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Biology subjects

Kiflawi, M.

Publications and source records attributed to Kiflawi, M..

2 recordsLinked to original sources

Schooling Of Light Reflecting Fish

One of the hallmarks of the collective movement of large schools of pelagic fish are waves of shimmering flashes that propagate across the school, usually following an attack by a predator. Such flashes arise when sunlight is reflected off the specular (mirror-like) skin that characterizes many pelagic fishes, where it is otherwise thought to offer a means for camouflage in open waters. While it has been suggested that these shimmering waves are a visual manifestation of the synchronized escape response of the fish, the phenomenon has been regarded only as an artifact of esthetic curiosity. In this study we apply agent-based simulations and deep learning techniques to show that, in fact, shimmering waves contain information on the behavioral dynamics of the school. Our analyses are based on a model that combines basic rules of collective motion and the propagation of light beams in the ocean, as they hit and reflect off the moving fish. We use the resulting reflection patterns to infer the essential dynamics and inter-individual interactions which are necessary to generate shimmering waves. Using an artificial neural network, trained to classify the direction of attack and the shape of the school based only on the flashes, we also provide a proof-of-concept, showing that flash patterns are indeed indicative of the state and dynamics of the school and the individuals composing it. Moreover, we show that light flashes observed by the school members themselves extends the range at which information can be communicated across the school. To the extent that the fish pay heed to this information, for example by entering an apprehensive state of reduced response-time, our analysis suggests that it may speed up the propagation of information across the school.

animal behavior and cognition↗

A complex performance landscape for suction-feeding reveals constraints and adaptations in a population of reef damselfish

The ability to predict how multiple traits interact in determining performance is key to understanding the evolution of complex functional systems. Similar to Simpsons adaptive landscape, which describes the fitness consequences of varying morphological traits, performance landscapes depict the performance consequences of varying morphological traits. Mapping the populations location with respect to the topographic features of the landscape could inform us on the selective forces operating on the traits that underlie performance. Here, we used a mechanistic model derived from first principles of hydrodynamics to construct a hypothetical performance landscape for zooplankton prey capture using suction feeding. We then used the landscape to test whether a population of Chromis viridis, a coral reef zooplanktivore, is located on a performance peak or ridge based on measurements of kinematic variables recorded in-situ during undisturbed foraging. Observed trait combinations in the wild population closely matched regions of high feeding performance in the landscape, however the population was not located on a local performance peak. This sub-optimal performance was not due to constraints stemming from the observed trait correlations. The predominant directions of variation of the phenotypic traits was tangent to the path of steepest ascent that points towards the local peak, indicating that the population does not reside on a \"performance ridge\". Rather, our analysis suggests that feeding performance is constrained by stabilizing selection, possibly reflecting a balance between selection on feeding performance and mechanical or genetic constraints.

evolutionary biology↗