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Executive
Summary - Occasional Paper No. 22 - African Elephant Database 1998
The African Elephant
Database 1998 is a comprehensive overview of numbers
and distribution of the African elephant (Loxodonta
africana), published by IUCN in its Occasional
Paper series. Based on a GIS-database maintained
by the IUCN/SSC African Elephant Specialist Group (AfESG)
in Nairobi, Kenya, it updates the African Elephant
Database 1995 (Said et al., 1995) with information
collected during the years 1995 to 1998. Data from 37
countries from four regions of the African continent
(Central, Eastern, Southern and West) are displayed
in the form of text, tables of estimates and GIS-generated
maps showing elephant range, protected areas and major
geographical features. The country and regional data
contribute to the overall continental data which are
also summarised on maps and tables. All the source material
is referenced and an introductory section details the
background and structure of the database, the methodology
used for counting elephants, and the criteria for determining
the reliability and quality of data.
Over the centuries the range
of the African elephant has shrunk and become fragmented,
most noticeably in West Africa. Of the 37 remaining
countries with African elephant populations, about one-third
harbour less than 10,000 individuals, often in scattered
populations. There is considerable variation from country
to country in data reliability and quality, for several
reasons. For example, many range states are experiencing
political strife or economic difficulties and thus lack
the resources to conduct regular wildlife surveys. Vast
areas of elephant range are forested, particularly in
Central Africa, where elephants are counted by indirect
dung count methods and results from relatively small
survey zones are extrapolated to much larger areas.
Countries with savannah elephant populations tend to
be mainly in Southern and Eastern Africa, where elephants
can be counted more accurately from the air. Even in
these regions, however, several range sates are not
able to produce regular updates of numbers and range.
Because of this variation in data quality, it is inappropriate
to summarise all estimates into one continental total.
This is why the authors decided to categorsie the estimates
according to the quality and reliability of the data
received, into four distinct groups based on criteria
drawn up by the AfESG's Data Review Taskforce. Thus
for every country and region, and ultimately for the
continent itself, elephant estimates are expressed as
Definite, Probable, Possible, and Speculative. These
mutually exclusive categories can be interpreted simply
to mean that in any given country there are "definitely"
(w) number of elephants, "probably" (w + x)
number of elephants, "possibly" (w + x + y)
number of elephants and "speculatively" (w
+ x + y + z) number of elephants. The categorisation
provides a basis for addition at least within categories
and enables the reader to discern the quality of data
in a particular country at a glance. It provides the
stimulus for improving the accuracy of data collection,
and highlights areas for further improvement and analyses.
The African Elephant Database
1998 is an objective representation of the status of
the African elephant today. The GIS approach provides
a valuable overview which enables individual populaitons
to be seen in a continental perspective.
The publication is
available in full on the web, and hard copies can
be ordered from: IUCN/SSC AfESG Secretariat c/o WWF-EARPO
PO Box 62440 Nairobi, Kenya. Email: afesg@wwfeafrica.org
ISBN: 2-8317-0492-8
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