Abstract
This research demonstrates the use of Earth-based observations to evaluate factors affecting wheat production. In Kenya, there has been an over-reliance on maize production and this cannot feed the increasing population hence a need to shift to wheat to enhance food security. Wheat farming is faced with the problem of climate change, drought, fertilizer application, pests and diseases, and low prices. The objective of this research is achieved through the characterization of climatic patterns, correlating the effect of change of Land use and wheat growth seasons on wheat production. The analyses carried out are drought, change in Land use Land Cover and wheat growing seasons. Extreme cases of meteorological drought using SPEI-1, occurred in 2001 October, November (− 2.175, − 2.08309) and 2016 July (− 2.2148) Whereas SPEI-3 were in 1997 February (− 2.149), 2001 November and December (− 2.1423, − 2.346), 2002 January and February (− 2.347, − 2.1380) SPEI values respectively. Extreme cases of Agricultural drought months are 1986 September (− 127.986), 1989 November (− 132.258), 1996 September and October (− 130.372, − 145.085) and 2013 February (− 120.184) NDVI Anomaly values. SPEI 1 and 3 were considered best in drought analysis because wheat is rainfed, takes a minimum duration of 3 months to grow hence the intensity of drought easily understood. A strong correlation is in the change of Forestland (R = 0.75) and Bare land (R = 0.66), moderate correlation in Wheat plantations (R = 0.42), a weak correlation in vegetation (R = 0.32) and a very weak correlation between length of seasons (R = 0.16) to wheat production. The year 2000, 2008 and 2009 had low whereas 2017 and 2018 had high wheat production (7600, 5200, 4975, 46,450 and 27,800 tonnes respectively). The future analysis should focus on prediction analysis of both drought, Land use Land Cover Changes and wheat growing seasons.
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References
A Science Technology Indicators Agricultural Research and Development in Pakistan (2007)
Abdel I, Hussein G, Mohammed A (2019) 2d-Chapter-3_FINAL, pp 1–174
Abdullah HM (2014) Standardized precipitation evapotranspiration index (SPEI) based drought assessment in Bangladesh. In: Proceedings of 5th international conference on environmental ASP. Bangladesh [ICEAB 2014], pp 40–42
Alexander WJ (1995) Floods, droughts and climate change. South Afr J Sci 91(8):403–408
Ali S et al (2017) Climate change and its impact on the yield of major food crops: evidence from pakistan. Foods 6(6):39
Alwesabi MS (2012) MODIS NDVI satellite data for assessing drought in Somalia during the period 2000–2011. Report no. 257
American L, Flood C, Monitor D, Workshop T (2014) Drought concepts and how they are represented in the LAFDM
Ayugi BO, Wang W, Chepkemoi D (2016) Analysis of spatial and temporal patterns of rainfall variations over Kenya. Environ Earth Sci 6(11):69–83
Bajkani JK, Ahmed K, Afzal M, Jamali AR, Bhatti IB, Iqbal S (2014) Factors affecting wheat production in Balochistan Province of Pakistan. IOSR J Agric Vet Sci 7(12):73–80
Burke M, Hsiang SM, Miguel E (2015) Global non-linear effect of temperature on economic production. Nature 527(7577):235–239
Calories A et al. Chapter 10: regression and correlation, pp 343–392
Challenges opportunities (2016) State of the world’s forests
Chopra P (2006) Drought risk assessment using remote sensing and GIS: a case study of Gujarat, p 67
Cong RG, Brady M (2012) The interdependence between rainfall and temperature: copula analyses. Sci World J 3:405675
Eklundh L, Jönsson P (2011) TIMESAT 3.1 Software Manual. Earth:1–79
Ernest R (1995) The relation between temperature and friction. Frict Wear Mater:101–103
Gábor G (2017) On what factors the wheat production and price depends, pp 78–97
Gitu KW (2006) “Agricultural development and food security in sub-Saharan Africa (SSA) building a case for more support the case of Kenya prepared for the” Policy Assist. Unit FAO Subregional Off. East South. Africa, no. 03
Gupta U (2011) “Cereal Crops”, What’s new about crop plants. CRC Press, Boca Raton, p 33
Hargreaves GH, Allen RG (2003) History and evaluation of Hargreaves evapotranspiration equation. J Irrig Drain Eng 129(1):53–63
Ibrahim I, Abu Samah A, Fauzi R, Noor NM (2016) The land surface temperature impact to land cover types. Int Arch Photogramm Remote Sens Spat Inf Sci ISPRS Arch 41:871–876
Ju-Ying JI, Tzanopoulos J, Xofis P, Mitchley J (2008) Factors affecting distribution of vegetation types on abandoned cropland in the hilly-gullied Loess Plateau Region of China. Pedosphere 18(1):24–33
Karuku GN (2018) Soil and water conservation measures and challenges in Kenya: a review. Curr Investig Agric Curr Res 2(5):259–279
Kenya Wheat Production Handbook (2016)
Khisro W (2013) The effect of climate change on the vegetation cover of the Mujib Nature Reserve—the Dead Sea
Kurnaz L (2014) Drought in Turkey. Istanbul Policy center, Sabancı Univ, pp 1–4
Mekonnen DF, Duan Z, Rientjes T, Disse M (2018) Analysis of combined and isolated effects of land-use and land-cover changes and climate change on the upper Blue Nile River basin’s streamflow. Hydrol Earth Syst Sci 22(12):6187–6207
Michelsen O, Syverhuset AO, Pedersen B, Holten JI (2011) The impact of climate change on recent vegetation changes on Dovrefjell, Norway. Diversity 3(1):91–111
Mofp (2006) The popular version. Vis 2030
Mukherjee A, Wang SYS, Promchote P (2019) Examination of the climate factors that reduced wheat yield in northwest India during the 2000s. Water (Switzerland) 11(2):1–13
Munane AK (2014) The influence of farming practices on wheat production in Moiben District Uasin Gishu County, Kenya
Muthee M, Waswa F, Obando J (2015) Emerging land use changes-climatic variability nexus in Meru, County, Kenya. J Environ Earth Sci 5(20)
NAAIAP (2014) Soil suitability evaluation for maize production in Kenya: a report by National Accelerated Agricultural Inputs Access Programme (NAAIAP) in collaboration with Kenya Agricultural Research Institute (KARI) Department of Kenya Soil Survey, February 2014, pp 150–215
Nelson GC et al (2009) Climate change: impact on agriculture and costs of adaptation
Njeru LK (2018) Land use changes, causes and effects in Imenti forest Meru County, Kenya
Noah E, Waithaka M (2005) Grain production in Kenya. Current, pp 1–16
Of AWS (2015) Spearman’ s correlation, pp 1–36
Pardey PG (2011) A strategic look at global wheat production, productivity and R&D developments. Czech J Genet Plant Breed 47(1):9–19
Pingali PL (1999) Global wheat research in a changing world: challenges changing world: challenges
Potopová V, Boroneanţ C, Boincean B, Soukup J (2016) Impact of agricultural drought on main crop yields in the Republic of Moldova. Int J Climatol 36(4):2063–2082
Rahman H (2014) Satellite-based crop monitoring and estimation system for food security application in Bangladesh. In: Srivastava MK (ed) Expert meeting on crop monitoring for improved food security, Vientiane, Lao PDR, pp 133–148
Rosegrant M, Msangi S (2009) World agriculture in a dynamically changing environment: IFPRI´s long-term outlook for food and agriculture. Look Ahead World Food Agric 2050:57–94
Simalenga TE (2013) Agricultural mechanization in Southern African countries, vol 20
Singh A (1989) Review article: digital change detection techniques using remotely-sensed data. Int J Remote Sens 10(6):989–1003
Sokoto MB, Abubakar IU, Dikko AU (2012) Correlation analysis of some growth, yield, yield components and grain quality of wheat (Triticum aestivum L.). Niger J Basic Appl Sci 20(4):349–356
Tack J, Barkley A, Nalley LL (2015) Effect of warming temperatures on US wheat yields. Proc Natl Acad Sci USA 112(22):6931–6936
Takaoka S (2019) Impact of the 1997–1998 El Niño rains on farms in the Mount Kenya region. Mt Res Dev 25(4):326–332
Trenberth KE (2011) Changes in precipitation with climate change. Clim Res 47(1–2):123–138
USAID (2018) Climate risk profile. USAID, pp 1–5
Valizadeh J, Ziaei SM, Mazloumzadeh SM (2014) Assessing climate change impacts on wheat production (a case study). J Saudi Soc Agric Sci 13(2):107–115
Wanjiku J (1991) Factors influencing the supply of wheat an analysis for Kenya 1970
Wheat growth guide (2018)
Worku M, Deribew S (2018) The cause of land-use change and effect of the change on crop yield in case of Azezo Tekle Haymanot Kebele. J Agric Sci Food Res 9(1):1–8
Yu Q et al (2014) Year patterns of climate impact on wheat yields. Int J Climatol 34(2):518–528
Yu H, Zhang Q, Sun P, Song C (2018) Impact of droughts on winter wheat yield in different growth stages during 2001–2016 in Eastern China. Int J Disaster Risk Sci 9(3):376–391
Acknowledgements
I acknowledge United States Geological Survey (USGS) Earth Explorer, Climate Research Unit (CRU), CHIRPS (Climate Hazards Group InfraRed Precipitation) and Ministry of Agriculture Kenya for providing the datasets used in this research. I must also acknowledge the authors whose publications are of use in this research.
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Mwobobia, E.G., Sichangi, A.W. & Thiong’o, K.B. Characterization of wheat production using earth-based observations: a case study of Meru County, Kenya. Model. Earth Syst. Environ. 6, 13–25 (2020). https://doi.org/10.1007/s40808-019-00699-4
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DOI: https://doi.org/10.1007/s40808-019-00699-4