Digital twins: dynamic model-data fusion for ecology

Koning, Koen de; Broekhuijsen, Jeroen; Kühn, Ingolf; Ovaskainen, Otso; Taubert, Franziska; Endresen, Dag; Schigel, Dmitry; Grimm, Volker

doi:10.1016/j.tree.2023.04.010

Cited by 25 publications

(11 citation statements)

References 56 publications

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“…The digital twin concept for ecosystems is still in a conceptual phase (Buonocore et al., 2022), substantial research is imperative to realistically represent biodiversity in land‐surface models (Bendix et al., 2021; Scheiter et al., 2013). Today, several prototypes of a Digital Twin for biodiversity are currently being developed (de Koning et al., 2023), but these will not be able to fully predict the feedback loops described here and thus must be used in concert with fully dynamic modeling schemes.…”

Section: Discussionmentioning

confidence: 99%

Biodiversity and Climate Extremes: Known Interactions and Research Gaps

Mahecha,

Bastos,

Bohn

et al. 2024

Earth's Future

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Climate extremes are on the rise. Impacts of extreme climate and weather events on ecosystem services and ultimately human well‐being can be partially attenuated by the organismic, structural, and functional diversity of the affected land surface. However, the ongoing transformation of terrestrial ecosystems through intensified exploitation and management may put this buffering capacity at risk. Here, we summarize the evidence that reductions in biodiversity can destabilize the functioning of ecosystems facing climate extremes. We then explore if impaired ecosystem functioning could, in turn, exacerbate climate extremes. We argue that only a comprehensive approach, incorporating both ecological and hydrometeorological perspectives, enables us to understand and predict the entire feedback system between altered biodiversity and climate extremes. This ambition, however, requires a reformulation of current research priorities to emphasize the bidirectional effects that link ecology and atmospheric processes.

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Section: Discussionmentioning

confidence: 99%

Biodiversity and Climate Extremes: Known Interactions and Research Gaps

Mahecha,

Bastos,

Bohn

et al. 2024

Earth's Future

Self Cite

View full text Add to dashboard Cite

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“…Furthermore, huge computational power is now available from ever more powerful mobile devices and desktop workstations with dozens of CPU cores to cloud server systems with practically unlimited dynamic virtual machine scaling. All this drives interest in digital twins in many areas of biology, such as of organs and bodies (Coveney & Highfield, 2023), fish farms (Su et al., 2023) and ecologies (de Koning et al., 2023). A digital twin is a mechanistic simulation model that accurately represents some object of the physical world for analysing its behaviour for optimal design, control and performance (Barricelli et al., 2019; Singh et al., 2022; Wright & Davidson, 2020).…”

Section: Methods: Finding the Appropriate Perspective And Level Of An...mentioning

confidence: 99%

Premises for a digital twin of the Atlantic salmon in its world: Agency, robustness, subjectivity and prediction

Budaev,

Dumitru,

Enberg

et al. 2024

Aquaculture Fish & Fisheries

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Aquaculture of Atlantic salmon Salmo salar is in transition to precision fish farming and digitalization. As it is easier, cheaper and safer to study a digital replica than the system itself, a model of the fish can potentially improve monitoring and prediction of facilities and operations and replace live fish in many what‐if experiments. Regulators, consumers and voters also want insight into how it is like to be a salmon in aquaculture. However, such information is credible only if natural physiology and behaviour of the living fish is adequately represented. To be able to predict salmon behaviour in unfamiliar, confusing and stressful situations, the modeller must aim for a sufficiently realistic behavioural model based on the animal's proximate robustness mechanisms. We review the knowledge status and algorithms for how evolution has formed fish to control decisions and set priorities for behaviour and ontogeny. Teleost body control is through genes, hormones, nerves, muscles, sensing, cognition and behaviour, the latter being agentic, predictive and subjective, also in a man‐made environment. These are the challenges when constructing the digital salmon. This perspective is also useful for modelling other domesticated and wild animals in Anthropocene environments.

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“…Connecting live streams leads to the development of the ‘Internet of animals’, which is currently mostly employed for vertebrates [ 90 ]. Such real-time monitoring also contributes to the development of digital twins of landscapes, which comprise statistical and mechanistic models that are continuously calibrated with real-world data [ 114 ]. Digital twins are attracting attention across the environmental sciences for their potential in improving our understanding of ecosystems and also in supporting decision-making about contrasting policy and management options.…”

Section: Technology As a Transformer—rethinking Science And Collabora...mentioning

confidence: 99%

Emerging technologies in citizen science and potential for insect monitoring

Sheard,

Adriaens,

Bowler

et al. 2024

Phil. Trans. R. Soc. B

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Emerging technologies are increasingly employed in environmental citizen science projects. This integration offers benefits and opportunities for scientists and participants alike. Citizen science can support large-scale, long-term monitoring of species occurrences, behaviour and interactions. At the same time, technologies can foster participant engagement, regardless of pre-existing taxonomic expertise or experience, and permit new types of data to be collected. Yet, technologies may also create challenges by potentially increasing financial costs, necessitating technological expertise or demanding training of participants. Technology could also reduce people's direct involvement and engagement with nature. In this perspective, we discuss how current technologies have spurred an increase in citizen science projects and how the implementation of emerging technologies in citizen science may enhance scientific impact and public engagement. We show how technology can act as (i) a facilitator of current citizen science and monitoring efforts, (ii) an enabler of new research opportunities, and (iii) a transformer of science, policy and public participation, but could also become (iv) an inhibitor of participation, equity and scientific rigour. Technology is developing fast and promises to provide many exciting opportunities for citizen science and insect monitoring, but while we seize these opportunities, we must remain vigilant against potential risks. This article is part of the theme issue ‘Towards a toolkit for global insect biodiversity monitoring’.

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Digital twins: dynamic model-data fusion for ecology

Cited by 25 publications

References 56 publications

Biodiversity and Climate Extremes: Known Interactions and Research Gaps

Biodiversity and Climate Extremes: Known Interactions and Research Gaps

Premises for a digital twin of the Atlantic salmon in its world: Agency, robustness, subjectivity and prediction

Emerging technologies in citizen science and potential for insect monitoring

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