Carry‐over effects of larval food stress on adult energetics and life history in a nectar‐feeding butterfly

生物 生殖力 若虫科 生命史理论 少年 后代 长寿 幼虫 能量学 生态学 繁殖 情感(语言学) 蝴蝶 取舍 基础代谢率 动物 生活史 内分泌学 人口 人口学 哲学 遗传学 社会学 语言学 怀孕
作者
Kristjan Niitepõld,Carol L. Boggs
出处
期刊:Ecological Entomology [Wiley]
卷期号:47 (3): 391-399 被引量:9
标识
DOI:10.1111/een.13124
摘要

Abstract Stressful juvenile developmental conditions can affect performance and fitness later in life. In holometabolous insects such as butterflies, development under stressful conditions may lead to smaller adult size, lower reproductive output, and shorter lifespan. However, how larval developmental stress affects energy intake and expenditure in adult individuals is poorly understood. We subjected last‐instar larvae of Speyeria mormonia Edwards (Lepidoptera: Nymphalidae) to periodic dietary restriction (DR) to examine the allocation of energy and nutrients among different life history processes. We measured adult food intake, resting metabolic rate (RMR), metabolic flight capacity, lifespan, and reproductive output. Consistent with pressure to disperse from a poor environment while maintaining offspring number, we predicted that stressed individuals would have increased adult food intake and higher flight capacity. Adult body size was strongly reduced. Contrary to predictions, we found no compensatory adult feeding. Mass‐adjusted flight metabolic rate was reduced, suggesting poor dispersal capacity. Larval DR did not affect adult lifespan, nor did the rate of metabolic senescence change. Larval DR did affect RMR, as stressed females had a steeper slope between RMR and body mass, which may reflect differences in physiological activity due to condition. Fecundity decreased less than predicted based on body mass. Instead of investing in flight capacity, females increased relative allocation to reproduction, which may partly buffer against poor environmental conditions. Understanding the interplay of energy acquisition and allocation to life history traits across the life cycle is vital for predicting responses to environmental change.
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