Towards global data products of Essential Biodiversity Variables on species traits

W. Daniel Kissling(Institute for Biodiversity), Ramona Walls(University of Arizona), Anne Bowser(Woodrow Wilson International Center for Scholars), Matthew Jones(University of Montana), Jens Kattge(German Centre for Integrative Biodiversity Research), Donat Agosti, Josep Amengual(Organismo Autónomo Parques Nacionales), Alberto Basset(University of Salento), Peter M. van Bodegom(Leiden University), Johannes H. C. Cornelissen(Vrije Universiteit Amsterdam), Ellen G. Denny(University of Arizona), Salud Deudero(Instituto Español de Oceanografía), Willi Egloff, Sarah C. Elmendorf(University of Colorado Boulder), Enrique Alonso García(Universidad de Alcalá), Katherine D. Jones(National Ecological Observatory Network), Owen R. Jones(University of Southern Denmark), Sandra Lavorel(Centre National de la Recherche Scientifique), Dan Lear(Marine Biological Association of the United Kingdom), Laetitia M. Navarro(German Centre for Integrative Biodiversity Research), Samraat Pawar(Imperial College London), Rebecca Pirzl(Commonwealth Scientific and Industrial Research Organisation), Nadja Rüger(Smithsonian Tropical Research Institute), Sofía Sal(Imperial College London), Roberto Salguero‐Gómez(The University of Queensland), Dmitry Schigel(Global Biodiversity Information Facility), Katja Schulz(Smithsonian Institution), Andrew K. Skidmore(University of Twente), Robert Guralnick(Florida Museum of Natural History)
Nature Ecology & Evolution
September 12, 2018
Cited by 222Open Access
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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.


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