In most of sub-Saharan-Africa (SSA), agriculture supports the livelihood of the majority of people. Land use for agricultural activity is highly dependent upon weather and climate and is thus vulnerable to climate change. This article examines land-use management and its relationship to climate change and the adaptive processes utilized by the farmers in rural Nigeria. In this study, multistage sampling was used for data collection from 880 farmers. Data were analyzed for environmental attributes, farmers' perceptions of climate change, and adaptation methods using the trans-logarithmic-model (TLM) and Short-Run Sustainability Index (SRSIx). The TLM model results reveal government land-policy intervention variables and land-use quality variables as dominance variables. The SRSIx results are 0.413, suggesting that 41 percent of the farmers made unsustainable use of agricultural land. This points to poor use of agricultural land resources, which leads to poor agricultural outputs. The estimated correlation coefficients of various adaptation options are significant for 10 out of 19 combinations, suggesting a strong relationship between quality of land use and adaptive processes. This article proposes an innovative method in climate change mitigation by considering the status of sustainable agricultural land-use index and farmers' interactions with meteorological and locale-specific climate change data for adaptive processes.
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References
1.
AbrarS., MarcJ., ThomasF., AriellaH., ChaseS., et al. (2016). Emerging meta-organizations and adaptation to global climate change: Evidence from implementing adaptation in Nepal, Pakistan and Ghana. Global Environmental Change, 38, 1-40.
2.
AignerD. J., LevellC. A., & SchmidtP. (1977). Formulation and estimation of stochastic frontier production function model. Journal of Econometrics, 6, 21-37.
3.
AkhterA., & OlafE. (2017). Assessing farmer use of climate change adaptation practices and impacts on food security and poverty in Pakistan. Climate Risk Management, 16:183–194.
AnastasiaW. T., AuroraM. V., ThomasE. L., & BruceA. M. (2020). Disconnect within agriculture and ecosystem climate effects, adaptations and policy. Climate 2020, 8(63), 1-6. doi:10.3390/cli8050063
6.
ApataT. G. (2011). Effects of global climate change on Nigerian agriculture: An empirical analysis, Central Bank of Nigeria (CBN). Journal of Applied Statistics, 2(1) 31-50.
7.
ApataT. G., N'GuessanY. G., AyantoyeK., AgboolaT. O., and BusariA. O. (2019). Doggedness of small farms and productivity among smallholder farmers in Nigeria: Empirical linkage and policy implications for poverty reduction. Business Strategy and Development, 3(1), 1-15.
8.
ApataT., OgunleyeK., AgboolaO., & OjoT. (2021). Heterogeneity of agricultural land use systems and poverty in sub-Saharan Africa: Relationship and evidence from rural Nigeria. AGRIS online papers in economics and informatics, 13(2), 3-22. DOI 10.7160/aol.2021.130201
9.
Asare-KyeiD., RenaudF. G., Kloos. J., WalzY., & RhynerJ. (2017). Development and validation of risk profile of West African rural communities facing multiple natural hazards. PLoS One, 12, e0171921.
10.
AuduE., AuduH., BinbolN., & GanaJ. (2013). Climate change and its implication on agriculture in Nigeria. Abuja Journal of Geography and Development, 3(2), 24-36.
11.
AungT., Van-HuylenbroeckG., & SpeelmanS. (2020). Measuring the economic impact of climate change on crop production in the dry zone of Myanmar: A Ricardian approach, Climate 2020, 8(9), 1-15. doi:10.3390/cli8010009
12.
AyindeO., MuchieM., & OlatunjiB. (2011). Effect of climate change on agricultural productivity in Nigeria: A co-integration model approach. Journal of Human Ecology, 35(3), 189-194.
13.
BahinipatiC. S. (2014). Assessment of vulnerability to cyclones and floods in Odisha. India: A district-level analyses. Current Science, 107(12), 10-18.
14.
BarbierE., & HochardJ. (2016). Does land degradation increase poverty in developing countries? PLoS ONE, 11(5), e0152973. doi: 10.1371/journal.pone.0152973
15.
BelcherB., AchdiawanR., & DewiS. (2015). Forest-based livelihood strategies conditioned by market remoteness and forest proximity in Jharkhand, India. World Development, 66, 269-279.
16.
BouzidM., Colón-GonzálezF. J., LungT., LakeI.R., & HunterP. R. (2014). Climate change and the emergence of vector-borne diseases in Europe: Case study of dengue fever. BMC Public Health, 14, 781-796.
17.
BryanE., DeressaT., GbetibouoG. A., & RinglerC. (2009). Adaptation to climate change in Ethiopia and South Africa: Options and constraints. Environmental Science and Policy, 12(4), 413–426.
18.
BryanE., RinglerC., OkobaB., RoncoliC., SilvestriS., et al. (2013). Adapting agriculture to climate change in Kenya: Household strategies and determinants. Journal of Environmental. Management, 114, 26–35.
19.
CappellariL., & JenkinsS. P. (2003). Multivariate probit regression using simulated maximum likelihood. The Stata Journal, 3(3), 278–294.
ChandioA. A., JiangY., AnhuiA. R., & RaufA. (2020). Short and long-run impacts of climate change on agriculture: An empirical evidence from China. International Journal of Climate Change Strategies and Management (IJCCSM), 12(2), 201-221.
22.
ChandraS. B., & VenkatachalamL. (2013). Determinants of farm-level adaptation practices to climate extremes: A case study from Odisha, India. Working Paper No. 219, Gujarat Institute of Development Research Gota, Ahmedabad, India.
23.
ChombaS., KariukiJ., LundJ., & SinclairF. (2016). Roots of inequality: How the implementation of REDD reinforces past injustices. Land Use Policy, 50, 202-213.
24.
CooperS. J., & WheelerT. (2017). Rural household vulnerability to climate risk in Uganda Region. Environmental. Change, 17, 649–63.
25.
DaleV. H. (1997). The relationship between land-use changes and climate change. Ecological Applications, 7(3), 753–769.
26.
DaltonP. S., GhosalS., & ManiA. (2015). Poverty and aspirations failure. The Economic Journal, 128, 165–188.
27.
DeressaT. T., HassanR. M., & RinglerC. (2011). Perception of and adaptation to climate change by farmers in the Nile basin of Ethiopia. Journal of Agricultural Science, 149(1), 23–31.
28.
DiFalcoS., & VeronesiM. (2013). How can African agriculture adapt to climate change? A counterfactual analysis from Ethiopia. Land Economics. Quarterly, 89(4), 743–766.
29.
Food and Agriculture Organization of the United Nations. (2017). The future of food and agriculture: Trends and challenges. Food and Agriculture Organization of the United Nations, Rome.
30.
GerberN., NkonyaE., & von BraunJ. (2014). Land degradation, poverty, and marginality. In J. von Braun & F. W. Gatzweiler (Eds.), Marginality: Addressing the nexus of poverty, exclusion and ecology (pp. 181–202). Springer.
31.
GiulioF., MelgiovanniM., PorriniD., & RicciardoT. M. (2020). How to improve the diffusion of climate-smart agriculture: What the literature tells us. Sustainability, 12(5168), 1-16. doi:10.3390/su12125168
HasanM. Z., KamilA. A., MustafaA., & BatenM. A. (2012). A Cobb Douglas stochastic frontier model on measuring domestic bank efficiency in Malaysia. PLoS ONE, 7(8), e42215. https://doi.org/10.1371/journal.pone.0042215
34.
Intergovernmental Panel on Climate Change. (2014). Summary for policymakers. In C. B. Field, V. R. Barros, M. D. Mastrandrea, K. J. Mach, M. K. Abdrabo, et al., Climate change 2014: Impacts, adaptation, and vulnerability. Part A: Global and sectoral aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, (pp. 1-32). Cambridge University Press.
35.
JainM., NaeemS., OrloveB., ModiV., & DeFriesR. S. (2015). Understanding the causes and consequences of differential decision making in adaptation research: Adapting to a delayed monsoon on set in Gujarat, India. Global Environmental Change, 31, 98–109.
36.
JodhaN. S. (1991). Drought management: Farmers' strategies and their policy implications. Economic and Political Weekly; 26(39), A98–A104.
37.
KelvinM., ShikukuA., LeighW., JenniferT., AntonE., et al. (2017). Smallholder farmers' attitudes and determinants of adaptation to climate risks in East Africa. Climate Risk Management, 16, 234–245.
38.
KennedyW., MutheeC., MbowG., MugoM., & WalterL. (2018). Ecosystem services in adaptation projects in West Africa. International Journal of Climate Change Strategies and Management, 10(4), 533-550. https://doi.org/10.1108/IJCCSM-06-2017-0140
39.
KurukulasuriyaP., & MendelsohnR. (2007) Crop selection: Adapting to climate change in Africa. World Bank Policy Research Working Paper 4307. World Bank.
40.
LiuY. (2006, July 23-26). Model selection in stochastic frontier analysis: Maize production in Kenya. [Paper presentation]. Annual meeting of the American Agricultural Economics Association, Long Beach, CA.
41.
LomborgB. (2016). Impact of current climate proposals. Global Policy, 7(1), 109-118.
42.
MaddisonD. (2007). The perception of and adaptation to climate change in Africa. World Bank Policy Research Working Paper 4308. World Bank.
43.
MaheshH., & MeenakshiR. (2006). Liberalization and productive efficiency of Indian commercial banks: A stochastic frontier analysis. Manik Personal RePEc Online Archive. http://mpra.ub.uni-uenchen.de/827/MPRA Paper No. 827
44.
McDowellG., FordJ., & JonesJ. (2016). Community-level climate change vulnerability research: Trends, progress, and future directions. Environmental Research Letters, 11, 33-51.
45.
MendelsohnR., & DinarA. (2009, September). Land use and climate change interactions. Annual Review of Economics, Annual Reviews, 1(1), 309-332.
46.
MiddendorfB. J., Vara PrasadP. V., & PierzynskiG. M. (2020). Setting research priorities for tackling climate change. Journal of Experimental Botany, 71(2), 480–489. doi:10.1093/jxb/erz360
47.
MohmmedA., LiJ., ElaruJ., ElbashierM., KeesstraS., et al. (2018). Assessing drought vulnerability and adaptation among farmers in Gadaref region, Eastern Sudan. Land Use Policy 70, 402–413.
48.
MuchuruS., & NhamoG. (2017). Climate change and the African livestock sector: Emerging adaptation measures from UNFCCC national communications. International Journal of Climate Change Strategies and Management, 9(2), 241-260.
49.
MutheeK., MbowC., MachariaG., & Leal FilhoW. (2017). Ecosystem-based adaptation (EbA): Asian adaptation strategy in Burkina Faso and Mali. In W. Leal Filho, B. Simane, S. Kalangu, W. Menas, P. Munishi, et al. (Eds.), Climate Change Management (pp. 205-215). Springer.
50.
National Bureau of Statistics (NBS) (2021), Nigeria strengthens capacity to address impact of climate change on health. CPI and Inflation Report January 2021.
51.
NhemachenaC., & HassanR. (2007). Micro-level analysis of farmers' adaptation to climate change in Southern Africa. IFPRI Discussion Paper 00714. International Food Policy Research Institute, Washington, DC.
52.
NyamwanzaA. M, NewG., FujisawaM., JohnstonP. & HajatA. (2017). Contributions of decadal climate information in agriculture and food systems in east and southern Africa. Climate Change, 143, 115–28.
53.
OdafivwotuO. (2015). Public perception of climate change in Yenagoa, Bayelsa State, Nigeria. Geography Journal, 20, 1-11.
54.
OkparaU., StringerL., & DougillA. (2017). Using a novel climate–water conflict vulnerability index to capture double exposures in Lake Chad Region. Environmental Change, 17, 351–66.
55.
OliverT. H., & MorecroftM. D. (2014). Interactions between climate change and land use change on biodiversity: Attribution problems, risks, and opportunities. WIREs Climate Change, 5, 317–335. doi: 10.1002/wcc.271
56.
PattA., SuarezP., & GwataC. (2005). Effects of seasonal climate forecasts and participatory workshops among subsistence farmers in Zimbabwe. Proceedings of National Academy of Science, 102(35), 12623-12628.
57.
PiyaL., MaharjanK. L., & JoshiP. (2013). Determinants of adaptation practices to climate change by Chepang households in the rural Mid-Hills of Nepal. Regional Environmental Change, 13, 437–447.
58.
SalamiT. (2017). Climate change mitigation and adaptation options—The Nigerian experience. [Paper presentation]. Workshop on Application and Environmental Laboratory (SPAEL), Climate Change Unit, Mitigation and Environmental processes]. Obafemi Awolowo University, Ile-Ife, Nigeria.
59.
SinghC., DorwardP., & OsbahrH. (2016). Developing a holistic approach to the analysis of farmer decision making: Implications for adaptation policy and practice in developing countries. Land Use Policy, 59, 329-343.
WintersM. (2009). Agricultural land use in the era of climate change: The challenge of finding ‘fit for purpose’ data. Land Use Policy, 26, S217–S221.
62.
WoodS. A., JinaA. S., JainM., KristjansonP., & DeFriesR. S. (2014). Smallholder farmer cropping decision related to climate variability across multiple regions. Global Environmental Change, 25, 163-172. http://dx.doi.org/10.1016/j.gloenvcha.2013.12.011
XiaoxuW., YongmeiL., SenZ., LifanC., & XuXiaoxuW. (2016). Impact of climate change on human infectious diseases: Empirical evidence and human adaptation. Environment International, 86, 14–23.
66.
ZahidK., AliG., SabirS., & FayazM. (2019). Relationship between climate and year to year variability in crop yield: Selected districts of Pakistan. Sarhad Journal of Agriculture, 35(1), 1-36.
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