Suitability Analysis for Yam Production in Nigeria using Satellite and Observation Data

Authors

  • Tertsea Igbawua
    Department of Physics, Federal University of Agriculture, Makurdi, Nigeria
  • Martha Hembafan Gbanger
    Department of Physics, Federal University of Agriculture, Makurdi, Nigeria
  • Fanan Ujoh
    Center for sustainability and Resilient Infrastructure and Communities (SaRIC), School of the Built Environment and Architecture, London South Bank University, London, UK

Keywords:

Analytical hierarchy process, Yam production, Nigeria, NDVI, Yield gap, Multi-criterion decision making

Abstract

Identification of suitable areas for yam production is critical for ensuring yield in yam production in Nigeria. The study is aimed at determining suitable lands for yam production in Nigeria. Climate, soil, and environmental parameters that have a high contribution to yam production were used in developing a yam production suitability map using the Analytical Hierarchy Process (AHP). The AHP was used in deriving weights through a pairwise comparison technique. According to the findings, highly suitable (HS), suitable (S), marginally suitable (MS), and not suitable (NS) regions accounted for 11.79, 82.68, 4.05, and 1.47% of the study area, respectively. The Normalized Difference Vegetation Index (NDVI), a measure of vegetation vigor, was higher in HS, followed by S regions, and then MS regions. Similarly, climate variables in HS regions were more favorable for plant growth, followed by S regions and MS regions. The correlation between precipitation and temperature is high and significant only in the HS class, despite the fact that NDVI and climate variables are significantly connected in all the suitability classes. The output map, thus determined, provides information on highly suitable, suitable or marginally suitable lands that are of practical importance to agriculturists.

Author Biography

Martha Hembafan Gbanger

Department of Physics,

Dimensions

United Nations World Food Programme (UNWFP) Live Hunger Map. Available online at: https://hungermap.wfp.org/ Accessed: 13 June (2022).

G. Laganda, 2021 is going to be a bad year for world hunger: How climate action can make a difference. United Nations World Food Programme Food Systems Summit 2021.

W. Nwankwo, K. E. Ukhurebor “Big data analytics: A single window IoT-enabled climate variability system for all-year-round vegetable cultivation” IOP Conf. Ser.: Earth Environ. Sci. 655 (2021), https://doi.org/10.1088/1755-1315/655/1/012030

R. Blench, Archaeology, language, and the African past. Altamira Press, 2006. ISBN 9780759104655

O. A. Awoniyi & B. T. Omonona, “Production efficiency in yam based enterprises in Ekiti state, Nigeria”, Journal of Central European Agriculture 7 (2006) 627.

P. Ike, O. Inoni, “Determinants of yam production and economic efficiency among small-holder farmers in southeastern Nigeria”, Journal of Central European Agriculture 7 (2006) 337

N. Verter & V. Be?cv´a?rov´a, “An analysis of yam production in Nigeria”, Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 63 (2015) 659

U. Apu,, N. Ani, M.N.B. Agbarevo, C.I. Ugoaja, K.C. Ekwe & L.O. Obinna, “Determinants of sustainable use of improved yam production practices among farmers in Ebonyi State, Nigeria”, Nigerian Agricultural Journal 51 (2020) 279.

J. Adejuwon, Food Security, Climate Variability and Climate Change in Sub Saharan West Africa: Assessments of Impacts and Adaptations to Climate Change (AIACC), Washington D.C.: International START Secretariat

(2006).

N. Mahmood, B. Ahmad, S. Hassan & B. Khuda, “Impact of temperature ADN precipitation on rice productivity in rice-wheat cropping system of Punjab Province”, Journal of Animal and Plant Sciences 22 (2012) 993.

E. M. Adamgbe & F. Ujoh, “Variations in climatic parameters and food crop yields: implications on food security in Benue state, Nigeria”, Confluence Journal of Environmental Studies 7 (2012) 59, http://www.journalhome.com/cjes/

E. M. Adamgbe & F. Ujoh,. “Effect of variability in rainfall characteristics on maize yield in Gboko, Nigeria”, Journal of Environmental Protection 4 (2013) 88. https://doi.org/10.4236/jep.2013.49103

F. Ujoh, Assessment of environmental impact of limestone mining and cement production at Yandev, Central Nigeria, Ph.D. Thesis, University of Abuja, Nigeria (2013).

F. Ujoh, T. Igbawua & M.O. Paul, “Suitability mapping for rice cultivation in Benue state, Nigeria using Satellite Data”, Geo-spatial Information Science, 22 (2019) 1. https://doi.org/10.1080/10095020.2019.1637075

I. U, Siloko, K. E. Ukhurebor, E. A. Siloko, E. Enoyoze, A. O. Bobadoye, C. C. Ishiekwene, O. O. Uddin & W. Nwankwo, “Effects of some meteorological variables on cassava production in Edo State, Nigeria via density estimation”, Scientific African 13 (2021), https://doi.org/10.1016/j.sciaf.2021.e00852

K. E. Ukhurebor & P. A. Aidonojie, “The influence of climate change on food innovation technology: review on topical developments and legal framework” Agric & Food Secur. 10 (2021) https://doi.org/10.1186/s40066-021-00327-4

M. Ikusemoran & T. Hajjatu, “Site suitability for yam, rice and cotton production in Adamawa state of Nigeria: a geographic information system (GIS) approach” FUTY Journal of the Environment 4 (2010), https://doi.org/10.4314/fje.v4i1.48004

J. J. Kunda & A. A. Jajere, “Land suitability analysis for agricultural planning using GIS and multi criteria decision analysis approach in Greater Karu Urban Area, Nasarawa state, Nigeria”, African Journal of Agricultural

Science and Technology (AJAST) 1 (2013) 14.

M. Y. Ahmed & D. N. Jeb, “land suitability for sorghum using multicriteria evaluation (MCE) and analytical hierarchy process (AHP) in Bunkure Kano state, Nigeria”, IOSR Journal of Agriculture and Veterinary Science

(2014) 25.

A. A. Zemba, J. Kefas & A. Hamza, “Suitability analysis for decision-making in cassava (Manihot Spp.) cultivation

in southern part of Adamawa state, Nigeria”, 16 (2018), https://doi.org/10.4314/gjass.v16i1.1

O. N. Ajala, G. E. Kpadonou, T.A. Adjadeh, P. B. Akponikp`e & J. O. Olaniyan, “Soil suitability evaluation for production of improved cassava (Manihot esculenta) varieties in Kwara state, Nigeria: A GIS-Based

and Multi-Criteria analysis”,West African Journal of Applied Ecology 28 (2020) 158.

K. D. Peter & A. S. Umweni, “Evaluation of land suitability for citrus cultivation in Khana Local Government Area of Rivers State, Southern Nigeria”, Ilmu Pertanian (Agricultural Science) 6 (2021) 1, http://dx.doi.org/10.22146/ipas.60307

P. E. Tenkap & B. O. Balogun, “Land suitability for cocoa production in Idanre, Ondo State, Nigeria. Journal of Agricultural Biotechnology and Sustainable Development” 12 (2020) 19, https://doi.org/10.5897/JABSD2019.0345

S. Abdullahi, R. Ismail, S. Zaibon, N. F. Ahmad & S. S. Noma, “Land suitability classification for millet production in Katsina state, Northwest, Nigeria”, World Journal of Innovative Research 10 (2021) 55.

M. A. Ayoade, (2016). “Suitability assessment and mapping of Oyo state, Nigeria, for rice cultivation using GIS”, Theoretical and Applied Climatology 129 (2016) 1341, https://doi.org/10.1007/s00704-016-1852-4

H. Ak{nc{, A. Y. O¨ zalp & B. Turgut, “Agricultural land use suitability analysis using GIS and AHP technique”, Computers and Electronics in Agriculture 97 (2013) 71, https://doi.org/10.1016/j.compag.2013.07.006

R. C. Abah &B. M. Petja, “Crop suitability mapping for rice, cassava, and yam in North Central Nigeria”, Journal of Agricultural Science 9 (2017) 96

B. M. Macaulay, “Land degradation in northern Nigeria: the implications of human-related and climatic factors”, Afr. J. Environ. Sci. Technol. 8 (2014) 267, https://doi.org/10.5897/AJEST2013.1584

O. M. Eludoyin & I. O. Adelekan, “The physiologic climate of Nigeria”, International Journal of Biometeorology 57 (2012) 241, https://doi.org/10.1007/s00484-012-0549-3

I. Elisha, B. A. Sawa & E. U. Lawrence, “Evidence of climate change and adaptation strategies among grain farmers in Sokoto state, Nigeria”,IOSR Journal of Environmental Science, Toxicology and Food Technology (IOSR-JESTFT) 11 (2017) 1. http://www.iosrjournals.org/iosrjestft/papers/vol11-issue%203/Version-2/A1103020107.pdf

N. E. Ebele & N. V. Emodi, “Climate change and its impact in Nigerian economy”, Journal of Scientific Research & Reports, 10 (2016) 1, http://www.journaljsrr.com/index.php/JSRR/article/view/21917/40737

T. L. Saaty, “A Scaling method for priorities in hierarchical structures”, Journal of Mathematical Psychology 2 (1977) 234, https://doi.org/10.1016/0022-2496

J. O. S. Lopez, R. S. Lopez, N. B. R. Bricen o, D. G. Ferna´ndez, R. E. T. Murga, R. D. I. Trigoso, E. B. Castillo, M. O. Cruz & M. A. B. Gurbillo´n, “Analytic hierarchy process (AHP) for a landfill site selection in Chachapoyas and Huancas (NW Peru): Modeling in a GIS-RS Environment”, Advances in Civil Engineering (2022), https://doi.org/10.1155/2022/9733322

M. Kumar, P. Singh & P. Singh, “Fuzzy AHP based GIS and remote sensing techniques for the groundwater potential zonation for Bundelkhand Craton Region, India”, Geocarto International (2021), https://doi.org/10.1080/10106049.2021.1946170

M. Pachaudhuri & S. Biswas, “Application of AHP with GIS in drought risk assessment for Puruliya district, India”, Nat. Hazards (2016), https://doi.org/10.1007/s11069-016-2526-3

T. R. N. Ahamed, K. G. Rao & J. S. R. Murthy, “GIS-based fuzzy membership model for crop-land suitability analysis”, Agric. Syst. 63 (2000) 75.

A. El Jazouli, A. Barakat & R. Khellouk, “GIS-multicriteria evaluation using AHP for landslide susceptibility mapping in Oum Er Rbia high basin (Morocco)”, Geoenviron. Disasters 6 (2019) 3, https://doi.org/10.1186/s40677-019-0119-7

J. E. Pinzon & C. J. Tucker, “A non-stationary 1981-2012 AVHRR NDVI3g Time Series”, Remote Sens. 6 (2014) 6929

C. J. Tucker, J. E. Pinzon, M. E. Brown, D. A. Slayback, E. W. Pak, R. Mahoney, E. F. Vermote & N. Saleous, “An extended AVHRR-8km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data”, Int. J. Remote Sensing 26 (2005) 4485.

United State Geological Survey (USGS), NDVI, the foundation for Remote Sensing, Available at https://www.usgs.gov/special-topics/remotesensing-phenology/science/ndvi-foundation-remote-sensing-phenology, published in 2018. Retrieved on 8th June, 2022.

L. Szab´o, B. De´ak, T. B´?r´o, G.J. Dyke & S. Szab´o, “NDVI as a proxy for estimating sedimentation and vegetation spread in artificial lakes—monitoring of spatial and temporal changes by using satellite images overarching three decades”, Remote Sensing 12 (2020) 1468. https://doi.org/10.3390/rs12091468

C. L. A. Asadu, A. G. O. Dixon, G. M. Ajogu, M. Ugadu & I. Edeh, “Comparison of the suitability of contiguous fallow forest lands for cassava, yam, cocoyam and sweet potato production in Nsukka, southeastern

Nigeria”, Path of Science 3 (2017) 1.

Food and Agriculture Organization (FAO), Catalogue of crops used in the bioenergy and food security rapid appraisal (BEFS RA). Available at https://www.fao.org/3/bp841e/bp841e.pdf, Accessed on 6th June, 2022

[44] F. Adifon, G. Atindogb´e, D. Orou Bello, I. Balogoun, I. Yabi, J. Dossou, L. Ahoton & A. Sa¨?dou, “Effect of climate variability on yams (dioscorea spp.) production in central and northern Benin”, American Journal of Climate Change 9 (2020) 423, https://doi.org/10.4236/ajcc.2020.94027.

A. K. Kadam, S. S. Kale, N. N. Pande, N. J. Pawar, &R. N. Sankhu. “Identifying potential rainwater harvesting sites of a semi-arid, basaltic region of Western India, using SCS-CN method”, Water Resource Manage 26 (2012) 2537.

J. Poesen, “The Influence of Slope Angle on Infiltration Rate and Hortonian Overland Flow Volume”, Z. Geomorphol. 49 (1984) 117.

R. Morbidelli, C. Saltalippi, A. Flammini, R. S. Govindaraju, “Role of slope on infiltration: A review”, Journal of Hydrology 557 (2018) 87. doi:10.1016/j.jhydrol.2018.01.019

H. Santin-Janin, M. Garel, J. L. Chapuis, et al., “Assessing the performance of NDVI as a proxy for plant biomass using non-linear models: a case study on the Kerguelen archipelago”, Polar Biol. 32 (2009) 861, https://doi.org/10.1007/s00300-009-0586-5

T. Igbawua, J. Zhang, Q. Chang & F. Yao, “Vegetation dynamics in relation with climate over Nigeria from 1982 to 2011”, Environ. Earth. Sci. 75 (2016) 518. https://doi.org/10.1007/s12665-015-5106-z

A. Amaefula, “Yam production and its determinants in Nigeria”, Nigerian Agricultural Journal 52 (2021) 116.

B. Koigi, International Institute of Tropical Agriculture (IITA) researchers achieve 23 tonnes per hectare yield for yam in Nigeria, Africa Agribusiness, Available online on 2020 at 2022 from https://africabusinesscommunities.com/agribusiness/news/iitaresearchers- Accessed on 16th June.

Published

2022-11-06

How to Cite

Suitability Analysis for Yam Production in Nigeria using Satellite and Observation Data. (2022). Journal of the Nigerian Society of Physical Sciences, 4(4), 883. https://doi.org/10.46481/jnsps.2022.883

Issue

Volume 4, Issue 4, November 2022

Section

Original Research
Copyright & Licensing

Copyright (c) 2022 Tertsea Igbawua, Martha Hembafan Gbanger, Fanan Ujoh

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Suitability Analysis for Yam Production in Nigeria using Satellite and Observation Data. (2022). Journal of the Nigerian Society of Physical Sciences, 4(4), 883. https://doi.org/10.46481/jnsps.2022.883

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