<mets:mets OBJID="eprint_9316" LABEL="Eprints Item" xsi:schemaLocation="http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-3.xsd" xmlns:mets="http://www.loc.gov/METS/" xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><mets:metsHdr CREATEDATE="2023-07-04T23:03:41Z"><mets:agent ROLE="CUSTODIAN" TYPE="ORGANIZATION"><mets:name>OAR@ICRISAT</mets:name></mets:agent></mets:metsHdr><mets:dmdSec ID="DMD_eprint_9316_mods"><mets:mdWrap MDTYPE="MODS"><mets:xmlData><mods:titleInfo><mods:title>Assessing the inter-relationship between vegetation productivity, rainfall, population and land cover over the Bani River Basin in Mali (West Africa)</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">S S</mods:namePart><mods:namePart type="family">Traore</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">E K</mods:namePart><mods:namePart type="family">Forkue</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">P C S</mods:namePart><mods:namePart type="family">Traore</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">T</mods:namePart><mods:namePart type="family">Landmann</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:abstract>This research investigated the inter-relationship between vegetation productivity, measured using&#13;
the Normalized Difference Vegetation Index (NDVI), change in rainfall and population density in the context of&#13;
perceived greening and degradation trends over the Bani River Basin (BRB). A 30-year (1982-2011), 8-km&#13;
gridded rainfall data sets was produced by inverse distance weighted (IDW) interpolation of monthly data from&#13;
40 meteorological stations contained within the basin. Population data were retrieved from the National&#13;
Population Statistic data base for 1987, 1997, and 2009. Rainfall and NDVI time-series trends were computed&#13;
for the 30-year period and analysed. The relationship between rainfall and NDVI at pixel level, and NDVI and&#13;
population densities was analysed using a Pearson correlation. Land Use and Land Cover (LULC) conversion&#13;
rates were computed for the same period using multi-temporal 30-meter Landsat imagery; ground surveys for&#13;
selected areas within the basin were used for further cross-verification. The computed NDVI trends revealed&#13;
that, vegetation 'greening' trends are mostly associated with areas where natural vegetation is still well&#13;
represented. Concurrent with increases in rainfall over the period analysed, this finding supports the hypothesis&#13;
that re-greening observed in that area is the result of multi-decadal fluctuations in climate, rather than improved&#13;
land management.</mods:abstract><mods:classification authority="lcc">Agriculture-Farming, Production, Technology, Economics</mods:classification><mods:originInfo><mods:dateIssued encoding="iso8061">2015</mods:dateIssued></mods:originInfo><mods:originInfo><mods:publisher>International organization of Scientific Research</mods:publisher></mods:originInfo><mods:genre>Article</mods:genre></mets:xmlData></mets:mdWrap></mets:dmdSec><mets:amdSec ID="TMD_eprint_9316"><mets:rightsMD ID="rights_eprint_9316_mods"><mets:mdWrap MDTYPE="MODS"><mets:xmlData><mods:useAndReproduction>
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