A trait-based approach for predicting species responses to environmental change from sparse data : how well might terrestrial mammals track climate change?

Funded by COST (European Cooperation in Science and Technology) CEH projects. Grant Numbers: NEC05264, NEC05100 Natural Environment Research Council UK. Grant Number: NE/J008001/1 © 2016 The Authors. Global Change Biology Published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Plant ionomics : From elemental profiling to environmental adaptation

FUNDING UK Biotechnology and Biological Sciences Research Council grant BB/L027739/1 and BB/L000113/1 (to D.E.S.), the US National Institutes of Health grant 2R01GM078536 (to D.E.S.), and the US National Science Foundation grant IOB 0419695 (to D.E.S.) ACKNOWLEDGMENTS We wish to thank our collaborators Mary Lou Guerinot, Niko Geldner, and Christian Hermans for kindly allowing us to incorporate in this update unpublished data on BRUTUS, SGN1, and SGN3, respectively. We also thank Mary Lou Guerinot, Niko Geldner, Takehiro Kamiya, and the ERACAPS Root Barrier project for productive discussions relating to ionomics and the plant ionome. No conflict of interest declared.