Dr Lucas Joppa
Computational Ecology and Environmental Sciences, Microsoft Research
Dr Robin Freeman
University College London
- O’Brien, T.G. et al. 2010 The Wildlife Picture Index: monitoring top trophic levels. Animal Conservation 13, 335-343
- Walters, C.L. et al. 2012 A continental-scale tool for acoustic identification of European bats. Journal of Applied Ecology 49, 1064-1074
- Dean, B. et al. 2012 Behavioural mapping of a pelagic seabird: combining multiple sensors and a hidden Markov model reveals the distribution of at-sea behaviour. Journal of the Royal Society Interface10, 20120570
We are in the midst of two ages – the Information Age of laptops, tablets, smart phones and social networking, and the Anthropocene Age, defined by an exceptionally rapid loss of biodiversity caused by human activity.
How it works
This exhibit will demonstrate how scientists can harness the technology from the Information Age to help monitor and respond to environmental change and biodiversity loss. Using pioneering computational methods, scientists can obtain data on where species are found and the size of their population, and use software applications and statistical models to predict where they will be found in future. This information is essential to understanding the potential changes in an ecosystem under different scenarios.
From smartphones to satellites, human technology can be used to monitor, model and respond to threats to our global environment. Camera technology can be used to identify and observe the diversity of animals in a particular area, sending the information directly to a mobile phone application.
By receiving a constant stream of information, scientists can produce accurate local models of biodiversity, and changes can be quickly identified to create accurate global models. The information can then be shared with scientists around the world, enabling a coordinated global response to biodiversity loss.