| Literature DB >> 30224814 |
W Daniel Kissling1, Ramona Walls2, Anne Bowser3, Matthew O Jones4, Jens Kattge5,6, Donat Agosti7, Josep Amengual8, Alberto Basset9, Peter M van Bodegom10, Johannes H C Cornelissen11, Ellen G Denny12, Salud Deudero13, Willi Egloff7, Sarah C Elmendorf14,15, Enrique Alonso García16, Katherine D Jones14, Owen R Jones17, Sandra Lavorel18, Dan Lear19, Laetitia M Navarro6,20, Samraat Pawar21, Rebecca Pirzl22, Nadja Rüger6,23, Sofia Sal21, Roberto Salguero-Gómez24,25,26,27, Dmitry Schigel28, Katja-Sabine Schulz29, Andrew Skidmore30,31, Robert P Guralnick32.
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.Mesh：
Year: 2018 PMID： 30224814 DOI： 10.1038/s41559-018-0667-3
Source DB: PubMed Journal: Nat Ecol Evol ISSN： 2397-334X Impact factor: 15.460