Towards global data products of Essential Biodiversity Variables on species traits

W. Daniel Kissling (Corresponding Author), 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. NavarroSamraat Pawar, Rebecca Pirzl, Nadja Rüger, Sofia Sal, Roberto Salguero-gómez, Dmitry Schigel, Katja-sabine Schulz, A.K. Skidmore, Robert P. Guralnick

Research output: Contribution to journalArticleAcademicpeer-review

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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.
Original languageEnglish
Pages (from-to)1531-1540
Number of pages10
JournalNature Ecology & Evolution
Volume2
Early online date17 Sept 2018
DOIs
Publication statusPublished - 1 Oct 2018

Keywords

  • ITC-ISI-JOURNAL-ARTICLE
  • ITC-HYBRID

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