Increasingly complex research questions and global challenges are driving rapid development, refinement, and uses of technology in ecology. This trend is spawning a distinct sub‐discipline, dubbed “technoecology” by Blake Allan and colleagues.
In this article, Euan Ritchie and Blake Allan explore some of these recent technological advances that have the potential to revolutionize ecology by providing “next‐generation” ecological data, particularly when integrated with each other.
Understanding Earth’s species and ecosystems is a monumentally challenging scientific pursuit. But with the planet in the grip of its sixth mass extinction event, it has never been a more pressing priority.
To unlock nature’s secrets, ecologists turn to a variety of scientific instruments and tools. Sometimes we even repurpose household items, with eyebrow-raising results – whether it’s using a tea strainer to house ants, or tackling botfly larvae with a well-aimed dab of nail polish.
But there are many more high-tech options becoming available for studying the natural world. In fact, ecology is on the cusp of a revolution, with new and emerging technologies opening up new possibilities for insights into nature and applications for conserving biodiversity.
Our study, published in the journal Ecosphere, tracks the progress of this technological development. Here we highlight a few examples of these exciting advances.
Tiny tracking sensors
Electronically recording the movement of animals was first made possible by VHF radio telemetry in the 1960s. Since then even more species, especially long-distance migratory animals such as caribou, shearwaters and sea turtles, have been tracked with the help of GPS and other satellite data.
But our understanding of what affects animals’ movement and other behaviours, such as hunting, is being advanced further still by the use of “bio-logging” – equipping the animals themselves with miniature sensors.
Many types of miniature sensors have now been developed, including accelerometers, gyroscopes, magnetometers, micro cameras, and barometers. Together, these devices make it possible to track animals’ movements with unprecedented precision. We can also now measure the “physiological cost” of behaviours – that is, whether an animal is working particularly hard to reach a destination, or within a particular location, to capture and consume its prey.
Taken further, placing animal movement paths within spatially accurate 3D-rendered (computer-generated) environments will allow ecologists to examine how individuals respond to each other and their surroundings.
These devices could also help us determine whether animals are changing their behaviour in response to threats such as invasive species or habitat modification. In turn, this could tell us what conservation measures might work best.
Remotely piloted vehicles, including drones, are now a common feature of our skies, land, and water. Beyond their more typical recreational uses, ecologists are deploying autonomous vehicles to measure environments, observe species, and assess changes through time, all with a degree of detail that was never previously possible.
Coupling autonomous vehicles with sensors (such as thermal imaging) now makes it easier to observe rare, hidden or nocturnal species. It also potentially allows us to catch poachers red-handed, which could help to protect animals like rhinoceros, elephants and pangolins.
Despite 3D printing having been pioneered in the 1980s, we are only now beginning to realise the potential uses for ecological research. For instance, it can be used to make cheap, lightweight tracking devices that can be fitted onto animals. Or it can be used to create complex and accurate models of plants, animals or other organisms, for use in behavioural studies.
Keeping electronic equipment running in the field can be a challenge. Conventional batteries have limited life spans, and can contain toxic chemicals. Solar power can help with some of these problems, but not in dimly lit areas, such as deep in the heart of rainforests.
“Bio-batteries” may help to overcome this challenge. They convert naturally occurring sources of chemical energy, such as starch, into electricity using enzymes. “Plugging-in” to trees may allow sensors and other field equipment to be powered cheaply for a long time in places without sun or access to mains electricity.
Read more: The Plant-Powered Camera Trap Challenge
All of the technologies described above sit on a continuum from previous (now largely mainstream) technological solutions, to new and innovative ones now being trialled.
Illustrative timeline of new technologies in ecology and environmental science. Source and further details at DOI: 10.1002/ecs2.2163. Credit: Euan Ritchie
Emerging technologies are exciting by themselves, but when combined with one another they can revolutionise ecological research. Here is a modified exerpt from our paper:
Imagine research stations fitted with remote cameras and acoustic recorders equipped with low-power computers for image and animal call recognition, powered by trees via bio-batteries. These devices could use low-power, long-range telemetry both to communicate with each other in a network, potentially tracking animal movement from one location to the next, and to transmit information to a central location. Swarms of drones working together could then be deployed to map the landscape and collect data from a central location wirelessly, without landing. The drones could then land in a location with an internet connection and transfer data into cloud-based storage, accessible from anywhere in the world.
Visualisation of a future smart research environment, integrating multiple ecological technologies. The red lines indicate data transfer via the Internet of things (IoT), in which multiple technologies are communicating with one another. The gray lines indicate more traditional data transfer. Broken lines indicate data transferred over long distances. (1) Bio-batteries; (2) The Internet of things (IoT); (3) Swarm theory; (4) Long-range low-power telemetry; (5) Solar power; (6) Low-power computer; (7) Data transfer via satellite; and (8) Bioinformatics. Source and further details at DOI: 10.1002/ecs2.2163. Credit: Euan Ritchie
These advancements will not only generate more accurate research data, but should also minimise the disturbance to species and ecosystems in the process.
Not only will this minimise the stress to animals and the inadvertent spread of diseases, but it should also provide a more “natural” picture of how plants, animals and other organisms interact.
Realising the techno-ecological revolution will require better collaboration across disciplines and industries. Ecologists should ideally also be exposed to relevant technology-based training (such as engineering or IT) and industry placements early in their careers.Several initiatives, such as WILDLABS, the Conservation Technology Working Group and TechnEcology, are already addressing these needs. But we are only just at the start of what’s ultimately possible.
About the Authors
Euan Ritchie is as associate Professor in Wildlife Ecology and Conservation at Deakin University's Centre for Integrative Ecology. He applies ecological theory with good doses of field work to seek solutions to the challenges of conserving biodiversity.
Blake Allan enjoys using new technology to investigate species habitat preferences, population biology, spatial movement patterns, and behavioural energetics. He is the Chief Remote Pilot for Deakin University and co-ordinate a statewide citizen science UAV project mapping coastal compartments.