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<eml:eml scope="system" system="https://dataportal.senckenberg.de" packageId="6463bcbc-b477-4f39-b4f0-b03b0c274481" xsi:schemaLocation="https://eml.ecoinformatics.org/eml-2.2.0" xmlns:eml="https://eml.ecoinformatics.org/eml-2.2.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><dataset><title>Impact of human activities on Pama wildlife partial faunal and its related agrosystems (south-eastern Burkina Faso) in a context of climate change</title><creator><individualName><givenName>Soungalo</givenName><surName>SOULAMA</surName></individualName><organizationName>University of Ouagadougou, UNDESERT project</organizationName><address><city>Ouagadougou</city><postalCode>03 BP 7021</postalCode><country>Burkina Faso</country></address></creator><metadataProvider><individualName><givenName>Soungalo</givenName><surName>SOULAMA</surName></individualName></metadataProvider><associatedParty><individualName><givenName>Soungalo</givenName><surName>SOULAMA</surName></individualName><role>associatedParty</role></associatedParty><associatedParty><individualName><givenName>Adjima</givenName><surName>THIOMBIANO</surName></individualName><role>Co-owner</role></associatedParty><associatedParty><individualName><givenName>Yvonne</givenName><surName>BACHMANN</surName></individualName><role>Co-owner</role></associatedParty><pubDate>2015-02-18</pubDate><abstract><para>ETM + 193-52- of Landsat-7 on 20 October 2001 th and  ETM + 193-52 of Landsat LC-8-on 19 October 2013th , images are used. These two images have 30 meter spatial resolution and UTM zone 31 N projection with reference ellipsoid WGS84.
Then, Fada N'gourma and Pama climatic stations annual rainfall data over the period 1953 -2013 are used.
Finally vegetation parameters are collected from 377 plots concerning: woody and herbaceous species richness, plant coverage, herb and shrubs height, the density (number of individuals / ha) of woods and individuals regeneration and basal area.
</para></abstract><keywordSet><keyword>climate</keyword><keyword>land degradation</keyword><keyword>land use</keyword><keyword>landsat</keyword><keyword>south-eastern burkina faso</keyword></keywordSet><intellectualRights><para>Obtain permission from data set owner(s)</para></intellectualRights><coverage><geographicCoverage><geographicDescription>Pama wildlife reserve, Eastern Burkina Faso</geographicDescription><boundingCoordinates><westBoundingCoordinate>0.65</westBoundingCoordinate><eastBoundingCoordinate>0.5</eastBoundingCoordinate><northBoundingCoordinate>11.95</northBoundingCoordinate><southBoundingCoordinate>11.3667</southBoundingCoordinate></boundingCoordinates></geographicCoverage><temporalCoverage><rangeOfDates><beginDate><calendarDate>2001-10-20</calendarDate></beginDate><endDate><calendarDate>2013-10-19</calendarDate></endDate></rangeOfDates></temporalCoverage></coverage><contact><individualName><givenName>Soungalo</givenName><surName>SOULAMA</surName></individualName><organizationName>University of Ouagadougou, UNDESERT project</organizationName><address><city>Ouagadougou</city><postalCode>03 BP 7021</postalCode><country>Burkina Faso</country></address><electronicMailAddress>soulsoung@yahoo.fr</electronicMailAddress></contact><methods><methodStep><description><section>
<title>Landsat images classification and vegetation characteristics</title>
<para>Vegetation parameters are collected from 377 plots concerning: woody and herbaceous species richness, plant coverage, herb and shrubs height, the density (number of individuals / ha) of wood and individuals regeneration and basal area. On each plot of 50 x 20 m, vegetation type was noted according to the type of Yangambi (Aubreville, 1957). Sub plots of 10 m &#215; 10 m for herbaceous and 5 m &#215; 5 m for individuals regeneration (dbh &lt;5 cm), were performed as well as information related to soil surface.
Classification of Landsat images is done and codification of classes based on the nomenclature of Food and Agricultural Organization (2000) is used to assess the change in vegetation (table 3). Finally, calculation of the standardized precipitation index (SPI) is used to monitoring changes in vegetation dynamics in relation to changes in rainfall.</para>
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