My research focus is the study of complexity in ecology. I apply tools from fields outside of biology, such as engineering or physics, to uncover patterns in empirical data and explore their ecological and evolutionary consequences.
- Cagua EF., Wootton KL. and Stouffer DB. (2019) Keystoneness, centrality, and the structural controllability of ecological networks. Journal of Ecology http://dx.doi.org/10.1111/1365-2745.13147.
- Gravel D., Baiser B., Dunne JA., Kopelke JP., Martinez ND., Nyman T., Poisot T., Stouffer DB., Tylianakis JM. and Wood SA. (2019) Bringing Elton and Grinnell together: a quantitative framework to represent the biogeography of ecological interaction networks. Ecography 42(3): 401-415. http://dx.doi.org/10.1111/ecog.04006.
- Hutchinson MC., Bramon Mora B., Pilosof S., Barner AK., Kéfi S., Thébault E., Jordano P. and Stouffer DB. (2019) Seeing the forest for the trees: Putting multilayer networks to work for community ecology. Functional Ecology 33(2): 206-217. http://dx.doi.org/10.1111/1365-2435.13237.
- Letten AD. and Stouffer DB. (2019) The mechanistic basis for higher-order interactions and non-additivity in competitive communities.. Ecology Letters 22(3): 423-436. http://dx.doi.org/10.1111/ele.13211.
- Mora BB., Dalla Riva GV. and Stouffer DB. (2019) Unmasking structural patterns in incidence matrices: An application to ecological data. Journal of the Royal Society Interface 16(151) http://dx.doi.org/10.1098/rsif.2018.0747.
Biological scientist Dr Daniel Stouffer has been awarded the inaugural UC Early and Emerging Career Researcher Award. He is a theoretical ecologist whose research focuses on species-species interaction networks.