Welcome to the Global Biotraits Database.

This is an online resource for empirical data on how biological traits respond to environmental drivers such as temperature, light, and salinity.

This database represents the largest and most comprehensive database for the thermal responses of physiological and ecological traits, especially consumer-resource interactions. Currently, we have a total of 2445 intraspecific trait response curves from a total of 1508 species.
We expect researchers of diverse disciplines to use these data to shed light on how natural systems respond to environmental drivers.

From this site, users will be able to download available datasets and upload their own data. We hope that this website will become a central portal for the management and accession of data on the thermal responses of biological traits.

We are currently working through a few bugs with the search capibilities, but please feel free to try a search. In the meantime, the full dataset published in Ecology (2013) can be downloaded here.

Work on the website is funded by the NSF grant to Van Savage and

Priyanga Amarasekare.

Please contact us if you have questions, including if you would like to help out or submit data.

Global Biotraits Database team
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What's New
18 September 2013
The Ecological Data Wiki recently mentioned the Global Biotraits Database. Check it out!

9 September 2013
Publication in Ecology of our entire dataset. Be sure to search this site for the most current and complete data.

15 June 2012

Biotraits goes live to the world (still with a few key bugs to fix!)

30 May 2012
Publication in Nature of our paper describing how the dimensionality of consumer search space (i.e., 2D vs. 3D) drives trophic interaction strengths, and ultimately may be responisble for community differences between aquatic and terrestrial habitats.

1 October 2011

Biotraits goes live internally!

23 May 2011
Publication in PNAS of our work on the thermal response of biological and ecological traits. Accompanied by commentary by R.B. Huey & J.G. Kingsolver describing the significance of our paper.

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This material is based upon work supported by the National Science Foundation under Grant Number 1021010. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.