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Namibian Wildlife Surveys archive

This archive of reports of wildlife surveys in Namibia aims to:

  • provide easy public access to published information and statistics
  • enable easy stakeholder access to recent and historical data on wildlife populations
  • provide a comprehensive archive of wildlife survey reports in Namibia

Public access to information is a vital component of ensuring community engagement in prevalent issues. Wildlife surveys are critical to determine the health of wildlife populations and determine trends over time to guide conservation and management actions. 

Wildlife surveys are done for different species using methods that are suited to counting them (e.g. by air or road) in their natural habitats. Such surveys need to be repeated over time to detect long-term trends and inform conservation managers. The Namibian government, non-governmental organisations and private reserves all conduct regular surveys covering different parts of Namibia and targeting different species. This archive will thus serve as a repository of our collective knowledge of the trends and status of a variety of species occurring throughout Namibia.

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Tan J 2024. Analysis of largest elephant surveys ever shows stable population, but disturbing trends.

New research comparing data from the two largest-ever elephant surveys reveals the overall population in the Kavango Zambezi Transfrontier Conservation Area is stable, but also uncovers some concerning local trends. Elephant numbers in Botswana, home to more elephants than any other country, are stable overall, but declining numbers in areas where hunting is permitted, and increasing numbers in protected areas, suggest underlying issues for Botswana's elephants.

Augustine BC, Royle A, Murphy SM, Chandler RB, Cox JJ, Kelly MJ 2019. Spatial capture-recapture for categorically marked populations with an application to genetic capture-recapture. Ecosphere 10 (4) e02627

Recently introduced unmarked spatial capture–recapture (SCR), spatial mark–resight (SMR), and 2-flank spatial partial identity models (SPIMs) extend the domain of SCR to populations or observation systems that do not always allow for individual identity to be determined with certainty. For example, some species do not have natural marks that can reliably produce individual identities from photographs, and some methods of observation produce partial identity samples as is the case with remote cameras that sometimes produce single-flank photographs.

Chase MJ, Schlossberg S, Griffin CR, Bouché PJC, Djene SW, Elkan PW, Ferreira S, Grossman F, Kohi EM, Landen K, Omondi P, Peltier A, Selier SAJ, Sutcliffe R 2016. Continent-wide survey reveals massive decline in African savannah elephants. PeerJ

African elephants (Loxodonta africana) are imperiled by poaching and habitat loss. Despite global attention to the plight of elephants, their population sizes and trends are uncertain or unknown over much of Africa. To conserve this iconic species, conservationists need timely, accurate data on elephant populations. Here, we report the results of the Great Elephant Census (GEC), the first continent-wide, standardized survey of African savannah elephants. We also provide the first quantitative model of elephant population trends across Africa.

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