z-logo
open-access-imgOpen Access
Assessing Long-Term Trends In Vegetation Productivity Change Over the Bani River Basin in Mali (West Africa)
Author(s) -
S. Traoré,
Tobias Landmann,
Eric Kwabena Forkuo,
Pierre Traoré
Publication year - 2014
Publication title -
journal of geography and earth sciences
Language(s) - English
Resource type - Journals
eISSN - 2334-2455
pISSN - 2334-2447
DOI - 10.15640/jges.v2n2a2
Subject(s) - normalized difference vegetation index , vegetation (pathology) , arid , physical geography , productivity , land cover , human settlement , geography , enhanced vegetation index , urbanization , climate change , environmental science , vegetation cover , land use , ecology , vegetation index , medicine , pathology , economics , macroeconomics , archaeology , biology
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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom