Author(s)

Anwar Mohamedelhassan¹, Bo Zhang^1*, Abdelrahim E. Jahelnabi², Eman M. Elhassan³

¹Faculty of Geography and Environmental Sciences, Northwest Normal University, Lanzhou, China.
²Faculty of Agriculture, University of Khartoum, Khartoum, Sudan.
³Faculty of Agriculture, Omdurman Islamic University, Omdurman, Sudan.

Plants play an essential role in matter and energy transformations and are key messengers in the carbon and energy cycle. Net primary productivity (NPP) reflects the capability of plants to transform solar energy into photosynthesis. It is very sensible for factors affecting on vegetation variability such as climate, soils, plant characteristics and human activities. So, it can be used as an indicator of actual and potential trend of vegetation. In this study we used the actual NPP which was derived from MODIS to assess the response of NPP to climate variables in Gadarif State, from 2000 to 2010. The correlations between NPP and climate variables (temperature and precipitation) are calculated using Pearson’s Correlation Coefficient and ordinary least squares regression. The main results show the following 1) the correlation Coefficient between NPP and mean annual temperature is Somewhat negative for Feshaga, Rahd, Gadarif and Galabat areas and weakly negative in Faw area; 2) the correlation Coefficient between NPP and annual total precipitation is weakly negative in Faw, Rahd and Galabat areas and somewhat negative in Galabat and Rahd areas. This study demonstrated that the correlation analysis between NPP and climate variables (precipitation and temperature) gives reliably result of NPP responses to climate variables that is clearly in a very large scale of study area.

Climate Variables, MODIS, NPP, Climate Change, Correlation Coefficient, Gadarif State, Remote Sensing, GIS Applications

Mohamedelhassan, A. , Zhang, B. , Jahelnabi, A. and Elhassan, E. (2024) Responses of Annual Variability of Vegetation NPP to Climate Variables Using Satellite Techniques in Gadarif State, Sudan. Journal of Geographic Information System, 16, 136-147. doi: 10.4236/jgis.2024.162009.