Drone Ecologies: Exploring the opportunities and risks of aerial monitoring for biodiversity conservation

Drones, also known as unmanned [sic] aerial vehicles (UAVs), are becoming an increasingly common technology within conservation, with uses ranging from mapping vegetation cover, to detecting poachers, to delineating community land claims. Drones are favoured as they’re cheaper and simpler than rival remote sensing technologies such as satellites, yet despite their benefits, they pose a number of issues regarding personal privacy rights and can be difficult to navigate in environments like dense forests. Moreover, as social scientists have previously highlighted, monitoring technologies such as drones have the potential to be used for covert surveillance in conservation areas as part of what they call ‘green securitisation’ (Kelly and Ybarra, 2016; Massé, 2018). To date, however, there has been limited discussion between drone practitioners and scientists across disciplines regarding what a drone can do, and how it is done.

This was the inspiration behind Drone Ecologies, an online workshop hosted by the University of Bristol on the 5th and 6th of July 2021. With over 60 participants representing various disciplines across the social and natural sciences, as well as experts from the arts, industry, and NGOs, the workshop aimed to create an open space for important interdisciplinary dialogues concerning the use of drones for conservation purposes. Through a series of panels, presentations, and breakout activities, we discussed the technical, operational, and analytical dimensions of drones, as well as the ethical, political, and sociocultural impacts of introducing drones and other monitoring technologies into conservation spaces. This essay offers an overview of the conversations that took place during the workshop, and we invite others to take part in these ongoing discussions.

Image 1: Calibrating drone sensors. Credit: Isla Myers-Smith

Our opening panel explored some of the operational benefits of drone technologies for environmental researchers. Drones can provide optical coverage over large areas with high spatial and temporal resolution, and have been successfully deployed to monitor various wildlife populations; assess changes in land cover; and map human-landscape interactions. However, with an increase in the technical capabilities of both drones and the sensors they carry, drones are becoming more than just airborne cameras. They can now be used to monitor other environmental components—e.g. noise, air pollution, and pollen levels—opening the door for new and diverse forms of data generation and analysis. Another emerging feature with huge potential for data collection is the integration of drones with other devices as part of the Internet of Things (IoT). Networks of coordinated drones that are able to share information and react in real-time could become instrumental in new anti-poaching efforts and for long-term, large-scale environmental monitoring.

Alongside a discussion of the advantages that drones provide for researchers and state agencies, much attention was given to the ways in which drones may be used to benefit local communities by, for example, monitoring forest fires within their concessions, or by demonstrating sustainable forest stewardship. Speakers such as Jaime Paneque-Gálvez and Nicolás Vargas-Ramírez from the National Autonomous University of Mexico showed how several community-based projects in South and Central America successfully utilised low-cost drones for participatory mapping processes. The researchers presented their experiences in teaching peasant and Indigenous communities in Mexico, Bolivia and Peru how to pilot and maintain drones, and how to incorporate drone-based imagery and orthomosaics into GIS products. These high-resolution, geo-referenced maps could then be used as evidence for territorial claims, or to expose environmental damage to forests and rivers. The use of drones granted the communities access to greater levels of spatial and temporal resolution with lower financial barriers, as well as greater degrees of inclusivity and autonomy over data collection when compared to satellite products.

Image 2: Composite imagery of illegal gold mining and participants of a community drone workshop in Peru. Credit: Paneque-Gálvez et al. (2017)

Despite the logistical advantages of drones, there are still drawbacks regarding their use in environmental monitoring. Although they may reduce some environmental disturbances associated with monitoring—e.g. the cutting of tracks for transects—they also introduce new concerns, such as acoustic disturbance to wildlife under observation (and otherwise). However, some of the biggest concerns discussed during the second panel of the workshop were the negative impacts that drones may have on the communities living in and around the conservation areas being monitored. Trishant Simlai, a PhD candidate at the University of Cambridge, gave a plenary presentation showing how drones in India, along with other technologies used for conservation monitoring, form part of a deliberate system of surveillance and harassment of forest communities by the forestry department, exacerbating local inequalities along lines of class, caste, and gender, and producing ‘atmospheres’ of control. The second panel’s presentations also highlighted how, regardless of the operator’s intent, communities and individuals alter their behaviour when monitoring technologies are deployed by, for instance, avoiding areas that may have previously provided refuge and privacy.

During a group dialogue on green securitisation, Boise State University’s Libby Lunstrum posited several key observations on drones which formed the basis of ongoing conversations. Firstly, the militaristic origin of drone technologies raises concerns about the complicity of drone use with broader shifts towards militarised conservation and human rights violations. Secondly, unlike the cases presented by Paneque-Gálvez and Vargas-Ramírez, underlying power relations may mean that drone technologies are not always truly accessible for all community members. There are also epistemic concerns regarding the relationship between the disembodied and ‘objective’ knowledge purportedly produced by drones and the embodied and situated forms of knowledges produced by other, on-the-ground methods. Finally, there are a range of critical questions concerning the political economy of drone production: who is investing in these technologies? How do militarised actors participate in conservation, at times greenwashing harmful practices against local communities? How are drones complicit with these dynamics, and how do we reconcile that with their positive uses?

Given the above considerations, and the increasing use of drones for data collection, much of the final discussion at the workshop focused on the ethical implications of using drones within conservation. Drawing inspiration from Sandbrook et al.’s (2021) recent paper on the socially responsible use of conservation monitoring technology, we amended the guidelines set out in their paper to be specifically applicable to drones. Some key concerns included issues of proportionality—whether drones are always necessary tools for conservation practices—and the importance of recognising and foreseeing the potential for social implications in the first place. These concerns, we believe, are often obscured by the techno-optimism that surrounds drones, alongside a generally prevalent faith in technological solutions to conservation problems.

Image 3: Various groups involved in a community drone workshop in Panama. Credit: Paneque-Gálvez et al. (2017)

By the end of the workshop, it was clear that the use of drones for conservation purposes is a complex matter, and their use is subject to many conflicting ideas. Drones configure power relations in which social, political, and economic asymmetries and vulnerabilities can be exacerbated. However, drones can also be used for environmental justice purposes and can aid in the reduction of inequalities when their use is democratised and appropriate for local communities. The workshop also revealed some of the networks, assemblages, and ecosystems that drones inhabit, and that constitute power relations in which drones could play a role. It is important that these networks of relationships and interests that mobilise drones and other complementary technologies—e.g. satellite images—are made explicit, so that we can understand new configurations of power that are developing and identify those who benefit from the introduction of drones.

Additionally, the workshop also highlighted the relevance of multi- and interdisciplinary dialogues in understanding and developing the use of drones and other types of monitoring technologies for conservation purposes. We believe that it is important for these interdisciplinary networks to be established, and to continue exploring the complex impacts that drones have on environments, humans, and conservation practices. The interdisciplinarity approach simultaneously engages different disciplinary approaches and ethics, mitigating any blind spots within research and fully illuminating any potential damage or disturbances arising from drone use. This workshop marked an opening of these dialogues which we hope will continue within this emerging space, building towards the development of cross-disciplinary guidelines and policies for the ethical and responsible use of drones in conservation.

Recorded sessions from the workshop can be viewed at http://www.bristol.ac.uk/cabot/events/2021/drone-ecologies.html

References

Kelly AB and Ybarra M (2016) Introduction to themed issue: ‘Green security in protected areas’. Geoforum 69: 171–175. DOI: 10.1016/j.geoforum.2015.09.013.

Massé F (2018) Topographies of security and the multiple spatialities of (conservation) power: Verticality, surveillance, and space-time compression in the bush. Political Geography 67: 56–64. DOI: 10.1016/j.polgeo.2018.10.001.

Paneque-Gálvez J, Vargas-Ramírez N, Napoletano B, et al. (2017) Grassroots innovation using drones for Indigenous mapping and monitoring. Land 6(4): 86. DOI: 10.3390/land6040086.

Sandbrook C, Clark D, Toivonen T, et al. (2021) Principles for the socially responsible use of conservation monitoring technology and data. Conservation Science and Practice 3(5). DOI: 10.1111/csp2.374.

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This blog was written by Cabot Institute for the Environment members Ben Newport and Georgios Tzoumas; and Mónica Amador and Juan Felipe Riaño. It has been reposted with kind permission. View the original blog.

The social animals that are inspiring new behaviours for robot swarms

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Termite team.
7th Son Studio/Shutterstock

From flocks of birds to fish schools in the sea, or towering termite mounds, many social groups in nature exist together to survive and thrive. This cooperative behaviour can be used by engineers as “bio-inspiration” to solve practical human problems, and by computer scientists studying swarm intelligence.

“Swarm robotics” took off in the early 2000s, an early example being the “s-bot” (short for swarm-bot). This is a fully autonomous robot that can perform basic tasks including navigation and the grasping of objects, and which can self-assemble into chains to cross gaps or pull heavy loads. More recently, “TERMES” robots have been developed as a concept in construction, and the “CoCoRo” project has developed an underwater robot swarm that functions like a school of fish that exchanges information to monitor the environment. So far, we’ve only just begun to explore the vast possibilities that animal collectives and their behaviour can offer as inspiration to robot swarm design.

Swarm behaviour in birds – or robots designed to mimic them?
EyeSeeMicrostock/Shutterstock

Robots that can cooperate in large numbers could achieve things that would be difficult or even impossible for a single entity. Following an earthquake, for example, a swarm of search and rescue robots could quickly explore multiple collapsed buildings looking for signs of life. Threatened by a large wildfire, a swarm of drones could help emergency services track and predict the fire’s spread. Or a swarm of floating robots (“Row-bots”) could nibble away at oceanic garbage patches, powered by plastic-eating bacteria.

A future where floating robots powered by plastic-eating bacteria could tackle ocean waste.
Shutterstock

Bio-inspiration in swarm robotics usually starts with social insects – ants, bees and termites – because colony members are highly related, which favours impressive cooperation. Three further characteristics appeal to researchers: robustness, because individuals can be lost without affecting performance; flexibility, because social insect workers are able to respond to changing work needs; and scalability, because a colony’s decentralised organisation is sustainable with 100 workers or 100,000. These characteristics could be especially useful for doing jobs such as environmental monitoring, which requires coverage of huge, varied and sometimes hazardous areas.

Social learning

Beyond social insects, other species and behavioural phenomena in the animal kingdom offer inspiration to engineers. A growing area of biological research is in animal cultures, where animals engage in social learning to pick up behaviours that they are unlikely to innovate alone. For example, whales and dolphins can have distinctive foraging methods that are passed down through the generations. This includes forms of tool use – dolphins have been observed breaking off marine sponges to protect their beaks as they go rooting around for fish, like a person might put a glove over a hand.

Bottlenose dolphin playing with a sponge. Some have learned to use them to help them catch fish.
Yann Hubert/Shutterstock

Forms of social learning and artificial robotic cultures, perhaps using forms of artificial intelligence, could be very powerful in adapting robots to their environment over time. For example, assistive robots for home care could adapt to human behavioural differences in different communities and countries over time.

Robot (or animal) cultures, however, depend on learning abilities that are costly to develop, requiring a larger brain – or, in the case of robots, a more advanced computer. But the value of the “swarm” approach is to deploy robots that are simple, cheap and disposable. Swarm robotics exploits the reality of emergence (“more is different”) to create social complexity from individual simplicity. A more fundamental form of “learning” about the environment is seen in nature – in sensitive developmental processes – which do not require a big brain.

‘Phenotypic plasticity’

Some animals can change behavioural type, or even develop different forms, shapes or internal functions, within the same species, despite having the same initial “programming”. This is known as “phenotypic plasticity” – where the genes of an organism produce different observable results depending on environmental conditions. Such flexibility can be seen in the social insects, but sometimes even more dramatically in other animals.
Most spiders are decidedly solitary, but in about 20 of 45,000 spider species, individuals live in a shared nest and capture food on a shared web. These social spiders benefit from having a mixture of “personality” types in their group, for example bold and shy.

Social spider (Stegodyphus) spin collective webs in Addo Elephant Park, South Africa.
PicturesofThings/Shutterstock

My research identified a flexibility in behaviour where shy spiders would step into a role vacated by absent bold nestmates. This is necessary because the spider colony needs a balance of bold individuals to encourage collective predation, and shyer ones to focus on nest maintenance and parental care. Robots could be programmed with adjustable risk-taking behaviour, sensitive to group composition, with bolder robots entering into hazardous environments while shyer ones know to hold back. This could be very helpful in mapping a disaster area such as Fukushima, including its most dangerous parts, while avoiding too many robots in the swarm being damaged at once.

The ability to adapt

Cane toads were introduced in Australia in the 1930s as a pest control, and have since become an invasive species themselves. In new areas cane toads are seen to be somewhat social. One reason for their growth in numbers is that they are able to adapt to a wide temperature range, a form of physiological plasticity. Swarms of robots with the capability to switch power consumption mode, depending on environmental conditions such as ambient temperature, could be considerably more durable if we want them to function autonomously for the long term. For example, if we want to send robots off to map Mars then they will need to cope with temperatures that can swing from -150°C at the poles to 20°C at the equator.

Cane toads can adapt to temperature changes.
Radek Ziemniewicz/Shutterstock

In addition to behavioural and physiological plasticity, some organisms show morphological (shape) plasticity. For example, some bacteria change their shape in response to stress, becoming elongated and so more resilient to being “eaten” by other organisms. If swarms of robots can combine together in a modular fashion and (re)assemble into more suitable structures this could be very helpful in unpredictable environments. For example, groups of robots could aggregate together for safety when the weather takes a challenging turn.

Whether it’s the “cultures” developed by animal groups that are reliant on learning abilities, or the more fundamental ability to change “personality”, internal function or shape, swarm robotics still has plenty of mileage left when it comes to drawing inspiration from nature. We might even wish to mix and match behaviours from different species, to create robot “hybrids” of our own. Humanity faces challenges ranging from climate change affecting ocean currents, to a growing need for food production, to space exploration – and swarm robotics can play a decisive part given the right bio-inspiration.The Conversation

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This blog was written by Cabot Institute member Dr Edmund Hunt, EPSRC Doctoral Prize Fellow, University of BristolThis article is republished from The Conversation under a Creative Commons license. Read the original article.

Edmund Hunt