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Title: Predicting age and mass at maturity from feeding behavior and diet in Manduca sexta : An empirical test of a life history model
Abstract

Feeding for most animals involves bouts of active ingestion alternating with bouts of no ingestion. In insects, the temporal patterning of bouts varies widely with resource quality and is known to affect growth, development time, and fitness. However, the precise impacts of resource quality and feeding behavior on insect life history traits are poorly understood. To explore and better understand the connections between feeding behavior, resource quality, and insect life history traits, we combined laboratory experiments with a recently proposed mechanistic model of insect growth and development for a larval herbivore,Manduca sexta. We ran feeding trials for 4th and 5th instar larvae across different diet types (two hostplants and artificial diet) and used these data to parameterize a joint model of age and mass at maturity that incorporates both insect feeding behavior and hormonal activity. We found that the estimated durations of both feeding and nonfeeding bouts were significantly shorter on low‐quality than on high‐quality diets. We then explored how well the fitted model predicted historical out‐of‐sample data on age and mass ofM. sexta. We found that the model accurately described qualitative outcomes for the out‐of‐sample data, notably that a low‐quality diet results in reduced mass and later age at maturity compared with high‐quality diets. Our results clearly demonstrate the importance of diet quality on multiple components of insect feeding behavior (feeding and nonfeeding) and partially validate a joint model of insect life history. We discuss the implications of these findings with respect to insect herbivory and discuss ways in which our model could be improved or extended to other systems.

 
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NSF-PAR ID:
10398350
Author(s) / Creator(s):
 ;  ;  ;  
Publisher / Repository:
Wiley Blackwell (John Wiley & Sons)
Date Published:
Journal Name:
Ecology and Evolution
Volume:
13
Issue:
2
ISSN:
2045-7758
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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