Our understanding of the processes through which species adapt to one another is largely predicated upon the assumption that interactions between species depend on only single traits. However, real interactions, including those with implications for human health and agriculture, inevitably involve multiple traits. The primary reason multiple traits have not been integrated into existing theory is the sheer difficulty of developing and analyzing appropriate mathematical models. The proposed work will overcome existing hurdles by developing powerful new mathematical tools that allow a general theory of multivariate coevolution to be formulated. These tools will be made widely available to the scientific community through presentations at annual meetings and publication of electronic Mathematica appendices.

In addition to significantly advancing our understanding of how species adapt to one another, the proposed work will promote undergraduate and graduate training at the interface of biology and mathematics. A team of students recruited into the University of Idaho's Undergraduates in Biological and Mathematical Sciences program will be trained in basic computational and mathematical approaches through work on this project. Graduate training will be accomplished by immersing a student into the proposed research, resulting in intensive training in advanced mathematical and computational approaches to biological problems.

Agency
National Science Foundation (NSF)
Institute
Division of Environmental Biology (DEB)
Type
Standard Grant (Standard)
Application #
1118947
Program Officer
Samuel M. Scheiner
Project Start
Project End
Budget Start
2011-09-01
Budget End
2014-08-31
Support Year
Fiscal Year
2011
Total Cost
$246,717
Indirect Cost
Name
University of Idaho
Department
Type
DUNS #
City
Moscow
State
ID
Country
United States
Zip Code
83844