CLIMATE VARIABILITY AND SEASONAL ASPECTS OF PALM WINE PRODUCTION (RAPHIA SPP) IN IKOT EKPENE LOCAL GOVERNMENT AREA OF AKWA IBOM STATE, NIGERIA

The research work examined the relationship between climate variability and seasonalaspects ofpalm wine production (raphiaspp) in Ikot Ekpene Local Government Area ofAkwa Ibom State, Nigeria. The study was carried out to examined the effect of climate variables on raffia palm wine production seasonally in Ikot Ekpene. Primary source of data wasobtained through thedirect field measurement. The secondary sources of data include meteorological records obtained from Nigeria meteorological station, Uyofor 2018. The cross-sectional multiple regression was used to infer the relationship between climatic variables and seasonal aspects of palm wine production. The result revealed that about 263,000 litres of raffia palm wine was producedin 2018 from the field measurement. The impact of seasonal variation on raffia palm wine production revealed that dry season produced wine more than rainy season. The researcher concluded that the climatic variation has impactednegatively on the production of raffia palm wine in the study area leading to reduction in production of raffia palm wine.The researcher recommended that appropriate climate forecasting and early warning system should be made part and parcel of planning and development so as to increase the production of raffia palm wine in order to improve the local dry gin industry.

Влияние городских сооружений на формирование прилегающих фитоценозов

The influence of urban constructions of Orhei city on illumination level of adjacent phytocenoses was studied. It was established that increased shade of territory leads to shift of distribution maximum of concrete flora to arctic direction, distortion of seasonal aspects and changing demographic structure of dominant species populations.

How Often Does It Really Rain?

The perception about whether a place is a nice place to live often depends on how often it rains (or snows). The frequency relates to how dreary the weather appears, and it is the duration much more than the amount that clouds perceptions. Yet, information about the frequency of rainfall, or precipitation in general, is spotty at best. Here, we analyze a new near-global (60°N–60°S) dataset at hourly time scales and 0.25° resolution. The dataset, the newly calibrated Climate Prediction Center morphing technique (CMORPH), enables comparison of results with 3-hourly and daily data, which is what has previously been available, and seasonal aspects are also examined. The results are quite sensitive to both the spatial scales of the data and their temporal resolutions, and it is important to get down to hourly values to gain a proper appreciation of the true frequency. At 1° resolution, values are 35% higher than for 0.25°. At 3-hourly resolution, they are about 25% higher than hourly, and at daily resolution, they are about 150% higher than hourly on average. Overall, near-global (60°N–60°S) precipitation occurs 11.0% ± 1.1% (1 sigma) of the time or, alternatively, 89.0% of the time it is not precipitating. But outside of the intertropical and South Pacific convergence zones, where values exceed 30%, and the arid and desert regions, where values are below 4%, the rates are more like 10% or so, and over land where most people live, values are closer to about 8%.