Author/Authors :
awosusi, bm forestry research institute of nigeria - environmental modeling and biometrics department, Ibadan, Nigeria , adamu, is forestry research institute of nigeria - environmental modeling and biometrics department, Ibadan, Nigeria , orunkoyi, ar forestry research institute of nigeria - environmental modeling and biometrics department, Ibadan, Nigeria , atiba, do forestry research institute of nigeria - environmental modeling and biometrics department, Ibadan, Nigeria , obe, aa forestry research institute of nigeria - environmental modeling and biometrics department, Nigeria, Ibadan , amori, md forestry research institute of nigeria - environmental modeling and biometrics department, Ibadan, Nigeria , adedoyin, ed forestry research institute of nigeria - environmental modeling and biometrics department, Ibadan, Nigeria
Abstract :
This study was carried out to assess the concentration levels of CO_2 and temperature and also to correlate their values among selected locations in Oyo State, Nigeria. CO_2 and temperature readings were taken using a portable CO_2 meter, and a GPS was use to capture co-ordinates of sample points, this was done twice a day. Data were collected from 7am to 11am for morning session while afternoon session data were collected between 1pm and 5pm making a total of 8 hours monitoring. There were negative correlation between CO_2 and temperature in all the forests while we have positive correlation between CO_2 and temperature in non-forested domains, this, by implication, means that presence of trees in the forest reserve help to reduce Carbon dioxide during the day since trees manufacture their food using CO_2 in the presence of sunlight. Also, the positive correlation between CO_2 and temperature in the towns is due to high rate of human anthropogenic activities during the day. The values of CO_2 obtained in this study were higher when compared with IPCC limit of 435 ppm (parts per million) of CO_2 emission. Routine monitoring of carbon dioxide and public education is recommended.
Keywords :
Carbon dioxide , Temperature , Forest , Non , Forest , Forest Reserve
