This paper explores the role which climate plays on the severity of diseases and seasonal mortality rate of chicken in the guinea savanna ecological zone of Kwara State, Nigeria. Data on climate and mortality rate of chicken collected over a period of 23 years (1991-2013) were partitioned according to characteristics weather types. Correlation and simple regression methods were used to analyse the data. The results of the analyses showed that weather types of each season affect outbreak of various diseases and mortality rate differently. In the dry season weather types outbreak of Newcastle and Gumboro diseases prevailed mostly during harmattan when mortality rate of chicken exhibited a strong positive relationship of 0.711 with rainfall and a strong negative relationship of 0.604 with maximum temperature. The last two months of dry season (March-April) witnessed the reverse of the above but with Newcastle disease and heat stress plaguing chicken production. The most prevalent chicken disease of rainy season in the study area is Coccidiosis. During the first weather type of wet season (two months before August break) mortality rate of chicken exhibited a strong positive relationship of 0.861 and 0.845 before August break, 0.775 and 0.894 during August break with both rain fall and relative humidity. However the relationship was negative with both maximum and minimum temperatures. Suggestions are made on how to manage both major weather types and poultry operation for efficient poultry farm development in the tropics.

Nigeria obtains high rate of deforestation with a loss of about 60 percent of its primary forests between 2000 and 2005 as a result of logging, subsistence agriculture, wood exploitation, and urban expansion.This research assessed the level of deforestation and how it has affected Ilorin’s microclimate and the environments. The specific objectives of this study were assessing the relationship that occurs between deforestation and microclimate, examining deforestation and the impact it has within the study area of microclimate, and forecasting the microclimate within the study area by the year 2030. The statistical tools engaged were both descriptive (mean, frequency distribution table and, bar charts) and inferential statistics (multiple regression analysis). The research indicated that there is a significant relationship between deforestation with r2 variables of 0.888 for maximum temperature, 0.201 for minimum temperature, 0.997 for precipitation, 0.43 for solar output, -0.797  and -0.873 for evapotranspiration and relative humidity respectively and Ilorin’s microclimate. The study concludes that deforestation greatly influences the microclimate of Ilorin and occurs due to human’s anthropogenic activities. Deforestation has also led to climate change. Keywords: Deforestation; Climate; Micro-climate; Vegetation Cover Copyright (c) 2020 Geosfera Indonesia Journal and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License

This study aims to examine the variability of rainfall and temperature based on spatio-statistical analysis. Data for the study was gotten from the Nigerian Meteorological Agency and subjected to statistical analysis using mean, standard deviation, time series analysis, t-test and correlation. The results of the study revealed that the mean rainfall in the area is 108.6 mm, mean temperature is 28o C and mean sunshine is 4.7 hours. The result further revealed that mean onset date in the state is 13th march, mean cessation date is 10th October while the mean length of rainy season is 223 days. The result also showed that rainfall anomaly index in the area ranged between -2.12 and 2.28 while temperature anomaly ranged between -2.31 and 1.73.  The correlation coefficient showed that cessation (0.408) and Length of rainy season (0.406) is significantly related to rainfall, sunshine hours (0.380) and Average temperature (0.867) is significantly related to minimum temperature, sunshine hours (-0.389) and average temperature (0.749) is significantly related to maximum temperature while onset (-0.642) and cessation (0.509) is significantly related to length of rainy season. However,there is a significant difference in onset dates, cessation dates and length of rainy season in the area. The area is experiencing a significant increase in temperature, rainfall and sunshine hours and recommends that more tress should be planted in the area and Nigerian meteorological agency should also inform farmers about the onset of the rains so as to help the farmers prepare for the planting season. Keywords: Climate; Rainfall; Anomaly; Temperature; Cessation; Onset   Copyright (c) 2020 Geosfera Indonesia Journal and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License

Climate change is a global issue and its impact is felt everywhere by both human and ecosystem. Climate variability and change threaten the well being of humans. This study examines the impact of climate variability on human health with the use of regression, correlation and ANOVA. The result shows that there is a very strong positive correlation between minimum temperature and typhoid (0.844), maximum temperature and malaria (0,794), typhoid (0.793), between sunshine and typhoid (0.667), malaria (0.630). The other variables are weakly correlated with the diseases. The regression analysis reveals that 49%, 88% and 79% of the variance in asthma, typhoid and malaria can be respectively explained by the climatic parameters under study to a certain extent. This implies that there may be some other factors that are responsible for the selected diseases in the area. Such factors may include biological (genotype, micro-organisms, and allergies), unhygienic environment and economic (poor living conditions). Recommendations made include weather report should be broadcasted to people through the media in order for them to understand variation in the climate and how to adapt and mitigate the effect of the changes. Furthermore, people should be enlightened on the effects of anthropogenic activities in the atmosphere and how to reduce these effects for sustainable development.

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