Assessing Long-Term Trends In Vegetation Productivity Change Over the Bani River Basin in Mali (West Africa)

Traore, S S and Landmann, T and Forkuo, E K and Traore, P C S (2014) Assessing Long-Term Trends In Vegetation Productivity Change Over the Bani River Basin in Mali (West Africa). Journal of Geography and Earth Sciences, 2 (2). ISSN 2334-2455

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Abstract

Using time series of Normalized Difference Vegetation Index (NDVI) and rainfall data, we investigated historical vegetation productivity trends from 1982 to 2011 over the Bani River Basin in Mali. Statistical agreements between long-term trends in vegetation productivty, corresponding rainfall and rate of land cover change from Landsat time-series imagery was used to discern climate versus human-induced vegetation cover change. Spearman correlation was used to investigate the relationship between metrics of vegetation, rainfall trends and land cover change categories. The results show there is a positive correlation between increases in rainfall and some land cover classes, while some classes such as settlements were negatively correlated with vegetation productivity trends. Croplands and Natural Vegetation were positively correlated (r=0.89) with rainfall while settlements have a negative correlation with NDVI time series trend (r=-057). Despite the fact that rainfall is the major determinant of vegetation cover dynamics in the study area, it appears that other human-induced factors such as urbanization have negatively influenced the change in vegetation cover in the study area. The results show that a combined analysis of NDVI, rainfall and spatially explicit land cover change provides a comprehensive insight into the drivers of vegetation cover change in semi-arid Africa.

Item Type:	Article
Divisions:	UNSPECIFIED
CRP:	UNSPECIFIED
Uncontrolled Keywords:	NDVI trends, Global change, Land cover change, Mali
Subjects:	Others > Agriculture-Farming, Production, Technology, Economics
Depositing User:	Mr B K Murthy
Date Deposited:	26 Feb 2015 05:45
Last Modified:	26 Feb 2016 05:44
URI:	http://oar.icrisat.org/id/eprint/8571
Official URL:	http://dx.doi.org/10.15640/jges.v2n2a2
Projects:	UNSPECIFIED
Funders:	German Ministry of Science and Education (BMBF)
Acknowledgement:	The authors are grateful to German Ministry of Science and Education (BMBF) through WASCAL for fully funding this research.
Links:	Google Scholar Organisation

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