The Saleska Lab

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Lab News

3/13/2017 – Scott Saleska joins 30 Climate Scientists in letter correcting EPA chief Scott Pruitt
30 leading scientists (led by Nobel laureate Mario Molina, and including 3 from U. of Arizona: Scott Saleska, Jonathan Overpeck, Joellen Russell) respond to EPA chief Scott Pruitt's doubt that human-emitted CO2 is a cause of warming. See coverage in the Washington Post.
3/2/2017: From our friends in Manaus: plant community composition tells of influences of pre-columbian humans on Amazonian forests
INPA Ph.D. student Carolina Levis and her mentor Flávia Costa lead 100+ authors in this novel analysis in the March 3, 2017 issue of Science, concluding: "modern tree communities in Amazonia are structured to an important extent by a long history of plant domestication by Amazonian peoples"
1/26/17 – Rick Wehr’s work with Roisin Commane, using carbonyl sulfide as a tracer of forest canopy conductance & transpiration, is out in Biogeosciences
We used measurements of carbonyl sulfide, a structural analog to CO2 that is also taken up by leaves, as a tracer to validate measurements of the transpiration and evaporation of a whole forest. We discovered, surprisingly, that evaporation peaks at the time of year when the soil is dry and the air is moist. This pattern makes physical sense but is not captured by current ecosystem models.
1/3/2017 Rick Wehr’s work on the long-solved problem of the best-fit straight line is out in Biogeosciences
The long-solved problem of the best-fit straight line:application to isotopic mixing lines by Richard Wehr and Scott Saleska Scientists in a wide variety of disciplines are commonly confronted with the problem of how to fit a straight line to data points that were measured with uncertainty in both X and Y. Much of the scientific(...)
7/6/2016 – Jin Wu’s work on tropical leaf traits, spectra and age out in New Phytologist
Showing that leaf spectra can predict leaf ages from leaf reflectance spectra across two contrasting forests in Peru and Brazil and across diverse canopy environments. This work suggests that fundamental rules link leaf traits to leaf environments, and constrain the development of optically-detectable leaf traits and allow for general prediction of leaf age from spectra across species, sites and canopy environments.