Kalahari Wildlife Density Modeled Using Indigenous Tracking and Statistics
Wildlife researchers working in Botswana’s Western Kgalagadi Conservation Corridor have published a new study in Conservation Biology combining traditional indigenous tracking skills with modern statistical models to estimate absolute population densities for 13 large and medium-sized mammal species. The research addresses a critical gap in managing unfenced multi-use areas where free-roaming wildlife shares space with expanding livestock farming and human settlements.
According to ebiotrade.com, the study was conducted between 2019 and 2021 along a 1,037-kilometer repeat survey route in the Ghanzi district. Researchers partnered with local certified indigenous trackers using CyberTracker software to record animal tracks, ages, and GPS locations, applying the Formozov–Malyshev–Pereleshin formula to calculate absolute density from fresh tracks.
Population Estimates Reveal Herbivore Dominance and Carnivore Stability
The surveys recorded 25,357 total tracks across 14,450 locations, yielding 9,577 fresh tracks for absolute density calculations and 22,793 tracks for spatial modeling. Gemsbok emerged as the most abundant species, followed by red hartebeest, greater kudu, and ostrich, with herbivores comprising 97 percent of total recorded abundance and large carnivores making up the remaining 3 percent.
While large carnivore densities remained stable over the three-year study period, several herbivore populations showed significant declines. Blue wildebeest and springbok populations dropped significantly, while red hartebeest and greater kudu showed near-significant downward trends. Researchers linked these shifts to a combination of the 2018–2019 drought, expanding cattle post development between 2015 and 2021, and localized hunting pressures.
Environmental Predictors Shape Wildlife Distribution Across Botswana
Spatial analysis using sdMGB spatial generalized linear mixed models mapped relative track densities against environmental variables such as distance to cattle posts, commercial farms, salt pans, fossil valleys, and vegetation indices. Cattle posts exerted a strong negative effect on the track density of almost all species—particularly gemsbok, eland, and lions—with the notable exceptions of springbok and African wild dogs.
Vegetation characteristics and soil nutrient availability from fossil valleys and salt pans strongly influenced herbivore distribution, often outweighing the impact of rainfall. Burned areas showed positive correlations with most herbivores but generally negative associations with carnivores. The modeling identified critical ecological corridors, including routes connecting the Central Kalahari Game Reserve to the Kgalagadi Transfrontier Park, though livestock expansion has increasingly constricted these pathways.
Frequently Asked Questions About the Kalahari Tracking Study
How did researchers calculate absolute animal density from tracks?
Researchers used the Formozov–Malyshev–Pereleshin formula, which estimates absolute population density by counting fresh animal tracks recorded within 24 hours along standardized survey lines and correcting for species-specific detection probabilities.
Which species faced the steepest population declines during the survey?
Blue wildebeest and springbok showed statistically significant population drops over the three-year study period, while red hartebeest and greater kudu experienced near-significant downward trends.
What role did local communities play in the research?
Local certified indigenous trackers partnered directly with scientists to record wildlife data using CyberTracker devices, providing vital tracking expertise while generating employment and preserving traditional ecological knowledge.
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