Study of pH and Magnetic Susceptibility to Fertility Rate of Agricultural Soil around Institut Teknologi Sumatera, Lampung, Indonesia

Santoso, Nono Agus; Iqbal, Mochamad; Ekawati, Gestin Mey; Firdaus, Ruhul

doi:10.1088/1755-1315/258/1/012001

Cited by 5 publications

(3 citation statements)

References 3 publications

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“…The agricultural land classification used is based on [1], this classification has changed due to the addition of land suitability factors for plants [9]. Based on Figure 2, it can be seen that the soil fertility level around ITERA is fertile to very fertile.…”

Section: Resultsmentioning

confidence: 99%

“…Research that has been carried out to look at soil fertility is Santoso et al [1] conducting research on pH and magnetic susceptibility studies to look at the fertility level of agricultural land around the Sumatra Institute of Technology. This research found that the magnetic susceptibility value was correlated with the level of soil fertility.…”

Section: Introductionmentioning

confidence: 99%

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Geochemical study to determine what elements are most influential in soil fertility in the southern part of Lampung region

Santoso,

Kamal,

Nugraha

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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Lampung is one of the best provinces in Indonesia in the agricultural sector. Research on agriculture in Lampung continues to develop over time. To expand land, research on agricultural land is needed. Agricultural soil contains chemical elements that support soil fertility. The aim of this research is to find out which chemical elements have the best correlation with soil fertility. The samples used were agricultural soil samples from the South Lampung and Pesawaran areas. The method used is a geochemical method with pH measurements and X-Ray Fluorescence testing. The results obtained were that the Mg element had a very strong correlation with soil fertility so that in the future the Mg element could be used as an indicator of soil fertility levels.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Geochemical study to determine what elements are most influential in soil fertility in the southern part of Lampung region

Santoso,

Kamal,

Nugraha

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

show abstract

“…Soil organic matter is the main source of vegetation nutrients, and it is also therefore an important indicator of soil fertility [65]. Soil pH is closely related to fertilizer uptake efficiency, and most vegetation grows best when it is between 6.5 and 7.5 [66]. Land degradation is the main factor limiting the improvement of forest land quality [28].…”

Section: Evaluation Indicator Weights Are Calculated the Pso Algorithm Pythonmentioning

confidence: 99%

Forest Land Quality Evaluation and the Protection Zoning of Subtropical Humid Evergreen Broadleaf Forest Region Based on the PSO-TOPSIS Model and the Local Indicator of Spatial Association: A Case Study of Hefeng County, Hubei Province, China

Wang

Yong

et al. 2021

Forests

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Forest land is the carrier for growing forests. It is of great significance to evaluate the forest land quality scientifically and delineate forestland protection zones reasonably for realizing better forest land management, promoting ecological civilization construction, and coping with global climate change. In this study, taking Hefeng County, Hubei Province, a subtropical humid evergreen broad-leaved forest region in China, as the study area, 14 indicators were selected from four dimensions—climatic conditions, terrain, soil conditions, and socioeconomics—to construct a forest land quality evaluation index system. Based on the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) model, we introduced the Particle Swarm Optimization (PSO) algorithm to design the evaluation model to evaluate the forest land quality and analyze the distribution of forest land quality in Hefeng. Further, we used the Local Indicator of Spatial Association (LISA) to explore the spatial distribution of forest land quality and delineate the forest land protection zones. The results showed the following: (1) the overall quality of forest land was high, with some variability between regions. The range of Forest Land Quality Index (FLQI) in Hefeng was 0.4091–0.8601, with a mean value of 0.6337. The forest land quality grades were mainly first and second grade, with the higher-grade forest land mainly distributed in the central and southeastern low mountain regions of Zouma, Wuli, and Yanzi. The lower-grade forest land was mainly distributed in the northwestern middle and high mountain regions of Zhongying, Taiping, and Rongmei. (2) The global spatial autocorrelation index of forest land quality in Hefeng County was 0.7562, indicating that the forest land quality in the county had a strong spatial similarity. The spatial distribution of similarity types high-high (HH) and low-low (LL) was more clustered, while the spatial distribution of dissimilarity types high-low (HL) and low-high (LH) was generally dispersed. (3) Based on the LISA of forest land quality, forest land protection zones were divided into three types: key protection zones (KPZs), active protection zones (APZs), and general protection zones (GPZs). The forest land protection zoning basically coincided with the forest land quality. Combining the characteristics of self-correlated types in different forestland protection zones, corresponding management and protection measures were proposed. This showed that the PSO-TOPSIS model can be effectively used for forest land quality evaluation. At the same time, the spatial attributes of forest land were incorporated into the development of forest land protection zoning scheme, which expands the method of forest land protection zoning, and can provide a scientific basis and methodological reference for the reasonable formulation of forest land use planning in Hefeng County, while also serving as a reference for similar regions and countries.

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Identification of the Structure of Soil Cover by Magnetic Susceptibility

et al. 2021

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Study of pH and Magnetic Susceptibility to Fertility Rate of Agricultural Soil around Institut Teknologi Sumatera, Lampung, Indonesia

Cited by 5 publications

References 3 publications

Geochemical study to determine what elements are most influential in soil fertility in the southern part of Lampung region

Geochemical study to determine what elements are most influential in soil fertility in the southern part of Lampung region

Forest Land Quality Evaluation and the Protection Zoning of Subtropical Humid Evergreen Broadleaf Forest Region Based on the PSO-TOPSIS Model and the Local Indicator of Spatial Association: A Case Study of Hefeng County, Hubei Province, China

Identification of the Structure of Soil Cover by Magnetic Susceptibility

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