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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
Artikel, Zweitveröffentlichung, Verlagsversion

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Kurzbeschreibung (Abstract)

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.

Typ des Eintrags: Artikel
Erschienen: 2024
Autor(en): 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
Art des Eintrags: Zweitveröffentlichung
Titel: Nature 4.0: A networked sensor system for integrated biodiversity monitoring
Sprache: Englisch
Publikationsjahr: 28 Mai 2024
Ort: Darmstadt
Publikationsdatum der Erstveröffentlichung: Januar 2024
Ort der Erstveröffentlichung: Oxford
Verlag: Wiley-Blackwell
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Global Change Biology
Jahrgang/Volume einer Zeitschrift: 30
(Heft-)Nummer: 1
Kollation: 28 Seiten
DOI: 10.26083/tuprints-00027202
URL / URN: https://tuprints.ulb.tu-darmstadt.de/27202
Zugehörige Links:
Herkunft: Zweitveröffentlichung DeepGreen
Kurzbeschreibung (Abstract):

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.

Freie Schlagworte: animal tracking, audio recording, camera trap, integrated database system, nature conservation, radar, remote sensing, telemetry
ID-Nummer: Artikel-ID: e17056
Status: Verlagsversion
URN: urn:nbn:de:tuda-tuprints-272028
Sachgruppe der Dewey Dezimalklassifikatin (DDC): 000 Allgemeines, Informatik, Informationswissenschaft > 004 Informatik
500 Naturwissenschaften und Mathematik > 510 Mathematik
500 Naturwissenschaften und Mathematik > 550 Geowissenschaften
500 Naturwissenschaften und Mathematik > 570 Biowissenschaften, Biologie
Fachbereich(e)/-gebiet(e): 18 Fachbereich Elektrotechnik und Informationstechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Datentechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Datentechnik > Multimedia Kommunikation
Hinterlegungsdatum: 28 Mai 2024 12:01
Letzte Änderung: 03 Jun 2024 12:03
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