Counting Pangolins: Population Estimates and Research Methods

Published: June 18, 2025

Of the world's eight pangolin species, not one has a reliable global population count. This is not an oversight — it is a reflection of how extraordinarily difficult these animals are to study. Nocturnal, solitary, fossorial, and occurring at naturally low densities, pangolins defeat many of the standard tools conservationists rely on. Understanding how researchers attempt to count pangolins, what the numbers actually suggest, and where the data gaps remain is essential context for anyone following pangolin conservation.

Why Counting Pangolins Is Uniquely Difficult

Most wildlife population surveys depend on animals being visible, audible, or leaving abundant signs. Pangolins fail most of these criteria. Temminck's ground pangolin (Smutsia temminckii), the only pangolin species native to South Africa, is strictly nocturnal and spends most daylight hours inside burrows — either self-excavated or taken over from aardvarks and other species. A researcher walking a transect through prime Limpopo savanna in daylight may pass within twenty metres of a resting pangolin and detect nothing.

Pangolins do not vocalise to advertise territory. They do not aggregate at water sources or feeding trees in ways that make counting straightforward. Their tracks are distinctive but require soft substrate and a trained eye to distinguish from other species. Scats are infrequent and difficult to assign to individual animals. Olfactory marking occurs but is not accompanied by visible scratching or rubbing that leaves persistent signs.

Population density is also naturally low. Unlike small mammals that can reach dozens per hectare, large-bodied insectivores with high energy requirements spread themselves thinly across landscapes. This means survey effort must cover large areas to detect meaningful numbers of individuals, raising the cost and logistical complexity of any study.

Survey Methods Used in Practice

Camera Trap Arrays

Camera traps placed at known travel corridors, burrow entrances, and water sources have produced some of the most reliable pangolin detection data. Studies in the Limpopo Lowveld and Tswalu Kalahari Reserve in South Africa have used systematic camera arrays to estimate minimum population sizes and calculate occupancy across grid cells. The limitation is detection probability: a pangolin walking within range of a camera may pass undetected if it is on the edge of the infrared sensor zone or if wind moves vegetation across the trigger beam.

Track Stations and Transects

Sand track stations — cleared patches of soft sand placed at intervals along transects — are a low-cost method that has been used in Zimbabwe and Botswana. Trained field staff walk the transects at dawn and record any pangolin prints. This method works best in sandy soils after recent rain and is least effective in rocky terrain or during dry conditions when the ground surface is hard.

Scent Detection Dogs

Conservation detection dogs trained to locate pangolin scent have been trialled in southern Africa with promising results. Dogs can cover terrain faster than human trackers and are not limited to readable substrates. Studies comparing dog teams against camera grids found that dogs detected occupancy in a higher proportion of grid cells, suggesting they are more sensitive at low densities. The method requires significant investment in training and handler expertise, which limits its scalability.

Radio-Telemetry and GPS Collaring

For individual animals, VHF radio-telemetry and more recently GPS collar systems have provided home range data that feeds into density estimation. If the average home range size for a population is known, occupancy data can be converted into rough density figures. This approach was used in the Limpopo research that produced the widely cited 0.1 to 0.3 individuals per square kilometre figure for suitable savanna habitat.

Published Density Estimates by Region

The most detailed density estimates for Temminck's ground pangolin come from South Africa and Zimbabwe. Research in the Limpopo Lowveld — spanning privately managed reserves, community conservation areas, and the Kruger National Park buffer zone — has produced estimates in the range of 0.1 to 0.3 animals per square kilometre in high-quality habitat. Kruger National Park's interior, with lower human pressure and intact savanna structure, likely holds higher local densities in some zones, but systematic survey data covering the full park area does not yet exist.

Zimbabwe Lowveld studies, particularly in the Save Valley Conservancy, suggest broadly similar densities, with variation explained by vegetation type, proximity to human settlement, and the historical trajectory of anti-poaching effort in each area. Drier areas with more open vegetation show lower densities, consistent with lower prey (termite and ant colony) density.

For African tree pangolins (Phataginus tricuspis) in Central and West African forest zones, density data is far thinner. Forest survey methods are more complex, and these species are arboreal, adding a vertical dimension that ground-based surveys miss entirely. Published estimates are scarce and carry very wide confidence intervals.

Population Trend Modelling and the IUCN Red List

The IUCN Red List assessment for Temminck's ground pangolin relies on modelled population trend data rather than a direct count. The Vulnerable classification is triggered by a criterion of suspected decline exceeding 30 percent over three generations (approximately 21 years for this species), inferred from the combination of field observations, ranger encounter rates over time, and the trajectory of illegal trade. This is not the same as demonstrating that decline through a replicated population census — it is a precautionary inference based on converging lines of indirect evidence.

Population viability analysis (PVA) models for pangolins have been developed by researchers at several institutions but are sensitive to assumptions about survival rates and reproductive output, both of which are poorly constrained by available data. Small changes in modelled adult survival produce large changes in projected population trajectory, highlighting how much uncertainty remains.

Seizure Data as a Population Proxy

When direct population data is absent, conservation scientists sometimes use illegal trade records as an indirect indicator. TRAFFIC maintains a global pangolin seizure database drawing on government records, court documents, and NGO reports. The logic is that if the wild population is declining, either seizure volumes will drop as the resource depletes, or prices will rise as scarcity drives up value — both of which should eventually leave a detectable signal.

In practice the relationship is complicated by changes in enforcement intensity, trafficking route shifts, and the emergence of new consumer markets. A spike in recorded seizures may reflect better law enforcement rather than increased poaching pressure. Researchers treat seizure trend data as one signal among several rather than a direct population index.

What We Still Do Not Know

Despite the growth of pangolin research since 2010, fundamental questions remain unanswered. No reliable total population estimate exists for any pangolin species. Juvenile survival rates in the wild are essentially unknown. Recruitment rates (how many pups per female per year actually survive to breeding age) have not been measured in a rigorous field study. Long-distance dispersal patterns, which are important for understanding gene flow between fragmented populations, have only been partially captured by telemetry studies with relatively short tracking durations.

South Africa's conservation infrastructure — including reserves like Tswalu, the Lowveld research network, and organisations such as the African Pangolin Working Group — represents the most concentrated effort to fill these gaps. The data generated there will form the empirical backbone for regional Red List reassessments in coming years.

Frequently Asked Questions

How do scientists count pangolins in the wild?

Researchers use a combination of methods including camera trap arrays, track station transects, scent-detection dog surveys, and acoustic monitoring. Because pangolins are nocturnal and secretive, no single method is sufficient and studies typically combine several approaches to produce density estimates.

What is the estimated pangolin population density in southern Africa?

Published estimates for Temminck's ground pangolin (Smutsia temminckii) range from about 0.1 to 0.3 individuals per square kilometre in suitable savanna habitats such as the Limpopo Lowveld and parts of Kruger National Park. Zimbabwe Lowveld studies suggest similar or slightly lower densities in drier areas.

Why is it so difficult to get an accurate pangolin population count?

Pangolins are nocturnal, largely solitary, and occur at low natural densities. Their fossorial habits — spending daylight hours underground — mean they evade standard wildlife survey techniques. They do not vocalise regularly and leave subtle signs that require skilled trackers or trained dogs to detect reliably.

Can illegal trade seizure data tell us about wild pangolin numbers?

Seizure records are used as a proxy indicator of population trends. Rising seizure volumes may reflect either higher trafficking activity or reduced wild populations driving up prices. Researchers at TRAFFIC and the IUCN SSC Pangolin Specialist Group use seizure trend analysis alongside field data, but the relationship is imprecise and subject to enforcement variability.

What IUCN Red List category are African pangolins listed under?

Temminck's ground pangolin is classified as Vulnerable on the IUCN Red List. The classification reflects a suspected population decline of at least 30 percent over three generations, driven primarily by illegal hunting for trade and bushmeat. The four Asian species carry higher threat categories, with the Sunda pangolin listed as Critically Endangered.