The utility of combining deep learning with metabarcoding to model biodiversity dynamics at a national scale

The utility of combining deep learning with metabarcoding to model biodiversity dynamics at a national scale

To make informed decisions on how to effectively protect biodiversity, we need knowledge of its spatial and temporal dynamics. By combining detailed biodiversity surveys, geospatial data, and machine learning, we can model biodiversity with the aim of gaining insights into how these complex patterns...

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Bibliographic Details
Main Authors: Adrian Baggström, Robert Goodsell, Laura van Dijk, Ela Iwaszkiewicz-Eggebrecht, Andreia Miraldo, Ayco J.M. Tack, Tobias Andermann
Format: Article
Language:English
Published: Elsevier 2025-12-01
Series:Ecological Informatics
Subjects:
Biodiversity monitoring
Bulk sampling
Remote sensing
Arthropods
Machine learning
Random forest
Online Access:http://www.sciencedirect.com/science/article/pii/S1574954125003279
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http://www.sciencedirect.com/science/article/pii/S1574954125003279

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