Saving elephants and rhinos from extinction is achievable, but it requires a multifaceted global effort. African nations are calling for international help and we want to answer their call.
We are a not-for-profit registered charity, dedicated to stopping the unnecessary slaughter of African elephants and rhinos. Our intention is to donate mapping software, equipment and free training to African parks, reserves and conservancies.
However, in order to achieve this we require funds and so far we haven't been able to raise enough. Every donation counts, no matter how small - if each person that read this made a tiny donation we'd soon be well on our way to achieving our objectives.
NB. Everyone at Poaching Prevention works without payment and most of our administrative costs have been covered by our founder. Therefore, unlike many other charities, the vast majority of your donation will go directly to cause!
To prevent poaching of rhinos, elephants and other endangered species, through the provision of technology, equipment and specialist training.
To provide national parks, reserves, conservancies & partner NGOs with free anti-poaching support, including but not limited to:
To raise awareness, collaborate with stakeholders and facilitate community engagement initiatives.
- monitoring - mapping - predicting - preventing -
Our co-director, Professor Thomas Snitch, and his former team at UMIACS developed a supercomputer-based capability for predicting when and where poachers would enter a park or reserve. Their analytical models informed the likely location of rhinos at any given time, and the modus operandi of poachers in that area. However, over the past few years, Tom has lent his knowledge and expertise to in situ anti-poaching organisations and, in so doing, has concluded that supercomputers and satellites (which are extremely expensive to operate) are not essential because comparable results can be achieved through more cost effective, readily available, lower tech solutions that aren’t heavily dependent on enormous datasets.
By applying the principles learnt during the trials in southern Africa, rhino and poacher behaviour can still be predicted, and by avoiding the use of supercomputers and satellites more funds can be allocated toward equipment, training and boots on the ground.