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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.
Afiliação
  • Zeuss D; Department of Geography, Environmental Informatics, Philipps-Universität Marburg, Marburg, Germany.
  • Bald L; Department of Geography, Environmental Informatics, Philipps-Universität Marburg, Marburg, Germany.
  • Gottwald J; Department of Geography, Environmental Informatics, Philipps-Universität Marburg, Marburg, Germany.
  • Becker M; Department of Biology, Conservation Ecology, Philipps-Universität Marburg, Marburg, Germany.
  • Bellafkir H; Department of Mathematics and Computer Science, Distributed Systems and Intelligent Computing, Philipps-Universität Marburg, Marburg, Germany.
  • Bendix J; Department of Geography, Climatology and Environmental Modelling, Philipps-Universität Marburg, Marburg, Germany.
  • Bengel P; Department of Geography, Didactics and Education, Philipps-Universität Marburg, Marburg, Germany.
  • Beumer LT; Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Frankfurt am Main, Germany.
  • Brandl R; Department of Biology, Animal Ecology, Philipps-Universität Marburg, Marburg, Germany.
  • Brändle M; Department of Biology, Animal Ecology, Philipps-Universität Marburg, Marburg, Germany.
  • Dahlke S; Department of Mathematics and Computer Science, Numerics, Philipps-Universität Marburg, Marburg, Germany.
  • Farwig N; Department of Biology, Conservation Ecology, Philipps-Universität Marburg, Marburg, Germany.
  • Freisleben B; Department of Mathematics and Computer Science, Distributed Systems and Intelligent Computing, Philipps-Universität Marburg, Marburg, Germany.
  • Friess N; Department of Geography, Environmental Informatics, Philipps-Universität Marburg, Marburg, Germany.
  • Heidrich L; Department of Geography, Environmental Informatics, Philipps-Universität Marburg, Marburg, Germany.
  • Heuer S; Department of Mathematics and Computer Science, Numerics, Philipps-Universität Marburg, Marburg, Germany.
  • Höchst J; Department of Mathematics and Computer Science, Distributed Systems and Intelligent Computing, Philipps-Universität Marburg, Marburg, Germany.
  • Holzmann H; Department of Mathematics and Computer Science, Stochastics, Philipps-Universität Marburg, Marburg, Germany.
  • Lampe P; Department of Mathematics and Computer Science, Distributed Systems and Intelligent Computing, Philipps-Universität Marburg, Marburg, Germany.
  • Leberecht M; Department of Biology, Plant Ecology and Geobotany, Philipps-Universität Marburg, Marburg, Germany.
  • Lindner K; Department of Biology, Conservation Ecology, Philipps-Universität Marburg, Marburg, Germany.
  • Masello JF; Department of Animal Ecology & Systematics, Justus Liebig University Gießen, Gießen, Germany.
  • Mielke Möglich J; Department of Biology, Animal Ecology, Philipps-Universität Marburg, Marburg, Germany.
  • Mühling M; Department of Mathematics and Computer Science, Distributed Systems and Intelligent Computing, Philipps-Universität Marburg, Marburg, Germany.
  • Müller T; Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Frankfurt am Main, Germany.
  • Noskov A; Department of Biological Sciences, Goethe University Frankfurt am Main, Frankfurt am Main, Germany.
  • Opgenoorth L; Department of Geography, Climatology and Environmental Modelling, Philipps-Universität Marburg, Marburg, Germany.
  • Peter C; Department of Biology, Plant Ecology and Geobotany, Philipps-Universität Marburg, Marburg, Germany.
  • Quillfeldt P; Department of Geography, Didactics and Education, Philipps-Universität Marburg, Marburg, Germany.
  • Rösner S; Department of Animal Ecology & Systematics, Justus Liebig University Gießen, Gießen, Germany.
  • Royauté R; Department of Biology, Conservation Ecology, Philipps-Universität Marburg, Marburg, Germany.
  • Mestre-Runge C; Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Frankfurt am Main, Germany.
  • Schabo D; Université Paris-Saclay, INRAE, AgroParisTech, UMR EcoSys, Palaiseau, France.
  • Schneider D; Department of Geography, Environmental Informatics, Philipps-Universität Marburg, Marburg, Germany.
  • Seeger B; Department of Biology, Plant Ecology and Geobotany, Philipps-Universität Marburg, Marburg, Germany.
  • Shayle E; Department of Biology, Conservation Ecology, Philipps-Universität Marburg, Marburg, Germany.
  • Steinmetz R; Department of Mathematics and Computer Science, Distributed Systems and Intelligent Computing, Philipps-Universität Marburg, Marburg, Germany.
  • Tafo P; Department of Mathematics and Computer Science, Database Systems, Philipps-Universität Marburg, Marburg, Germany.
  • Vogelbacher M; Department of Geography, Environmental Informatics, Philipps-Universität Marburg, Marburg, Germany.
  • Wöllauer S; Department of Electrical Engineering and Information Technology, Multimedia Communications Lab (KOM), Technical University of Darmstadt, Darmstadt, Germany.
  • Younis S; Department of Mathematics and Computer Science, Stochastics, Philipps-Universität Marburg, Marburg, Germany.
  • Zobel J; Department of Mathematics and Computer Science, Distributed Systems and Intelligent Computing, Philipps-Universität Marburg, Marburg, Germany.
  • Nauss T; Department of Geography, Environmental Informatics, Philipps-Universität Marburg, Marburg, Germany.
Glob Chang Biol ; 30(1): e17056, 2024 Jan.
Article em En | MEDLINE | ID: mdl-38273542
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Animals Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Animals Idioma: En Ano de publicação: 2024 Tipo de documento: Article