Tracking Origin of Poached African Elephant Ivory
Working to protect endangered species through DNA analyses of contraband, seized from the illegal wildlife trade.
Background

Poaching decimated African elephant populations from ~ 1.3 million to 500,000 individuals in the eight years between 1979 and 1987.

This prompted the Convention on International Trade in Endangered Species (CITES) to list the African elephant as endangered in 1989.  However, the illegal ivory trade has once again increased to its highest levels in history.  Much of this demand is being driven by the growing economy in China and the prestige associated with owning ivory in that nation.

Pressure by some nations to lift the ivory trade ban has also persisted, while other nations have argued this would exacerbate poaching continent-wide.

Forest elephants add another challenge. They are currently being slaughtered across central Africa because logging, road building and the bushmeat trade have recently made elephants more vulnerable to poaching. However, poaching in forests cannot be monitored by aerial surveys as in savanna habitat.

To address these problems, we developed a genetic method to track the geographic origin of poached ivory.

Objectives 

Identify poaching hot spots and potential trade routes by determining the geographic origin of contraband ivory seized by wildlife authorities.

Methods
DNA is successfully isolated from small amounts of ivory, sampled anywhere along the length of the tusk (Fig. 1). A unique genetic “fingerprint” of the elephant is acquired from the DNA extracted from the ivory. We also extract the same genetic information from elephant feces. Use of fecal DNA enabled us to quickly assemble a geographic-based map of elephant gene frequencies across Africa . We applied these gene frequencies to a novel statistical smoothing method that creates a continuous distribution of elephant gene frequencies across the continent. This allowed us to estimate each sample's position (Fig. 2) across Africa , including areas with no reference samples, as well as the confidence of each estimate.

We are now collaborating with the Interpol Working Group on Wildlife Crime and the Lusaka Agreement Task Force (LATF), using these methods to determine the geographic composition of major ivory seizures moving from Africa to the Far East . We are striving to improve the accuracy of predictions by filling the remaining gaps in the gene frequency map used to determine elephant origin. DNA extracted from feces provides a non-invasive method of rapidly acquiring these reference data samples from across Africa .

Figure 1. DNA is purified from pulverized ivory and used to create genetic fingerprints.
Our first investigation inferred the geographic origin of the largest ivory seizure since the 1989 ivory trade ban—6.5 tons of ivory seized in Singapore , June 2002, en route from Malawi .  This shipment contained 531 tusks, many of which were atypically large (mean = 11 kg), suggesting it was targeting wealthy buyers.  The shipment also contained 42,000 hankos (small solid ivory cylinders used to make individual seals for letters), representing 20% of Japan ’s annual hanko sales.
Figure 2. Estimated position of each sample (color-coded circle) relative to its actual sampling location (color-coded cross). In some locations resolution sufficient to distinguish elephants from neighboring protected areas.

West Forest (cyan)

Central Forest (red)

Central Savanna (black)

East Savanna (blue)

South Savanna (green)

Figure 3. 6.5 tons of ivory seized in Singapore , June 2002
Results

Wildlife authorities initially suspected that this ivory came from multiple locations across forest and savanna Africa .  However, our results showed that the ivory was entirely from savanna elephants, originating from a narrow E-W band of southern Africa, centered on Zambia (Figure 4).  This enabled law enforcement to focus their investigation to a smaller area and fewer trade routes, and led to changes within the Zambian government that significantly improved their anti-poaching efforts. 

Figure 4. Assignment results for 37 tusks from the Sindapore seizure. The estimated locations of origin (circles) of the 37 tusks analyzed are shown. (Left) Results using the additional reference samples from Zambia, Malawi, and Selous. (Right) Results without these additional reference samples.
Implications

Our approach is providing reliable information on where ivory poaching is most concentrated in Africa .  Such information tells authorities where greater enforcement efforts are needed and helps to identify trade routes used to move ivory inside and outside Africa . Results also create accountability that forces nations to be more responsive to poaching in their country.  

Information gathered from these analyses, and associated increases in seizure rates, should enable international authorities to more effectively track the consequences of future trade decisions.

Traffic in forest elephant ivory can also be used to indicate hotspots in the burgeoning bushmeat trade across central Africa . These methods may be among the only reliable means to monitor trade in forest ivory and bushmeat because poached carcasses are difficult to detect in dense forests.

Additional uses include:

Detecting whether declared government ivory stockpiles are being sold off and illegally replenished.

Detection of illegally traded tusks from other countries in sanctioned ivory sales.

Figure 5. Ecoguard dung samples from Nduzo Bokomo-Bolungi for our DNA reference map. Participation of local rangers in sample collections is pivotal to the success of our project. It also serves to educate local people that something is being done to combat poaching on a broader scale.
Acknowledgements

This research is being funded by grants from the U.S. Fish and Wildlife Service Elephant Conservation Act, the International Fund for Animal Welfare and the Bosack Kruger Charitable Foundation. This study is being conducted in collaboration with several government agencies and NGO's, including: Interpol, Lusaka Agreement Task Force, WCS, WWF, CITES MIKE, and Sokoine University of Agriculture.

For Further Information

The statistical methods described here are implemented in the software package SCAT (Smoothed and Continuous Assignment Tests), which can be accessed at:

Publications
Wasser SK, C Mailand, R Booth, B Mutayoba, E Kisamo, B Clark, M Stephens. (2007) Using DNA to track the origin of the largest ivory seizure since the 1989 trade ban. Proceedings National Academy of Sciences 104: 4228-4233.

Wasser SK , A. Shedlock, K. Comstock, E. Ostrander, B. Mutayoba, M. Stephens. (2004). Assigning African elephant DNA to geographic region of origin. Applications to the ivory trade. Proceedings National Academy of Sciences 101: 14847-14852.