How to be a good reviewer (a view from an editor) I’m on the editorial board of two journals and over the years have seen many reviews come in. What I have been impressed with is the overall quality of the reviews. Many of you are excellent and constructive reviewers. I have consistently learned from you on how to be a […]
“Biological research is in crisis…. Technology gives us the tools to analyze organisms at all scales, but we are drowning in a sea of data and thirsting for some theoretical framework with which to understand it.” – Sydney Brenner. 2012 “The harmony of the world is made manifest in form and number, and the heart and soul and all the poetry […]
How much can a leaf tell you about the environment in which is grows? Can ecology become more predictive? We have been working on a variety of approaches to assess the ‘predictive nature’ of leaves. The idea is that that the constellation of traits that define a leaf actually reflect a set of coordinated shifts to maximize carbon gain and minimize […]
UA professor Brian Enquist and postdoctoral researcher Sean Michaletz, along with collaborators Dongliang Cheng from Fujian Normal University in China and Drew Kerkhoff from Kenyon College in Gambier, Ohio, have combined a new mathematical theory with data from more than 1,000 forests across the world to show that climate has a relatively minor direct effect on net primary productivity, or the amount of […]
Angert AL, SN Sheth, and JR Paul. 2011. Incorporating population variation in thermal performance into geographic range shift predictions. Integrative and Comparative Biology, “Therefore, species-level projections of distribution might overestimate the species’ ability to persist at any given location. However, current approaches to modeling distributions often do not consider variation among populations. Here, we estimated genetically-based differences in thermal performance curves for growth among 12 populations of the scarlet monkeyflower, Mimulus cardinalis, a perennial herb of western North America. We inferred the maximum relative growth rate (RGRmax), temperature optimum (Topt), and temperature breadth (Tbreadth) for each population. We used these data to test for tradeoffs in thermal performance, generate mechanistic population-level projections of distribution under current and future climates”
Chasing after the wind: Sharing science with a green twist
UNIVERSITY OF ARIZONA - SFI: Synthesizing Functional Biology, Ecophysiology, Community Ecology, Evolutionary Biology & Biodiversity Science
Research, teaching, and mentorship in the sciences
Ethan White and Morgan Ernest's blog for discussing issues and ideas related to ecology and academia.
UNIVERSITY OF ARIZONA - SFI: Synthesizing Functional Biology, Ecophysiology, Community Ecology, Evolutionary Biology & Biodiversity Science
Multa novit vulpes
Blog of the Division of Environmental Biology, NSF
The Grandeur in this View of Life
