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 & 9 others Samraat Pawar, Rebecca Pirzl, Nadja Rüger, Sofia Sal, Roberto Salguero-Gómez, Dmitry Schigel, Katja-Sabine Schulz, Andrew Skidmore, Robert P. Guralnick

*Corresponding author for this work

    Research output: Contribution to journalArticle

    50 Citations (Scopus)
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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 and Evolution
    Volume2
    Issue number10
    DOIs
    Publication statusPublished - Oct 2018

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