Figures
Predator behavior can be identified in prey large-scale spatial patterns
Large-scale spatial pattern emerging from interactions between simulated phytoplankton (green) and zooplankton (red) populations. Specifically, this image merges snapshots for the density of each population (darker color represents higher density), resulting from population-level equations that we deduced by scaling-up an individual-level phytoplankton-zooplankton model. All together, our framework and scaling procedure reveal that signatures of predator individual-level behavior can be observed and quantified in prey large-scale spatial patterns. Colombo et al. 2026
Image Credit: Eduardo Colombo
Citation: (2026) PLoS Computational Biology Issue Image | Vol. 22(7) August 2026. PLoS Comput Biol 22(7): ev22.i07. https://doi.org/10.1371/image.pcbi.v22.i07
Published: August 7, 2026
Copyright: © 2026 . This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Large-scale spatial pattern emerging from interactions between simulated phytoplankton (green) and zooplankton (red) populations. Specifically, this image merges snapshots for the density of each population (darker color represents higher density), resulting from population-level equations that we deduced by scaling-up an individual-level phytoplankton-zooplankton model. All together, our framework and scaling procedure reveal that signatures of predator individual-level behavior can be observed and quantified in prey large-scale spatial patterns. Colombo et al. 2026
Image Credit: Eduardo Colombo