Main Article Content
Abstract
Cardamom (Amomum compactum) is a high-value spice with significant applications in the pharmaceutical, food, and cosmetics industries. The increasing global demand makes cardamom a promising commodity for agricultural expan sion. However, limited information on land suitability in Padang Jaya Subdistrict poses a challenge to optimizing cultivation. This study aimed to map the land suitability classes for cardamom cultivation and assess the potential for cardamom development in Padang Jaya Subdistrict, North Bengkulu. The research involved in field surveys, soil sampling, laboratory analysis, and GIS-based land suitability evaluation using the FAO framework. Key parameters as sessed included rooting media, nutrient retention, slope, and climate condition in the past 10 years. The FAO classification system categorized land into four suitability classes, namely: S1 (high suitable), S2 (moderately suitable), S3 (marginally suitable), and N (not suitable). The result indicate the actual land suitability is predominantly S3nrnaeh and S2nrnaeh, with major limiting factors including rooting media, nutrient retention, nutrient availability, and slope. Land improvement efforts such as liming, organic matter applications, fertilization, and soil conservation techniques led to an increase in land suitability, with 62.3% of S3 land upgraded to S2 and 37.7% of S2 land reached S1. Furthermore, GIS-based analysis identified four land cover types suitable for extensification: mixed gardens, seasonal crops, plantations, and bare land, totaling 8,747.71 hectares. These findings provide valuable insights for optimizing land use planning, improving productivity, and promoting sustainable agricultural development. Integrating GIS and remote sensing in future studies could enhance land suitability assessments with a more refined spatial scale. The results also serve as a scientific reference for policymakers and farmers in designing sustainable land management strategies and minimizing environmental degradation.
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References
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References
Abdelrahman, M. A. E., Natarajan, A. & Hegde, R. (2016). Assessment of land suitability and capability by integrating remote sensing and GIS for agriculture in Chamarajanagar district, Karnataka, India. Egyptian Journal of Remote Sensing and Space Science, 19(1), 125–141. DOI: https://doi.org/10.1016/j.ejrs.2016.02.001
Abdurahim, A., Widyastiti, I. G. A., Khairia, W., Tyasningsiwi, R. W., Pamungkas, G. T., Suwarno, E. H. & Maulana, R. (2022). Pengenalan dan Pengendalian OPT Kapulaga. Pertanian Press., Kementerian Pertanian Repubk Indonesia, Jakarta.
Ammann, L. (2003). Cation exchange and adsorption on clays and clay minerals. http://dnb.info/971657661/34?origin=publication_detail.
Amsili, J. P., van Es, H. M. & Schindelbeck, R. R. (2021). Cropping system and soil texture shape soil health outcomes and scoring functions. Soil Security, 4, 100012. DOI: https://doi.org/10.1016/j.soisec.2021.100012.
Badan Pusat Statistik Kabupaten Bengkulu Utara. (2021). Kecamatan Padang Jaya dalam Angka 2020.
Balai Penelitian Tanah. (2005). Petunjuk Teknis Analisis Kimia Tanah, Tanaman, Air, dan Pupuk. Badan Penelitian dan Pengembangan Pertanian.
Beretta, A. N., Silbermann, A. V., Paladino, L., Torres, D., Bassahun, D., Musselli, R. & García-Lamohte, A. (2014). Análisis de textura del suelo con hidrómetro: Modificaciones al método de Bouyoucus. Ciencia e Investigación Agraria, 41(2), 263–271. DOI: https://doi.org/10.4067/S071816202014000200013.
Emamgholizadeh, S., Bazoobandi, A., Mohammadi, B., Ghorbani, H. & Amel Sadeghi, M. (2023). Prediction of soil cation exchange capacity using enhanced machine learning approaches in the southern region of the Caspian Sea. Ain Shams Engineering Journal, 14(2), 101876. DOI: https://doi.org/10.1016/j.asej.2022.101876.
Food and Agriculture Organization of the United Nations. (2021). Standard Operating Procedure for Soil pH Determination.
Friedman, D., Hubbs, M., Tugel, A., Seybold, C. & Sucik, M. (2001). Guidelines for Soil Quality Assessment in Conservation Planning. Natural Resources Conservation Service Soil Quality Institute. http://soils.usda.gov/sqi/assessment/files/sq_assessment_cp.pdf.
Gahlod, N. S., Binjola, S., Ravi, R. & Arya, V. S. (2017). Land-site suitability evaluation for tea, cardamom and rubber using geo-spatial technology in Wayanad district, Kerala. Journal of Applied and Natural Science, 9(3), 1440–1447. DOI: https://doi.org/10.31018/jans.v9i3.1381.
Handayani, L., Hermanto, B. & Wahyuni, S. (2021). Penilaian kesesuaian lahan tanaman kedelai di Kabupaten Serdang Bedagai. Jurnal Penelitian Bidang Ilmu Pertanian, 19(3), 39–45.
Harist, M. C., Shidiq, I. P. A., Fitriani, A. H. & Santoso, A. D. (2021). A GIS-based model for a land suitability analysis of Amomum compactum Soland ex Maton (cardamom) in West Sumatra.
Hartati, T. M., Sunarminto, B. H. & Nurudin, M. (2018). Evaluasi kesesuaian lahan untuk tanaman perkebunan di wilayah Galela,Kabupaten Halmahera Utara, Provinsi Maluku Utara. Caraka Tani: Journal of Sustainable Agriculture, 33(1), 68. DOI: https://doi.org/10.20961/carakatani.v33i1.19298.
Hong, S., Piao, S., Chen, A., Liu, Y., Liu, L., Peng, S., Sardans, J., Sun, Y., Peñuelas, J. & Zeng, H. (2018). Afforestation neutralizes soil pH. Nature Communications, 9(1), 1–7. DOI: https://doi.org/10.1038/s41467-018-02970-1.
Hossain, S. A. & Mazrin, M. (2023). Determination of organic carbon of soil by Walkley Black Method. DOI: https://doi.org/10.13140/RG.2.2.32699.80162/1
Kamal, A. K. (2021). Studi status hara nitrogen dalam tanah dan tanaman kapulaga (Amomum compactum) pada tiga tipe agroforestri. Fisheries Research, 140(1), 6.
Kementerian Pertanian. (2019). Standar operasional prosedur (SOP) kapulaga (Amomum cardamomum).
Kuswara, D. A., Hindarto, K. S., Utami, K. & Barchia, M. F. (2024). Potential land suitability for cardamom (Elettaria cardamomum) cultivation in Topos District, Lebong Regency. TERRA: Journal of Land Restoration, 7(2), 53–65. DOI: https://doi.org/10.31186/terra.7.2.53-65.
Lembaga Penelitian Tanah. (1979). Penuntun Analsa Fisika Tanah. Badan Penelitian dan Pengembangan Pertanian.
Mazahreh, S., Bsoul, M. & Hamoor, D. A. (2019). GIS approach for assessment of land suitability for different land use alternatives in semiarid environment in Jordan: Case study (Al Gadeer Alabyad-Mafraq). Information Processing in Agriculture, 6(1), 91–108. DOI: https://doi.org/10.1016/j.inpa.2018.08.004.
Mozaffari, H., Moosavi, A. A., Baghernejad, M. & Cornelis, W. (2024). Revisiting soil texture analysis: Introducing a rapid single-reading hydrometer approach. Measurement: Journal of the International Measurement Confederation, 228, 114330. DOI: https://doi.org/10.1016/j.measurement.2024.114330.
Penn, C. J. & Camberato, J. J. (2019). A critical review on soil chemical processes that control how soil pH affects phosphorus availability to plants. Agriculture (Switzerland), 9(6), 1–18. DOI: https://doi.org/10.3390/agriculture 9060120.
Soil Survey Staff. (2014). Keys to soil taxonomy (12th ed.). United States Department of Agriculture. http://www.nrcs.usda.gov/Internet/FSE_DOCUMENTS/nrcs142p2_051546.pdf .
Taghizadeh-Mehrjardi, R., Nabiollahi, K., Rasoli, L., Kerry, R. & Scholten, T. (2020). Land suitability assessment and agricultural production sustainability using machine learning models. Agronomy, 10(4), 1–20. DOI: https:// doi.org/10.3390/agronomy10040573.
Zhang, Y. Y., Wu, W. & Liu, H. (2019). Factors affecting variations of soil pH in different horizons in hilly regions. PLOS ONE, 14(6), 113. DOI: https://doi.org/10.1371/journal.pone.0218563.