TY - JOUR
T1 - Towards global data products of Essential Biodiversity Variables on species traits
AU - Kissling, W. Daniel
AU - Walls, Ramona
AU - Bowser, Anne
AU - Jones, Matthew O.
AU - Kattge, Jens
AU - Agosti, Donat
AU - Amengual, Josep
AU - Basset, Alberto
AU - van Bodegom, Peter M.
AU - Cornelissen, Johannes H.C.
AU - Denny, Ellen G.
AU - Deudero, Salud
AU - Egloff, Willi
AU - Elmendorf, Sarah C.
AU - Alonso García, Enrique
AU - Jones, Katherine D.
AU - Jones, Owen R.
AU - Lavorel, Sandra
AU - Lear, Dan
AU - Navarro, Laetitia M.
AU - Pawar, Samraat
AU - Pirzl, Rebecca
AU - Rüger, Nadja
AU - Sal, Sofia
AU - Salguero-Gómez, Roberto
AU - Schigel, Dmitry
AU - Schulz, Katja Sabine
AU - Skidmore, Andrew
AU - Guralnick, Robert P.
PY - 2018/10
Y1 - 2018/10
N2 - 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.
AB - 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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U2 - 10.1038/s41559-018-0667-3
DO - 10.1038/s41559-018-0667-3
M3 - Article
AN - SCOPUS:85053676382
VL - 2
SP - 1531
EP - 1540
JO - Nature Ecology and Evolution
JF - Nature Ecology and Evolution
IS - October
ER -
