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Conservation of biodiversity through taxonomy,data publication,and collaborative infrastructures
Authors:Mark J Costello  Bart Vanhoorne  Ward Appeltans
Institution:1. Institute of Marine Science, University of Auckland, Auckland, New Zealand;2. Flanders Marine Institute, Ostend, Belgium;3. Ocean Biogeographic Information System, IODE, Intergovernmental Oceanographic Commission, UNESCO, Ostend, Belgium
Abstract:Taxonomy is the foundation of biodiversity science because it furthers discovery of new species. Globally, there have never been so many people involved in naming species new to science. The number of new marine species described per decade has never been greater. Nevertheless, it is estimated that tens of thousands of marine species, and hundreds of thousands of terrestrial species, are yet to be discovered; many of which may already be in specimen collections. However, naming species is only a first step in documenting knowledge about their biology, biogeography, and ecology. Considering the threats to biodiversity, new knowledge of existing species and discovery of undescribed species and their subsequent study are urgently required. To accelerate this research, we recommend, and cite examples of, more and better communication: use of collaborative online databases; easier access to knowledge and specimens; production of taxonomic revisions and species identification guides; engagement of nonspecialists; and international collaboration. “Data‐sharing” should be abandoned in favor of mandated data publication by the conservation science community. Such a step requires support from peer reviewers, editors, journals, and conservation organizations. Online data publication infrastructures (e.g., Global Biodiversity Information Facility, Ocean Biogeographic Information System) illustrate gaps in biodiversity sampling and may provide common ground for long‐term international collaboration between scientists and conservation organizations.
Keywords:data access  online databases  species discovery  taxonomic revision  acceso a datos  bases de datos en lí  nea  descubrimiento de especies  revisió  n taxonó  mica
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