Environmental management using a digital twin
Robust environmental management is based on evidence of ecosystem health and anthropogenic harms gleaned from successful environmental monitoring. Successful monitoring involves the synthesis of observations from a variety of sources to represent a site in its current and past states, the anticipation of future conditions, and communicate the findings to decision-makers for environmental management and other stakeholders; a lack of such synthesis and communication has been identified as a shortcoming in Environmental Impact Assessment. However, a suitable digital platform for this synthesis and communication has not yet been developed. Digital twins, an approach from engineering, may offer a solution with advantages over other approaches traditionally employed in ecosystem monitoring. Here a process and considerations for conducting the use case analysis of a digital twin for environmental monitoring is presented, including identifying users, establishing their requirements, refining use cases based on data practicalities, planning analyses and data/model integrations, and developing the user interface. The process is demonstrated using a case study, developing use cases for an ecological digital twin of a UK Marine Protected Area, which could be generalised as use cases for a digital twin for ecosystem monitoring of a conservation area. Considerations for constructing a digital twin based on these use cases are discussed, including the practicalities of using remotely-sensed biological data; gaps in the scientific, technological and data management capabilities; the role of expertise in adding value beyond simple data collation data; and federation of digital twins. Finally, challenges and benefits to using a digital twin approach to informing conservation management are summarised. • A ’digital twin’ approach would aid environmental management and impact assessment • Useful as a tool for data synthesis, scenario testing, stakeholder communication • A process is given for conducting a use case analysis (scoping) for such a digital twin • Example use cases are shown for a pilot digital twin of a conservation area • Standard frameworks for applications of digital twins would facilitate uptake
Authors
- Jennifer M. Durden (ORCID: https://orcid.org/0000-0002-6529-9109)
Publication Details
- Journal
- Environmental Science & Policy
- Published
- 2025-02-01
- DOI
- https://doi.org/10.1016/j.envsci.2025.104018
- Citations
- 11
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 25.12
Funders
- Sight Research UK
- Natural Environment Research Council