Cryptic population dynamics: Rapid evolution masks trophic interactions

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Abstract

Trophic relationships, such as those between predator and prey or between pathogen and host, are key interactions linking species in ecological food webs. The structure of these links and their strengths have major consequences for the dynamics and stability of food webs. The existence and strength of particular trophic links has often been assessed using observational data on changes in species abundance through time. Here we show that very strong links can be completely missed by these kinds of analyses when changes in population abundance are accompanied by contemporaneous rapid evolution in the prey or host species. Experimental observations, in rotifer-alga and phage-bacteria chemostats, show that the predator or pathogen can exhibit large-amplitude cycles while the abundance of the prey or host remains essentially constant. We know that the species are tightly linked in these experimental microcosms, but without this knowledge, we would infer from observed patterns in abundance that the species are weakly or not at all linked. Mathematical modeling shows that this kind of cryptic dynamics occurs when there is rapid prey or host evolution for traits conferring defense against attack, and the cost of defense (in terms of tradeoffs with other fitness components) is low. Several predictions of the theory that we developed to explain the rotifer-alga experiments are confirmed in the phage-bacteria experiments, where bacterial evolution could be tracked. Modeling suggests that rapid evolution may also confound experimental approaches to measuring interaction strength, but it identifies certain experimental designs as being more robust against potential confounding by rapid evolution. © 2007 Yoshida et al.

Figures

  • Figure 1. Experimentally Observed Cycles of Algae (Green) and Rotifer (Red) Populations in a Chemostat System
  • Figure 2. Experimentally Observed Cryptic Population Cycles in Rotifer–Alga Predator–Prey Chemostats
  • Figure 3. Bifurcation Diagram Showing the Parameter Regions where Evolutionary and Cryptic Cycles Result from Rapid Prey Evolution in Model (1)
  • Figure 4. Numerical Solutions of the Chemostat Model Showing Cryptic Cycles Resulting from Rapid Prey Evolution
  • Figure 5. Numerical Solutions of the Chemostat Model with Diploid, Sexually Reproducing Prey
  • Figure 6. Experimentally Observed Cryptic Cycles in Bacteria–Phage Chemostats
  • Figure 7. Simulation of a Predator–PRESS Experiment. We used the Abrams-Matsuda [38] model for this simulation. From time t ¼ 0 to t ¼ 100 the populations are unperturbed and converge to a stable equilibrium with both prey types present. At t¼ 100 the predator population is increased (solid curves) or decreased (dashed curves) and thereafter held constant. (A) The predator (red) and prey (green) total population densities. (B) The separate abundances of the defended (black) and vulnerable (blue) prey genotypes. Decreased predator density gives an advantage to the vulnerable prey type, while increased predator density gives the advantage to the initially rare defended prey type, leading to a large change in total prey density. (C) As in (A), but without prey evolution, i.e., the prey population consisted of a single type having the average characteristics (palatability and birth rate parameter) of the overall steady-state prey population in (A). doi:10.1371/journal.pbio.0050235.g007

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CITATION STYLE

APA

Yoshida, T., Ellner, S. P., Jones, L. E., Bohannan, B. J. M., Lenski, R. E., & Hairston, N. G. (2007). Cryptic population dynamics: Rapid evolution masks trophic interactions. PLoS Biology, 5(9), 1868–1879. https://doi.org/10.1371/journal.pbio.0050235

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