Climate change and variability have significant impacts on communities living in
third-world countries. The impacts caused by climate change and variability have
been more severe on poor people, especially those in agriculture and livestock
farming. The assessment of climate trends and their impacts at local scales is not
well covered. This study assessed long-term trends in key climatic variables
(rainfall, temperature, and relative humidity). A cross-sectional design combined
climate data from the Tanzania Meteorological Authority (TMA) with data gathered
through household questionnaires, key informant interviews, focus group
discussions, and field observations. The study used Microsoft Excel 2021 and SPSS
version 26 for data analysis to obtain the descriptive statistics and linear regression
methods to model climate trends. The results show increasing trends for rainfall
(p=0.92e-55), minimum temperature (p=2.24e-26), maximum temperature (p=4.82e-17)
and relative humidity (p=1.55e-35). There was a significant positive relationship
between climate variables. The climate variables have a unimodal characteristic.
Rainfall starts in November and ends in May, while dry periods start from May and
end in October. The households experienced increased temperature, unreliable
seasonal rainfall, extreme rainfall, increased dry spells and increased frequency of
thunderstorms. The community perceive that climate extremes have affected crop
production and livestock farming due to reduced soil quality, scarcity of water and
increased pests and diseases.
Keywords: Climate change impacts, rainfall trends, temperature trends, humidity
Trends