Abstract
This study examined the spatial temporal impacts of climate variability on maize yield in Kenya. The maize yield data were obtained from the Kenya Maize Yield Database while climatic variable data were obtained from the Climatic Research Unit gridded Time Series (CRU TS) with a spatial resolution of 0.5° × 0.5°. The non-parametric Mann–Kendall and Sen’s slope tests showed no trend in the data for maximum temperature, minimum temperature and precipitation. The spatial maps patterns highlight the rampancy of wetter areas in the Lake Victoria basin and Highlands East of Rift Valley compared to other regions. Additionally, there is a decreasing trend in the spatial distribution of precipitation in wetter areas and an increasing trend in maximum temperature in dry areas, albeit not statistically significant. Spearman’s rank correlation test showed a strong positive correlation between maize yield and the climatic parameters for the Lake Victoria basin, Highlands East of Rift Valley, Coastal Strip and North Western Regions. The findings suggest that climate variability has a significant impact on maize yield for four out of six climatological zones. We recommend adoption of policies and frameworks that will augment adaptive capacity and build resilience to climatic changes.
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Claims 7
Claim · model-written summary
Maximum temperature, minimum temperature and precipitation showed no trend in the overall data.
Not reportedTaxon
Verbatim
e0“no trend in the data for maximum temperature, minimum temperature and precipitation”
Claim · model-written summary
Wetter areas were more prevalent in the Lake Victoria basin and Highlands East of Rift Valley than other regions.
- Outcome
- wetter arease0
- Direction
- rampancye0
- Comparator
- other regionse0
- Setting
- Lake Victoria basin and Highlands East of Rift Valleye0
Not reportedTaxon
Verbatim
e0“rampancy of wetter areas in the Lake Victoria basin and Highlands East of Rift Valley compared to other regions”
Claim · model-written summary
Precipitation declined spatially in wetter areas without statistical significance.
Not reportedTaxon
Verbatim
e0“decreasing trend in the spatial distribution of precipitation in wetter areas and an increasing trend in maximum temperature in dry areas, albeit not statistically significant”
Claim · model-written summary
Maximum temperature increased spatially in dry areas without statistical significance.
Not reportedTaxon
Verbatim
e0“increasing trend in maximum temperature in dry areas, albeit not statistically significant”
Claim · model-written summary
Maize yield was strongly positively correlated with climatic parameters in Lake Victoria basin, Highlands East of Rift Valley, Coastal Strip and North Western Regions.
- Outcome
- maize yielde0
- Direction
- positivee0
- Qualifier
- climatic parameterse0
- Setting
- Lake Victoria basin, Highlands East of Rift Valley, Coastal Strip and North Western Regionse0
Zea maysOrganisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“strong positive correlation between maize yield and the climatic parameters for the Lake Victoria basin, Highlands East of Rift Valley, Coastal Strip and North Western Regions”
Claim · model-written summary
Climate variability had a significant impact on maize yield in four of six climatological zones.
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“climate variability has a significant impact on maize yield for four out of six climatological zones”
Claim · model-written summary
The authors recommend policies and frameworks to build adaptive capacity and resilience to climate change.
- Outcome
- adoption of policies and frameworks that will augment adaptive capacity and build resilience to climatic changese0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“adoption of policies and frameworks that will augment adaptive capacity and build resilience to climatic changes”
t0“Maize”