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Nature 4.0: A networked sensor system for integrated biodiversity monitoring

Zeuss, Dirk ; Bald, Lisa ; Gottwald, Jannis ; Becker, Marcel ; Bellafkir, Hicham ; Bendix, Jörg ; Bengel, Phillip ; Beumer, Larissa T. ; Brandl, Roland ; Brändle, Martin ; Dahlke, Stephan ; Farwig, Nina ; Freisleben, Bernd ; Friess, Nicolas ; Heidrich, Lea ; Heuer, Sven ; Höchst, Jonas ; Holzmann, Hajo ; Lampe, Patrick ; Leberecht, Martin ; Lindner, Kim ; Masello, Juan F. ; Mielke Möglich, Jonas ; Mühling, Markus ; Müller, Thomas ; Noskov, Alexey ; Opgenoorth, Lars ; Peter, Carina ; Quillfeldt, Petra ; Rösner, Sascha ; Royauté, Raphaël ; Mestre‐Runge, Christian ; Schabo, Dana ; Schneider, Daniel ; Seeger, Bernhard ; Shayle, Elliot ; Steinmetz, Ralf ; Tafo, Pavel ; Vogelbacher, Markus ; Wöllauer, Stephan ; Younis, Sohaib ; Zobel, Julian ; Nauss, Thomas (2024)
Nature 4.0: A networked sensor system for integrated biodiversity monitoring.
In: Global Change Biology, 2024, 30 (1)
doi: 10.26083/tuprints-00027202
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: Nature 4.0: A networked sensor system for integrated biodiversity monitoring
Language: English
Date: 28 May 2024
Place of Publication: Darmstadt
Year of primary publication: January 2024
Place of primary publication: Oxford
Publisher: Wiley-Blackwell
Journal or Publication Title: Global Change Biology
Volume of the journal: 30
Issue Number: 1
Collation: 28 Seiten
DOI: 10.26083/tuprints-00027202
Corresponding Links:
Origin: Secondary publication DeepGreen

Ecosystem functions and services are severely threatened by unprecedented global loss in biodiversity. To counteract these trends, it is essential to develop systems to monitor changes in biodiversity for planning, evaluating, and implementing conservation and mitigation actions. However, the implementation of monitoring systems suffers from a trade‐off between grain (i.e., the level of detail), extent (i.e., the number of study sites), and temporal repetition. Here, we present an applied and realized networked sensor system for integrated biodiversity monitoring in the Nature 4.0 project as a solution to these challenges, which considers plants and animals not only as targets of investigation, but also as parts of the modular sensor network by carrying sensors. Our networked sensor system consists of three main closely interlinked components with a modular structure: sensors, data transmission, and data storage, which are integrated into pipelines for automated biodiversity monitoring. We present our own real‐world examples of applications, share our experiences in operating them, and provide our collected open data. Our flexible, low‐cost, and open‐source solutions can be applied for monitoring individual and multiple terrestrial plants and animals as well as their interactions. Ultimately, our system can also be applied to area‐wide ecosystem mapping tasks, thereby providing an exemplary cost‐efficient and powerful solution for biodiversity monitoring. Building upon our experiences in the Nature 4.0 project, we identified ten key challenges that need to be addressed to better understand and counteract the ongoing loss of biodiversity using networked sensor systems. To tackle these challenges, interdisciplinary collaboration, additional research, and practical solutions are necessary to enhance the capability and applicability of networked sensor systems for researchers and practitioners, ultimately further helping to ensure the sustainable management of ecosystems and the provision of ecosystem services.

Uncontrolled Keywords: animal tracking, audio recording, camera trap, integrated database system, nature conservation, radar, remote sensing, telemetry
Identification Number: Artikel-ID: e17056
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-272028
Classification DDC: 000 Generalities, computers, information > 004 Computer science
500 Science and mathematics > 510 Mathematics
500 Science and mathematics > 550 Earth sciences and geology
500 Science and mathematics > 570 Life sciences, biology
Divisions: 18 Department of Electrical Engineering and Information Technology > Institute of Computer Engineering > Multimedia Communications
Date Deposited: 28 May 2024 12:01
Last Modified: 05 Jun 2024 09:49
SWORD Depositor: Deep Green
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/27202
PPN: 518711285
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