Study Assessment of Soil and Water Quality Conditions on Barren Agricultural Lands in Tropical Regions

Authors

  • Ari Handriatni

    Department of Agrotechnology, Faculty of Agriculture, University of Pekalongan, Pekalongan 51119, Indonesia
  • Heri Ariadi

    Department of Aquaculture, Faculty of Fisheries, University of Pekalongan, Pekalongan 51119, Indonesia
  • Farchan Mushaf Al Ramadhani

    Department of Agrotechnology, Faculty of Agriculture, University of Pekalongan, Pekalongan 51119, Indonesia
  • Syakiroh Jazilah

    Department of Agrotechnology, Faculty of Agriculture, University of Pekalongan, Pekalongan 51119, Indonesia
  • Sajuri

    Department of Agrotechnology, Faculty of Agriculture, University of Pekalongan, Pekalongan 51119, Indonesia

DOI:

https://doi.org/10.30564/jees.v6i3.6977
Received: 31 July 2024 | Revised: 26 August 2024 | Accepted: 4 September 2024 | Published Online: 29 September 2024

Abstract

Barren land is non-productive land that is difficult to use as a medium for integrated agricultural cultivation. The aim of this research is to determine the profile and feasibility status of land in barren agricultural areas quantitatively. The research method used was descriptive with purposive data collection. Data analysis included SQI and WQI parametric analyses. The research results indicate that the ideal soil parameter is only pH 7.5-7.7, while for water parameters it is pH 8.0-8.1, meeting water quality standards. SQI values range from 0.44 to 0.49 and WQI from 0.45 to 0.57. SQI and WQI values at the research site fall into the poor category, indicating difficulty in converting the land into agricultural use. SQI and WQI show a strong correlation as depicted in the model Y = 4.113 + 0.026 (R2 = 0.789). Correlation tests showed strong correlations in soil between redox potential and soil pH (0.449), and redox potential and organic matter (0.377). Weak correlations were found between cation exchange capacity and soil pH (0.009), and nitrate and total N (0.517). In water, strong correlations were found between water pH and nitrite (0.302) and ammonia (0.529). Additionally, water pH showed weak correlations with carbon dioxide (0.752) and organic matter (0.659). The values of soil and water parameters have an immediate impact on plant growth patterns. Therefore, integrated agricultural cultivation patterns need to be developed. In conclusion, empirically, the condition of barren land indicates poor land use feasibility. The poor profile and biophysical feasibility conditions of barren land are attributed to environmental pollution and runoff from other land areas.

Keywords:

Biophysics; Plant; SQI; WQI

References

[1] Peng, Z., He, Y., Guo, Z., et al., 2023. Species-specific arsenic species and health risk assessment in seaweeds from tropic coasts of South China Sea. Ecotoxicology and Environmental Safety. 267, 115634. DOI: https://doi.org/10.1016/j.ecoenv.2023.115634

[2] Mulya, S.P., Hudalah, D., 2024. Agricultural intensity for sustainable regional development: A case study in peri-urban areas of Karawang Regency, Indonesia. Regional Sustainability. 5(1), 100117. DOI: https://doi.org/10.1016/j.regsus.2024.100117

[3] Tiwari, P., Poudel, K.P., Yang, J., et al., 2023. Marginal agricultural land identification in the Lower Mississippi Alluvial Valley based on remote sensing and machine learning model. International Journal of Applied Earth Observation and Geoinformation. 125, 103568. DOI: https://doi.org/10.1016/j.jag.2023.103568

[4] Mosharaf, M.K., Gomes, R.L., Cook, S., et al., 2024. Wastewater reuse and pharmaceutical pollution in agriculture: Uptake, transport, accumulation and metabolism of pharmaceutical pollutants within plants. Chemosphere. 364, 143055. DOI: https://doi.org/10.1016/j.chemosphere.2024.143055

[5] Kane, J.L., Schartiger, R.G., Daniels, N.K., et al., 2023. Bioenergy crop Miscanthus x giganteus acts as an ecosystem engineer to increase bacterial diversity and soil organic matter on marginal land. Soil Biology and Biochemistry. 186, 109178. DOI: https://doi.org/10.1016/j.soilbio.2023.109178

[6] Saini, K., Singh, J., Malik, S., et al., 2024. Metal-Organic Frameworks: A promising solution for efficient removal of heavy metal ions and organic pollutants from industrial wastewater. Journal of Molecular Liquids. 399, 124365. DOI: https://doi.org/10.1016/j.molliq.2024.124365

[7] Zimmer, H., Tran, L.D., Dang, T.T., et al., 2022. Rehabilitating forest and marginal land using native species in mountainous northern Vietnam. Trees, Forests and People. 10, 100323. DOI: https://doi.org/10.1016/j.tfp.2022.100323

[8] Tan, Y., Chen, H., Xiao, W., et al., 2021. Influence of farmland marginalization in mountainous and hilly areas on land use changes at the county level. Science of The Total Environment. 794, 149576. DOI: https://doi.org/10.1016/j.scitotenv.2021.149576

[9] Meehan, P., Burke, B., Doyle, D., et al., 2017. Exploring the potential of grass feedstock from marginal land in Ireland: Does marginal mean lower yield? Biomass and Bioenergy. 107, 361–369. DOI: https://doi.org/10.1016/j.biombioe.2017.10.014

[10] Roy, S.K., Alam, M.T., Mojumder, P., et al., 2024. Dynamic assessment and prediction of land use alterations influence on ecosystem service value: A pathway to environmental sustainability. Environmental and Sustainability Indicators. 21, 100319. DOI: https://doi.org/10.1016/j.indic.2023.100319

[11] Anda, M., Sukarman, S., Yatno, E., et al., 2024. Mapping the spatial distribution of pyrite and evaluating soil and water properties in idle swamp land: A strategy to promote sustainable paddy field establishment and prevent land degradation. CATENA. 241, 107985. DOI: https://doi.org/10.1016/j.catena.2024.107985

[12] Makungwe, M., Chabala, L.M., Van Dijk, M., et al., 2021. Assessing land suitability for rainfed paddy rice production in Zambia. Geoderma Regional. 27, e00438. DOI: https://doi.org/10.1016/j.geodrs.2021.e00438

[13] Omotayo, A. O., Omotayo, O. P., 2024. Potentials of microbe-plant assisted bioremediation in reclaiming heavy metal polluted soil environments for sustainable agriculture. Environmental and Sustainability Indicators. 22, 100396. DOI: https://doi.org/10.1016/j.indic.2024.100396

[14] Rampa, A., Lovo, S., 2023. Revisiting the effects of the Ethiopian land tenure reform using satellite data. A focus on agricultural productivity, climate change mitigation and adaptation. World Development. 171, 106364. DOI: https://doi.org/10.1016/j.worlddev.2023.106364

[15] APHA American Public Health Association, 2005. Standard Methods for the Examination of Water and Wastewater. Washington DC: APHA (American Public Health Association). 1288 p.

[16] Tan, K.H., 2005. Soil Sampling. Preparation, and Analysis. CRC Press. DOI: https://doi.org/10.1201/9781482274769

[17] Ma, Z., Song, X., Wan, R., et al., 2013. A modified water quality index for intensive shrimp ponds of Litopenaeus vannamei. Ecological Indicators. 24, 287–293. DOI: https://doi.org/10.1016/j.ecolind.2012.06.024

[18] Tukey, J.W., Mosteller, F., Hoaglin, D.C., 2000. Understanding Robust and Exploratory Data Analysis. New York: J. Wiley. 480 p.

[19] Kay, P., Blackwell, P.A., Boxall, A.B.A., 2005. Column studies to investigate the fate of veterinary antibiotics in clay soils following slurry application to agricultural land. Chemosphere. 60(4), 497–507. DOI: https://doi.org/10.1016/j.chemosphere.2005.01.028

[20] Di Loreto Di Raimo, L.A., Couto, E.G., Poppiel, R.R., et al., 2024. Sand subfractions by proximal and satellite sensing: Optimizing agricultural expansion in tropical sandy soils. CATENA. 234, 107604. DOI: https://doi.org/10.1016/j.catena.2023.107604

[21] Yu, Z., Zhang, F., Gao, C., et al., 2024. The potential for bioenergy generated on marginal land to offset agricultural greenhouse gas emissions in China. Renewable and Sustainable Energy Reviews. 189, 113924. DOI: https://doi.org/10.1016/j.rser.2023.113924

[22] Zhang, T., Li, Y., Wang, M., 2024. Remote sensing-based prediction of organic carbon in agricultural and natural soils influenced by salt and sand mining using machine learning. Journal of Environmental Management. 352, 120107. DOI: https://doi.org/10.1016/j.jenvman.2024.120107

[23] Islam, M.S., Nakagawa, K., Yu, Z.-Q., et al., 2023. Coprostanol adsorption behavior in agricultural soil, riverbed sediment, and sand. Journal of Environmental Chemical Engineering. 11(3), 110029. DOI: https://doi.org/10.1016/j.jece.2023.110029

[24] Ghaneei-Bafghi, M.-J., Feiznia, S., Mokhtari, A.R., et al., 2024. Agricultural soil contamination and degradation near a mining area in an arid region. Journal of Geochemical Exploration. 256, 107349. DOI: https://doi.org/10.1016/j.gexplo.2023.107349

[25] Sharofiddinov, H., Islam, M., Kotani, K., 2024. How does the number of water users in a land reform matter for water availability in agriculture? Agricultural Water Management. 293, 108677. DOI: https://doi.org/10.1016/j.agwat.2024.108677

[26] Ariadi, H., Fahrurrozi, A., Al Ramadhani, F.M., 2024. Outlook Silvofishery. Indramayu: Penerbit ADAB. 75 p.

[27] Ariadi, H., Azril, M., Mujtahidah, T., 2023. Water Quality Fluctuations in Shrimp Ponds During Dry and Rainy Seasons. Croatian Journal of Fisheries. 81(3), 127–137. DOI: https://doi.org/10.2478/cjf-2023-0014

[28] Sinha, E., Calvin, K.V., Kyle, P.G., et al., 2022. Implication of imposing fertilizer limitations on energy, agriculture, and land systems. Journal of Environmental Management. 305, 114391. DOI: https://doi.org/10.1016/j.jenvman.2021.114391

[29] Jamal Nasir, M., Farooq Haider, M., Ali, Z., et al., 2024. Evaluation of soil quality through simple additive soil quality index (SQI) of Tehsil Charsadda, Khyber Pakhtunkhwa, Pakistan. Journal of the Saudi Society of Agricultural Sciences. 23(1), 42–54. DOI: https://doi.org/10.1016/j.jssas.2023.09.001

[30] Wan, P., Zhou, Z., Yuan, Z., et al., 2024. Fungal community composition changes and reduced bacterial diversity drive improvements in the soil quality index during arable land restoration. Environmental Research. 244, 117931. DOI: https://doi.org/10.1016/j.envres.2023.117931

[31] Ariadi, H., Mujtahidah, T., Wafi, A., 2023. Implications of Good Aquaculture Practice (GAP) Application on Intensive Shrimp Ponds and The Effect on Water Quality Parameter Compatibility. Journal of Aquaculture and Fish Health. 12(2), 259–268. DOI: https://doi.org/10.20473/jafh.v12i2.32371

[32] Ariadi, H., Fadjar, M., Mahmudi, M., 2019. Financial Feasibility Analysis of Shrimp Vannamei (Litopenaeus vannamei) Culture in Intensive Aquaculture System with Low Salinity. Economic and Social of Fisheries and Marine Journal. 007(01), 81–94. DOI: https://doi.org/10.21776/ub.ecsofim.2019.007.01.08

[33] Shanmugasundharam, A., Akhina, S.N., Adhithya, R.P., et al., 2023. Water quality index (WQI), multivariate statistical and GIS for assessment of surface water quality of Karamana river estuary, west coast of India. Total Environment Research Themes. 6, 100031. DOI: https://doi.org/10.1016/j.totert.2023.100031

[34] Seifi, A., Dehghani, M., Singh, V.P., 2020. Uncertainty analysis of water quality index (WQI) for groundwater quality evaluation: Application of Monte-Carlo method for weight allocation. Ecological Indicators. 117, 106653. DOI: https://doi.org/10.1016/j.ecolind.2020.106653

[35] Kan, J.-C., Ferreira, C.S.S., Destouni, G., et al., 2023. Predicting agricultural drought indicators: ML approaches across wide-ranging climate and land use conditions. Ecological Indicators. 154, 110524. DOI: https://doi.org/10.1016/j.ecolind.2023.110524

[36] Ariadi, H., Madusari, B.D., Mardhiyana, D., 2022. Analisis pengaruh daya dukung lingkungan budidaya terhadap laju pertumbuhan udang vaname (L. vannamei). EnviroScienteae. 18(1), 29. DOI: https://doi.org/10.20527/es.v18i1.12976

[37] Wang, C., Zhang, G., Zhu, P., et al., 2023. Spatial variation of soil functions affected by land use type and slope position in agricultural small watershed. CATENA. 225, 107029. DOI: https://doi.org/10.1016/j.catena.2023.107029

[38] Young, E.H., Unc, A., 2023. A review of nematodes as biological indicators of sustainable functioning for northern soils undergoing land-use conversion. Applied Soil Ecology. 183, 104762. DOI: https://doi.org/10.1016/j.apsoil.2022.104762

[39] Yang, H., Sheng, R., Zhang, Z., et al., 2016. Responses of nitrifying and denitrifying bacteria to flooding-drying cycles in flooded rice soil. Applied Soil Ecology. 103, 101–109. DOI: https://doi.org/10.1016/j.apsoil.2016.03.008

[40] Ariadi, H., Madusari, B.D., Mardhiyana, D., 2024. Dynamic Modelling Analysis on The Effectiveness of Coastal Land Resources for Aquaculture Activities Utilization. Jurnal Pengelolaan Sumberdaya Alam Dan Lingkungan (Journal of Natural Resources and Environmental Management). 14(1), 174--180. DOI: https://doi.org/10.29244/jpsl.14.1.174

[41] Madusari, B.D., Ariadi, H., Mardhiyana, D., 2023. The dynamics of Chlorella spp. abundance and its relationship with water quality parameters in intensive shrimp ponds. Biodiversitas Journal of Biological Diversity. 24(5), 2919--2926. DOI: https://doi.org/10.13057/biodiv/d240547

[42] Kalinski, J.-C.J., Noundou, X.S., Petras, D., et al., 2024. Urban and agricultural influences on the coastal dissolved organic matter pool in the Algoa Bay estuaries. Chemosphere. 355, 141782. DOI: https://doi.org/10.1016/j.chemosphere.2024.141782

[43] Stow, C.A., Rowe, M.D., Godwin, C.M., et al., 2023. Lake Erie hypoxia spatial and temporal dynamics present challenges for assessing progress toward water quality goals. Journal of Great Lakes Research. 49(5), 981–992. DOI: https://doi.org/10.1016/j.jglr.2023.02.008

[44] Wang, W., Yu, Z., Song, X., et al., 2022. Hypoxia formation in the East China Sea by decomposed organic matter in the Kuroshio Subsurface Water. Marine Pollution Bulletin. 177, 113486. DOI: https://doi.org/10.1016/j.marpolbul.2022.113486

[45] Garofalo, D.F.T., Novaes, R.M.L., Pazianotto, R.A.A., et al., 2022. Land-use change CO2 emissions associated with agricultural products at municipal level in Brazil. Journal of Cleaner Production. 364, 132549. DOI: https://doi.org/10.1016/j.jclepro.2022.132549

[46] Kamaludin, M., Narmaditya, B.S., Wibowo, A., et al., 2021. Agricultural land resource allocation to develop food crop commodities: lesson from Indonesia. Heliyon. 7(7), e07520. DOI: https://doi.org/10.1016/j.heliyon.2021.e07520

[47] Lisenbee, W., Saha, A., Mohammadpour, P., et al., 2024. Water quality impacts of recycling nutrients using organic fertilizers in circular agricultural scenarios. Agricultural Systems. 219, 104041. DOI: https://doi.org/10.1016/j.agsy.2024.104041

[48] Lessmann, M., Kanellopoulos, A., Kros, J., et al., 2024. A spatially explicit assessment on the carrying capacity of livestock under minimum feed imports and artificial fertilizer use in Dutch agriculture. Agricultural Systems. 220, 104092. DOI: https://doi.org/10.1016/j.agsy.2024.104092

[49] Yang, J., Ma, R., Yang, L., 2024. Spatio-temporal evolution and its policy influencing factors of agricultural land-use efficiency under carbon emission constraint in mainland China. Heliyon. 10(4), e25816. DOI: https://doi.org/10.1016/j.heliyon.2024.e25816

[50] Talbot, M.-H., Monfet, D., 2024. Development of a crop growth model for the energy analysis of controlled agriculture environment spaces. Biosystems Engineering. 238, 38–50. DOI: https://doi.org/10.1016/j.biosystemseng.2023.12.012

[51] Hamilton, A.N., Gibson, K.E., Amalaradjou, M.A., et al., 2023. Cultivating Food Safety Together: Insights About the Future of Produce Safety in the U.S. Controlled Environment Agriculture Sector. Journal of Food Protection. 86(12), 100190. DOI: https://doi.org/10.1016/j.jfp.2023.100190

[52] Aditya, F., Gusmayanti, E., Sudrajat, J., 2021. Pengaruh Perubahan Curah Hujan terhadap Produktivitas Padi Sawah di Kalimantan Barat. Jurnal Ilmu Lingkungan. 19(2), 237–246. DOI: https://doi.org/10.14710/jil.19.2.237-246

[53] Birkhofer, K., Bird, T., Alfeus, M., et al., 2024. Smallholder agriculture in African dryland agroecosystems has limited impact on trophic group composition, but affects arthropod provision of ecosystem services. Agriculture, Ecosystems & Environment. 363, 108860. DOI: https://doi.org/10.1016/j.agee.2023.108860

[54] Torres-Bejarano, F., García-Gallego, J., Salcedo-Salgado, J., 2023. Numerical modeling of nutrient transport to assess the agricultural impact on the trophic state of reservoirs. International Soil and Water Conservation Research. 11(1), 197–212. DOI: https://doi.org/10.1016/j.iswcr.2022.06.002

[55] Solanki, M.K., Joshi, N.C., Singh, P.K., et al., 2024. From concept to reality: Transforming agriculture through innovative rhizosphere engineering for plant health and productivity. Microbiological Research. 279, 127553. DOI: https://doi.org/10.1016/j.micres.2023.127553

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How to Cite

Ari Handriatni, Heri Ariadi, Al Ramadhani, F. M., Jazilah, S., & Sajuri. (2024). Study Assessment of Soil and Water Quality Conditions on Barren Agricultural Lands in Tropical Regions. Journal of Environmental & Earth Sciences, 6(3), 176–185. https://doi.org/10.30564/jees.v6i3.6977

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Vol. 6 , Iss. 3 (October 2024): In progress

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Copyright © 2024 Ari Handriatni, Heri Ariadi, Farchan Mushaf Al Ramadhani, Syakiroh Jazilah; Sajuri

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This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.

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