This archive of reports of wildlife surveys in Namibia aims to:
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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Estimating abundance of wildlife populations can be challenging and costly, especially for species that are difficult to detect and that live at low densities, such as cougars (Puma concolor). Remote, motion‐sensitive cameras are a relatively efficient monitoring tool, but most abundance estimation techniques using remote cameras rely on some or all of the population being uniquely identifiable. Recently developed methods estimate abundance from encounter rates with remote cameras and do not require identifiable individuals.
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Estimating abundance of an unmarked_low_density species using cameras.pdf | 590.21 KB |
Assessing the numbers and distribution of threatened species is a central challenge in conservation, often made difficult because the species of concern are rare and elusive. For some predators, this may be compounded by their being sparsely distributed over large areas. Such is the case with the cheetah Acinonyx jubatus. The IUCN Red List process solicits comments, is democratic, transparent, widely-used, and has recently assessed the species.
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The distribution and numbers of cheetah in southern Africa_2017.pdf | 6.63 MB |
Many long-distance migrating shorebird (i.e., sandpipers, plovers, flamingos, oystercatchers) populations are declining. Although regular shorebird monitoring programs exist worldwide, most estimates of shorebird population trends and sizes are poor or nonexistent. We built a state-space model to estimate shorebird population trends. Compared with more commonly used methods of trend estimation, state-space models are more mechanistic, allow for the separation of observation and state process, and can easily accommodate multivariate time series and nonlinear trends.
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Mahango bird count January 2002.pdf | 353.37 KB |
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Mahango wetland bird count_January 2001.pdf | 292.11 KB |
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January wetland bird count in the Mahango Game Reserve_Kavango.pdf | 291.82 KB |