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Sheard JK, Adriaens T, Bowler DE, Büermann A, Callaghan CT, Camprasse ECM, Chowdhury S, Engel T, Finch EA, von Gönner J, Hsing PY, Mikula P, Rachel Oh RY, Peters B, Phartyal SS, Pocock MJO, Wäldchen J, Bonn A. Emerging technologies in citizen science and potential for insect monitoring. Philos Trans R Soc Lond B Biol Sci 2024; 379:20230106. [PMID: 38705194 PMCID: PMC11070260 DOI: 10.1098/rstb.2023.0106] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Accepted: 03/29/2024] [Indexed: 05/07/2024] Open
Abstract
Emerging technologies are increasingly employed in environmental citizen science projects. This integration offers benefits and opportunities for scientists and participants alike. Citizen science can support large-scale, long-term monitoring of species occurrences, behaviour and interactions. At the same time, technologies can foster participant engagement, regardless of pre-existing taxonomic expertise or experience, and permit new types of data to be collected. Yet, technologies may also create challenges by potentially increasing financial costs, necessitating technological expertise or demanding training of participants. Technology could also reduce people's direct involvement and engagement with nature. In this perspective, we discuss how current technologies have spurred an increase in citizen science projects and how the implementation of emerging technologies in citizen science may enhance scientific impact and public engagement. We show how technology can act as (i) a facilitator of current citizen science and monitoring efforts, (ii) an enabler of new research opportunities, and (iii) a transformer of science, policy and public participation, but could also become (iv) an inhibitor of participation, equity and scientific rigour. Technology is developing fast and promises to provide many exciting opportunities for citizen science and insect monitoring, but while we seize these opportunities, we must remain vigilant against potential risks. This article is part of the theme issue 'Towards a toolkit for global insect biodiversity monitoring'.
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Affiliation(s)
- Julie Koch Sheard
- Department of Ecosystem Services, Helmholtz Centre for Environmental Research - UFZ, Permoserstraße 15, 04318 Leipzig, Germany
- Institute of Biodiversity, Friedrich Schiller University Jena, Dornburger Straße 159, 07743 Jena, Germany
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstraße 4, 04103 Leipzig, Germany
| | - Tim Adriaens
- Research Institute for Nature and Forest (INBO), Havenlaan 88 bus 73, 1000 Brussels, Belgium
| | - Diana E. Bowler
- UK Centre for Ecology & Hydrology, Wallingford, Oxfordshire, OX10 8BB, UK
| | - Andrea Büermann
- Department of Ecosystem Services, Helmholtz Centre for Environmental Research - UFZ, Permoserstraße 15, 04318 Leipzig, Germany
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstraße 4, 04103 Leipzig, Germany
| | - Corey T. Callaghan
- Department of Wildlife Ecology and Conservation, Fort Lauderdale Research and Education Center, University of Florida, FL 33314, USA
| | - Elodie C. M. Camprasse
- School of Life and Environmental Sciences, Deakin University, Melbourne Burwood Campus, 221 Burwood Highway, Burwood, Victoria 3125, Australia
| | - Shawan Chowdhury
- Department of Ecosystem Services, Helmholtz Centre for Environmental Research - UFZ, Permoserstraße 15, 04318 Leipzig, Germany
- Institute of Biodiversity, Friedrich Schiller University Jena, Dornburger Straße 159, 07743 Jena, Germany
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstraße 4, 04103 Leipzig, Germany
| | - Thore Engel
- Department of Ecosystem Services, Helmholtz Centre for Environmental Research - UFZ, Permoserstraße 15, 04318 Leipzig, Germany
- Institute of Biodiversity, Friedrich Schiller University Jena, Dornburger Straße 159, 07743 Jena, Germany
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstraße 4, 04103 Leipzig, Germany
| | - Elizabeth A. Finch
- Department of Ecosystem Services, Helmholtz Centre for Environmental Research - UFZ, Permoserstraße 15, 04318 Leipzig, Germany
- Institute of Biodiversity, Friedrich Schiller University Jena, Dornburger Straße 159, 07743 Jena, Germany
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstraße 4, 04103 Leipzig, Germany
| | - Julia von Gönner
- Department of Ecosystem Services, Helmholtz Centre for Environmental Research - UFZ, Permoserstraße 15, 04318 Leipzig, Germany
- Institute of Biodiversity, Friedrich Schiller University Jena, Dornburger Straße 159, 07743 Jena, Germany
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstraße 4, 04103 Leipzig, Germany
| | - Pen-Yuan Hsing
- Faculty of Life Sciences, University of Bristol, 12a Priory Road, Bristol BS8 1TU, UK
| | - Peter Mikula
- TUM School of Life Sciences, Ecoclimatology, Technical University of Munich, Hans-Carl-von-Carlowitz-Platz 2, 85354 Freising, Germany
- Institute for Advanced Study, Technical University of Munich, Lichtenbergstraße 2a, 85748 Garching, Germany
- Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Kamýcká 129, 16500 Prague, Czech Republic
| | - Rui Ying Rachel Oh
- Department of Ecosystem Services, Helmholtz Centre for Environmental Research - UFZ, Permoserstraße 15, 04318 Leipzig, Germany
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstraße 4, 04103 Leipzig, Germany
| | - Birte Peters
- Department of Ecosystem Services, Helmholtz Centre for Environmental Research - UFZ, Permoserstraße 15, 04318 Leipzig, Germany
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstraße 4, 04103 Leipzig, Germany
| | - Shyam S. Phartyal
- School of Ecology and Environment Studies, Nalanda University, Rajgir 803116, India
| | | | - Jana Wäldchen
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstraße 4, 04103 Leipzig, Germany
- Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Hans-Knöll-Straße 10, 07745 Jena, Germany
| | - Aletta Bonn
- Department of Ecosystem Services, Helmholtz Centre for Environmental Research - UFZ, Permoserstraße 15, 04318 Leipzig, Germany
- Institute of Biodiversity, Friedrich Schiller University Jena, Dornburger Straße 159, 07743 Jena, Germany
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstraße 4, 04103 Leipzig, Germany
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2
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Costa-Pereira R, Shaner PJL. The spatiotemporal context of individual specialization in resource use and environmental associations. J Anim Ecol 2024. [PMID: 38706400 DOI: 10.1111/1365-2656.14090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Accepted: 03/14/2024] [Indexed: 05/07/2024]
Abstract
1. Individual niche specialization is widespread in natural populations and has key implications for higher levels of biological organization. This phenomenon, however, has been primarily quantified in resource niche axes, overlooking individual variation in environmental associations (i.e. abiotic conditions organisms experience). 2. Here, we explore what we can learn from a multidimensional perspective of individual niche specialization that integrates resource use and environmental associations into a common framework. 3. By combining predictions from theory and simple simulations, we illustrate how (i) multidimensional intraspecific niche variation and (ii) the spatiotemporal context of interactions between conspecifics scale up to shape emergent patterns of the population niche. 4. Contemplating individual specialization as a multidimensional, unifying concept across biotic and abiotic niche axes is a fundamental step towards bringing this concept closer to the n-dimensional niche envisioned by Hutchinson.
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Affiliation(s)
- Raul Costa-Pereira
- Department of Animal Biology, Institute of Biology, Universidade Estadual de Campinas (Unicamp), Campinas, Brazil
| | - Pei-Jen Lee Shaner
- Department of Life Science, National Taiwan Normal University, Taipei, Taiwan
- Department of Natural Resources and Environmental Studies, National Dong Hwa University, Hualien, Taiwan
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3
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Hawkes LA, Davies P, Hall AE, Horton TW, Stamp T, Witt MJ, Sheehan EV. People behind the "pings"; limiting authorship threatens collaboration in telemetry. JOURNAL OF FISH BIOLOGY 2024. [PMID: 38519854 DOI: 10.1111/jfb.15700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Accepted: 02/09/2024] [Indexed: 03/25/2024]
Affiliation(s)
- L A Hawkes
- Faculty of Health and Life Sciences, University of Exeter, Exeter, UK
| | - P Davies
- School of Biological and Marine Sciences, University of Plymouth, Plymouth, UK
| | - A E Hall
- School of Biological and Marine Sciences, University of Plymouth, Plymouth, UK
| | - T W Horton
- Faculty of Environment, Society and Economy, University of Exeter, Penryn Campus, Penryn, UK
| | - T Stamp
- School of Biological and Marine Sciences, University of Plymouth, Plymouth, UK
| | - M J Witt
- Faculty of Health and Life Sciences, University of Exeter, Exeter, UK
- Faculty of Environment, Society and Economy, University of Exeter, Penryn Campus, Penryn, UK
| | - E V Sheehan
- School of Biological and Marine Sciences, University of Plymouth, Plymouth, UK
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Yu H, Amador GJ, Cribellier A, Klaassen M, de Knegt HJ, Naguib M, Nijland R, Nowak L, Prins HHT, Snijders L, Tyson C, Muijres FT. Edge computing in wildlife behavior and ecology. Trends Ecol Evol 2024; 39:128-130. [PMID: 38142163 DOI: 10.1016/j.tree.2023.11.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 11/16/2023] [Accepted: 11/30/2023] [Indexed: 12/25/2023]
Abstract
Modern sensor technologies increasingly enrich studies in wildlife behavior and ecology. However, constraints on weight, connectivity, energy and memory availability limit their implementation. With the advent of edge computing, there is increasing potential to mitigate these constraints, and drive major advancements in wildlife studies.
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Affiliation(s)
- Hui Yu
- Experimental Zoology Group, Wageningen University & Research, Wageningen, the Netherlands.
| | - Guillermo J Amador
- Experimental Zoology Group, Wageningen University & Research, Wageningen, the Netherlands
| | - Antoine Cribellier
- Experimental Zoology Group, Wageningen University & Research, Wageningen, the Netherlands
| | - Marcel Klaassen
- Centre for Integrative Ecology, School of Life and Environmental Science, Deakin University, Geelong, Australia
| | - Henrik J de Knegt
- Wildlife Ecology and Conservation Group, Wageningen University & Research, Wageningen, the Netherlands
| | - Marc Naguib
- Behavioral Ecology Group, Wageningen University & Research, Wageningen, the Netherlands
| | - Reindert Nijland
- Marine Animal Ecology Group, Wageningen University & Research, Wageningen, the Netherlands
| | - Lukasz Nowak
- Experimental Zoology Group, Wageningen University & Research, Wageningen, the Netherlands
| | - Herbert H T Prins
- Department of Animal Sciences, Wageningen University & Research, Wageningen, the Netherlands
| | - Lysanne Snijders
- Behavioral Ecology Group, Wageningen University & Research, Wageningen, the Netherlands
| | - Chris Tyson
- Behavioral Ecology Group, Wageningen University & Research, Wageningen, the Netherlands
| | - Florian T Muijres
- Experimental Zoology Group, Wageningen University & Research, Wageningen, the Netherlands
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5
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Gaidica M, Zhang M, Dantzer B. A Wireless Wearable Ecosystem for Social Network Analysis in Free-living Animals. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.15.575769. [PMID: 38293211 PMCID: PMC10827137 DOI: 10.1101/2024.01.15.575769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2024]
Abstract
Understanding the dynamics of animal social systems requires studying variation in contact and interaction, which is influenced by environmental conditions, resource availability, and predation risk, among other factors. Traditional (direct) observational methods have limitations, but advancements in sensor technologies and data analytics provide unprecedented opportunities to study these complex systems in naturalistic environments. Proximity logging and tracking devices, capturing movement, temperature, and social interactions, offer non-invasive means to quantify behavior and develop empirical models of animal social networks. However, challenges remain in integrating different data types, incorporating more sensor modalities, and addressing logistical constraints. To address these gaps, we developed a wireless wearable sensor system with novel features (called "Juxta"), including modular battery packs, memory management for combining data types, reconfigurable deployment modes, and a smartphone app for data collection. We present data from a pilot study on prairie voles ( Microtus ochrogaster ), which is a small mammal species that exhibits relatively complex social behavior. We demonstrate the potential for Juxta to increase our understanding of the social networks and behavior of free-living animals. Additionally, we propose a framework to guide future research in merging temporal, spatial, and event-driven data. By leveraging wireless technology, battery efficiency, and smart sensing modalities, our wearable ecosystem offers a scalable solution for real-time, high-resolution data capture and analysis in animal social network studies, opening new avenues for exploring complex social dynamics across species and environments.
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6
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Buschke FT, Capitani C, Sow EH, Khaemba Y, Kaplin BA, Skowno A, Chiawo D, Hirsch T, Ellwood ER, Clements H, Child MF, Huber PR, von Staden L, Hagenimana T, Killion AK, Mindje M, Mpakairi KS, Raymond M, Matlombe D, Mbeya D, von Hase A. Make global biodiversity information useful to national decision-makers. Nat Ecol Evol 2023; 7:1953-1956. [PMID: 37803167 DOI: 10.1038/s41559-023-02226-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/08/2023]
Affiliation(s)
| | | | - El Hadji Sow
- Centre de Suivi Ecologique (CSE), Observatoire pour la Biodiversité et les Aires Protégées d'Afrique de l'Ouest (OBAPAO), Dakar, Senegal
- Departement de Géographie, l'Université Gaston Berger de Saint-Louis, Saint-Louis, Senegal
| | - Yvonne Khaemba
- Eastern and Southern African Regional Office, International Union for the Conservation of Nature, Nairobi, Kenya
| | - Beth A Kaplin
- Center of Excellence in Biodiversity and Natural Resource Management, University of Rwanda, Kigali, Rwanda
| | - Andrew Skowno
- South African National Biodiversity Institute, Cape Town, South Africa
- Department of Biological Sciences, University of Cape Town, Cape Town, South Africa
| | - David Chiawo
- Centre for Biodiversity Information Development, Strathmore University, Nairobi, Kenya
| | - Tim Hirsch
- Global Biodiversity Information Facility, Copenhagen, Denmark
| | | | - Hayley Clements
- Centre for Sustainability Transitions, Stellenbosch University, Stellenbosch, South Africa
- Helsinki Lab of Interdisciplinary Conservation Science, Department of Geosciences and Geography, University of Helsinki, Helsinki, Finland
| | - Matthew F Child
- South African National Biodiversity Institute, Cape Town, South Africa
| | - Patrick R Huber
- Institute of the Environment, University of California Davis, Davis, CA, USA
| | - Lize von Staden
- South African National Biodiversity Institute, Pretoria, South Africa
| | - Thacien Hagenimana
- Center of Excellence in Biodiversity and Natural Resource Management, University of Rwanda, Kigali, Rwanda
| | - Alexander K Killion
- Center for Biodiversity and Global Change, Yale University, New Haven, CT, USA
| | - Mapendo Mindje
- Center of Excellence in Biodiversity and Natural Resource Management, University of Rwanda, Kigali, Rwanda
| | | | | | | | - Dickson Mbeya
- Malawi University of Science and Technology, Thyolo, Malawi
| | - Amrei von Hase
- Wildlife Conservation Society COMBO+, Cape Town, South Africa
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7
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Morelle K, Barasona JA, Bosch J, Heine G, Daim A, Arnold J, Bauch T, Kosowska A, Cadenas-Fernández E, Aviles MM, Zuñiga D, Wikelski M, Vizcaino-Sanchez JM, Safi K. Accelerometer-based detection of African swine fever infection in wild boar. Proc Biol Sci 2023; 290:20231396. [PMID: 37644835 PMCID: PMC10465979 DOI: 10.1098/rspb.2023.1396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 07/31/2023] [Indexed: 08/31/2023] Open
Abstract
Infectious wildlife diseases that circulate at the interface with domestic animals pose significant threats worldwide and require early detection and warning. Although animal tracking technologies are used to discern behavioural changes, they are rarely used to monitor wildlife diseases. Common disease-induced behavioural changes include reduced activity and lethargy ('sickness behaviour'). Here, we investigated whether accelerometer sensors could detect the onset of African swine fever (ASF), a viral infection that induces high mortality in suids for which no vaccine is currently available. Taking advantage of an experiment designed to test an oral ASF vaccine, we equipped 12 wild boars with an accelerometer tag and quantified how ASF affects their activity pattern and behavioural fingerprint, using overall dynamic body acceleration. Wild boars showed a daily reduction in activity of 10-20% from the healthy to the viremia phase. Using change point statistics and comparing healthy individuals living in semi-free and free-ranging conditions, we show how the onset of disease-induced sickness can be detected and how such early detection could work in natural settings. Timely detection of infection in animals is crucial for disease surveillance and control, and accelerometer technology on sentinel animals provides a viable complementary tool to existing disease management approaches.
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Affiliation(s)
- Kevin Morelle
- Department of Migration, Max Planck Institute of Animal Behaviour, Radolfzell, Germany
- Department of Game Management and Wildlife Biology, Czech University of Life Science, Prague, Czech Republic
| | - Jose Angel Barasona
- VISAVET Health Surveillance Center, Department of Animal Health, Complutense University of Madrid, 28040 Madrid, Spain
| | - Jaime Bosch
- VISAVET Health Surveillance Center, Department of Animal Health, Complutense University of Madrid, 28040 Madrid, Spain
| | - Georg Heine
- Department of Migration, Max Planck Institute of Animal Behaviour, Radolfzell, Germany
| | - Andreas Daim
- Department of Integrative Biology and Biodiversity Research, University of Natural Resources and Life Sciences, Institute of Wildlife Biology and Game Management (BOKU), Vienna, Austria
| | - Janosch Arnold
- Agricultural Centre Baden-Württemberg, Wildlife Research Unit, Aulendorf, Germany
| | - Toralf Bauch
- Agricultural Centre Baden-Württemberg, Wildlife Research Unit, Aulendorf, Germany
| | - Aleksandra Kosowska
- VISAVET Health Surveillance Center, Department of Animal Health, Complutense University of Madrid, 28040 Madrid, Spain
| | - Estefanía Cadenas-Fernández
- VISAVET Health Surveillance Center, Department of Animal Health, Complutense University of Madrid, 28040 Madrid, Spain
| | | | - Daniel Zuñiga
- Department of Migration, Max Planck Institute of Animal Behaviour, Radolfzell, Germany
| | - Martin Wikelski
- Department of Migration, Max Planck Institute of Animal Behaviour, Radolfzell, Germany
- Centre for the Advanced Study of Collective Behaviour, University of Konstanz, Konstanz, Germany
| | - Jose Manuel Vizcaino-Sanchez
- VISAVET Health Surveillance Center, Department of Animal Health, Complutense University of Madrid, 28040 Madrid, Spain
| | - Kamran Safi
- Department of Migration, Max Planck Institute of Animal Behaviour, Radolfzell, Germany
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