An Estimation of Erodibility Status of Some Selected Arable Lands Using Nomographic Chart Method in Yola South, Adamawa State Nigeria

Main Article Content

A. A. Sadiq

Abstract

Aim: To estimate the soil erodibility status of some selected arable lands in Yola South using Nomograpic chart curve method.

Place and Duration of Study: Arable lands of Yola south LGA of Adamawa State, Nigeria during 2019-2020 seasons.

Methodology: Biophysical features of the selected farmlands were observed through on-farm survey where five representative soil samples were collected at the each selected farm locations in the study area to a depth of 15 cm using auger method, where soil properties that are related to erodibility indices (particle size distribution, porosity, Organic matter) were analyzed using standard laboratory procedures.

Results: The results shows that the soils at Yolde pate, Bole I, Modere and Anguwan Tabo farm locations  were very highly erodible with an estimated corresponding values of K =0.53, 0.58, 0.62 and 0.58 respectively. Similarly, areas with highly erodible soils were found at Wuro-chekke with an estimated K value of 0.40, Bole II 0.40, Mbamba Mission 0.42 and Mbamab Kona 0.43 correspondingly. Generally, the soils of the area were classified as high-very highly susceptible to erosion with an estimated K values ranges from 0.40-0.62 which might be connected to low OM content of soils (1.52-2.15 %), dominated with moderate to slow permeability status and platy structure.

Conclusion: It is therefore recommended the further research in order to validate this research work by the use empirical model methods and to make comparison and correlation with the soil properties for appropriate recommendation on conservation farming in the area.

Keywords:
Arable land, chart, erodibility, estimation, nomograph, Yola South, Nigeria

Article Details

How to Cite
Sadiq, A. A. (2020). An Estimation of Erodibility Status of Some Selected Arable Lands Using Nomographic Chart Method in Yola South, Adamawa State Nigeria. Asian Journal of Geological Research, 3(3), 6-14. Retrieved from https://journalajoger.com/index.php/AJOGER/article/view/30109
Section
Original Research Article

References

Glenn OS, Delmar DF, William JF, Richard KF. Soil water conservation engineering. 4th edition. New York: John Wills; 1993.

Bagarello V, Di Stefano C, Ferro V, Giordano G, Iovino M, Pampalone V. Estimating the USLE soil erodibility factor in Sicily, south Italy. Appl. Eng. Agric. 2012;28:199-206. Available:https://doi.org/10.13031/2013.41347

FAO; Soil erosion: the greatest challenge to sustainable soil management. Rome. 2019;100.

Adeniji FA. Re advocating conservation of soil and water resources for sustainable development in North Eastern Nigeria. Proceedings of the 4th Intrnational Conference of the Nigerian Society of Agricultural Engineers. 2003;25:7-16.

Michael AM, Ojha TP. Principles of Agricultural Engineering, Volume II, Jain Publishers, New Dehli, India; 2002.

Belasri A, Lakhouili A, Iben HO. Soil erodibility mapping and its correlation with soil properties of Oued El Makhazine watershed, Morocco. Journal of Materials and Environmental Sciences. 2017;8(9): 3208-3215. ISSN: 2028-2508

Wei H, Zhao WW, Wang J. Research process on soil erodibility, Chin. J. Appl. Ecol. 2017;28:2749–2759. Available:https://doi.org/10.13287/j.1001-9332.201708.011 (in Chinese with English abstract)

Bonilla CA, Johnson OI. Soil erodibility mapping and its correlation with soil properties in Central Chile, Geoderma. 2012;116–123. Available:https://doi.org/10.1016/j.geoderma.2012.05.005

Vaezi AR, Hasanzadeh H, Cerda A. Developing an erodibility triangle for soil textures in semi-arid regions, NW Iran, Catena. 2016a;142:221–232. Available:https://doi.org/10.1016/j.catena.2016.03.015

Vaezi AR, Abbasi M, Bussi G, and Keesstra S. Modeling sediment yield in semi-arid pasture Micro Catchments, NW Iran, Land Degrad. Dev., 2016b;28:1274–1286. Available:https://doi.org/10.1002/ldr.2526

Lin F, Zhu ZL, Zeng QC, An SS. Comparative study of three different methods for estimation of soil erodibility K in Yanhe Watershed of China, Acta Pedologi Sinica. 2017;54:1136–1146 Available:https://doi.org/10.11766/trxb201611290469 (in Chinese with English abstract)

Wang B, Zheng FL, Römkens MJM. Comparison of soil erodibility factors in USLE, RUSLE2, EPIC and Dg models based on a Chinese soil erodibility database, Acta Agr. 0Scand. BS. P. 2013; 63:69–79. Available:https://doi.org/10.1080/09064710.2012.718358

Wischmeier WH, Smith DD. Agr. Handbook, USA. 1978;537.

Ronard KG, Foster GR, Weesies GA, Mccool Dk, Yoder DC. Predicting Soil Erosion by Water. A Guide to Conservation Planning with the Revised Universal Soil loss Equation (RUSLE), USDA Agriculture Handbook. US Government Printing Office, Washington, D.C USA. 1997;703.

USDA; United State Department of Agronomy. Revised Universal Soil Loss Equation Version 2 (RUSLE2) Handbook Prepared by the USDA RUSLE Development Team: 1987;1:1-81.

Adebayo AA. Climate I (Sunshine, Temperature, Evaporation and Relative Humidity). In Adebayo AA, Tukur AL, editors. Adamawa State in Maps. Department of Geography, Federal University of Technology, Yola, Nigeria. 1999;26.

Trout TJ, Garcia-Castillas IG, Hart WE. Soil water engineering field and laboratory manual. M/S Eusaria.New-Delhi, India; 1987.

Walkey A, Black C. An examination of destjareff method for determining soil organic matter with chromatic acid titration method. Soil science society of America Journal. 1934;37:29-38.

USDA; United State Department of Agronomy. Soil permeability and soil structure code. Natl. Soil. Surv. Handbook, Depart. Agr. 1983;430.

Babayi AU, Hong AH, Tashiwa YI, Umara BG, Buba SY, Abdullahi AS. Extent and remedy on gully erosion in bangshika area adamawa state, Nigeria. Academic Research International. 2012:3;(2):138-144. ISSN-L: 2223-9553. ISSN: 2223-9944

Bradford JM., Farell DA, and Warson WE .Mathematical evaluation of Factors affecting gully stability. J. Soil Sci. Soc. Am. Proc. 1973;37:103-107.

Olivares B, Verbist K, Lobo D, Vargas R, Silva O. Evaluation of the USLE model to estimate water erosion in an Alfisol. JournalofSoilScience and PlantNutritionof Chile. 2011;11(2):71-84. Available:http://dx.doi.org/10.4067/S0718-95162011000200007

Olivares B, Lobo D. Evaluation of the magnitudes and temporal distributions of annual soil losses (1996-2000) in the town of Alto Loica, Comuna San Pedro of Chile.Geominas. 2010;38(52):69-72.

Olivares B, Lobo D, Verbist K. Application USLE model on erosion plots under soil conservation practices and water in San Pedro de Melipilla, Chile. RevistaCiencia e Ingeniería. 2015;36(1):3-10.

Olivares B, Hernández R, Coelho R, Molina JC, PereiraYAnalysis of climate types: Main strategies for sustainable decisions in agricultural areas of Carabobo, Venezuela. Scientia Agropecuaria, 2018;9(3):359-369. Available:https://dx.doi.org/10.17268/sci.agropecu.2018.03.07

Olivares B. Description of soil management in agricultural production systemsof sector La Hamaca in Anzoátegui, Venezuela. La Granja: Revista de Ciencias de la Vida. 2016;23(1):14–24. Available:https://doi.org/10.17163/lgr.n23.2016.02

Olivares B, López-Beltrán M, Lobo-Luján D. Changes in land use and vegetation in the agrarian community Kashaama, Anzoátegui, Venezuela: 2001-2013. Rev. Geog. Amer. Central. 2019;2(63):269-291. Available:http://dx.doi.org/10.15359/rgac.63-2.10

Olivares B. López M. Normalized Difference Vegetation Index (NDVI) applied to the agricultural indigenous territory of Kashaama, Venezuela.UNED Research Journal. 2019;11(2):112-121. Available:https://doi.org/10.22458/urj.v11i2.2299