Generation Time Ratios—Determinants of Prey Abundance in Insect Predator–Prey Interactions

1999 ◽  
Vol 16 (2) ◽  
pp. 133-138 ◽  
Author(s):  
Pavel Kindlmann ◽  
Anthony F.G. Dixon
2000 ◽  
Vol 83 (4) ◽  
pp. 502
Author(s):  
J. H. Frank ◽  
A. F. G. Dixon

2016 ◽  
Vol 17 (1) ◽  
pp. 71-78 ◽  
Author(s):  
N. E. Papanikolaou ◽  
H. Williams ◽  
N. Demiris ◽  
S. P. Preston ◽  
P. G. Milonas ◽  
...  

2000 ◽  
Vol 78 (3) ◽  
pp. 511-513 ◽  
Author(s):  
L L Eberhardt

The comment by Messier and Joly on a paper by Eberhardt (L.L. Eberhardt. 1997. Can. J. Zool. 75: 1940-1944) suggests that the data in the earlier paper do not demonstrate a regulatory effect of wolves (Canis lupus) on their ungulate prey. It appears that the disagreement results from the use of quite different models, with Messier's approach (F. Messier. 1994. Ecology, 75: 478-488) apparently depending on the assumption of an equilibrium between wolf abundance and prey abundance, while Eberhardt's model depicts non-equilibrium conditions. Some questions having to do with duplications in secondary data sources are further examined.


2013 ◽  
Vol 280 (1768) ◽  
pp. 20131389 ◽  
Author(s):  
Jiqiu Li ◽  
Andy Fenton ◽  
Lee Kettley ◽  
Phillip Roberts ◽  
David J. S. Montagnes

We propose that delayed predator–prey models may provide superficially acceptable predictions for spurious reasons. Through experimentation and modelling, we offer a new approach: using a model experimental predator–prey system (the ciliates Didinium and Paramecium ), we determine the influence of past-prey abundance at a fixed delay (approx. one generation) on both functional and numerical responses (i.e. the influence of present : past-prey abundance on ingestion and growth, respectively). We reveal a nonlinear influence of past-prey abundance on both responses, with the two responding differently. Including these responses in a model indicated that delay in the numerical response drives population oscillations, supporting the accepted (but untested) notion that reproduction, not feeding, is highly dependent on the past. We next indicate how delays impact short- and long-term population dynamics. Critically, we show that although superficially the standard (parsimonious) approach to modelling can reasonably fit independently obtained time-series data, it does so by relying on biologically unrealistic parameter values. By contrast, including our fully parametrized delayed density dependence provides a better fit, offering insights into underlying mechanisms. We therefore present a new approach to explore time-series data and a revised framework for further theoretical studies.


2021 ◽  
Author(s):  
Uriah Daugaard ◽  
Reinhard Furrer ◽  
Owen L. Petchey

Non-consumptive effects (NCEs) of predators on prey, such as induced defensive strategies, are frequently neglected in the analysis of predator-prey interactions. Yet these effects can have demographic impacts as strong as consumption. As a counterpart to NCEs, resource-availability effects (RAEs) can prompt changes in predators as well, e.g., in their foraging behavior. We studied NCEs and RAEs in the ciliate predator-prey pair Didinium nasutum and Paramecium caudatum. We examined the dependence of prey/predator swimming speed and body size on predator/prey presence. We also investigated prey spatial grouping behavior and the dependence of predator movement on local prey abundance. We collected individual movement and morphology data through videography of laboratory-based populations. We compared swimming speeds and body sizes based on their distributions. We used linear models to respectively quantify the effects of local prey abundance on predator displacements and of predator presence on prey grouping behavior. In the presence of prey, predator individuals swam more slowly, were bigger and made smaller displacements. Further, their displacements decreased with increasing local prey abundance. In contrast, in the presence of predators, proportionally more prey individuals showed a fast-swimming behavior and there was weak evidence for increased prey grouping. Trait changes entail energy expenditure shifts, which likely affect interspecific interactions and populations, as has been shown for NCEs. Less is known about the link between RAEs and demography, but it seems likely that the observed effects scale up to influence community and ecosystem stability, yet this remains largely unexplored.


BioScience ◽  
1982 ◽  
Vol 32 (4) ◽  
pp. 261-266 ◽  
Author(s):  
Barbara L. Peckarsky

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