earthquake disasters, through three stages of analysis, namely mapping of earthquake-prone areas using the earthquake hazard mapping with seismic micro-zonation; land capability assessment; and integration of land suitability with planning and spatial planning of Palu City. Based on the findings of this study, 74.56% of Palu City is an earthquake-prone area dominated by land capability Classes A to B, namely low to very low land capability classes (55.43%), implying that they have urban physical constraints. However, if it is integrated with the Palu City spatial plan until 2030, most (78.79%) are already in accordance with the carrying capacity of their land, especially in protected areas, but there are still land developments that are not suitable for carrying capacity (21.21%), especially in cultivation areas with risks earthquake disaster. Land use plans that are not in accordance with their carrying capacity must be managed strictly as a tool for disaster mitigation that is urgently needed.

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“…The still minimal use of land due to the decrease in soybean land area from year to year has an effect on the production of soybean produced. According to the research of Pilvere, et al,(2014) states that inappropriate land use will have implications for low production which will have an impact on inefficient use of land resources. One effort to increase soybean agricultural production output is to allocate planting in suitable land (Widiatmaka, et al,2016).…”

Section: Introductionmentioning

confidence: 99%

Reevaluation of Land Fitness For Soybean Plant in Kabamatan Stabat, Langkat District

Handayani

Rauf²,

Rahmawaty³

et al. 2020

IJAB

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A decrease in the area of soybean farming has an effect on reducing soybean production from year to year so that it has not been able to meet the needs of national soybean consumption. Land suitability assessment is an effort to be able to optimize land use. In the process of assessing land suitability manually, it is considered inaccurate. The purpose of this study was to determine the land suitability class for soybean plants. The land suitability classification system used is the FAO land suitability classification classified at the sub-class level. Land suitability evaluation uses a matching system, as well as comparing the characteristics of land with plant growing community formulated in the technical evaluation of land guidelines for agricultural commodities. In the matching process Leibig's minimum law is used to determine the limiting factors that will affect the suitability of the class and sub-class of the land. Requirements for growing plants become kiteria in conformity evaluation. The results showed that the limiting factors of land suitability for soybean plants that had to be improved were temperature, rainfall, soil texture, C-Organic, N-Total and P-Available soil. The limiting factor of temperature and soil texture cannot be improved so that the marginal fit class (S3) on actual land suitability remains marginal fit (S3) in terms of potential land suitability.

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Agricultural Land Utilization Efficiency: The Case of Latvia

Cited by 6 publications

References 5 publications

Spatial model of forest area designation and function based on multi-criteria in dry land and mangrove forest ecosystems, Central Sulawesi, Indonesia

Spatial model of forest area designation and function based on multi-criteria in dry land and mangrove forest ecosystems, Central Sulawesi, Indonesia

Integrated assessment of urban land carrying capacity (ULCC) for reducing earthquake risk disaster in Palu City

Reevaluation of Land Fitness For Soybean Plant in Kabamatan Stabat, Langkat District

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