Temminck's ground pangolin (Smutsia temminckii) is one of the few large mammals in sub-Saharan Africa for which basic population data — numbers, range boundaries, connectivity — is still largely unknown. Camera trap surveys and telemetry studies have provided local density estimates for specific reserves, but a national-scale picture has been slow to emerge. Population genetics is helping to fill this gap, not by counting animals directly but by reading the genetic diversity, structure, and connectivity of the species across its South African range. What the data is revealing shapes how conservation managers make decisions about reserves, translocations, and long-term viability planning.
For most wildlife species, population size and structure can be estimated from direct observation — aerial counts, transect surveys, camera trap networks. Pangolins resist all of these approaches. They are nocturnal, solitary, and cryptic; they occur at low densities even in good habitat; and they do not aggregate at predictable locations. A camera trap survey that would reliably count a hundred impala in a given area might detect two or three pangolins over the same period, even if the actual density is much higher.
Genetics provides a way around this observational bottleneck. If researchers can collect biological material — shed scales, faeces, hair, or blood from immobilised animals — they can extract DNA and generate individual genetic profiles. These profiles allow population geneticists to ask questions that observation alone cannot answer: how many genetically distinct individuals use a particular area, how related those individuals are to each other, and how much genetic exchange occurs between different areas separated by landscape features or land-use boundaries.
Genetic sampling of ground pangolins across South Africa has been conducted primarily in Limpopo, which holds the country's densest and best-documented populations. The Tuli Block area along the Zimbabwe and Botswana borders, the Waterberg, the Greater Kruger region, and the Lowveld have provided most of the samples used in South African population genetics studies to date.
The picture that has emerged from microsatellite and mitochondrial DNA analyses is of a broadly connected population across Limpopo and into adjacent countries, with gene flow occurring across the Limpopo River and through the Tuli corridor. Animals in the Greater Kruger area show genetic similarity to those in southern Mozambique and eastern Zimbabwe, reflecting the historical continuity of habitat that existed before intensive agricultural and infrastructural development fragmented the landscape.
In contrast, pangolin populations further west and south — the Kalahari and Northern Cape — show greater differentiation. The drier biomes of these regions have lower pangolin density, which limits opportunities for reproduction between individuals from different areas, and the combination of low density and geographic isolation is beginning to show up as reduced heterozygosity in western samples relative to those from the more connected Limpopo populations.
South Africa's landscape is one of the most heavily fenced in Africa. Game fences define the boundaries of most private reserves, and the country's livestock farming regions are extensively subdivided. For a species like the ground pangolin, which can travel several kilometres each night and whose home ranges may exceed 20 km2, fence lines represent hard genetic barriers that field observation alone would not reveal.
Genetic analysis of pangolins on either side of fence lines within Limpopo has confirmed that fencing reduces gene flow significantly. Animals in adjacent reserves separated by a game fence show lower genetic relatedness than the geographic distance between them would suggest if movement were unrestricted. This is particularly significant in areas where reserves are small — under 10,000 hectares — and the resident pangolin population may number fewer than ten individuals, making inbreeding depression a realistic medium-term risk if gene flow is permanently interrupted.
The identification of genetic barriers through population genetics analysis has informed advocacy for wildlife movement corridors and for management interventions such as translocation, which can artificially restore gene flow that fencing has eliminated. Several Limpopo reserves have modified fence designs in response to evidence from movement ecology and genetics research, installing pangolin-permeable sections that allow individuals to cross between properties without requiring full removal of fencing infrastructure.
The ethical and practical constraints on pangolin research have driven innovation in non-invasive genetic sampling. Capturing pangolins, immobilising them, and collecting blood samples is possible but stressful for the animal and requires veterinary involvement. Non-invasive methods that provide DNA from materials the animal sheds naturally are increasingly preferred.
Shed scales are the most accessible material in areas where pangolins are regularly handled or where rehabilitation facilities maintain records of individual animals. Scales retain viable DNA at the root for months after shedding, and have been used to generate complete microsatellite profiles for genetic analysis. Faecal samples are more difficult — environmental DNA degrades rapidly in warm, humid conditions, and the extraction process has to account for the high proportion of insect DNA in pangolin droppings. However, faecal analysis has been validated for pangolin species identification and is now used in some forensic contexts, and ongoing work aims to extend its use to individual identification in the field.
Camera traps equipped with scent lures positioned near established burrow systems have been used to collect hair samples from pangolins investigating the lure — though this has had mixed success given that pangolins rely more on smell than vision and their interaction with artificial lures is inconsistent. The most reliable non-invasive approach remains scale collection from known individuals in rehabilitation programmes, supplemented by opportunistic sampling of wild-caught animals during veterinary interventions for tracking device fitting.
Genetic rescue — the deliberate introduction of individuals from outside a population to increase genetic diversity and reduce inbreeding — is now a recognised tool in conservation biology. For pangolins in South Africa, the question is whether and when translocation between reserves should be used for genetic management rather than purely for restocking depleted properties after poaching losses.
The first requirement is an understanding of population structure. Moving animals between populations that are genetically similar carries little genetic benefit and may carry logistical risk (disease transmission, stress mortality). Moving animals between populations that are highly divergent can theoretically disrupt local adaptations, though for a species with as little divergence time as South African pangolins this risk is considered low.
Practical translocation protocols developed by the Pangolin Working Group and adopted by several Limpopo reserves now include pre-translocation genetic screening — microsatellite genotyping of both donor and recipient individuals — to confirm that moved animals are not already closely related to the receiving population and that the genetic contribution they will make is beneficial. This is a modest but meaningful advance over translocations conducted purely on the basis of proximity and cage availability.
South African pangolin populations do not exist in genetic isolation. The species ranges from South Africa north to Sudan, and there is genetic exchange across borders wherever habitat connectivity remains. The Limpopo River corridor, the Tuli Block, and the Kruger-Gonarezhou-Banhine transfrontier conservation area are all zones where genetic exchange between South African and neighbouring country populations has been documented or inferred from pattern analysis.
This regional connectivity has implications for conservation policy. A management decision that reduces gene flow across the Limpopo River — such as a fence that blocks animal movement or increased poaching pressure in the border zone — affects not just South African pangolins but the genetic viability of populations in Zimbabwe and Botswana that draw partly on southern African diversity. Transboundary conservation agreements that include genetic monitoring are rare but represent the only way to manage this connectivity systematically.
A limiting factor for both conservation genetics and forensic application is the size and geographic coverage of the South African reference database. Forensic assignment of confiscated animals to source population requires dense reference sampling across the potential source area. Currently, the reference database for South African ground pangolins is strongest for Limpopo and weakest for the Northern Cape, Kalahari, and the boundary zones with Botswana and Namibia where some trafficking activity originates.
Expanding the reference database requires coordinated tissue banking from legally handled individuals — animals in rehabilitation, fitted with trackers, or collected post-mortem — and systematic deposition of data into accessible repositories. The African Wildlife Genomics programme and several university collaborations are working to fill these gaps, but the low encounter rate with the species means that building a comprehensive southern African reference panel is a multi-year project even under optimistic assumptions about researcher access and funding.
Are South African pangolins genetically diverse?
Temminck's ground pangolin in South Africa shows moderate genetic diversity, with Limpopo populations more connected and diverse than drier western populations. Fragmentation from fencing is reducing gene flow between sub-populations.
Can genetics tell us how many pangolins are in South Africa?
Genetic mark-recapture using non-invasive sampling can estimate population size within a study area without physically capturing every individual, and has been used in several Limpopo reserves.
Does translocation affect pangolin genetics?
Yes. Translocations between isolated populations can restore gene flow and improve long-term viability. Genetic screening before translocation is now standard practice to ensure compatibility between donor and recipient populations.