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Related Experiment Video

Updated: Jun 17, 2025

At-Risk Butterfly Captive Propagation Programs to Enhance Life History Knowledge and Effective Ex Situ Conservation Techniques

At-Risk Butterfly Captive Propagation Programs to Enhance Life History Knowledge and Effective Ex Situ Conservation Techniques

Published on: February 11, 2020

An audacious approach to conservation.

Robert M Ewers¹

¹Georgina Mace Centre, Imperial College London, Silwood Park Campus, Buckhurst Road, Ascot SL5 7PY, UK.

Trends in Ecology & Evolution

|August 9, 2024

Summary

This summary is machine-generated.

Developing smart conservation requires concentrating environmental research at super-sites. This approach will create digital twin ecosystems for real-time, adaptive management and efficient conservation goal achievement.

Keywords:

automated environmental monitoring conservation ecology conservation technology decision-making digital twin ecosystem modelling research effort

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Last Updated: Jun 17, 2025

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Published on: February 11, 2020

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Area of Science:

Environmental science
Conservation technology
Ecological modeling

Background:

Digital and sensor technologies offer significant potential for conservation advancements.
Current conservation strategies lack a clear plan for effective technology deployment.

Purpose of the Study:

To propose a framework for integrating advanced technologies into conservation practices.
To outline a strategy for developing and utilizing digital twin ecosystems for environmental management.

Main Methods:

Concentrating environmental research at dedicated 'super-sites'.
Developing holistic ecosystem models from concentrated knowledge.
Creating digital twin ecosystems via live connection with automated monitoring.

Main Results:

Data-driven simulations can identify optimal conservation pathways.
Digital twins enable real-time adaptation of conservation decisions.
Proposed 'smart conservation' approach enhances management flexibility and efficiency.

Conclusions:

A strategic, technology-driven approach is crucial for effective conservation.
Super-sites and digital twins offer a roadmap for responsive environmental management.
Future conservation can be more efficient and adaptive through smart technologies.