All organisms must find and consume resources to live, and the strategies an organism uses when foraging can have significant impacts on their fitness. Models assuming optimality in foraging behavior, and which quantitatively account for the costs, benefits, and biological constraints of foraging, are common in the animal literature. Plant ecologists on the other hand have rarely adopted an explicit framework of optimality with respect to plant root foraging. Here, we show with a simple experiment that the marginal value theorem (MVT), one of the most classic models of animal foraging behavior, can provide novel insights into the root foraging behavior of plants. We also discuss existing data in the literature, which has not usually been linked to MVT to provide further support for the benefits of an optimal foraging framework for plants. As predicted by MVT, plants invest more time and effort into highly enriched patches than they do to low-enriched patches. On the basis of this congruency, and the recent calls for new directions in the plant foraging literature, we suggest plant ecologists should work toward a more explicit treatment of the idea of optimality in studies of plant root foraging. Such an approach is advantageous because it forces a quantitative treatment of the assumptions being made and the constraints on the system. While we believe significant insight can be gained from the use of preexisting models of animal foraging, ultimately plant ecologists will have to develop taxa-specific models that account for the unique biology of plants.optimal foraging ͉ plant behavior ͉ root foraging ͉ root movement ͉ giving up time A ll life must find and consume resources to sustain itself, and there exists a diverse array of solutions to this basic problem (1-6). Although the proximate mechanisms (sensu 7) of resource collection differ among taxa, they are conceptually linked by a common ultimate cause. Natural selection should favor those individuals who are able to forage more efficiently, within certain lineage-specific biological constraints. One approach that has been used to address issues of foraging behavior has been the application of optimality-based models (8-10). Although natural selection is unlikely to produce perfectly optimal individuals (11, 12), animal behaviorists have been successful at predicting and understanding foraging behavior through the use of an explicitly quantitative treatment of the assumption of optimality. Such an approach is advantageous because it forces the researcher to a priori identify the exact costs and benefits that should be associated with different behaviors. It also forces researchers to quantify their assumptions and the biological constraints on behavior. By using an explicitly quantitative approach one gains a precision in the understanding of the system that cannot be achieved with vague references to ''adaptation.'' This precision can shed light on both the proximate and ultimate causes of behavior and lead to new research directions and improved understandi...