Nature 4.0: A networked sensor system for integrated biodiversity monitoring

Author:

Zeuss Dirk1ORCID,Bald Lisa1ORCID,Gottwald Jannis1,Becker Marcel2ORCID,Bellafkir Hicham3ORCID,Bendix Jörg4ORCID,Bengel Phillip5ORCID,Beumer Larissa T.6ORCID,Brandl Roland7,Brändle Martin7ORCID,Dahlke Stephan8ORCID,Farwig Nina2ORCID,Freisleben Bernd3ORCID,Friess Nicolas1,Heidrich Lea1ORCID,Heuer Sven8,Höchst Jonas3ORCID,Holzmann Hajo9,Lampe Patrick3,Leberecht Martin10ORCID,Lindner Kim2,Masello Juan F.11ORCID,Mielke Möglich Jonas7,Mühling Markus3ORCID,Müller Thomas612ORCID,Noskov Alexey4ORCID,Opgenoorth Lars10,Peter Carina5ORCID,Quillfeldt Petra11ORCID,Rösner Sascha2ORCID,Royauté Raphaël613ORCID,Mestre‐Runge Christian110ORCID,Schabo Dana2ORCID,Schneider Daniel3ORCID,Seeger Bernhard14,Shayle Elliot1,Steinmetz Ralf15ORCID,Tafo Pavel9,Vogelbacher Markus3ORCID,Wöllauer Stephan1ORCID,Younis Sohaib14,Zobel Julian15ORCID,Nauss Thomas1

Affiliation:

1. Department of Geography, Environmental Informatics Philipps‐Universität Marburg Marburg Germany

2. Department of Biology, Conservation Ecology Philipps‐Universität Marburg Marburg Germany

3. Department of Mathematics and Computer Science, Distributed Systems and Intelligent Computing Philipps‐Universität Marburg Marburg Germany

4. Department of Geography, Climatology and Environmental Modelling Philipps‐Universität Marburg Marburg Germany

5. Department of Geography, Didactics and Education Philipps‐Universität Marburg Marburg Germany

6. Senckenberg Biodiversity and Climate Research Centre (SBiK‐F) Frankfurt am Main Germany

7. Department of Biology, Animal Ecology Philipps‐Universität Marburg Marburg Germany

8. Department of Mathematics and Computer Science, Numerics Philipps‐Universität Marburg Marburg Germany

9. Department of Mathematics and Computer Science, Stochastics Philipps‐Universität Marburg Marburg Germany

10. Department of Biology, Plant Ecology and Geobotany Philipps‐Universität Marburg Marburg Germany

11. Department of Animal Ecology & Systematics Justus Liebig University Gießen Gießen Germany

12. Department of Biological Sciences Goethe University Frankfurt am Main Frankfurt am Main Germany

13. Université Paris‐Saclay, INRAE, AgroParisTech UMR EcoSys Palaiseau France

14. Department of Mathematics and Computer Science, Database Systems Philipps‐Universität Marburg Marburg Germany

15. Department of Electrical Engineering and Information Technology, Multimedia Communications Lab (KOM) Technical University of Darmstadt Darmstadt Germany

Abstract

AbstractEcosystem 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.

Publisher

Wiley

Subject

General Environmental Science,Ecology,Environmental Chemistry,Global and Planetary Change

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