Continuous monitoring of rainforest biodiversity via acoustic signal processing
Lead Research Organisation:
Imperial College London
Department Name: Life Sciences
Abstract
There is only limited knowledge of how biodiversity changes through time, yet understanding those changes represents one of the great challenges to ecology. Knowing exactly how biodiversity is changing is important for determining which species are endangered and which are not, and for creating accurate indices that can be used to assess how effectively conservation money has been spent. There is a direct analogue with climate change: only through detailed climate data from automated monitoring stations have scientists been able to determine the rate and likely future impact of changing global climates. Exactly the same is true of biodiversity: we require detailed data from automated monitoring stations to determine the magnitude of the current extinction crisis and to best target the limited amount of money available to counteract it.
The principal explanation for our lack of knowledge is the labour costs associated with monitoring biodiversity. It is expensive to have trained scientists conducting field surveys, and the solution is to monitor biodiversity using technology rather than people. Our work will do this by automated processing of acoustic data. Sound carries substantial information about biodiversity, being used for navigation and communication by a wide range of taxa. Acoustic information can tell us a lot about which bats, grasshoppers, birds and amphibians are present in a given area. It has even been used to identify individuals, with some species such as gibbons and dolphins having calls that are distinct to every single animal in the population, much as people have distinctive voices and names.
We are going to stream data from a solar-powered sound recording system through mobile networks to an automated computer processing facility that will decipher the environmental noise to tell us which species are contributing to that noise. Our work will be take place in the rainforests of Borneo, one of the world's most biodiverse habitats and one of the most challenging natural environments in which to work. If we can successfully use technology to automatically record biodiversity here, then we can do it anywhere.
We're going to combine our research with a free public radio station to be broadcast online, providing the public with a direct line to the rainforest itself. We hope that giving people the opportunity we have had of waking up to the sound of gibbons whooping to each other and the laughing calls of rhinoceros hornbills whomping past overhead will help convince them that, although rainforests are a long way away, they are beautiful environments that can be enjoyed even from afar.
The principal explanation for our lack of knowledge is the labour costs associated with monitoring biodiversity. It is expensive to have trained scientists conducting field surveys, and the solution is to monitor biodiversity using technology rather than people. Our work will do this by automated processing of acoustic data. Sound carries substantial information about biodiversity, being used for navigation and communication by a wide range of taxa. Acoustic information can tell us a lot about which bats, grasshoppers, birds and amphibians are present in a given area. It has even been used to identify individuals, with some species such as gibbons and dolphins having calls that are distinct to every single animal in the population, much as people have distinctive voices and names.
We are going to stream data from a solar-powered sound recording system through mobile networks to an automated computer processing facility that will decipher the environmental noise to tell us which species are contributing to that noise. Our work will be take place in the rainforests of Borneo, one of the world's most biodiverse habitats and one of the most challenging natural environments in which to work. If we can successfully use technology to automatically record biodiversity here, then we can do it anywhere.
We're going to combine our research with a free public radio station to be broadcast online, providing the public with a direct line to the rainforest itself. We hope that giving people the opportunity we have had of waking up to the sound of gibbons whooping to each other and the laughing calls of rhinoceros hornbills whomping past overhead will help convince them that, although rainforests are a long way away, they are beautiful environments that can be enjoyed even from afar.
Planned Impact
One of the likely impacts of our work is to help automate the collection of data feeding into globally important indicators of biodiversity and ecosystem health. For example, the WWF Living Planet Index relies on primary field data collected on a wide variety of species through time. The technology we are developing has the potential to generate detailed time series for many species simultaneously, and at very low cost - our estimates suggest we can reduce the annual cost of continuous monitoring by 98%, while simultaneously increasing the diversity of taxa being recorded and temporal resolution of the data being recorded. Such an automated method would also be of direct benefit to many conservation organisations. An example would be the IUCN who compile the Red List Data Books, detailing changes in the population trends of individual species as they are assigned to conservation prioritisation categories.
There is an opportunity to engage a wider public audience in this research through the development of an internet radio station. The potential audience for such a radio station is large. For example, the Royal Society for the Protection of Birds in the United Kingdom has more than one million members, and the equivalent society in the USA is the National Audubon Society with more than 600,000 members. The SAFE Project currently has a following of >110,000 people on Facebook, all of whom have some interest in the rainforest environment and may potentially engage with the radio station.
We plan to engage both the scientific and public audiences through a single website hosting an internet radio station, tentatively titled 'Hutan Radio' ('hutan' is Malay for 'forest'), playing the sounds being recorded in the rainforest . Ultimately, we would want to use such a radio station to help crowd source the identities of species, thereby gaining a significant knowledge flow from the public to researchers, but this falls beyond the scope of our Proof of Concept proposal.
There is an opportunity to engage a wider public audience in this research through the development of an internet radio station. The potential audience for such a radio station is large. For example, the Royal Society for the Protection of Birds in the United Kingdom has more than one million members, and the equivalent society in the USA is the National Audubon Society with more than 600,000 members. The SAFE Project currently has a following of >110,000 people on Facebook, all of whom have some interest in the rainforest environment and may potentially engage with the radio station.
We plan to engage both the scientific and public audiences through a single website hosting an internet radio station, tentatively titled 'Hutan Radio' ('hutan' is Malay for 'forest'), playing the sounds being recorded in the rainforest . Ultimately, we would want to use such a radio station to help crowd source the identities of species, thereby gaining a significant knowledge flow from the public to researchers, but this falls beyond the scope of our Proof of Concept proposal.
Publications
Fulcher BD
(2020)
A self-organizing, living library of time-series data.
in Scientific data
Heath BE
(2021)
How index selection, compression, and recording schedule impact the description of ecological soundscapes.
in Ecology and evolution
Lubba C
(2019)
catch22: CAnonical Time-series CHaracteristics Selected through highly comparative time-series analysis
in Data Mining and Knowledge Discovery
Sethi S
(2020)
SAFE Acoustics: An open-source, real-time eco-acoustic monitoring network in the tropical rainforests of Borneo
in Methods in Ecology and Evolution
Sethi S
(2018)
Robust, real-time and autonomous monitoring of ecosystems with an open, low-cost, networked device
in Methods in Ecology and Evolution
Sethi S
(2021)
Soundscapes predict species occurrence in tropical forests
in Oikos
Sethi SS
(2020)
Characterizing soundscapes across diverse ecosystems using a universal acoustic feature set.
in Proceedings of the National Academy of Sciences of the United States of America
Description | Post-grant, we have managed to develop an open-source hardware and software system that obtains the monitoring data we initially targeted, but without relying on commercial suppliers with bespoke equipment that we had ascertained within the grant period were not adaptable to our goals. |
Exploitation Route | We have provided open-source instructions for constructing and implementing our hardware/software solution. |
Sectors | Environment |
Description | We have been developing our system into a form that will be suitable for commercialisation - selling both the hardware and a service based around our analyses of ecoacoustic data. We have, to date, set up our first contract (~£30k) to supply an ecoacoustic monitoring programme in Norway, and are in the process of developing a business plan and company structure. |
First Year Of Impact | 2021 |
Sector | Environment |
Impact Types | Economic |
Title | Continuous acoustic monitoring tool |
Description | An open source, inexpensive, fully autonomous ecosystem monitoring unit for capturing and remotely transmitting continuous data streams from field sites over long time-periods. We provide a modular software framework for deploying various sensors, together with implementations to demonstrate proof of concept for continuous audio monitoring and time-lapse photography. |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2018 |
Provided To Others? | Yes |
Impact | NA |
URL | https://sarabsethi.github.io/autonomous_ecosystem_monitoring/ |
Description | WWF-UCL Biome Health Project |
Organisation | World Wide Fund for Nature |
Country | Switzerland |
Sector | Charity/Non Profit |
PI Contribution | We are generating data as one site of four in a global project to develop technological methods for assessing the health of biomes. |
Collaborator Contribution | They've provided funding to allow us to further develop our acoustic monitoring system, install and operate multiple units, and generate field data to validate our acoustic indices. |
Impact | NA |
Start Year | 2017 |
Description | Acoustics@SAFE |
Form Of Engagement Activity | Engagement focused website, blog or social media channel |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Public/other audiences |
Results and Impact | We developed an online radio station that continuously broadcasts forest acoustics. The website has been covered in a number of international news articles and blog posts, and has attracted a possible new partner that we are exploring options for developing a commercial agreement with. |
Year(s) Of Engagement Activity | 2020,2021,2022 |
URL | http://acoustics.safeproject.net/ |