Photoperiodic induction of prepupal diapause and its role in synchronization with host phenology in the hibiscus caterpillar,Xanthodes transversa

2015 ◽  
Vol 18 (3) ◽  
pp. 360-367 ◽  
Author(s):  
Yoshinori Shintani ◽  
Kei Kawazu ◽  
Yuzuru Hirose
1993 ◽  
Vol 87 (2) ◽  
pp. 160-166 ◽  
Author(s):  
Ivana Machackova ◽  
Jan Krekule ◽  
Josef Eder ◽  
Frideta Seidlova ◽  
Miroslav Strnad

1995 ◽  
Vol 110 (2) ◽  
pp. 139-146 ◽  
Author(s):  
Oscar Castañon-Cervantes ◽  
Carlos Lugo ◽  
Marcela Aguilar ◽  
Genoveva Gonzalez-Moran ◽  
Maria Luisa Fanjul-Moles

2021 ◽  
Author(s):  
Hannelore MacDonald ◽  
Dustin Brisson

Parasite-host interactions can result in periodic population dynamics when parasites over-exploit host populations. The timing of host seasonal activity, or host phenology, determines the frequency and demographic impact of parasite-host interactions which may govern if the parasite can sufficiently over-exploit their hosts to drive population cycles. We describe a mathematical model of a monocyclic, obligate-killer parasite system with seasonal host activity to investigate the consequences of host phenology on host-parasite dynamics. The results suggest that parasites can reach the densities necessary to destabilize host dynamics and drive cycling in only some phenological scenarios, such as environments with short seasons and synchronous host emergence. Further, only parasite lineages that are sufficiently adapted to phenological scenarios with short seasons and synchronous host emergence can achieve the densities necessary to over-exploit hosts and produce population cycles. Host-parasite cycles can also generate an eco-evolutionary feedback that slows parasite adaptation to the phenological environment as rare advantageous phenotypes are driven to extinction when introduced in phases of the cycle where host populations are small and parasite populations are large. The results demonstrate that seasonal environments can drive population cycling in a restricted set of phenological patterns and provides further evidence that the rate of adaptive evolution depends on underlying ecological dynamics.


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