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All Journal Jurnal Ecosolum Journal of Tropical Soils Journal of Degraded and Mining Lands Management Forum Geografi SAINS TANAH - Journal of Soil Science and Agroclimatology Jurnal Agritechno
Risma Neswati, Risma
Jurusan Ilmu Tanah, Fakultas Pertanian, Universitas Hasanuddin, Makassar
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Earth & Planetary Sciences Education Engineering Environmental Science

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Characteristics and utilization of black soils in Indonesia Sulaeman, Yiyi; Sukarman, Sukarman; Neswati, Risma; Nurdin, Nurdin; Basuki, Tony
SAINS TANAH - Journal of Soil Science and Agroclimatology Vol 20, No 1 (2023): June
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/stjssa.v20i1.70343

Abstract

Black soils store a high amount of soil organic carbon (SOC) and play a crucial role in climate change, food security, and land degradation neutrality. However, data and information regarding black soils in tropical regions, including Indonesia, are limited. This study aimed to characterize and identify the utilization of black soils in Indonesia based on legacy soil survey data.  We collated 142 soil pedon samples of Mollisols from articles, technical reports, and existing datasets. The site information (site position, elevation, land use type, parent material) and selected physicochemical properties were stored in a spreadsheet, from which exploratory data analysis was conducted.  The result showed that the median SOC content was 1.53%, ranging from 0.6 to 8.2 %; cation exchange capacity was 30 cmol kg-1, ranging from 9 to 95 cmol kg-1; base saturation was 87%, ranging from 11 to 100 %; and bulk density was 1.21 g cm-3, ranging from 1.13 to 1.36 g cm-3. Other soil characteristics (particle size distribution, exchangeable bases, pH, pore, and water retention) varied with horizon type and land use/land cover. The black soils have been used for paddy fields, dryland farming, and gardens with low management intensity. Main cultivated crops include rice (Oryza sativa), corn (Zea mays), cassava (Manihot esculenta), sweet potato (Ipomoea batatas), and nutmeg (Myristica fragrans), clove (Syzygium aromaticum), coconut (Cocos nucifera), and cocoa (Theobroma cocoa).  Threats to black soil functions include soil erosion, carbon loss, and nutrient imbalance. Soil and water conservation measures, integrated soil nutrient management, and agroforestry are among the best land management practices for black soils.
Land suitability assessment for agricultural crops in Enrekang, Indonesia: combination of principal component analysis and fuzzy methods Sappe, Nurfadila Jamaluddin; Baja, Sumbangan; Neswati, Risma; Rukmana, Didi
SAINS TANAH - Journal of Soil Science and Agroclimatology Vol 19, No 2 (2022): December
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/stjssa.v19i2.61973

Abstract

Land suitability assessment is essential for the efficient use of diminishing fertile agricultural land. Assessment parameters include soil texture, pH, the sum of basic cations, base saturation, cation exchange capacity, organic carbon, soil depth, slope, and mean annual temperature and precipitation data. Results showed that 76.28% and 23.26% of the total area were optimally and moderately suitable for coffee growth, respectively; 9.6% and 90% were optimally and moderately suitable for cocoa growth, respectively; 1.98%, 78.74%, and 19.26% were optimally, moderately, and marginally suitable for clove growth, respectively; and 6.68%, 86.89%, and 6.41% was optimally, moderately, and marginally suitable for pepper growth, respectively. The final land suitability index (LSI) was strongly influenced by the threshold values used by the researcher and the quality of the land indicator itself. Plant threshold values differed due to variations in plant recruitment. The main limiting factors were mean annual temperature <26°C, acidic soil pH, and low CEC. This study showed that the fuzzy method is ideal for converting the numerical data of various magnitudes into membership function values and representing land suitability. The principal component analysis is an effective method to determine the weights of multiple factors in a systematic and objective manner. The linearity test found a correlation between LSI and production with f = 0.00, indicating that the applied model can predict agricultural production and is applicable to other agricultural land management.
Co-Authors Adzima, Ahmad Faudzan Adzima, Ahmad Fauzan Ahmad Faudzan Adzima Ahmad Fauzan Adzima Andi Dharmawan Mallarangen Andi Ramlan Andi Ramlan, Andi Andri Andriansyah Angelita, Titah Kasih Ardiansyah, Andri Basuki, Tony Burhanuddin Rasyid, Burhanuddin Chairuddin, Zulkarnain Didi Rukmana, Didi Eva Noviyanti Felix, Irfandi Harri, Erlin Hasni Hasni Hazairin Zubair Husnul Mubarak Irfandi Felix Iswan Dunggio Jayadi, Muh. Kadar Wahid Kogoya, Alfin Laban, Sartika Lias, Syamsul Arifin Lopulisa, Christianto Muh. Jayadi Muhammad Fuad Anshori Muhammad Iqbal Muhammad Nathan Nur Qalbi Zaesar Muharram Nurdin . Rachmad Wunangkolu Safir, Mujahidah Samsu Arif Sappe, Nurfadila Jamaluddin Sofyan Abdullah, Sofyan Sukarman Sukarman Sumbangan Baja Sumbangan Baja, Sumbangan Tegar Ilham Yafet Hendri Pasang Yiyi Sulaeman