Ecological dynamics

We use experiments, meta-analyses, and mathematical models to understand how organismal behavior and decision-making affects the dynamics of ecological systems. One major objective of this work is to develop modeling tools to allow ecosystem policy makers to better incorporate behavioral responses into policy decisions aimed at coping with changing climate, land, and water use.

Some specific topics are:

Changing riverscapes and fish migrations

Behavioral feedbacks and ecosystem dynamics  (w/ Steve Munch, Marissa Baskett)

Information limitation and interaction rates (w/Ben Martin)

Topology and flux structures of assembling food webs (experimental work with Ashkaan Fahimipour)

Global gradients of food web structure (empirical/theoretical work with Adrian Stier, Michel Kulbicki and Valeriano Parravicini)

Papers in this area are:

Olivetti, S, MA Gil, VK Sridharan, AM Hein. 2021Merging computational fluid dynamics and machine learning to reveal animal migration strategies. Methods Ecol. Evol.

Gil, Baskett, Munch, & Hein. 2020Fast behavioral feedbacks make ecosystems sensitive to pace and not just magnitude of environmental change. PNAS.

Brumley, Carrara, Hein, Hagstrom, Levin, Stocker. 2020Cutting through the noise: bacterial chemotaxis in marine microenvironments. Frontiers in Marine Science.

Hein, Martin. 2020Information limitation and the dynamics of coupled ecological systems. Nature Ecology & Evolution.

Gil, Hein, Spiegel, Baskett, Sih. 2018Social information can link individual behavior to ecological dynamics. Trends Ecol. Evol.

Gil, Hein. 2017. Social interactions among grazing reef fish drive material flux in a coral reef ecosystem. PNAS.

Stier, Hein, Parravicini, Kulbicki. 2014. Larval dispersal drives trophic structure across Pacific coral reefs. Nature Communications.

Fahimipour, A and A M Hein. 2014. The dynamics of assembling food webs. Ecology Letters.

Hein, A M and J F Gillooly. 2011. Predators, prey, and transient states in the assembly of spatially structured communities. Ecology.