An integrative modeling approach to elucidate suction-feeding performance

2011 ◽  
Vol 215 (1) ◽  
pp. 1-13 ◽  
Author(s):  
R. Holzman ◽  
D. C. Collar ◽  
R. S. Mehta ◽  
P. C. Wainwright
2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Geoffroy Berthelot ◽  
Avner Bar-Hen ◽  
Adrien Marck ◽  
Vincent Foulonneau ◽  
Stéphane Douady ◽  
...  

2018 ◽  
Vol 221 (19) ◽  
pp. jeb180935 ◽  
Author(s):  
Melissa Thompson ◽  
Sam Van Wassenbergh ◽  
Sean M. Rogers ◽  
Scott G. Seamone ◽  
Timothy E. Higham

2017 ◽  
Vol 4 (2) ◽  
pp. 150-165 ◽  
Author(s):  
Stephen M. Chignell ◽  
Matthew W. Luizza ◽  
Sky Skach ◽  
Nicholas E. Young ◽  
Paul H. Evangelista

2017 ◽  
Author(s):  
Tal Keren ◽  
Moshe Kiflawi ◽  
Christopher H Martin ◽  
Victor China ◽  
Ofri Mann ◽  
...  

AbstractThe ability to predict how multiple traits interact in determining performance is key to understanding the evolution of complex functional systems. Similar to Simpson’s adaptive landscape, which describes the fitness consequences of varying morphological traits, performance landscapes depict the performance consequences of varying morphological traits. Mapping the population’s 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.


2014 ◽  
Author(s):  
Mariana Morris ◽  
Nancy Klimas ◽  
Gordon Broderick ◽  
James O'Callaghan ◽  
James Blount

2016 ◽  
Vol 49 (3) ◽  
pp. 429-435 ◽  
Author(s):  
Timothy R. Derrick ◽  
W. Brent Edwards ◽  
Rebecca E. Fellin ◽  
Joseph F. Seay

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