Abstract
Extreme drought events from climate disturbances are weakening livelihood and limiting agriculture and livestock production in the Sahel region. The lack of relevant information to anticipate coping measures has exacerbated impacts leading to climate adaptation failure in most parts. In this regard, the current research paper has collected important datasets with an objective to assess the impact of extreme drought events on household’s livelihoods for better understanding impacts, local people’s perception, and the changes on vegetation cover in order to support a robust adaptation strategy to drought. The study conducted a household survey and collected satellite data for comparative analysis. The first survey was conducted in 2013 to collect data from 465 household heads through a structured questionnaire. Supplementary focus group discussions (FGDs) were also conducted in 2018 to collect qualitative information from targeted respondents such as village leaders and members of other key groups including women and youth. Descriptive statistics and correlation coefficient matrix were used to characterize the impact on households’ main livelihoods and logistic regression to predict people’s perception on pasture depletion over the last 20 years. Satellite data were used to derive spectral vegetation of land covers and unsupervised classification indexes. Both individual survey and focus group discussions identified drought as the main climate constraint which reduced crop production, water and pastures. The logistic analysis revealed that if the respondent’s major occupation is livestock, the probability to perceive a depletion of pasture will increase by 28%. Concurrently, the satellite image observation in perfect agreement with the field survey showed 6.78% and 6.01% losses of water surface and vegetation cover respectively between 1986 and 2016 in the study area. These findings showed that logistic regression coupled with satellite information can inform on past and future impacts which are extremely crucial for sound adaptation planning in the Sahel region.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Abdullahi YS, Bayode EN (2012) Simulating the movement of desertification in Sokoto and its environs, Nigeria using 1 Km Spot-Ndvi Data. Environ Res J 6(3):175–181
Abuzar MK, Shafiq M, Mahmood SA, Irfan M, Khalil T, Khubaib N, Hamid A, Shaista S (2019) Drought risk assessment in the Khushab region of Pakistan using satellite remote sensing and geospatial methods. Int J Econ Environ Geol 10(1):48–56
Aditto S, Gan C, Nartea GV (2012) Sources of risk and risk management strategies : the case of smallholder farmers in a developing economy. Risk Manag Curr Issues Challenges 10(50392):449–474. https://doi.org/10.5772/50392
African Technology Policy Studies Network (2010) Impacts of climate change on water ressources in africa: the role of adaptation Retrieved April 9, 2016, from http://www.ourplanet.com/climate-adaptation/
Agnew C, Chappell A (1999) Drought in the Sahel. GeoJournal 48(4):299–311
Agricultural Statistics Department of Ministry of Agriculture and Hydraulic Planning (2016) Final Report: Agricultural Production, Food and Nutrition Situation 2015/2016
Albert JRG, Elloso LV, Ramos AP (2008) Toward measuring household vulnerability to income poverty in the Philippines. Philipp J Dev 35(1):23
Apata T (2011) Factors influencing the perception and choice of adaptation measures to climate change among farmers in Nigeria. Environ Econ 2(4):74–83
Archer KJ, Lemeshow S, Hosmer DW (2007) Goodness-of-fit tests for logistic regression models when data are collected using a complex sampling design. Comput Stat Data Anal 51(9):4450–4464
Bayramov E, Schlager P, Kada M, Buchroithner M, Bayramov R (2019) Quantitative assessment of climate change impacts onto predicted erosion risks and their spatial distribution within the landcover classes of the southern Caucasus using Gis and remote sensing. Model Earth Syst Environ 5(2):659–667
Belay A, Recha JW, Woldeamanuel T, Morton JF (2017) Smallholder farmers’ adaptation to climate change and determinants of their adaptation decisions in the central rift valley of Ethiopia. Agric Food Secur 6(1):24
Bryan E, Ringler C, Okoba B, Roncoli C, Silvestri S, Herrero M (2013) Adapting agriculture to climate change in Kenya: household strategies and determinants. J Environ Manag 114:26–35
Chandio AA, Magsi H, Ozturk I (2019) Examining the effects of climate change on rice production: case study of Pakistan. Environ Sci Pollut Res 27(2020):7812–7822. https://doi.org/10.1007/s11356-019-07486-9
Chandio AA, Jiang Y, Rehman A, Rauf A (2020) Short and long-run impacts of climate change on agriculture: an empirical evidence from China. Int J Clim Chang Strateg Manag 12(2):201–221. https://doi.org/10.1108/IJCCSM-05-2019-0026
Food and Agriculture Organization of the United Nations (FAO) / CLIMWAT 2.0 for CROPWAT Software (2016) A climatic database: monthly average rainfall of burkina faso over the last 20 years
Frank E, Eakin H, López-Carr D (2011) Social identity, perception and motivation in adaptation to climate risk in the coffee sector of Chiapas, Mexico. Glob Environ Chang 21(1):66–76
Growing Africa’s Agriculture (2013) Retrieved February 25, 2018, from http://archive.agra.org/where-we-work/burkina-faso/
Guntukula R (2019) Assessing the impact of climate change on Indian agriculture: evidence from major crop yields. J Public Aff e204:1–7. https://doi.org/10.1002/pa.2040
Hashim BM, Sultan MA, Attyia MN, Al Maliki AA, Al-Ansari N (2019) Change detection and impact of climate changes to Iraqi southern marshes using Landsat 2 Mss, Landsat 8 Oli and sentinel 2 Msi data and Gis applications. Appl Sci 9(10):1–14. https://doi.org/10.3390/app9102016
Huang W, Huang J, Wang X, Wang F, Shi J (2013) Comparability of red/near-infrared reflectance and Ndvi based on the spectral response function between Modis and 30 other satellite sensors using rice canopy spectra. Sensors 13(12):16023–16050
Iglesias A, Quiroga S, Moneo M, Garrote L (2012) From climate change impacts to the development of adaptation strategies: challenges for agriculture in Europe. Clim Chang 112(1):143–168
International Institute for Geo-Information Science and Earth Observation (2004) Principles of remote sensing. Retrieved October 27th, 2017, from faridesm.ir/znu/rs90–91-2/ITC%20PoRS_Hyperlinked_3e_2004.pdf
Lyons NA, Kerrisk KL, Dhand N, Scott V, Garcia S (2014) Animal behavior and pasture depletion in a pasture-based automatic milking system. Animal 8(9):1506–1515
Megersa Bati B (2014) Climate change, cattle herd vulnerability and food insecurity: adaptation through livestock diversification in the Borana pastoral system of Ethiopia
Nathaniel BE (2014) Climate change analysis and adaptation: the role of remote sensing (Rs) and geographical information system (Gis). Int J Comput Eng Res 4(1):41–51
Nega W, Hailu BT, Fetene A (2019) An assessment of the vegetation cover change impact on rainfall and land surface temperature using remote sensing in a subtropical climate, Ethiopia. Remote Sens Appl Soc Environ 16(100266):1–11
Nhemachena C, Hassan R, Chakwizira J (2014) Analysis of determinants of farm-level adaptation measures to climate change in southern Africa. J Dev Agric Econ 6(5):232–241
Omuto C (2011) A new approach for using time-series remote-sensing images to detect changes in vegetation cover and composition in Drylands: a case study of eastern Kenya. Int J Remote Sens 32(21):6025–6045
Permanent Inter-State Committee for Drought Control in the Sahel (CILSS) (2013) Aperçu Des Principales Réalisations Du Cilss De 1973 À 2013 (Overvew of Cilss' Main Achievments between 1973 and 2013). Retrieved October 15th, 2017, from http://www.cilss.int/wp-content/uploads/2016/09/realisationsCILSS.pdf
Piya L, Maharjan KL, Joshi NP (2012) Vulnerability of rural households to climate change and extremes: analysis of Chepang households in the mid-hills of Nepal. Paper read at selected paper prepared for presentation at the International Association of Agricultural Economics (IAAE) Triennial Conference, Foz do Iguacu, Brazil
Rehman A, Ozturk I, Zhang D (2019) The causal connection between CO2 emissions and agricultural productivity in Pakistan: empirical evidence from an autoregressive distributed lag bounds testing approach. Appl Sci 9(8):1692. https://doi.org/10.3390/app9081692
Sarker MAR, Alam K, Gow J (2012) Exploring the relationship between climate change and rice yield in Bangladesh: an analysis of time series data. Agric Syst 112:11–16
Stalled RRH (2012) A climate trend analysis of Burkina Faso. Sci Chang World:2012–3084
Traore S, Owiyo T (2013) Dirty droughts causing loss and damage in northern Burkina Faso. Int J Glob Warm 5(4):498–513
Ziervogel G, Cartwright A, Tas A, Adejuwon J, Zermoglio F, Shale M, Smith B (2008) Climate change and adaptation in African agriculture. Stockholm Environment Institute
Acknowledgments
The authors thank the Ministry of Agriculture of Burkina Faso for facilitating the study. We also thank Community Building Group Ltd. for providing the households’ survey data.
Author information
Authors and Affiliations
Corresponding authors
Additional information
Responsible editor: Philippe Garrigues
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Traore, O., Chang, W., Rehman, A. et al. Climate disturbance impact assessment in West Africa: evidence from field survey and satellite imagery analysis. Environ Sci Pollut Res 27, 26315–26331 (2020). https://doi.org/10.1007/s11356-020-08757-6
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11356-020-08757-6