Iguanas from Above: New Airborne Approaches to Population Surveying

Institute Seminar by Amy MacLeod

  • Institute seminar talk on Monday
  • Date: Oct 21, 2024
  • Time: 10:30 AM - 11:30 AM (Local Time Germany)
  • Speaker: Amy MacLeod
  • Amy MacLeod is a British-born Zoologist, now based at the University of Leipzig. Since 2012, Amy has studied the marine iguana, employing a variety of field methods and genetic approaches to understanding the conservation, population biology, taxonomy, and evolutionary history of the species. A member of the IUCN Iguana Specialist Group, she authored the 2020 Red List assessment for the marine iguana and is a globally recognised authority on the species. Amy is the creator and leader of Iguanas from Above, a project which develops novel techniques to address surveying issues in the Galapagos and beyond.
  • Location: University of Konstanz + online
  • Room: M630
  • Host: Max Planck Institute of Animal Behavior
  • Contact: esampaio@ab.mpg.de
Iguanas from Above: New Airborne Approaches to Population Surveying
The marine iguana (Amblyrhynchus cristatus) is an iconic endangered species of the Galapagos archipelago which faces mounting anthropogenic threats. During the last three decades, much has been learned about the species from an ecological and evolutionary perspective. However — due to significant logistical constraints — baseline data on population sizes, health, and locations across the archipelago are lacking; this severely impedes both conservation and research efforts. In this presentation, I will introduce our current project “Iguanas from Above” which is pioneering the use of drones, flown from boats, to collect aerial images above marine iguana colonies. This new approach has been validated against traditional ground-based survey methods, such as simple counts and Capture-Mark-Resight. I will also discuss our use of citizen scientists in data analysis, showing that — with sufficient image quality — online volunteers can reliably find and count marine iguanas. Finally, I will share the next stages of the work, including preliminary insights from the use of Machine Learning for image analysis, and discuss further applications for the approach.

The MPI-AB Seminar Series is open to members of MPI and Uni Konstanz. The zoom link is published each week in the MPI-AB newsletter.

Go to Editor View