Towards a multisensor station for automated biodiversity monitoring
Rapid changes of the biosphere observed in recent years are caused by both small and large scale drivers, like shifts in temperature, transformations in land-use, or changes in the energy budget of systems. While the latter processes are easily quantifiable, documentation of the loss of biodiversity...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-03-01
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| Series: | Basic and Applied Ecology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1439179122000032 |
| _version_ | 1797755062909403136 |
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| author | J.Wolfgang Wägele Paul Bodesheim Sarah J. Bourlat Joachim Denzler Michael Diepenbroek Vera Fonseca Karl-Heinz Frommolt Matthias F. Geiger Birgit Gemeinholzer Frank Oliver Glöckner Timm Haucke Ameli Kirse Alexander Kölpin Ivaylo Kostadinov Hjalmar S. Kühl Frank Kurth Mario Lasseck Sascha Liedke Florian Losch Sandra Müller Natalia Petrovskaya Krzysztof Piotrowski Bernd Radig Christoph Scherber Lukas Schoppmann Jan Schulz Volker Steinhage Georg F. Tschan Wolfgang Vautz Domenico Velotto Maximilian Weigend Stefan Wildermann |
| author_facet | J.Wolfgang Wägele Paul Bodesheim Sarah J. Bourlat Joachim Denzler Michael Diepenbroek Vera Fonseca Karl-Heinz Frommolt Matthias F. Geiger Birgit Gemeinholzer Frank Oliver Glöckner Timm Haucke Ameli Kirse Alexander Kölpin Ivaylo Kostadinov Hjalmar S. Kühl Frank Kurth Mario Lasseck Sascha Liedke Florian Losch Sandra Müller Natalia Petrovskaya Krzysztof Piotrowski Bernd Radig Christoph Scherber Lukas Schoppmann Jan Schulz Volker Steinhage Georg F. Tschan Wolfgang Vautz Domenico Velotto Maximilian Weigend Stefan Wildermann |
| author_sort | J.Wolfgang Wägele |
| collection | DOAJ |
| description | Rapid changes of the biosphere observed in recent years are caused by both small and large scale drivers, like shifts in temperature, transformations in land-use, or changes in the energy budget of systems. While the latter processes are easily quantifiable, documentation of the loss of biodiversity and community structure is more difficult. Changes in organismal abundance and diversity are barely documented. Censuses of species are usually fragmentary and inferred by often spatially, temporally and ecologically unsatisfactory simple species lists for individual study sites. Thus, detrimental global processes and their drivers often remain unrevealed. A major impediment to monitoring species diversity is the lack of human taxonomic expertise that is implicitly required for large-scale and fine-grained assessments. Another is the large amount of personnel and associated costs needed to cover large scales, or the inaccessibility of remote but nonetheless affected areas.To overcome these limitations we propose a network of Automated Multisensor stations for Monitoring of species Diversity (AMMODs) to pave the way for a new generation of biodiversity assessment centers. This network combines cutting-edge technologies with biodiversity informatics and expert systems that conserve expert knowledge. Each AMMOD station combines autonomous samplers for insects, pollen and spores, audio recorders for vocalizing animals, sensors for volatile organic compounds emitted by plants (pVOCs) and camera traps for mammals and small invertebrates. AMMODs are largely self-containing and have the ability to pre-process data (e.g. for noise filtering) prior to transmission to receiver stations for storage, integration and analyses. Installation on sites that are difficult to access require a sophisticated and challenging system design with optimum balance between power requirements, bandwidth for data transmission, required service, and operation under all environmental conditions for years. An important prerequisite for automated species identification are databases of DNA barcodes, animal sounds, for pVOCs, and images used as training data for automated species identification. AMMOD stations thus become a key component to advance the field of biodiversity monitoring for research and policy by delivering biodiversity data at an unprecedented spatial and temporal resolution. |
| first_indexed | 2024-03-12T17:42:25Z |
| format | Article |
| id | doaj.art-2acfcddf63e949d3a2e3ed044790f40c |
| institution | Directory Open Access Journal |
| issn | 1439-1791 |
| language | English |
| last_indexed | 2024-03-12T17:42:25Z |
| publishDate | 2022-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Basic and Applied Ecology |
| spelling | doaj.art-2acfcddf63e949d3a2e3ed044790f40c2023-08-04T05:46:23ZengElsevierBasic and Applied Ecology1439-17912022-03-0159105138Towards a multisensor station for automated biodiversity monitoringJ.Wolfgang Wägele0Paul Bodesheim1Sarah J. Bourlat2Joachim Denzler3Michael Diepenbroek4Vera Fonseca5Karl-Heinz Frommolt6Matthias F. Geiger7Birgit Gemeinholzer8Frank Oliver Glöckner9Timm Haucke10Ameli Kirse11Alexander Kölpin12Ivaylo Kostadinov13Hjalmar S. Kühl14Frank Kurth15Mario Lasseck16Sascha Liedke17Florian Losch18Sandra Müller19Natalia Petrovskaya20Krzysztof Piotrowski21Bernd Radig22Christoph Scherber23Lukas Schoppmann24Jan Schulz25Volker Steinhage26Georg F. Tschan27Wolfgang Vautz28Domenico Velotto29Maximilian Weigend30Stefan Wildermann31Leibniz-Institut zur Analyse des Biodiversitätswandels, Adenauerallee 160, 53113 Bonn, Germany; Corresponding author.Computer Vision Group, Faculty of Mathematics and Computer Science, Friedrich Schiller University, Ernst-Abbe Platz 2, 07743 Jena, GermanyLeibniz-Institut zur Analyse des Biodiversitätswandels, Adenauerallee 160, 53113 Bonn, GermanyComputer Vision Group, Faculty of Mathematics and Computer Science, Friedrich Schiller University, Ernst-Abbe Platz 2, 07743 Jena, GermanyMARUM – Center for Marine Environmental Sciences, University of Bremen, 28359 Bremen, GermanyLeibniz-Institut zur Analyse des Biodiversitätswandels, Adenauerallee 160, 53113 Bonn, Germany; Centre for Environment, Fisheries and Aquaculture Science (Cefas), Barrack Road, The Nothe, Weymouth, Dorset, DT4 8UB, United Kingdom of Great Britain and Northern Ireland United KingdomMuseum für Naturkunde – Leibniz Institute for Evolution and Biodiversity Science, Invalidenstraße 43, 10115 Berlin, GermanyLeibniz-Institut zur Analyse des Biodiversitätswandels, Adenauerallee 160, 53113 Bonn, GermanyUniversität Kassel, AG Botanik, Heinrich-Plett-Str. 40; 34132 Kassel, GermanyAlfred Wegener Institute, Am Handelshafen 12, 27570 Bremerhaven, GermanyIntelligent Vision Systems Group, Department of Computer Science, Bonn University, Endenicher Allee 19A, 53115 Bonn, GermanyLeibniz-Institut zur Analyse des Biodiversitätswandels, Adenauerallee 160, 53113 Bonn, GermanyTechnische Universität Hamburg, Institut für Hochfrequenztechnik, Denickestraße 22, 21073 Hamburg, GermanyMax-Planck Institute for Marine Microbiology, Celsiusstr. 1, 28359 Bremen, GermanyGerman Center for Integrative Biodiversity Research (iDiv) GermanyFraunhofer-Institut für Komunikation, Informationsverarbeitung und Ergonomie (FKIE), Fraunhoferstr. 20, 53343 Wachtberg, GermanyMuseum für Naturkunde – Leibniz Institute for Evolution and Biodiversity Science, Invalidenstraße 43, 10115 Berlin, GermanyION-GAS GmbH, Konrad-Adenauer-Allee 11, 44263, Dortmund, GermanyNees-Institut für Biodiversität der Pflanzen, Universität Bonn, Meckenheimer Allee 171, 53115 Bonn, GermanyUniversity of Freiburg, Faculty of Biology, Geobotany, Schaenzlestr. 1, D-79104 Freiburg, GermanySchool of Mathematics, Watson Building, University of Birmingham, Birmingham B15 2TT, United KingdomIHP – Leibniz Institute for High Performance Microelectronics, Im Technologiepark 25, 15236 Frankfurt (Oder), GermanyDepartment of Computer Science, Boltzmannstrasse 3, 85748 Garching, GermanyLeibniz-Institut zur Analyse des Biodiversitätswandels, Adenauerallee 160, 53113 Bonn, GermanyTechnische Universität Hamburg, Institut für Hochfrequenztechnik, Denickestraße 22, 21073 Hamburg, GermanyInstitut für Chemie und Biologie des Meeres Universität Oldenburg, Postfach 2503, 26111 Oldenburg, GermanyIntelligent Vision Systems Group, Department of Computer Science, Bonn University, Endenicher Allee 19A, 53115 Bonn, GermanyLeibniz-Institut zur Analyse des Biodiversitätswandels, Adenauerallee 160, 53113 Bonn, GermanyION-GAS GmbH, Konrad-Adenauer-Allee 11, 44263, Dortmund, GermanyMARUM – Center for Marine Environmental Sciences, University of Bremen, 28359 Bremen, GermanyNees-Institut für Biodiversität der Pflanzen, Universität Bonn, Meckenheimer Allee 171, 53115 Bonn, GermanyInformatik 12, Friedrich-Alexander-Universität Erlangen-Nürnberg, Cauerstr. 11, 91058 Erlangen, GermanyRapid changes of the biosphere observed in recent years are caused by both small and large scale drivers, like shifts in temperature, transformations in land-use, or changes in the energy budget of systems. While the latter processes are easily quantifiable, documentation of the loss of biodiversity and community structure is more difficult. Changes in organismal abundance and diversity are barely documented. Censuses of species are usually fragmentary and inferred by often spatially, temporally and ecologically unsatisfactory simple species lists for individual study sites. Thus, detrimental global processes and their drivers often remain unrevealed. A major impediment to monitoring species diversity is the lack of human taxonomic expertise that is implicitly required for large-scale and fine-grained assessments. Another is the large amount of personnel and associated costs needed to cover large scales, or the inaccessibility of remote but nonetheless affected areas.To overcome these limitations we propose a network of Automated Multisensor stations for Monitoring of species Diversity (AMMODs) to pave the way for a new generation of biodiversity assessment centers. This network combines cutting-edge technologies with biodiversity informatics and expert systems that conserve expert knowledge. Each AMMOD station combines autonomous samplers for insects, pollen and spores, audio recorders for vocalizing animals, sensors for volatile organic compounds emitted by plants (pVOCs) and camera traps for mammals and small invertebrates. AMMODs are largely self-containing and have the ability to pre-process data (e.g. for noise filtering) prior to transmission to receiver stations for storage, integration and analyses. Installation on sites that are difficult to access require a sophisticated and challenging system design with optimum balance between power requirements, bandwidth for data transmission, required service, and operation under all environmental conditions for years. An important prerequisite for automated species identification are databases of DNA barcodes, animal sounds, for pVOCs, and images used as training data for automated species identification. AMMOD stations thus become a key component to advance the field of biodiversity monitoring for research and policy by delivering biodiversity data at an unprecedented spatial and temporal resolution.http://www.sciencedirect.com/science/article/pii/S1439179122000032Biodiversity monitoringAMMODBioacoustic monitoringVisual monitoringComputer visionMetabarcoding |
| spellingShingle | J.Wolfgang Wägele Paul Bodesheim Sarah J. Bourlat Joachim Denzler Michael Diepenbroek Vera Fonseca Karl-Heinz Frommolt Matthias F. Geiger Birgit Gemeinholzer Frank Oliver Glöckner Timm Haucke Ameli Kirse Alexander Kölpin Ivaylo Kostadinov Hjalmar S. Kühl Frank Kurth Mario Lasseck Sascha Liedke Florian Losch Sandra Müller Natalia Petrovskaya Krzysztof Piotrowski Bernd Radig Christoph Scherber Lukas Schoppmann Jan Schulz Volker Steinhage Georg F. Tschan Wolfgang Vautz Domenico Velotto Maximilian Weigend Stefan Wildermann Towards a multisensor station for automated biodiversity monitoring Basic and Applied Ecology Biodiversity monitoring AMMOD Bioacoustic monitoring Visual monitoring Computer vision Metabarcoding |
| title | Towards a multisensor station for automated biodiversity monitoring |
| title_full | Towards a multisensor station for automated biodiversity monitoring |
| title_fullStr | Towards a multisensor station for automated biodiversity monitoring |
| title_full_unstemmed | Towards a multisensor station for automated biodiversity monitoring |
| title_short | Towards a multisensor station for automated biodiversity monitoring |
| title_sort | towards a multisensor station for automated biodiversity monitoring |
| topic | Biodiversity monitoring AMMOD Bioacoustic monitoring Visual monitoring Computer vision Metabarcoding |
| url | http://www.sciencedirect.com/science/article/pii/S1439179122000032 |
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