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Towards global data products of Essential Biodiversity Variables on species traits

  • W Daniel Kissling
  • , Ramona Walls
  • , Anne Bowser
  • , Matthew O Jones
  • , Jens Kattge
  • , Donat Agosti
  • , Josep Amengual
  • , Alberto Basset
  • , Peter M van Bodegom
  • , Johannes H C Cornelissen
  • , Ellen G Denny
  • , Salud Deudero
  • , Willi Egloff
  • , Sarah C Elmendorf
  • , Enrique Alonso García
  • , Katherine D Jones
  • , Owen R Jones
  • , Sandra Lavorel
  • , Dan Lear
  • , Laetitia M Navarro
  • Samraat Pawar, Rebecca Pirzl, Nadja Rüger, Sofia Sal, Roberto Salguero-Gómez, Dmitry Schigel, Katja-Sabine Schulz, Andrew Skidmore, Robert P Guralnick
  • University of Amsterdam
  • University of Arizona
  • Woodrow Wilson International Center for Scholars, Washington DC, USA.
  • University of Montana
  • German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig
  • Plazi, Bern, Switzerland.
  • Area de Conservacion, Seguimiento y Programas de la Red, Organismo Autonomo Parques Nacionales, Ministerio de Agricultura y Pesca, Madrid, Spain.
  • University of Salento
  • Leiden University
  • Vrije University Amsterdam
  • Instituto Español de Oceanografía, Centro Oceanográfico de Baleares, Palma de Mallorca, Spain.
  • University of Colorado
  • University of Alcalá
  • National Ecological Observatory Network, Battelle Ecology, Boulder, CO, USA.
  • University of Grenoble
  • The Marine Biological Association of the United Kingdom
  • Martin Luther University Halle-Wittenberg
  • Imperial College London
  • CSIRO Commonwealth Scientific and Industrial Research Organisation
  • Smithsonian Tropical Research Institute
  • Max Planck Institute for Demographic Research
  • Global Biodiversity Information Facility
  • Smithsonian National Museum of Natural History
  • Macquarie University
  • University of Florida

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Abstract

Essential Biodiversity Variables (EBVs) allow observation and reporting of global biodiversity change, but a detailed framework for the empirical derivation of specific EBVs has yet to be developed. Here, we re-examine and refine the previous candidate set of species traits EBVs and show how traits related to phenology, morphology, reproduction, physiology and movement can contribute to EBV operationalization. The selected EBVs express intra-specific trait variation and allow monitoring of how organisms respond to global change. We evaluate the societal relevance of species traits EBVs for policy targets and demonstrate how open, interoperable and machine-readable trait data enable the building of EBV data products. We outline collection methods, meta(data) standardization, reproducible workflows, semantic tools and licence requirements for producing species traits EBVs. An operationalization is critical for assessing progress towards biodiversity conservation and sustainable development goals and has wide implications for data-intensive science in ecology, biogeography, conservation and Earth observation.

OriginalsprogEngelsk
TidsskriftNature Ecology & Evolution
Vol/bind2
Udgave nummer10
Sider (fra-til)1531-1540
ISSN2397-334X
DOI
StatusUdgivet - 1. okt. 2018

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