scholarly journals Parasite intensity and the evolution of migratory behavior

Ecology ◽  
2020 ◽  
Author(s):  
Laurinne J. Balstad ◽  
Sandra A. Binning ◽  
Meggan E. Craft ◽  
Marlene Zuk ◽  
Allison K. Shaw



Social Forces ◽  
1948 ◽  
Vol 26 (4) ◽  
pp. 437-442 ◽  
Author(s):  
W. W. Wattenberg


Cell ◽  
2021 ◽  
Vol 184 (2) ◽  
pp. 303-305
Author(s):  
Olivia S. Harringmeyer ◽  
Maya L. Woolfolk ◽  
Hopi E. Hoekstra


Parasitology ◽  
1999 ◽  
Vol 118 (4) ◽  
pp. 417-423 ◽  
Author(s):  
D. M. TOMPKINS ◽  
P. J. HUDSON

Patterns of nematode fecundity were investigated for infections of the caecal worm Heterakis gallinarum in the ring-necked pheasant (Phasianus colchicus). Worm length was a good predictor of parasite fecundity. After controlling for worm length no other factors, including parasite intensity, were related to worm fecundity. Density dependence in worm size was detected in natural infections at parasite intensities above a threshold of 96 worms (worm size decreased with increasing parasite intensity). However, below this threshold, worm size actually decreased with decreasing parasite intensity (inverse density dependence). The interaction between density dependence and inverse density dependence in regulating the development and subsequent fecundity of H. gallinarum worms in ring-necked pheasants was demonstrated in an infection experiment. Density dependence was observed in the stunted growth of worms in heavily infected hosts, relative to worms in lightly infected hosts. Inverse density dependence in worm size was the common pattern across hosts by the end of the experiment, when parasite intensities were below the density dependence threshold. This is the first study to document both density dependence and inverse density dependence in parasite fecundity in the same host–helminth system.



1998 ◽  
Vol 195 (2) ◽  
pp. 168-173 ◽  
Author(s):  
R. A. Tankersley ◽  
M. G. Wieber ◽  
M. A. Sigala ◽  
K. A. Kachurak


2000 ◽  
Vol 70 ◽  
pp. A63-A63
Author(s):  
A.D. Ebert ◽  
C. Wechselberger ◽  
B. Wallace-Jones ◽  
M. Nees ◽  
T. Clair ◽  
...  


2008 ◽  
Vol 7 (2) ◽  
pp. 444-450 ◽  
Author(s):  
M.L. Camparoto ◽  
B. Fulan ◽  
C.M. Colli ◽  
M.L. Paludo ◽  
A.L. Falavigna-Guilherme ◽  
...  


2021 ◽  
Vol 9 ◽  
Author(s):  
Eliezer Gurarie ◽  
Sriya Potluri ◽  
George Christopher Cosner ◽  
Robert Stephen Cantrell ◽  
William F. Fagan

Seasonal migrations are a widespread and broadly successful strategy for animals to exploit periodic and localized resources over large spatial scales. It remains an open and largely case-specific question whether long-distance migrations are resilient to environmental disruptions. High levels of mobility suggest an ability to shift ranges that can confer resilience. On the other hand, a conservative, hard-wired commitment to a risky behavior can be costly if conditions change. Mechanisms that contribute to migration include identification and responsiveness to resources, sociality, and cognitive processes such as spatial memory and learning. Our goal was to explore the extent to which these factors interact not only to maintain a migratory behavior but also to provide resilience against environmental changes. We develop a diffusion-advection model of animal movement in which an endogenous migratory behavior is modified by recent experiences via a memory process, and animals have a social swarming-like behavior over a range of spatial scales. We found that this relatively simple framework was able to adapt to a stable, seasonal resource dynamic under a broad range of parameter values. Furthermore, the model was able to acquire an adaptive migration behavior with time. However, the resilience of the process depended on all the parameters under consideration, with many complex trade-offs. For example, the spatial scale of sociality needed to be large enough to capture changes in the resource, but not so large that the acquired collective information was overly diluted. A long-term reference memory was important for hedging against a highly stochastic process, but a higher weighting of more recent memory was needed for adapting to directional changes in resource phenology. Our model provides a general and versatile framework for exploring the interaction of memory, movement, social and resource dynamics, even as environmental conditions globally are undergoing rapid change.



2010 ◽  
Author(s):  
Geoffrey A. McMichael ◽  
Ryan A. Harnish ◽  
Brian J. Bellgraph ◽  
Jessica A. Carter ◽  
Kenneth D. Ham ◽  
...  


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