Connectivity conservation planning through deep reinforcement learning

Connectivity conservation planning through deep reinforcement learning

Abstract The United Nations has declared 2021–2030 the decade on ecosystem restoration with the aim of preventing, stopping and reversing the degradation of the ecosystems of the world, often caused by the fragmentation of natural landscapes. Human activities separate and surround habitats, making t...

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Bibliographic Details
Main Authors: Julián Equihua, Michael Beckmann, Ralf Seppelt
Format: Article
Language:English
Published: Wiley 2024-04-01
Series:Methods in Ecology and Evolution
Subjects:
connectivity conservation planning
deep reinforcement learning
ecological restoration
machine learning
spatial optimisation
systematic conservation planning
Online Access:https://doi.org/10.1111/2041-210X.14300

Internet

https://doi.org/10.1111/2041-210X.14300

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