The Effect of Climate Change on Food Crop Production in Lagos State

Tajudeen, Tawakalitu Titilayo; Omotayo, Ayo; Ogundele, F. O.; Rathbun, Leah C.

doi:10.3390/foods11243987

Cited by 15 publications

(7 citation statements)

References 23 publications

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“…The normalized difference water index (NDWI) and its intensity indicate vegetation responses to water availability in the ecosystem (soil and air) Water was more available during the year 2017 compared to 2018 and 2019 during the rainy season. Adebayo, [37] and Tajudeen [38] reported the importance of rainfall to crop productivity. Mosunmola et al, [39] and Farmsquare [40] reported the effects of rainfall variables such as onset, cessation and length of growing season on agricultural productivity.…”

Section: Effect Of Land Use and Season On Vegetation Indicesmentioning

confidence: 99%

GIS-based Characterization of Land Use, Land Cover Patterns and Microclimate of Agricultural and Agroforestry Landscapes in a Rainforest Zone of Nigeria

Abel,

Samuel

2024

IJECC

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There is increasing need for development of sustainable land use and landscape management practices to avert accelerating trends of land, water and ecosystem degradation and for climate mitigation. This study characterized land use and land cover patterns and microclimate of permanent (forest, agroforestry, fallow, cocoa, oil palm, citrus and ornamental plant field) and annual crop land use systems in a rainforest zone of Nigeria using space-based remote sensing technology. The goal is to evaluate land use and land cover patterns and microclimate along agricultural and agroforestry landscapes in a rainforest zone of Nigeria. Land use types were: permanent (forest, agroforestry, fallow, cocoa, oil palm, citrus and ornamental plant field) and annual cropland. Vegetation indices (Normalized Difference Vegetation Index: NDVI, Normalized Difference Water Index: NDWI and Soil Adjusted Vegetation Index: SAVI) were deployed for characterizing land use vegetation cover patterns in relation to vigour and health in addition to responses to weather variables (temperature and rainfall). The NDVI intensities of vegetation cover from the land use types showed differences in vigour and health of vegetation during the rainy and dry seasons of 2017 to 2019. The NDWI of vegetation cover intensity indicates differences in moisture conditions of vegetation cover, the vegetation of the land use systems had more water content (received more rainfall) in 2017 compared to 2018 and 2019 during the rainy season while during the dry season of 2019, NDWI intensity was highest compare to 2018 and 2017. NDVI and NDWI also showed that vegetation cover of permanent land uses had better vigour and health compared to annual (maize) field. SAVI was applied to correct NDVI of vegetation cover patterns of land use types with reference to canopy gaps (soil brightness within canopy especially in spots where vegetation cover is sparse). High SAVI intensities were obtained during rainy compared to the low values during dry season (sparse vegetation cover). Decreasing order of SAVI intensities were agroforestry, oil palm, ornamental plant field, citrus, cocoa, fallow land and maize crop field. Result from the correlations among vegetation indices (NDVI, NDWI and DSAVI) were strong association (R2 = 1) among the years and seasons. The strong R2 values imply that less than 10% of changes in NDWI (the explanatory variables) can be explained by changes in NDVI and SAVI (the dependent variable). Temperature and rainfall differed within months and years of study. Temperatures were highest for March, April and May while rainfall was highest for September of 2017 and 2018 and in October, 2019. Significantly lower rainfall amounts were received for January, February, November and December. The vegetation indices (NDVI, NDWI and SAVI) indicated vigour and water contents of the land use types within seasons and years as well as responses to weather variables (rainfall and temperature in particular). The biophysical findings from this study may advance capacities to cope with climate change challenges and ecosystem conservation. Information generated will find use as strategies for ecologically sound and sustainable land use systems and policy for mainstreaming climate mitigation in in the study area.

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Section: Effect Of Land Use and Season On Vegetation Indicesmentioning

confidence: 99%

GIS-based Characterization of Land Use, Land Cover Patterns and Microclimate of Agricultural and Agroforestry Landscapes in a Rainforest Zone of Nigeria

Abel,

Samuel

2024

IJECC

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“…In addition, erroneous agricultural practices degrade soil quality and reduce agricultural productivity. Idumah et al [ 24 ] and Tajudeen et al [ 25 ] emphasize that the impact of climate change on food production in Nigeria could increase in the coming years, as more than 80% of crop production depends on rainfall. The Notre Dame Global Adaptation Initiative [ 26 ] reports that Nigeria is the 53rd most vulnerable country and the 6th least prepared country in the world in terms of adapting to climate change.…”

Section: Introductionmentioning

confidence: 99%

Does Climate Change Cause an Upsurge in Food Prices?

Erdogan,

Kartal,

Pata

2024

Foods

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Climate change is the reason behind most contemporary economic problems. The rising inflationary pressures in the food sector are one of these problems, and stable food prices are a necessity for economic development and social cohesion in societies. Therefore, this study analyzes the relationship between food prices and climate change in Nigeria by using various non-linear and quantile-based methods and data from 2008m5 to 2020m12. The empirical findings indicate that (i) there is a time- and frequency-based dependence between food prices and some explanatory variables, including climate change (i.e., temperature). (ii) At higher quantiles, temperature, oil prices, food exports, monetary expansion, global food prices, agricultural prices, and fertilizer prices stimulate food prices. (iii) The increase in food prices due to the rise in temperature and the difficulties in agriculture indicate that the heatflation phenomenon is present in Nigeria. The evidence outlines that Nigerian decisionmakers should adopt a national food security policy that considers environmental, agricultural, and monetary factors to stabilize food prices.

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“…Farmers' difficulties and challenges of climate change are crucial to planning relevant policies for adaptation strategies to climate change (Ali et al, 2021). By this means, the anticipated adverse effects of climate change can be reduced through abilities to exchange information, ideas and feedback in both policy and scientific work are important for climate projections that reduces climate change effects (Tajudeen et al, 2022 andNabara et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Constraints militating against the use of adaptation strategies to climate change effects by small-scale rice farmers in Northeastern, Nigeria

K.M. Malabe,

D.H. Yakubu,

A.K. Ango

et al. 2024

JAE

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This study ascertained the constraints militating against the use of adaptation strategies to climate change effects amongst rice farmers in Northeastern Nigeria. Multi-stage sampling technique was used to select 300 rice farmers. The analytical tools used to analyze the data obtained were descriptive and inferential statistics. The result shows the used and unused adaptation strategies for drought resistant rice variety were 33.0% and 67.0%, heat resistant rice variety were 30.7% and 69.3%, short rice cycle seeds were 2.3% and 97.7%, early maturing rice variety were 32.7% and 67.3%, early planting were 32.0% and 68.0%, late planting were 33.0% and 67.0%, early harvesting were 32.7% and 67.3%, late harvesting were 31.7% and 68.3. The result on constraints militating against the use of adaptation strategies shows that the constraints with higher loading factors were low level of income (λ=0.799), low literacy level (λ=0.727), inadequate knowledge on how to cope with climate change related issues (λ=0.761), poor response to climate related issues (λ=0.782), poor financial support from NGOs (0.648), inadequate agricultural loans (0.655) and high administrative charges on loan (λ=0.555). Other constraints included inadequate extension workers (λ=0.583), inadequate extension contacts (λ=0.550), long bureaucracy in getting formal credit (λ=0.588), lack of reliable sources of information on climate change (λ=0.708), loans not readily available during farming season (λ=0.752), and inadequate financial support from government (0.428). Based on the findings of the study, it is concluded that low users of adaptation strategies were evident in the zone. Therefore, it is recommended that the government should encourage the use of adaptation strategies in the zone.

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The Effect of Climate Change on Food Crop Production in Lagos State

Cited by 15 publications

References 23 publications

GIS-based Characterization of Land Use, Land Cover Patterns and Microclimate of Agricultural and Agroforestry Landscapes in a Rainforest Zone of Nigeria

GIS-based Characterization of Land Use, Land Cover Patterns and Microclimate of Agricultural and Agroforestry Landscapes in a Rainforest Zone of Nigeria

Does Climate Change Cause an Upsurge in Food Prices?

Constraints militating against the use of adaptation strategies to climate change effects by small-scale rice farmers in Northeastern, Nigeria

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