期刊论文详细信息
Frontiers in Applied Mathematics and Statistics
Seven Recommendations to Make Your Invasive Alien Species Data More Useful
line2  De Wever, Aaike3  Groom, Quentin J.5  Roques, Alain6  Charles, Lucinda6  Lucy, Frances7  Tricarico, Elena8  Christopoulou, Anastasia9  Bazos, Ioannis9  Gazda, Anna1,10  Richards, Gareth1,11  Pergl, Jan1,12  Cardoso, Ana Cristina1,13  Petrovic-Obradovic, Olivera1,14  Helmisaari, Harry1,15  Oszako, Tomasz1,16  Hobern, Donald1,17  Trichkova, Teodora1,18  Roy, Helen E.1,18  Vanderhoeven, Sonia1,19  Marisavljevic, Dragana2,20  Adriaens, Tim2,24  Desmet, Peter2,24  Pré2,25  Josefsson, Melanie2,26  Simpson, Annie2,27  Zenetos, Argyro2,29  Scalera, Riccardo2,29  vot, Cé3,30  Vercayie, Diemer3,31  Rozenberg, Marie-Anne A.3,31  Ravn, Hans P.3,32 
[1] degli Studi di Firenze, Firenze, Italy;ÉAquatic and Terrestrial Ecology, Operational Directorate Natural Environment, Royal Belgian Institute of Natural Sciences, Brussels, Belgium;Belgian Biodiversity Platform, Walloon Research Department for Nature and Agricultural Areas, Service Public de Wallonie, Gembloux, Belgium;Botanic Garden Meise, Bouchout Domain, Meise, Belgium;CABI, Nosworthy Way, Wallingford, Oxfordshire, United Kingdom;CERIS, Institute of Technology, Sligo, Ireland;Centre for Ecology and Hydrology, Wallingford, United Kingdom;Department of Ecology and Systematics, Faculty of Biology, National and Kapodistrian University of Athens, Panepistimiopolis, Greece;Department of Forest Biodiversity, University of Agriculture in Krakow, Krakow, Poland;Department of Geosciences and Natural Resource Management, Faculty of Science, University of Copenhagen, Frederiksberg, Denmark;Department of Invasion Ecology, Institute of Botany, The Czech Academy of Sciences, Průhonice, Czechia;EASIN, European Commission Joint Research Centre, European Commission, Joint Research Centre, Ispra, Italy;Faculty of Agriculture, University of Belgrade, Belgrade, Serbia;Finnish Environment Institute, Helsinki, Finland;Forest Research Institute, Raszyn, Poland;Global Biodiversity Information Facility, Copenhagen, Denmark;INRA, UR633, Zoologie ForestièIUCN SSC Invasive Species Specialist Group, Rome, Italy;Institute for Plant Protection and Environment, Belgrade, Serbia;Institute of Biodiversity and Ecosystem Research, Bulgarian Academy of Sciences, Sofia, Bulgaria;Institute of Marine Biological Resources and Inland Waters, HCMR, Anavyssos, Greece;Natuurpunt, Mechelen, Belgium;Research Institute for Nature and Forest, Brussels, Belgium;SPW-DEMNA, DéSwedish Environmental Protection Agency, Stockholm, Sweden;U.S. Geological Survey, Core Science Analytics, Synthesis, and Libraries Program, Reston, VA, United States;Universitàans, France;partement de l're, Orlétude du Milieu Naturel et Agricole, Gembloux, Belgium
关键词: CHECKLISTS;    Data interoperability;    Data Management Plan;    Introduced Species;    Non-indigenous;    non-native;    Pest species;    Standards;   
DOI  :  10.3389/fams.2017.00013
学科分类:数学(综合)
来源: Frontiers
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【 摘 要 】

Science-based strategies to tackle biological invasions depend on recent, accurate, well-documented, standardised and openly accessible information on alien species. Currently and historically, biodiversity data are scattered in numerous disconnected data silos that lack interoperability. The situation is no different for alien species data, and this obstructs efficient retrieval, combination, and use of these kinds of information for research and policy-making. Standardization and interoperability are particularly important as many alien species related research and policy activities require pooling data. We describe seven ways that data on alien species can be made more accessible and useful: 1) Create data management plans; 2) Increase interoperability of information sources; 3) Document data through metadata; 4) Format data using existing standards; 5) Adopt controlled vocabularies; 6) Increase data availability; and 7) Ensure long-term data preservation. We identify four properties specific and integral to alien species data (species status, introduction pathway, degree of establishment, and impact mechanism) that are either missing from existing data standards or lack a recommended controlled vocabulary. Improved access to accurate, real-time and historical data will repay the long-term investment in data management infrastructure, by providing more accurate, timely and realistic analyses. If we improve core biodiversity data standards by developing their relevance to alien species, it will allow the automation of common activities regarding data processing in support of environmental policy. Furthermore, we call for considerable effort to maintain, update, standardise, archive, and aggregate datasets, to ensure proper valorisation of alien species data and information before they become obsolete or lost.

【 授权许可】

CC BY   

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