Natural systems are interconnected ecosystems and processes occurring in the natural environment, encompassing land-based systems like forests and grasslands, aquatic systems like rivers and wetlands, and atmospheric or geological processes such as the water cycle, carbon cycle, and erosion. These systems include both biotic (living organisms) and abiotic (non-living components) elements that interact dynamically to sustain life on Earth. They operate independently of human control but are increasingly influenced by human activities such as urbanization, deforestation, and climate change[1][6][19].

Key concepts

Natural systems are vital for maintaining ecological balance and supporting life on Earth. Digital twins offer a powerful tool for integrating these systems with physical asset management by enabling real-time monitoring, predictive modeling, resource optimization, disaster mitigation, biodiversity conservation, and sustainable planning. By bridging the gap between natural processes and human development, digital twins ensure that physical assets coexist harmoniously with their surrounding environment while promoting resilience and sustainability.

Digital twins can play a transformative role in managing natural systems by creating virtual replicas of these ecosystems and processes. These digital models integrate real-world data, simulations, and predictive analytics to optimize the interaction between physical assets and their surrounding natural environment.

Mechanisms

Monitoring Ecosystem Health

Digital twins enable real-time monitoring of natural systems such as forests, rivers, or wetlands through IoT sensors and satellite data. For example:

A digital twin of a river basin can track water quality, sediment flow, and biodiversity levels.

Forest ecosystems can be monitored for deforestation or changes in carbon sequestration capacity[2][3][4].

This helps stakeholders identify environmental degradation early and implement corrective measures.

Climate Adaptation and Disaster Mitigation

Digital twins simulate the impact of extreme weather events like floods, wildfires, or droughts on natural systems and nearby physical assets. For instance:

Coastal digital twins can model rising sea levels and storm surges to assess risks to infrastructure.

Simulations can predict how deforestation might exacerbate flooding downstream[3][5][7].

These insights guide the design of resilient infrastructure and disaster response strategies.

Supporting Nature-Based Solutions (NbS)

Digital twins help optimize the placement and design of nature-based solutions such as wetlands for flood mitigation or green roofs for temperature regulation. For example:

A digital twin can simulate how restoring a wetland would reduce flood risks while supporting biodiversity.

It can also evaluate the carbon sequestration potential of reforestation projects[3][19].

This ensures that interventions maximize ecological benefits while protecting physical assets.

Resource Optimization

By modeling natural cycles like water or nutrient flows, digital twins help manage resources more sustainably:

Urban planners can use digital twins to optimize groundwater recharge or reduce water wastage.

Agricultural applications may include tracking soil health or predicting crop yields based on weather patterns[9][16].

This integration reduces resource consumption while maintaining ecosystem balance.

Lifecycle Management of Assets

Digital twins incorporate natural system dynamics into the lifecycle management of physical assets:

For example, a bridge near a river might use a digital twin to monitor erosion rates or sediment deposition over time.

Renewable energy projects like wind farms can use digital twins to assess their impact on local wildlife[4][18].

This ensures that infrastructure remains functional without adversely affecting the environment.

Enhancing Biodiversity Conservation

Digital twins enable detailed modeling of habitats to support conservation efforts:

They can identify critical areas for species protection or restoration based on environmental data.

Simulations allow researchers to predict how changes in land use will affect biodiversity[3][19].

This promotes coexistence between human development and natural ecosystems.

Informing Policy and Decision-Making

By simulating "what-if" scenarios, digital twins provide evidence-based insights for policymakers:

For instance, they can model the long-term effects of urban expansion on surrounding ecosystems.

They also help evaluate the effectiveness of environmental regulations or conservation policies[2][5].

This supports sustainable development goals by balancing economic growth with ecological preservation.

References

[1] https://www.environment.vic.gov.au/natural-environment-adaptation-action-plan/the-natural-environment-system

[2] https://www.nature.com/articles/s43247-024-01626-x

[3] https://digital.aecom.com/article/saving-natural-assets-through-digital-twins/

[4] https://www.pbctoday.co.uk/news/digital-construction-news/using-digital-twin-technology-understand-environmental-impact/122394/

[5] https://blog.govnet.co.uk/technology/harnessing-digital-twins-a-climate-change-solution

[6] https://geo.libretexts.org/Bookshelves/Geography_(Physical)/The_Physical_Environment_(Ritter)/02:_The_Earth_System/2.03:_Natural_Systems

[7] https://www.ukri.org/news/digital-twin-projects-to-transform-environmental-science/

[8] https://www.cdbb.cam.ac.uk/files/gemini_papers_-_what_are_connected_digital_twins.pdf

[9] https://watersensitivecities.org.au/natural-systems/

[10] https://www.cdbb.cam.ac.uk/files/gemini_how.pdf

[11] https://www.buildingsmart.org/wp-content/uploads/2024/10/Digital-Twins-and-the-Systems-Perspective_Whitepaper_bSI_2024_Final2.pdf

[12] https://www.oxfordreference.com/display/10.1093/oi/authority.20110803095753736

[13] https://www.researchgate.net/publication/329212098_The_Concept_of_the_Natural_System_and_Its_Importance_for_the_Development_of_Integrated_Research_on_the_Natural_Environment

[14] https://sebokwiki.org/wiki/Natural_System_(glossary)

[15] https://geovation.uk/insights/the-rise-of-digital-twins/

[16] https://www.turito.com/learn/biology/natural-systems-and-construction-of-designed-systems-grade-8

[17] https://www.turing.ac.uk/sites/default/files/2023-05/turing_asg_whitepaper_digitaltwins.pdf

[18] https://www.ghd.com/en-pg/insights/harnessing-digital-twins-to-transform-the-connected-built-environment

[19] https://www.rewildingbritain.org.uk/why-rewild/what-is-rewilding/an-introduction-to-rewilding/introducing-natural-processes

[20] https://www.theiet.org/media/8762/digital-twins-for-the-built-environment.pdf