Over the last few years the conservation movement has been enthusiastically deploying new surveillance technologies that make it possible to monitor and protect the natural world in ways once unimaginable. There are camera traps that can send live images of warthogs, lions and blurry things with legs direct to your desktop. There are unmanned aerial vehicles (or drones) that buzz overhead, filming orang-utan nests or measuring forest loss. There are tiny tracking devices that can be fitted to wild animals, allowing them to be followed from space as they wander around the Kenyan plains or fly across the ocean. And there are computer programmes that can predict the behaviour of poachers and send drones out to intercept them.
All of this is very exciting for conservationists. New gizmos promise better and cheaper data that can be used to monitor populations and understand threats, and new ways to tackle those threats. What’s more, some of the outputs of the technology are visually appealing and easily communicated to the general public through websites and smartphone apps, meaning that technologies can also be used to raise funds and promote public awareness.
Clearly new technology has a lot of potential for conservation, and websites like the newly launced WildLabs.net showcase the range of applications that are being developed. But is there another side to this story? Are there any potential risks or dangers lurking in the shadows as conservation rushes to deploy the latest gadgets? Continue reading →
Citizen Science is not one thing, and typologies have been developed that recognise the different roles of citizens in the process (e.g. as passive participants or as active owners of the research) and the varied nature of the tasks performed by citizen scientists (e.g. as ‘sensors’ making observations or as problem solvers). Perhaps the most profound distinction is between individuals who participate in citizen science for pleasure as a hobby, and those for whom the findings have direct implications for their underlying wellbeing. The former category typically involves relatively wealthy people in developing countries (such as expert amateur birdwatchers) whereas the latter category is particularly relevant to conservation in developing countries, where many people depend on natural resources for their livelihoods.
Conservation citizen science in developing countries – often called ‘community-based monitoring’ – is growing in popularity. It has the potential, in theory, to create a fantastic win-win-win. Local people collect data on wildlife and resource use that are highly valuable to conservation and conservation science: win one. These data can then be fed into management of the same natural resources, creating improved long-term conservation outcomes: win two. At the same time, the process of involving local people in study design, data collection and (sometimes) management is empowering, which can create meaningful improvements in wellbeing for local people: win three. There is a real buzz at the moment about the potential of local citizen science to deliver this triple-win, but how robust is it in the face of changing conditions? In particular, to what extent is it dependent on the limitations of current technology? Continue reading →