ATREE warmly invites you to a talk by Dr. Lucy Rist, Consultant to Centre for International Forestry Research in Indonesia and UN-REDD in Geneva, who will be presenting a talk on "Using Traditional Knowledge in Forest Management"
March 12, 2010, 4.00 pm at the ATREE auditorium, Bangalore.
Many forest communities possess considerable knowledge of the natural resources they utilise. Such knowledge can potentially inform scientific approaches to management, either as a source of baseline data to fill information gaps that cannot otherwise be addressed or to provide alternative management approaches from which scientists and managers might learn. Much discussion has focused on the integration of traditional ecological knowledge (TEK) into management, but less attention has been paid to identifying specific areas where it is most useful and where it may be most problematic. In this talk I will consider some of these issues, contrasting scientific data with information from TEK in the context of a threat to the sustainable utilization of Amla. In the BRT wildlife sanctuary Amla currently suffers from heavy infection by mistletoe with consequences for tree productivity and survival. Institutional perspectives on the appropriate management response to this problem conﬂict with local practice. Further I will therefore evaluate the potential of TEK to provide novel solutions to this management problem.
A brief profile of the Speaker, Dr Lucy Rist
Lucy did her PhD at Imperial College in London investigating mistletoe infection of Amla in BRT. She then went on to ETH in Zurich, Switzerland where she did a Post doc with Jaboury Ghazoul working on the livelihood impacts of oil palm in Indonesia and on the sustainable harvesting of Coco de Mer in the Seychelles. Since last summer she has been working independently as a consultant to the Centre for International Forestry Research in Indonesia and to one of the major REDD programs, UN-REDD in Geneva. Later in the year will begin a new post doc in Sweden working on concepts of resilience in socioecological forest systems.