Assessment of the spatial variability of selected soil chemical properties using geostatistical analysis in the north-western highlands of Ethiopia

Yeneneh, Nigussie; Elias, Eyasu; Feyisa, Gudina Legese

doi:10.1080/09064710.2022.2142658

Cited by 4 publications

(3 citation statements)

References 38 publications

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“…In contrast, Horáková et al (2020) found that forests and grasslands had higher carbon and nitrogen accumulation compared to fertile agroecosystem land. Furthermore, Yeneneh et al (2022) demonstrated that the quality of soil, including pH, nutrient content, and electrical conductivity, deteriorated in agroecosystem land types. The application of chemical and organic fertilizers by farmers resulted in increased soil nutrient levels and altered chemical properties in monoculture plantations.…”

Section: Characteristics Of Soil Physical and Chemical Properties In ...mentioning

confidence: 99%

Functional group diversity of soil macroarthropods in tropical rainforest areas of Bukit Pinang-Pinang Padang, Indonesia: implications for ecosystem balance

Marsandi,

Fajri,

Hermansah

2024

Soil Sci. Ann.

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This study assessed the abundance and diversity of soil macroarthropod functional groups in various land types within tropical rainforest areas. The results showed that out of 12 identifi ed taxa, 2,794 individuals of soil macroarthropods were found, with hymenoptera dominating each land type with a relative abundance of 69.29%. The functional grouping of soil macroarthropods consisted of herbivores, predators, parasitoids, and detritivores. The highest variation in the number of functional group types was found in predators and herbivores, with seven taxa each. The highest individual abundance was found in predators, with 210 individuals. The highest diversity and evenness index of soil macroarthropod functional groups were found in herbivores, with values of 2.729 ± 0.056 and 0.578 ± 0.011, respectively, in monoculture gardens. In contrast, predator dominance was found in land that had been cleared, with a value of 0.754 ± 0.071. The signifi cant correlation between soil pH, N, SMC, and BD with the observed species and individual abundance reinforces the argument that differences in micro-environmental conditions in each land type signifi cantly infl uence the presence of soil macroarthropod functional groups. Forests that are rich in Inceptisol provide a natural habitat for diverse predator groups, ensuring protection of their diversity. On the other hand, monoculture gardens have the potential to increase herbivore diversity, but can also pose a threat to cultivated plants. These fi ndings help to uncover the tendency of the roles and functions of soil macroarthropods in maintaining ecosystem balance and provide important support for evaluating soil quality.

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Section: Characteristics Of Soil Physical and Chemical Properties In ...mentioning

confidence: 99%

Functional group diversity of soil macroarthropods in tropical rainforest areas of Bukit Pinang-Pinang Padang, Indonesia: implications for ecosystem balance

Marsandi,

Fajri,

Hermansah

2024

Soil Sci. Ann.

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“…Zarubin "taking into account landscape-ecological factors can be traced back to ancient times in agricultural land use, which is the basis of life support" [9]. In the last decade, geographic information technologies have acquired a significant role in assessing the ecological state of agricultural systems and design methods, making it possible to study in more detail the spatial variability of the properties of natural-anthropogenic landscapes [10,11,12].…”

Section: Introductionmentioning

confidence: 99%

Features of research and design of the structure of natural-anthropogenic landscape complexes

Batrachenko,

Brazhnik,

Goneev

et al. 2024

E3S Web Conf.

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Intense anthropogenic impact on the landscape envelope leads to the formation of unstable natural-anthropogenic complexes. For agricultural landscapes as a category of transformed landscapes with a relatively high proportion of natural functioning mechanisms, it is necessary to study the mechanisms of formation of sustainability. The article discusses the features of using examples of landscape planning technologies for the design of sustainable agricultural landscape complexes.

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“…In the geostatistical approach, spatial variability of soil properties for different land uses is characterized by spatial modeling (variogram) and spatial interpolation (kriging) (Kariuki et al, 2009;Liu et al, 2014;Reza et al, 2016;AbdelRahman et al, 2020). Spatial distribution maps are produced by integrating geostatistics and GIS techniques (Tashayo et al, 2020;Yeneneh et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Agricultural land suitability assessment with GIS-based multi-criteria decision analysis and geostatistical approach in semi-arid regions

TUĞAÇ,

TERCAN,

TORUNLAR

et al. 2023

Soil Studies

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For sustainable land use planning, evaluating land characteristics and making suitable land use decisions is a priority and critical step. In order to make these evaluations safely, spatial analyzes of many criteria should be made. In this study, the suitability of the land for wheat production was evaluated by Geographical Information Systems (GIS) based Multiple Criteria Decision Analysis (MCDA) in semi-arid conditions. In obtaining the land suitability map; fuzzy set model, Analytical Hierarchy Process (AHP) and GIS are integrated. Ecological criteria weights for agricultural land suitability were determined by AHP. In the suitability analysis, a total of criteria including soil and topographic features were evaluated. Geostatistical analysis approach was applied to determine the spatial variability of soil properties (sand, clay, silt, pH, OM, CEC, ESP, CaCO3, EC). The lowest variation among soil properties was observed in pH (3.8%), while the largest variation was observed in ESP content (107.5%). The nugget/sill ratio is poor for EC and pH, while other soil properties are moderately spatially dependent. According to the results of the analysis, 25.7% (3.226 km2) of the area is highly suitable, while 27.6% (3.457 km2) is moderately suitable and 19.5% (2.440 km2) is marginally suitable for wheat cultivation. In addition, 27.2% (3.415 km2) of the area is not suitable for agricultural production. The use of geostatistical modeling, MCDA and GIS together is very beneficial in making agricultural land management decisions.

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Assessment of the spatial variability of selected soil chemical properties using geostatistical analysis in the north-western highlands of Ethiopia

Cited by 4 publications

References 38 publications

Functional group diversity of soil macroarthropods in tropical rainforest areas of Bukit Pinang-Pinang Padang, Indonesia: implications for ecosystem balance

Functional group diversity of soil macroarthropods in tropical rainforest areas of Bukit Pinang-Pinang Padang, Indonesia: implications for ecosystem balance

Features of research and design of the structure of natural-anthropogenic landscape complexes

Agricultural land suitability assessment with GIS-based multi-criteria decision analysis and geostatistical approach in semi-arid regions

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