Digital Twins

Digital twins. An interview with Koen de Koning

Dr. Koen de Koning

To prevent biodiversity loss, we need information about endangered species: where they live and how they move. In other words, we need data about habitat areas and migration routes. But how can one accurately track wild animals? Current monitoring tools can only provide information at one point in time, or at best on trends in the recent past. And for high quality tracking real-time data is needed. The solution is Digital Twin models. They combine prediction models with real-time data, and are widely used in engineering and construction. We talked to dr.ir. Koen de Koning, the author of the idea to apply Digital Twins in nature conservation, and developer of the first Digital Twin for biodiversity, the Crane Radar, on how it was developed and what are the challenges of being early adopters of this technology.

Nature FIRST is the first project to apply Digital Twin modelling to nature conservation. "It is a big challenge. But as a scientist, I can say it is exciting to be the first, come up and work on solutions that can help us better monitor nature and use technology for good," says Koen.

Digital Twins have already proven to be effective in various industries, from manufacturing to healthcare. It originated in the field of space engineering, and is still widely used by space agencies. The main feature of Digital Twins is that they work with real-time data and predictions based on scientific and expert knowledge. In contrast, general models are static and provide only snapshots of a condition at one point of time. "One of our challenges is to make sure there is no misunderstanding of the concept," highlights Koen. 

At Nature FIRST, the team that works on the development of Digital Twins consists of experts from various fields. "The advantage of the Nature FIRST consortium is a combination of expertise from different fields. In the team, we have ecologists who can explain processes in ecosystems, and software developers who can build real applications. This is exactly what's needed to properly build Digital Twins," says Koen.

The Crane Radar is the first version of a Digital Twin developed within Nature FIRST. It monitors migration routes of the cranes in the Netherlands, Germany, Belgium, Luxembourg  and France. "It started as a hobby of mine, I always liked observing birds, and cranes in particular. To see them, you need to be in the right place at the right time. Somehow I always missed it, and to solve this problem, I came up with an idea to create a Digital Twin for monitoring the cranes," shares Koen. 

Migration of the cranes has become the perfect starting material for building a Digital Twin as it has essential elements. Firstly, the direction of the routes is straightforward and easy to predict. The cranes are migrating from north-east to south-west in autumn, and south-west to north-east in spring. Secondly, birders report their crane observations on an online platform about location, time, and flight direction, which can be used for prediction. Being combined with wind predictions and flight prediction models, it creates a Digital Twin with real-time updates on where the cranes are flying. 

The Crane Radar can be easily accessed by anyone. You can record your own observations at Waarneming.nl as soon as you see a crane flying. As soon as it gets uploaded, you can be sure you have improved the prediction. The application is updated every minute for each group of migrating cranes. Of course, the application becomes active only during migration periods.

The Crane Radar developed by Nature FIRST can be further used in other regions. “One of the objectives of the Nature FIRST project is to identify what is necessary for scaling up Digital Twins,” says Koen. As for other species, the Digital Twin for the cranes can be easily adapted to monitor the sturgeon in the Danube river, one of the target species of the Nature FIRST project. “General rules to create a Digital Twin model for species in the state of migration are the same,” explains Koen. However, to monitor large carnivores such as wolves and bears, the research team will develop new types of Digital Twins. 

What are the main challenges?

Being the first adapter of Digital Twins in biodiversity preservation, Nature FIRST faces a few challenges. Firstly, it is the need to agree on a common definition of Digital Twins as a combination of prediction models and real-time data. Also, interdisciplinary cooperation is needed. "We are still learning how to build Digital Twins, and we can do so thanks to the experience of our colleagues from other fields," says Koen. 

In addition, policy makers need to understand limitations of Digital Twins. They can be used for the purposes they were built for. For example, the Crane Radar can only be used for monitoring the crane's migrations. Digital Twins mimic the natural processes, but they are still simplified models of reality and do not fully resemble every process. If explained adequately, the data provided by Digital Twins can help to make well-informed decisions to prevent biodiversity loss. 

Intro and Demo of Solutions for Biodiversity Monitoring

Join our online demo

Join an online session where we will showcase the achievements, solutions, and technologies of Nature FIRST, a project focused on biodiversity preservation. Our goal is to gather feedback from key stakeholders in the ecosystem, as they are the future users of our technology.
The session will begin with an introduction to the project, followed by a demonstration of our achievements and solutions.

After the demonstrations, we will open the floor to a Q&A session where you can ask questions and provide feedback. We hope to start a discussion about the ongoing challenges in biodiversity preservation and gather insights from key players in the field.
The session will take place on April 26, 14:00 CET. We look forward to your participation and contribution to this vital discussion. Please let us know if you can join by completing the form below. After completing the form, you will receive a link for the session!


Agenda (CET)

14:00 – 14:10

Introduction of Nature FIRST by Jan Kees from Sensing Clues

14:10 – 14:45

Nature FIRST tech & solutions demonstrations

  • Taxonomy crossovers: EUNIS, CLC, IUCN Red List, Natura2000 and more by Albin from the Semantic Web Company

  • Ecosystem base maps by Melanie from Sensing Clues

  • Intro to the Habitat Mapping method by Jan-Kees from Sensing Clues

  • TrapTagger for Species Recognition by Judith from Sensing Clues

  • Towards the Nature FIRST Knowledge Graph by Jan Kees

14:45 – 15:00

Q&A


About Nature FIRST

As a Horizon Europe project funded by the European Commission, Nature FIRST is developing predictive, proactive, and preventative tools for nature conservation.

Stay tuned to learn more about how we combine forensic intelligence, remote sensing technologies and digital twins to protect and restore biodiversity in Europe and beyond. The tools we are developing are tested and demonstrated in the following regions:

  • The Carpathian Mountains, a 1,500 km-long range in Central and Eastern Europe.

  • The Danube Delta River is Europe’s largest remaining natural wetland. The more significant part of the Danube Delta lies in Romania, and a small part is in Ukraine.

  • The Stara Planina Mountains are a mountain range in the eastern part of the Balkan Peninsula.

  • And the Ancares y O Courel, the largest green reserve in Galicia, Spain.

Learn more about the project on the Nature FIRST website.

Crane Radar Hackathon

The Crane Radar

The Crane Radar is a predictive map that gives birdwatchers a real-time indication of where and when crane birds can be spotted and the direction they are heading.

March of this year, Wageningen University (WUR) and Sensing Clues tested the first online version. Based on observations made by citizen scientists via the platform Waarneming.nl, flocks of cranes appeared on the map. An animation then showed the likely location of these flocks, based on the most recent observations, over 20 years of historic observations, and knowledge about for example their average flying speed.

Challenges

To improve the predictions, the hackathon was aimed at finding ways to incorporate additional environmental factors, such as local weather conditions. In addition we wanted to crack several technical issues of the web application, to allow as many bird enthusiasts as possible to use the crane radar during the upcoming autumn migration.

Results

Based on GPS data provided by the Swedish University of Agricultural Sciences, we were not only able to confirm that wind speed and direction significantly impact the speed and direction of cranes. We also cracked the mathematics behind drift and compensation, two important factors for improving our predictions.

What’s next

In the upcoming months the WUR and Sensing Clues are refining the models and preparing the website. We’ll bring it live in September, about a month before the actual migration starts.

Keep an eye out for our new and improved Crane Radar!

digital twins to foster peaceful Human-wildlife coexistence

Quick-response team in action. Photo by Keith Hellyer

All over the world, human-wildlife coexistence is under pressure. There are many different reasons, but almost all are related to land competition. People tend to use more and more space, but if the natural areas become too small, fragmented or depleted, wildlife is forced to enter human-dominated landscapes to search for food, water, partners and shelter. The consequences are sometimes grave. Crops are eaten and livestock and people attacked. People and wildlife even get killed.

To reduce this problem, many nature conservation organisations engage with local communities to mitigate the damage and establish conditions for peaceful coexistence between people and wildlife. Known solutions include guarding shepherd and dogs, financial schemes to compensate farmers, the funding and placement of fences to keep wildlife at bay, and early warning systems to detect wildlife.

All these measures are very costly and not always effective. Hence, innovations are needed to drive down the costs and boost the effectiveness of existing measures.

The Digital Twin-innovation that we are working on is aimed at boosting the effectiveness of existing measures.This is possible because Digital Twins are sophisticated simulation models that do 3 things:

  1. they predict where (groups of) animals are right now,

  2. the predictions are continuously updated through real-time observations in the field, and

  3. the prediction algorithms automatically become better through time as they learn from every new observation.

Together with the Wageningen University and others, we are developing digital twins for cranes, bears, and elephants (more species will follow!).

Stay tuned if you want to use our Digital Twins to foster peaceful human-wildlife coexistence!