PNAS paper out in early edition

Very excited to announce that my paper on the temperature response of respiration in leaves is now out in PNAS

In brief, high-resolution temperature response curves (over 750 total) were measured in 231 dominant and common plant species from around the globe. We assessed which competing temperature response model best represented how respiration fluxes respond to warming, and found a second order polynomial was the most representative across a wide temperature range. Following that, we grouped species by biome and plant functional type, and found across these groupings, which are often applied in terrestrial biosphere models to estimate carbon fluxes, there were no significant differences in the shape parameters of the curve. In short, all these plants respond to short-term warming in a similar way across biomes and PFTs. We then applied this new model, our "global polynomial model" to the JULES terrestrial biosphere model to assess how it impacted how plant R was modeled compared to the traditional Q10=2 framework. Our model showed decreased leaf R in cold sites and in temperate sites at cold times of year. 

The paper is receiving attention from the press as well. Some clippings below: 

http://www.nst.com.my/news/2016/03/134360/plants-adapt-climate-change-better-many-thought-study

http://www.dailymail.co.uk/wires/afp/article-3503879/Plants-adapt-climate-change-better-thought-study.html

http://www.ldeo.columbia.edu/news-events/scientists-say-many-plants-dont-respond-warming-thought?platform=hootsuite

https://www.scimex.org/newsfeed/the-heat-is-on-researchers-discover-global-patterns-in-plant-responses-to-temperature

Also got some unexpected reddit coverage!
https://www.reddit.com/r/science/comments/4bdusv/scientists_say_many_plants_dont_respond_to/

The author team is comprised of 19 authors (10 different nationalities) representing 12 institutions located in 6 countries; fieldwork occurred in 18 sites in Australia, Peru, Sweden, US, French Guiana, and Costa Rica, and was funded by US, Australian, UK govts. Proud to be part of this diverse team, work with excellent, supportive scientists, and analyze and present data that can hopefully simplify/improve how carbon fluxes are modeled in different ecosystems around the world.