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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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Clause AG, Luna-Reyes R, Mendoza-Velázquez OM, Nieto-Montes de Oca A, Solano-Zavaleta I. Bridging the gap: A new species of arboreal Abronia (Squamata: Anguidae) from the Northern Highlands of Chiapas, Mexico. PLoS One 2024; 19:e0295230. [PMID: 38170723 PMCID: PMC10763973 DOI: 10.1371/journal.pone.0295230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Accepted: 11/19/2023] [Indexed: 01/05/2024] Open
Abstract
The mountain forests of Middle America are renowned for their endemic biodiversity, and arboreal alligator lizards (genus Abronia) are high-profile vertebrates endemic to this region. In this work, we describe a new species of arboreal Abronia that is known only from the type locality in the Northern Highlands of Chiapas, Mexico. The new species is diagnosed from all other members of the genus Abronia by the following combination of characters: lack of protuberant or spine-like supra-auricular scales, lack of protuberant or casque-like posterolateral head scales, dorsum of head pale yellow with distinct dark markings, 35-39 transverse dorsal scale rows, lateralmost row of ventral scales enlarged relative to adjacent medial row, and dorsum brown with darker crossbands that are sometimes reduced to rows of spots. We provisionally include the new species in the subgenus Lissabronia based on genomic and morphological evidence, but our results also suggest a close relationship to the subgenus Abaculabronia. The new species is geographically separated from the nearest Lissabronia and Abaculabronia species by the lowland Central Depression of Chiapas. Ongoing habitat loss and other factors imperil the new species, leading us to propose its listing under multiple threatened species frameworks. Because the Northern Highlands have poor coverage of protected areas, we briefly comment on the potential of this new species for stimulating conservation in the region.
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Affiliation(s)
- Adam G. Clause
- Department of Herpetology, San Diego Natural History Museum, San Diego, California, United States of America
| | - Roberto Luna-Reyes
- Dirección de Áreas Naturales y Vida Silvestre, Secretaría de Medio Ambiente e Historia Natural, Tuxtla Gutiérrez, Chiapas, México
| | - Oscar M. Mendoza-Velázquez
- Instituto de Ciencias Biológicas, Universidad de Ciencias y Artes de Chiapas, Tuxtla Gutiérrez, Chiapas, México
| | - Adrián Nieto-Montes de Oca
- Departamento de Biología Evolutiva, Facultad de Ciencias, Universidad Nacional Autónoma de México, Ciudad de México, México
| | - Israel Solano-Zavaleta
- Departamento de Ecología y Recursos Naturales, Facultad de Ciencias, Universidad Nacional Autónoma de México, Ciudad de México, México
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Chowdhury S, Aich U, Rokonuzzaman M, Alam S, Das P, Siddika A, Ahmed S, Labi MM, Marco MD, Fuller RA, Callaghan CT. Increasing biodiversity knowledge through social media: A case study from tropical Bangladesh. Bioscience 2023; 73:453-459. [PMID: 37397834 PMCID: PMC10308356 DOI: 10.1093/biosci/biad042] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 04/18/2023] [Accepted: 04/18/2023] [Indexed: 07/04/2023] Open
Abstract
Citizen science programs are becoming increasingly popular among naturalists but remain heavily biased taxonomically and geographically. However, with the explosive popularity of social media and the near-ubiquitous availability of smartphones, many post wildlife photographs on social media. Here, we illustrate the potential of harvesting these data to enhance our biodiversity understanding using Bangladesh, a tropical biodiverse country, as a case study. We compared biodiversity records extracted from Facebook with those from the Global Biodiversity Information Facility (GBIF), collating geospatial records for 1013 unique species, including 970 species from Facebook and 712 species from GBIF. Although most observation records were biased toward major cities, the Facebook records were more evenly spatially distributed. About 86% of the Threatened species records were from Facebook, whereas the GBIF records were almost entirely Of Least Concern species. To reduce the global biodiversity data shortfall, a key research priority now is the development of mechanisms for extracting and interpreting social media biodiversity data.
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Affiliation(s)
- Shawan Chowdhury
- School of Biological Sciences, University of Queensland, in Saint Lucia, Queensland, Australia
- Institute of Biodiversity, Friedrich Schiller University Jena, in Jena, Germany
- Helmholtz Centre for Environmental Research—UFZ, Department of Ecosystem Services, in Leipzig, Germany
- German Centre for Integrative Biodiversity Research, in Leipzig, Germany
| | - Upama Aich
- School of Biological Sciences, Monash University, in Clayton, Victoria, Australia
| | - Md Rokonuzzaman
- Department of Zoology, University of Dhaka, in Dhaka, Bangladesh
| | - Shofiul Alam
- Department of Zoology, University of Dhaka, in Dhaka, Bangladesh
| | - Priyanka Das
- Department of Zoology, University of Dhaka, in Dhaka, Bangladesh
| | - Asma Siddika
- Department of Zoology, University of Dhaka, in Dhaka, Bangladesh
| | - Sultan Ahmed
- Department of Zoology, University of Dhaka, in Dhaka, Bangladesh
| | | | - Moreno Di Marco
- Department of Biology and Biotechnologies, Sapienza University of Rome, in Rome, Italy
| | - Richard A Fuller
- School of Biological Sciences, University of Queensland, in Saint Lucia, Queensland, Australia
| | - Corey T Callaghan
- Department of Wildlife Ecology and Conservation, Fort Lauderdale, Florida, United States
- Research and Education Center, University of Florida, Davie, Florida, United States
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4
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Spear D, van Wilgen NJ, Rebelo AG, Botha JM. Collating biodiversity occurrence data for conservation. Front Ecol Evol 2023. [DOI: 10.3389/fevo.2023.1037282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023] Open
Abstract
Plant and animal checklists, with conservation status information, are fundamental for conservation management. Historical field data, more recent data of digital origin and data-sharing platforms provide useful sources for collating species locality data. However, different biodiversity datasets have different formats and inconsistent naming systems. Additionally, most digital data sources do not provide an easy option for download by protected area. Further, data-entry-ready software is not readily available for conservation organization staff with limited technical skills to collate these heterogeneous data and create distribution maps and checklists for protected areas. The insights presented here are the outcome of conceptualizing a biodiversity information system for South African National Parks. We recognize that a fundamental requirement for achieving better standardization, sharing and use of biodiversity data for conservation is capacity building, internet connectivity, national institutional data management support and collaboration. We focus on some of the issues that need to be considered for capacity building, data standardization and data support. We outline the need for using taxonomic backbones and standardizing biodiversity data and the utility of data from the Global Biodiversity Information Facility and other available sources in this process. Additionally, we make recommendations for the fields needed in relational databases for collating species data that can be used to inform conservation decisions and outline steps that can be taken to enable easier collation of biodiversity data, using South Africa as a case study.
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Gomes DGE, Pottier P, Crystal-Ornelas R, Hudgins EJ, Foroughirad V, Sánchez-Reyes LL, Turba R, Martinez PA, Moreau D, Bertram MG, Smout CA, Gaynor KM. Why don't we share data and code? Perceived barriers and benefits to public archiving practices. Proc Biol Sci 2022; 289:20221113. [PMID: 36416041 PMCID: PMC9682438 DOI: 10.1098/rspb.2022.1113] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 11/02/2022] [Indexed: 08/10/2023] Open
Abstract
The biological sciences community is increasingly recognizing the value of open, reproducible and transparent research practices for science and society at large. Despite this recognition, many researchers fail to share their data and code publicly. This pattern may arise from knowledge barriers about how to archive data and code, concerns about its reuse, and misaligned career incentives. Here, we define, categorize and discuss barriers to data and code sharing that are relevant to many research fields. We explore how real and perceived barriers might be overcome or reframed in the light of the benefits relative to costs. By elucidating these barriers and the contexts in which they arise, we can take steps to mitigate them and align our actions with the goals of open science, both as individual scientists and as a scientific community.
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Affiliation(s)
- Dylan G. E. Gomes
- NRC Research Associate, Northwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, Seattle, WA 98112, USA
- Cooperative Institute for Marine Resources Studies, Hatfield Marine Science Center, Oregon State University, Newport, OR 97365, USA
| | - Patrice Pottier
- Evolution & Ecology Research Centre, School of Biological, Earth and Environmental Sciences, The University of New South Wales, Sydney, New South Wales 2052, Australia
| | - Robert Crystal-Ornelas
- Earth and Environmental Sciences Area, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Emma J. Hudgins
- Department of Biology, Carleton University, Ottawa, Canada, K1S 5B6
| | | | | | - Rachel Turba
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, CA 90095-7239, USA
| | - Paula Andrea Martinez
- Australian Research Data Commons, The University of Queensland, Brisbane 4072, Australia
| | - David Moreau
- School of Psychology and Centre for Brain Research, University of Auckland, Auckland 1010, New Zealand
| | - Michael G. Bertram
- Department of Wildlife, Fish, and Environmental Studies, Swedish University of Agricultural Sciences, Umeå, SE-907 36, Sweden
| | - Cooper A. Smout
- Institute for Globally Distributed Open Research and Education (IGDORE), Brisbane 4001, Australia
| | - Kaitlyn M. Gaynor
- Departments of Zoology and Botany, University of British Columbia, Vancouver, Canada, BC V6T 1Z4
- National Center for Ecological Analysis and Synthesis, Santa Barbara, CA 93101, USA
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6
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Chen S, Li T, Yang L, Zhai F, Jiang X, Xiang R, Ling G. Artificial intelligence-driven prediction of multiple drug interactions. Brief Bioinform 2022; 23:6720429. [PMID: 36168896 DOI: 10.1093/bib/bbac427] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 09/01/2022] [Accepted: 09/02/2022] [Indexed: 12/14/2022] Open
Abstract
When a drug is administered to exert its efficacy, it will encounter multiple barriers and go through multiple interactions. Predicting the drug-related multiple interactions is critical for drug development and safety monitoring because it provides foundations for practical, safe compatibility and rational use of multiple drugs. With the progress of artificial intelligence (AI) technology, a variety of novel prediction methods for single interaction have emerged and shown great advantages compared to the traditional, expensive and time-consuming laboratory research. To promote the comprehensive and simultaneous predictions of multiple interactions, we systematically reviewed the application of AI in drug-drug, drug-food (excipients) and drug-microbiome interactions. We began by outlining the model methods, evaluation indicators, algorithms and databases commonly used to build models for three types of drug interactions. The models based on the metabolic enzyme P450, drug similarity and drug targets have empathized among the machine learning models of drug-drug interactions. In particular, we discussed the limitations of current approaches and identified potential areas for future research. It is anticipated the in-depth review will be helpful for the development of the next-generation of systematic prediction models for simultaneous multiple interactions.
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Affiliation(s)
- Siqi Chen
- College of Medical Devices, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang 110016, China
| | - Tiancheng Li
- College of Medical Devices, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang 110016, China
| | - Luna Yang
- College of Medical Devices, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang 110016, China
| | - Fei Zhai
- College of Medical Devices, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang 110016, China
| | - Xiwei Jiang
- College of Medical Devices, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang 110016, China
| | - Rongwu Xiang
- College of Medical Devices, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang 110016, China.,Liaoning Medical Big Data and Artificial Intelligence Engineering Technology Research Center, Shenyang 110016, China
| | - Guixia Ling
- College of Medical Devices, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang 110016, China
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Martin ME, Delheimer MS, Moriarty KM, Early DA, Hamm KA, Pauli JN, Mcdonald TL, Manley PN. Conservation of rare and cryptic species: Challenges of uncertainty and opportunities for progress. CONSERVATION SCIENCE AND PRACTICE 2022. [DOI: 10.1111/csp2.12809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Affiliation(s)
- Marie E. Martin
- Oregon State University, Institute for Natural Resources Portland Oregon USA
| | - Matthew S. Delheimer
- USDA Forest Service, Pacific Southwest Research Station Placerville California USA
| | - Katie M. Moriarty
- National Council for Air and Stream Improvement, Inc. Corvallis Oregon USA
| | | | - Keith A. Hamm
- Green Diamond Resource Company Korbel California USA
| | - Jonathan N. Pauli
- Department of Forest and Wildlife Ecology University of Wisconsin‐Madison Madison Wisconsin USA
| | | | - Patricia N. Manley
- USDA Forest Service, Pacific Southwest Research Station Placerville California USA
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8
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Deconstruction of the Prevention of Knee Osteoarthritis by Swimming Based on Data Mining Technology. BIOMED RESEARCH INTERNATIONAL 2022; 2022:1001686. [PMID: 36017389 PMCID: PMC9398800 DOI: 10.1155/2022/1001686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 07/11/2022] [Accepted: 07/22/2022] [Indexed: 11/17/2022]
Abstract
With the continuous development of big data and the continuous improvement of people's living standards, increasingly attention is paid to physical health. Swimming in this sport is effective in preventing the occurrence of arthritis. This paper analyzes the prevention and exploration of arthritis and relies on the traditional method of retrieving clinical literature on the treatment of knee osteoarthritis with traditional Chinese medicine and internal medicine, which requires a lot of manpower and material resources. At this time, the role of data mining technology is brought into play. This article analyzes the prevention of arthritis by swimming. If you rely on the traditional retrieval of clinical literature on the treatment of knee osteoarthritis with traditional Chinese medicine and internal medicine, you will find a lot of disordered data. It takes a lot of manpower and material resources to sort out the summary, and at this time, the role of data mining (DM) technology is brought into play. In this paper, the relevant information of the literature that meets the requirements is established in an Excel database, and the data of the relevant information is entered. Through sorting and analysis, the TCM syndrome types of knee osteoarthritis are summarized. Then, DM technology was used to carry out statistical analysis of frequency and prescription, to summarize the distribution characteristics of the corresponding knee osteoarthritis, TCM syndrome types, and the weight of each syndrome type, and to make a preliminary discussion at the same time. Finally, it is concluded that there are better prevention methods for arthritis in the research methods of traditional Chinese medicine. DM technology has been increasingly applied to all aspects of traditional Chinese medicine. DM technology has improved its research efficiency by 38% and achieved great results, which will play a greater role in promoting the research process of TCM syndrome.
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Climatic Suitability and Distribution Overlap of Sawflies (Hymenoptera: Diprionidae) and Threatened Populations of Pinaceae. FORESTS 2022. [DOI: 10.3390/f13071067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Ecological Niche Models (ENM) are tools used to predict suitability, based on climatic variables selected and occurrence data of the target species, and characterize the environmental space. Sawflies (Hymenoptera: Diprionidae) are one of the main factors threatening forest health in Mexico, with cyclical population outbreaks and a wide range of hosts. In the present paper, we calculate the climatic niche in Mexico of three diprionids, Neodiprion abietis (Harris), N. omosus Smith, and Zadiprion rohweri (Middleton); the first and the latter with recent records in Mexico, and N. omosus with presence in Mexico and Guatemala; contrasting them against the distribution records of host species in the country. The climatic suitability of N. abietis was high in the Sierra Madre Occidental where its hosts, Pinus ponderosa, P. strobiformis, and P. menziesii are distributed. For N. omosus, the environmental suitability was projected towards the Southern Altiplano, where it coincides with a small presence of its hosts P. leiophylla and P. ayacahuite; however, it was possible to calculate its coincidence with more hosts in other biogeographic provinces. Pinaceae species considered under threat, Abies concolor, P. monophylla, and P. strobiformis, have populations within the environmental suitability of the sawflies.
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10
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Young N, Roche DG, Lennox RJ, Bennett JR, Cooke SJ. Ethical ecosurveillance: Mitigating the potential impacts on humans of widespread environmental monitoring. PEOPLE AND NATURE 2022. [DOI: 10.1002/pan3.10327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
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11
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Barriers to Full Participation in the Open Science Life Cycle among Early Career Researchers. DATA SCIENCE JOURNAL 2022. [DOI: 10.5334/dsj-2022-002] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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Mandeville CP, Koch W, Nilsen EB, Finstad AG. Open Data Practices among Users of Primary Biodiversity Data. Bioscience 2021; 71:1128-1147. [PMID: 34733117 PMCID: PMC8560312 DOI: 10.1093/biosci/biab072] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Presence-only biodiversity data are increasingly relied on in biodiversity, ecology, and conservation research, driven by growing digital infrastructures that support open data sharing and reuse. Recent reviews of open biodiversity data have clearly documented the value of data sharing, but the extent to which the biodiversity research community has adopted open data practices remains unclear. We address this question by reviewing applications of presence-only primary biodiversity data, drawn from a variety of sources beyond open databases, in the indexed literature. We characterize how frequently researchers access open data relative to data from other sources, how often they share newly generated or collated data, and trends in metadata documentation and data citation. Our results indicate that biodiversity research commonly relies on presence-only data that are not openly available and neglects to make such data available. Improved data sharing and documentation will increase the value, reusability, and reproducibility of biodiversity research.
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Affiliation(s)
- Caitlin P Mandeville
- Department of Natural History, Norwegian University of Science and Technology, Trondheim, Norway
| | - Wouter Koch
- Department of Natural History, Norwegian University of Science and Technology, Trondheim, Norway
| | - Erlend B Nilsen
- Faculty of Biosciences and Aquaculture, Nord University, Steinkjer, Norway
| | - Anders G Finstad
- Department of Natural History, Norwegian University of Science and Technology, Trondheim, Norway
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Marcer A, Haston E, Groom Q, Ariño AH, Chapman AD, Bakken T, Braun P, Dillen M, Ernst M, Escobar A, Fichtmüller D, Livermore L, Nicolson N, Paragamian K, Paul D, Pettersson LB, Phillips S, Plummer J, Rainer H, Rey I, Robertson T, Röpert D, Santos J, Uribe F, Waller J, Wieczorek JR. Quality issues in georeferencing: From physical collections to digital data repositories for ecological research. DIVERS DISTRIB 2020. [DOI: 10.1111/ddi.13208] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Affiliation(s)
- Arnald Marcer
- CREAFE 08193, Bellaterra (Cerdanyola del Vallès) Catalonia Spain
- Universitat Autònoma de BarcelonaE 08193, Bellaterra (Cerdanyola del Vallès) Catalonia Spain
| | | | | | | | - Arthur D. Chapman
- Australian Biodiversity Information Services Melbourne Victoria Australia
| | - Torkild Bakken
- Norwegian University of Science and TechnologyNTNU University Museum Trondheim Norway
| | - Paul Braun
- Musée National d’Histoire Naturelle Luxembourg City Luxembourg
| | - Mathias Dillen
- Botanic Garden and Botanical Museum BerlinFreie Universität Berlin Berlin Germany
| | - Marcus Ernst
- Botanic Garden and Botanical Museum BerlinFreie Universität Berlin Berlin Germany
| | - Agustí Escobar
- CREAFE 08193, Bellaterra (Cerdanyola del Vallès) Catalonia Spain
| | - David Fichtmüller
- Botanic Garden and Botanical Museum BerlinFreie Universität Berlin Berlin Germany
| | | | | | | | - Deborah Paul
- Florida State UniversityiDigBio Tallahassee Florida USA
| | | | | | | | | | - Isabel Rey
- Museu Nacional de Ciencias Naturales (CSIC) Madrid Spain
| | | | - Dominik Röpert
- Botanic Garden and Botanical Museum BerlinFreie Universität Berlin Berlin Germany
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14
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McClure EC, Sievers M, Brown CJ, Buelow CA, Ditria EM, Hayes MA, Pearson RM, Tulloch VJD, Unsworth RKF, Connolly RM. Artificial Intelligence Meets Citizen Science to Supercharge Ecological Monitoring. PATTERNS 2020; 1:100109. [PMID: 33205139 PMCID: PMC7660425 DOI: 10.1016/j.patter.2020.100109] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The development and uptake of citizen science and artificial intelligence (AI) techniques for ecological monitoring is increasing rapidly. Citizen science and AI allow scientists to create and process larger volumes of data than possible with conventional methods. However, managers of large ecological monitoring projects have little guidance on whether citizen science, AI, or both, best suit their resource capacity and objectives. To highlight the benefits of integrating the two techniques and guide future implementation by managers, we explore the opportunities, challenges, and complementarities of using citizen science and AI for ecological monitoring. We identify project attributes to consider when implementing these techniques and suggest that financial resources, engagement, participant training, technical expertise, and subject charisma and identification are important project considerations. Ultimately, we highlight that integration can supercharge outcomes for ecological monitoring, enhancing cost-efficiency, accuracy, and multi-sector engagement. Citizen science and artificial intelligence (AI) are often used in isolation for ecological monitoring, but their integration likely has emergent benefits for management and scientific inquiry. We explore the complementarity of citizen science and AI for ecological monitoring, highlighting key opportunities and challenges. We show that strategic integration of citizen science and AI can improve outcomes for conservation activities. For example, coupling the public engagement benefits of citizen science with the advanced analytical capabilities of AI can increase multi-stakeholder accord on issues of public and scientific interest. Furthermore, both techniques speed up data collection and processing compared with conventional scientific techniques, suggesting that their integration can fast-track monitoring and conservation actions. We present key project attributes that will assist project managers in prioritizing the resources needed to implement citizen science, AI, or preferably both.
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Affiliation(s)
- Eva C McClure
- Australian Rivers Institute - Coast and Estuaries, School of Environment and Science, Griffith University, Gold Coast, QLD 4222, Australia
| | - Michael Sievers
- Australian Rivers Institute - Coast and Estuaries, School of Environment and Science, Griffith University, Gold Coast, QLD 4222, Australia
| | - Christopher J Brown
- Australian Rivers Institute - Coast and Estuaries, School of Environment and Science, Griffith University, Nathan, QLD 4111, Australia
| | - Christina A Buelow
- Australian Rivers Institute - Coast and Estuaries, School of Environment and Science, Griffith University, Gold Coast, QLD 4222, Australia
| | - Ellen M Ditria
- Australian Rivers Institute - Coast and Estuaries, School of Environment and Science, Griffith University, Gold Coast, QLD 4222, Australia
| | - Matthew A Hayes
- Australian Rivers Institute - Coast and Estuaries, School of Environment and Science, Griffith University, Gold Coast, QLD 4222, Australia
| | - Ryan M Pearson
- Australian Rivers Institute - Coast and Estuaries, School of Environment and Science, Griffith University, Gold Coast, QLD 4222, Australia
| | - Vivitskaia J D Tulloch
- Department of Forest and Conservation Science, University of British Columbia, Vancouver, BC, Canada
| | - Richard K F Unsworth
- Seagrass Ecosystem Research Group, College of Science, Swansea University, Swansea SA2 8PP, UK
| | - Rod M Connolly
- Australian Rivers Institute - Coast and Estuaries, School of Environment and Science, Griffith University, Gold Coast, QLD 4222, Australia
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15
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Clause AG, Luna-Reyes R, De Oca ANM. A New Species of Abronia (Squamata: Anguidae) from a Protected Area in Chiapas, Mexico. HERPETOLOGICA 2020. [DOI: 10.1655/herpetologica-d-19-00047] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Adam G. Clause
- Warnell School of Forestry and Natural Resources, University of Georgia, Athens, GA 30602, USA
| | - Roberto Luna-Reyes
- Dirección de Gestión, Investigación y Educación Ambiental, Secretaría de Medio Ambiente e Historia Natural, Tuxtla Gutiérrez 29000, Chiapas, México
| | - Adrián Nieto-Montes De Oca
- Laboratorio de Herpetología, Departamento de Biología Evolutiva, Facultad de Ciencias, Universidad Nacional Autónoma de México, Ciudad Universitaria, Ciudad de México 04510, México
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16
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Driscoll DA, Garrard GE, Kusmanoff AM, Dovers S, Maron M, Preece N, Pressey RL, Ritchie EG. Consequences of information suppression in ecological and conservation sciences. Conserv Lett 2020. [DOI: 10.1111/conl.12757] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Affiliation(s)
- Don A. Driscoll
- Academic Freedom Working Group Ecological Society of Australia Windsor Australia
- Centre for Integrative Ecology School of Life and Environmental Sciences, Deakin University Geelong Melbourne Burwood Campus Burwood Australia
| | - Georgia E. Garrard
- Academic Freedom Working Group Ecological Society of Australia Windsor Australia
- ICON Science, School of Global, Urban and Social Studies RMIT University Melbourne Australia
| | - Alexander M. Kusmanoff
- Academic Freedom Working Group Ecological Society of Australia Windsor Australia
- ICON Science, School of Global, Urban and Social Studies RMIT University Melbourne Australia
| | - Stephen Dovers
- Academic Freedom Working Group Ecological Society of Australia Windsor Australia
- Fenner School of Environment and Society Australian National University Canberra Australia
| | - Martine Maron
- Academic Freedom Working Group Ecological Society of Australia Windsor Australia
- School of Earth and Environmental Sciences The University of Queensland Brisbane Australia
| | - Noel Preece
- Academic Freedom Working Group Ecological Society of Australia Windsor Australia
- College of Science & Engineering, Centre for Tropical Environmental and Sustainability Science James Cook University Cairns Australia
- Research Institute for the Environment and Livelihoods Charles Darwin University Darwin Australia
| | - Robert L. Pressey
- Academic Freedom Working Group Ecological Society of Australia Windsor Australia
- Australian Research Council Centre of Excellence for Coral Reef Studies James Cook University Townsville Australia
| | - Euan G. Ritchie
- Academic Freedom Working Group Ecological Society of Australia Windsor Australia
- Centre for Integrative Ecology School of Life and Environmental Sciences, Deakin University Geelong Melbourne Burwood Campus Burwood Australia
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17
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Lunghi E, Giachello S, Zhao Y, Corti C, Ficetola GF, Manenti R. Photographic database of the European cave salamanders, genus Hydromantes. Sci Data 2020; 7:171. [PMID: 32504009 PMCID: PMC7275050 DOI: 10.1038/s41597-020-0513-8] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Accepted: 04/27/2020] [Indexed: 11/23/2022] Open
Abstract
European Hydromantes are a group of eight salamander species often occurring in subterranean habitats, which are a difficult environment to explore. All Hydromantes are strictly protected species and thus, low-impact methodologies to study these salamanders are strongly needed. Here we used a photographic technique to produce a large dataset of European Hydromantes, providing standardised pictures of 1,052 individuals belonging to the eight species, including hybrids as well. With our methodology we were able to reduce the handling time of individuals, and produce high quality pictures useful to investigate multiple life traits of these endangered species. Furthermore, the standardised photos provided here can be used for future comparisons of individuals from the surveyed populations.
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Affiliation(s)
- Enrico Lunghi
- Key Laboratory of the Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- Museo di Storia Naturale dell'Università degli Studi di Firenze, Museo "La Specola", Firenze, Italy
| | - Simone Giachello
- Dipartimento di Scienze e Politiche Ambientali, Università degli Studi di Milano, Milano, Italy.
| | - Yahui Zhao
- Key Laboratory of the Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
| | - Claudia Corti
- Museo di Storia Naturale dell'Università degli Studi di Firenze, Museo "La Specola", Firenze, Italy
| | - Gentile Francesco Ficetola
- Dipartimento di Scienze e Politiche Ambientali, Università degli Studi di Milano, Milano, Italy
- Univ. Grenoble Alpes, CNRS, Univ. Savoie Mont Blanc, LECA, Laboratoire d'Ecologie Alpine, F-38000, Grenoble, France
| | - Raoul Manenti
- Dipartimento di Scienze e Politiche Ambientali, Università degli Studi di Milano, Milano, Italy
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18
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Console G, Iannella M, Cerasoli F, D'Alessandro P, Biondi M. A European perspective of the conservation status of the threatened meadow viper Vipera ursinii (BONAPARTE, 1835) (Reptilia, Viperidae). WILDLIFE BIOLOGY 2020. [DOI: 10.2981/wlb.00604] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Affiliation(s)
- Giulia Console
- G. Console (https://orcid.org/0000-0003-4836-5415), M. Iannella (https://orcid.org/0000-0003-4695-0194) ✉ , F. Cerasoli (https://orcid.org/0000-0002-9712-9147), P. D'Alessandro (https://orcid.org/0000-0002-4481-9152) and M
| | - Mattia Iannella
- G. Console (https://orcid.org/0000-0003-4836-5415), M. Iannella (https://orcid.org/0000-0003-4695-0194) ✉ , F. Cerasoli (https://orcid.org/0000-0002-9712-9147), P. D'Alessandro (https://orcid.org/0000-0002-4481-9152) and M
| | - Francesco Cerasoli
- G. Console (https://orcid.org/0000-0003-4836-5415), M. Iannella (https://orcid.org/0000-0003-4695-0194) ✉ , F. Cerasoli (https://orcid.org/0000-0002-9712-9147), P. D'Alessandro (https://orcid.org/0000-0002-4481-9152) and M
| | - Paola D'Alessandro
- G. Console (https://orcid.org/0000-0003-4836-5415), M. Iannella (https://orcid.org/0000-0003-4695-0194) ✉ , F. Cerasoli (https://orcid.org/0000-0002-9712-9147), P. D'Alessandro (https://orcid.org/0000-0002-4481-9152) and M
| | - Maurizio Biondi
- G. Console (https://orcid.org/0000-0003-4836-5415), M. Iannella (https://orcid.org/0000-0003-4695-0194) ✉ , F. Cerasoli (https://orcid.org/0000-0002-9712-9147), P. D'Alessandro (https://orcid.org/0000-0002-4481-9152) and M
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19
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Daly R, Daly CAK, Gray AE, Peel LR, Gordon L, Lea JSE, Clarke CR, Weng KC. Investigating the efficacy of a proposed marine protected area for the Endangered humphead wrasse Cheilinus undulatus at a remote island group in Seychelles. ENDANGER SPECIES RES 2020. [DOI: 10.3354/esr01035] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
The humphead wrasse Cheilinus undulatus is an iconic, ecologically important and Endangered fish species associated with coral reefs in the Indo-Pacific region. Due to its large size and complex life history characteristics, it is vulnerable to overfishing and has undergone substantial population declines in parts of its range. Knowledge of the species’ movement ecology is currently limited to only 2 previous studies, and very little is known about populations in the western Indian Ocean. The present study aimed to use passive acoustic telemetry to investigate the importance of a remote coral reef to a population of humphead wrasse in the Republic of Seychelles, and subsequently assess the efficacy of a proposed marine protected area at this location for protection of the species. Tagged fish (n = 20) exhibited persistent (>500 d) site fidelity, with low dispersal distances (mean ± SD: 6.44 ± 4.0 km) and restricted core activity spaces (50% Brownian bridge kernel utilization density: 0.91 ± 0.61 km2). Additionally, the study site was home to a group of large (total length 97.9 ± 20.6 cm) and currently unexploited humphead wrasse that showed long-term predictable site fidelity and thus could be vulnerable to over-exploitation. The establishment of a proposed no-take marine protected area at the study site would encompass the core home range area of all tagged humphead wrasse and could effectively conserve this stronghold of Endangered fish to ensure the persistence of the species in Seychelles waters.
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Affiliation(s)
- R Daly
- Save Our Seas Foundation %%CONV_ERR%% D’Arros Research Centre (SOSF-DRC), Rue Philippe Plantamour 20, 1201 Genèva, Switzerland
- South African Institute for Aquatic Biodiversity (SAIAB), Private Bag 1015, Grahamstown 6140, South Africa
- Oceanographic Research Institute, PO Box 10712, Marine Parade, 4056, Durban, South Africa
| | - CAK Daly
- Oceanographic Research Institute, PO Box 10712, Marine Parade, 4056, Durban, South Africa
| | - AE Gray
- Joint Institute for Marine and Atmospheric Research, University of Hawaii at Manoa, Honolulu, Hawaii 96822, USA
| | - LR Peel
- Save Our Seas Foundation %%CONV_ERR%% D’Arros Research Centre (SOSF-DRC), Rue Philippe Plantamour 20, 1201 Genèva, Switzerland
- School of Biological Sciences, The Oceans Institute and The Oceans Graduate School, The University of Western Australia, Crawley, Western Australia 6009, Australia
- The Australian Institute of Marine Science, Crawley, Western Australia 6009, Australia
- The Manta Trust, Catemwood House, Norwood Lane, Corscombe, Dorset DT2 0NT, UK
| | - L Gordon
- Save Our Seas Foundation %%CONV_ERR%% D’Arros Research Centre (SOSF-DRC), Rue Philippe Plantamour 20, 1201 Genèva, Switzerland
- The Manta Trust, Catemwood House, Norwood Lane, Corscombe, Dorset DT2 0NT, UK
| | - JSE Lea
- Department of Zoology, University of Cambridge, Cambridge CB2 1TN, UK
- Marine Research Facility, PO Box 10646, Jeddah, 21443, Saudi Arabia
| | - CR Clarke
- Marine Research Facility, PO Box 10646, Jeddah, 21443, Saudi Arabia
| | - KC Weng
- Virginia Institute of Marine Science, College of William & Mary, Gloucester Point, Virginia 23062-1346, USA
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20
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Lennox RJ, Harcourt R, Bennett JR, Davies A, Ford AT, Frey RM, Hayward MW, Hussey NE, Iverson SJ, Kays R, Kessel ST, Mcmahon C, Muelbert M, Murray TS, Nguyen VM, Pye JD, Roche DG, Whoriskey FG, Young N, Cooke SJ. A Novel Framework to Protect Animal Data in a World of Ecosurveillance. Bioscience 2020. [DOI: 10.1093/biosci/biaa035] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Surveillance of animal movements using electronic tags (i.e., biotelemetry) has emerged as an essential tool for both basic and applied ecological research and monitoring. Advances in animal tracking are occurring simultaneously with changes to technology, in an evolving global scientific culture that increasingly promotes data sharing and transparency. However, there is a risk that misuse of biotelemetry data could increase the vulnerability of animals to human disturbance or exploitation. For the most part, telemetry data security is not a danger to animals or their ecosystems, but for some high-risk cases, as with species’ with high economic value or at-risk populations, available knowledge of their movements may promote active disturbance or worse, potential poaching. We suggest that when designing animal tracking studies it is incumbent on scientists to consider the vulnerability of their study animals to risks arising from the implementation of the proposed program, and to take preventative measures.
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Affiliation(s)
- Robert J Lennox
- Fish Ecology and Conservation Physiology Laboratory, Department of Biology, Carleton University, Ottawa, Ontario, Canada
- Laboratory for Freshwater Ecology and Inland Fisheries, part of the Norwegian Research Centre (NORCE), Bergen, Norway
| | - Robert Harcourt
- Department of Biological Sciences, Macquarie University, North Ryde, New South Wales, Australia
| | - Joseph R Bennett
- Institute of Environmental and Interdisciplinary Science and the Department of Biology, Carleton University, Ottawa, Ontario, Canada
| | - Alasdair Davies
- Conservation Technology Unit of the Zoological Society of London, London, England
| | - Adam T Ford
- Department of Biology, University of British Columbia, Kelowna, British Columbia, Canada
| | - Remo M Frey
- Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland
| | - Matt W Hayward
- Centre for Conservation Ecology, Nelson Mandela University, Port Elizabeth, South Africa, with the College of Natural Sciences, Bangor University, Bangor, United Kingdom, and with the School of Environmental and Life Sciences, the University of Newcastle, Callaghan, New South Wales, Australia
| | - Nigel E Hussey
- Department of Biological Sciences, the University of Windsor, Windsor, Ontario, Canada
| | - Sara J Iverson
- Ocean Tracking Network, Dalhousie University, Halifax, Nova Scotia, Canada
- Department of Biology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Roland Kays
- Department of Forestry and Environmental Resources, North Carolina State University, and with the North Carolina Museum of Natural Sciences, both in Raleigh, North Carolina
| | - Steven T Kessel
- Daniel P. Haerther Center for Conservation and Research, the John G. Shedd Aquarium, Chicago, Illinois
| | - Clive Mcmahon
- Department of Biological Sciences, Macquarie University, North Ryde, New South Wales, Australia
| | - Monica Muelbert
- Instituto de Oceanografia, Rio Grande, Rio Grande de Sul, Brazil
| | - Taryn S Murray
- South African Institute for Aquatic Biodiversity, Grahamstown, South Africa
| | - Vivian M Nguyen
- Institute of Environmental and Interdisciplinary Science and the Department of Biology, Carleton University, Ottawa, Ontario, Canada
| | - Jonathan D Pye
- Ocean Tracking Network, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Dominique G Roche
- Fish Ecology and Conservation Physiology Laboratory, Department of Biology, Carleton University, Ottawa, Ontario, Canada
- Institute of Biology, the University of Neuchâtel, Neuchâtel, Switzerland
| | - Frederick G Whoriskey
- Ocean Tracking Network, Dalhousie University, Halifax, Nova Scotia, Canada
- Department of Biology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Nathan Young
- Department of Sociology and Anthropology, University of Ottawa, Ottawa, Ontario, Canada
| | - Steven J Cooke
- Fish Ecology and Conservation Physiology Laboratory, Department of Biology, Carleton University, Ottawa, Ontario, Canada
- Institute of Environmental and Interdisciplinary Science and the Department of Biology, Carleton University, Ottawa, Ontario, Canada
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21
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Rowley JJL, Callaghan CT. The FrogID dataset: expert-validated occurrence records of Australia's frogs collected by citizen scientists. Zookeys 2020; 912:139-151. [PMID: 32123502 PMCID: PMC7040047 DOI: 10.3897/zookeys.912.38253] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2019] [Accepted: 01/09/2020] [Indexed: 11/12/2022] Open
Abstract
This dataset represents expert-validated occurrence records of calling frogs across Australia collected via the national citizen science project FrogID (http://www.frogid.net.au). FrogID relies on participants recording calling frogs using smartphone technology, after which point the frogs are identified by expert validators, resulting in a database of georeferenced frog species records. This dataset represents one full year of the project (10 November 2017-9 November 2018), including 54,864 records of 172 species, 71% of the known frog species in Australia. This is the first instalment of the dataset, and we anticipate providing updated datasets on an annual basis.
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Affiliation(s)
- Jodi J L Rowley
- Australian Museum Research Institute, Australian Museum, 1 William Street, Sydney, New South Wales 2010, Australia Australian Museum Research Institute Sydney Australia.,Centre for Ecosystem Science, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, New South Wales 2052, Australia University of New South Wales Sydney Australia
| | - Corey T Callaghan
- Centre for Ecosystem Science, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, New South Wales 2052, Australia University of New South Wales Sydney Australia
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22
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Blümel I, Drees B, Hauschke C, Heller L, Tullney M. Open Science und die Bibliothek – Aktionsfelder und Berufsbild. MITTEILUNGEN DER VEREINIGUNG ÖSTERREICHISCHER BIBLIOTHEKARINNEN UND BIBLIOTHEKARE 2019. [DOI: 10.31263/voebm.v72i2.2808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
Eine durch die Digitalisierung veränderte und auf Open Science ausgerichtete Wissenschaftspraxis benötigt angepasste Infrastrukturen und Services. Daraus ergeben sich verschiedene neue oder veränderte Aktionsfelder für wissenschaftliche Bibliotheken und Infrastruktureinrichtungen. Zu nennen sind zum Beispiel die nicht-textuellen Materialien wie Forschungsdaten, AV-Medien oder Software und die Umsetzung der FAIR-Prinzipien. Hinzu kommen neue Aufgaben im Bereich der Forschungsinformationen, zum Beispiel in der Unterstützung institutioneller Forschungsinformationssysteme, die Gestaltung von Open Access, die Unterstützung kollaborativen wissenschaftlichen Arbeitens sowie die Schaffung von offenen Infrastrukturen. In diesem Artikel werden diese Felder kurz vorgestellt und sich daraus abzeichnende Anforderungen an das bibliothekarische Berufsbild skizziert.
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23
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Steven R, Barnes M, Garnett ST, Garrard G, O'Connor J, Oliver JL, Robinson C, Tulloch A, Fuller RA. Aligning citizen science with best practice: Threatened species conservation in Australia. CONSERVATION SCIENCE AND PRACTICE 2019. [DOI: 10.1111/csp2.100] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Affiliation(s)
- Rochelle Steven
- School of Biological SciencesThe University of Queensland St Lucia Queensland Australia
| | - Megan Barnes
- School of Biological SciencesThe University of Queensland St Lucia Queensland Australia
- Department of Natural Resources and Environmental ManagementUniversity of Hawai‘i at Mānoa Honolulu Hawai'i
| | - Stephen T. Garnett
- Research Institute for the Environment and LivelihoodsCharles Darwin University Casuarina Northwest Territories Australia
| | - Georgia Garrard
- ICON Science, School of Global, Urban and Social StudiesRMIT University Melbourne Victoria Australia
| | | | - Jessica L. Oliver
- School of Electrical Engineering and Computer ScienceQueensland University of Technology Brisbane Queensland Australia
| | - Cathy Robinson
- Land and Water, CSIRO Brisbane Queensland Australia
- Northern InstituteCharles Darwin University Casuarina Northwest Territories Australia
| | - Ayesha Tulloch
- Desert Ecology Research Group, School of Life and Environmental SciencesUniversity of Sydney Sydney New South Wales Australia
- School of Earth and Environmental SciencesThe University of Queensland St. Lucia Queensland Australia
- Wildlife Conservation SocietyGlobal Conservation Program Bronx New York
| | - Richard A. Fuller
- School of Biological SciencesThe University of Queensland St Lucia Queensland Australia
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24
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Minderman J, Cusack JJ, Duthie AB, Jones IL, Pozo RA, Rakotonarivo OS, Bunnefeld N. Decision trees for data publishing may exacerbate conservation conflict. Nat Ecol Evol 2019; 3:318. [PMID: 30742102 DOI: 10.1038/s41559-019-0804-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Jeroen Minderman
- ConFooBio, Biological & Environmental Sciences, University of Stirling, Stirling, UK.
| | - Jeremy J Cusack
- ConFooBio, Biological & Environmental Sciences, University of Stirling, Stirling, UK
| | - A Bradley Duthie
- ConFooBio, Biological & Environmental Sciences, University of Stirling, Stirling, UK
| | - Isabel L Jones
- ConFooBio, Biological & Environmental Sciences, University of Stirling, Stirling, UK
| | - Rocío A Pozo
- ConFooBio, Biological & Environmental Sciences, University of Stirling, Stirling, UK
| | | | - Nils Bunnefeld
- ConFooBio, Biological & Environmental Sciences, University of Stirling, Stirling, UK
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25
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Tulloch AIT, Auerbach N, Avery-Gomm S, Dickman CR, Fisher DO, Grantham H, Holden MH, Lavery TH, Leseberg NP, O'Connor J, Roberson L, Smyth AK, Stone Z, Tulloch V, Turak E, Watson JEM, Wardle GM. Reply to 'Consider species specialism when publishing datasets' and 'Decision trees for data publishing may exacerbate conservation conflict'. Nat Ecol Evol 2019; 3:320-321. [PMID: 30742103 DOI: 10.1038/s41559-019-0805-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Ayesha I T Tulloch
- School of Earth and Environmental Sciences, The University of Queensland, St. Lucia, Queensland, Australia. .,Wildlife Conservation Society, Global Conservation Program, Bronx, NY, USA. .,Desert Ecology Research Group, School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, Australia.
| | - Nancy Auerbach
- School of Biological Sciences, The University of Queensland, St. Lucia, Queensland, Australia
| | - Stephanie Avery-Gomm
- School of Biological Sciences, The University of Queensland, St. Lucia, Queensland, Australia.,Australian Research Council Centre of Excellence for Environmental Decisions, University of Queensland, St. Lucia, Queensland, Australia
| | - Chris R Dickman
- Desert Ecology Research Group, School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, Australia
| | - Diana O Fisher
- School of Biological Sciences, The University of Queensland, St. Lucia, Queensland, Australia
| | - Hedley Grantham
- Wildlife Conservation Society, Global Conservation Program, Bronx, NY, USA
| | - Matthew H Holden
- School of Biological Sciences, The University of Queensland, St. Lucia, Queensland, Australia
| | - Tyrone H Lavery
- Biodiversity Institute, University of Kansas, Lawrence, KS, USA
| | - Nicholas P Leseberg
- School of Earth and Environmental Sciences, The University of Queensland, St. Lucia, Queensland, Australia
| | | | - Leslie Roberson
- School of Biological Sciences, The University of Queensland, St. Lucia, Queensland, Australia
| | - Anita K Smyth
- Terrestrial Ecosystem Research Network (TERN), The University of Adelaide, Adelaide, South Australia, Australia
| | - Zoe Stone
- School of Earth and Environmental Sciences, The University of Queensland, St. Lucia, Queensland, Australia
| | - Vivitskaia Tulloch
- School of Biological Sciences, The University of Queensland, St. Lucia, Queensland, Australia
| | - Eren Turak
- NSW Office of Environment and Heritage, Sydney, New South Wales, Australia.,Australian Museum, Sydney, New South Wales, Australia
| | - James E M Watson
- School of Earth and Environmental Sciences, The University of Queensland, St. Lucia, Queensland, Australia.,Wildlife Conservation Society, Global Conservation Program, Bronx, NY, USA
| | - Glenda M Wardle
- Desert Ecology Research Group, School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, Australia
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26
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27
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Suárez-Villota EY, Quercia CA, Díaz LM, Vera-Sovier V, Nuñez JJ. Speciation in a biodiversity hotspot: Phylogenetic relationships, species delimitation, and divergence times of Patagonian ground frogs from the Eupsophus roseus group (Alsodidae). PLoS One 2018; 13:e0204968. [PMID: 30543633 PMCID: PMC6292574 DOI: 10.1371/journal.pone.0204968] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2018] [Accepted: 11/27/2018] [Indexed: 11/19/2022] Open
Abstract
The alsodid ground frogs of the Eupsophus genus are divided into two groups, the roseus (2n = 30) and vertebralis (2n = 28), which are distributed throughout the temperate Nothofagus forests of South America. Currently, the roseus group is composed by four species, while the vertebralis group consists of two. Phylogenetic relationships and species delimitation within each group are controversial. In fact, previous analyses considered that the roseus group was composed of between four to nine species. In this work, we evaluated phylogenetic relationships, diversification times, and species delimitation within the roseus group using a multi-locus dataset. For this purpose, mitochondrial (D-loop, Cyt b, and COI) and nuclear (POMC and CRYBA1) partial sequences from 164 individuals were amplified, representing all species. Maximum Likelihood (ML) and Bayesian approaches were used to reconstruct phylogenetic relationships. Species tree was estimated using BEAST and singular value decomposition scores for species quartets (SVDquartets). Species limits were evaluated with six coalescent approaches. Diversification times were estimated using mitochondrial and nuclear rates with LogNormal relaxed clock in BEAST. Nine well-supported monophyletic lineages were recovered in Bayesian, ML, and SVDquartets, including eight named species and a lineage composed by specimens from the Villarrica population (Bootstrap:>70, PP:> 0.99). Single-locus species delimitation analyses overestimated the species number in E. migueli, E. calcaratus, and E. roseus lineages, while multi-locus analyses recovered as species the nine lineages observed in phylogenetic analyses (Ctax = 0.69). It is hypothesized that Eupsophus diversification occurred during Mid-Pleistocene (0.42-0.14 Mya), with most species having originated after the Last Southern Patagonian Glaciation (0.18 Mya). Our results revitalize the hypothesis that the E. roseus group is composed of eight species and support the Villarrica lineage as a new putative species.
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Affiliation(s)
| | - Camila A. Quercia
- Instituto de Ciencias Marinas y Limnológicas, Universidad Austral de Chile, Valdivia, Chile
| | - Leila M. Díaz
- Instituto de Ciencias Marinas y Limnológicas, Universidad Austral de Chile, Valdivia, Chile
| | - Victoria Vera-Sovier
- Instituto de Ciencias Marinas y Limnológicas, Universidad Austral de Chile, Valdivia, Chile
| | - José J. Nuñez
- Instituto de Ciencias Marinas y Limnológicas, Universidad Austral de Chile, Valdivia, Chile
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Fairness and Transparency Are Required for the Inclusion of Privately Protected Areas in Publicly Accessible Conservation Databases. LAND 2018. [DOI: 10.3390/land7030096] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
There is a growing recognition of the contribution that privately-owned land makes to conservation efforts, and governments are increasingly counting privately protected areas (PPAs) towards their international conservation commitments. The public availability of spatial data on countries’ conservation estates is important for broad-scale conservation planning and monitoring and for evaluating progress towards targets. Yet there has been limited consideration of how PPA data is reported to national and international protected area databases, particularly whether such reporting is transparent and fair (i.e., equitable) to the landholders involved. Here we consider PPA reporting procedures from three countries with high numbers of PPAs—Australia, South Africa, and the United States—illustrating the diversity within and between countries regarding what data is reported and the transparency with which it is reported. Noting a potential tension between landholder preferences for privacy and security of their property information and the benefit of sharing this information for broader conservation efforts, we identify the need to consider equity in PPA reporting processes. Unpacking potential considerations and tensions into distributional, procedural, and recognitional dimensions of equity, we propose a series of broad principles to foster transparent and fair reporting. Our approach for navigating the complexity and context-dependency of equity considerations will help strengthen PPA reporting and facilitate the transparent integration of PPAs into broader conservation efforts.
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