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

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

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Environmental management using a digital twin

Jennifer M. Durden
11 citations
Environmental Science & Policy
Big Data and Business Intelligence
25.12
article

Environmental management using a digital twin

Jennifer M. Durden
article en
11 citations

Abstract

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

Environmental Science & PolicyVol. 164
Sight Research UK, Natural Environment Research Council
Climate action
Openalex Percentile: Top 1%
Big Data and Business Intelligence
25.12
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.