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- Kurzbeschreibung<p>Nigeria's vast land area is mostly covered with natural vegetation. The vegetation cover is<BR>wide-ranging and reflects past and present climatic variations. Nigeria's vegetation cover is<BR>rapidly changing due to natural and anthropogenic influences. Nigeria's population growth<BR>rate is one of the highest in the world, where a large proportion of this population are<BR>peasant farmers exploiting the rural environment. Previous studies have shown that<BR>vegetation cover in some parts of Nigeria is fast declining. The report on the<BR>implementation of Agenda 21 (UNCED, 1997) of the United Nations Commission<BR>Conference on Environment and Development (UNCED, 1992), which is a long-term<BR>global action plan for sustainable development, reported that there is still a persistent<BR>decline in the general vegetation cover across Nigeria due to population pressure,<BR>overgrazing and continuous exploitation of marginal lands for various purposes. It therefore<BR>suggests that periodic assessment and management of this vegetation cover for ecological<BR>sustainability would be highly desirable.<BR>With barely $280 GNP per capita and accumulated foreign debts of over US$28 billion, a<BR>cost-effective approach to resource management and monitoring could be appropriate. This<BR>study employs the use of coarse spatial but high temporal resolution Advanced Very High<BR>Resolution Radiometer-Normalised Difference Vegetation Index (AVHRR-NDVI) data<BR>from the Pathfinder Land (PAL) dataset to identify and evaluate vegetation cover change.<BR>This data is administered by the National Oceanic Atmospheric Administration and<BR>National Aeronautics Space Administration (NOAA/NASA) and is, most importantly,<BR>freely available. The datasets used were recomposed into monthly Maximum Value (MVC)<BR>and annual mean composites in order to assess broadly the changes in vegetation cover<BR>across the whole of Nigeria. One hundred and twenty annual gridded point precipitation<BR>data for 12 years at 1° resolution covering the whole country were acquired from the Global<BR>Precipitation and Climatology Centre (GPCC), and were regressed linearly as a function of<BR>13 other variables in order to create models for estimating spatial rainfall data for the whole country.<BR></p>
- AutorSadiq Abdullahi Yelwa
- Ausgabe1. Auflage
- VerlagCuvillier Verlag
- Seiten374 Seiten
- Gewicht482 g
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