Imperial College London
Alternate

Samraat Pawar

Faculty of Natural Sciences, Department of Life Sciences (Silwood Park)

Professor of Theoretical Ecology
 
 
 
//

Contact

 

+44 (0)20 7594 2213s.pawar CV

 
 
//

Location

 

2.4KennedySilwood Park

//

Summary

 

Publications

Citation

BibTex format

@article{Kissling:2018:10.1038/s41559-018-0667-3,
author = {Kissling, WD and Walls, R and Bowser, A and Jones, MO and Kattge, J and Agosti, D and Amengual, J and Basset, A and van, Bodegom PM and Cornelissen, JHC and Denny, EG and Deudero, S and Egloff, W and Elmendorf, SC and Alonso, García E and Jones, KD and Jones, OR and Lavorel, S and Lear, D and Navarro, LM and Pawar, S and Pirzl, R and Rüger, N and Sal, S and Salguero-Gómez, R and Schigel, D and Schulz, K-S and Skidmore, A and Guralnick, RP},
doi = {10.1038/s41559-018-0667-3},
journal = {Nature Ecology and Evolution},
pages = {1531--1540},
title = {Towards global data products of Essential Biodiversity Variables on species traits},
url = {http://dx.doi.org/10.1038/s41559-018-0667-3},
volume = {2},
year = {2018}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
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.
AU  - Kissling,WD
AU  - Walls,R
AU  - Bowser,A
AU  - Jones,MO
AU  - Kattge,J
AU  - Agosti,D
AU  - Amengual,J
AU  - Basset,A
AU  - van,Bodegom PM
AU  - Cornelissen,JHC
AU  - Denny,EG
AU  - Deudero,S
AU  - Egloff,W
AU  - Elmendorf,SC
AU  - Alonso,García E
AU  - Jones,KD
AU  - Jones,OR
AU  - Lavorel,S
AU  - Lear,D
AU  - Navarro,LM
AU  - Pawar,S
AU  - Pirzl,R
AU  - Rüger,N
AU  - Sal,S
AU  - Salguero-Gómez,R
AU  - Schigel,D
AU  - Schulz,K-S
AU  - Skidmore,A
AU  - Guralnick,RP
DO  - 10.1038/s41559-018-0667-3
EP  - 1540
PY  - 2018///
SN  - 2397-334X
SP  - 1531
TI  - Towards global data products of Essential Biodiversity Variables on species traits
T2  - Nature Ecology and Evolution
UR  - http://dx.doi.org/10.1038/s41559-018-0667-3
UR  - https://www.ncbi.nlm.nih.gov/pubmed/30224814
UR  - http://hdl.handle.net/10044/1/63487
VL  - 2
ER  -
Download