Causes of interspecific variation in avian migration distance

IF 4.1 2区 环境科学与生态学 Q1 ECOLOGY
Ecology Pub Date : 2026-09-17 DOI:10.1002/ecy.70502
Neil Paprocki, Courtney J. Conway
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引用次数: 0

Abstract

Migration is an awe‐inspiring behavior employed by a diverse suite of taxa throughout the animal kingdom. Avian migration is arguably the most well‐known animal behavior and birds vary widely in how far they migrate, but the ecological mechanisms underlying interspecific variation in migration distance remain unclear. We developed a novel set of predictions deduced from seven mechanistic hypotheses proposed to explain interspecific variation in avian migration distance. We then used a Bayesian phylogenetic comparative analysis to test predictions from these seven hypotheses based on migration data and species traits from 446 species of migratory birds throughout the world based on data from animal‐borne tracking technology. Body mass, seasonal food availability, and morphological/behavioral traits that improve flight efficiency explained significant interspecific variation in migration distance after controlling for absolute breeding latitude (which was positively correlated with migration distance). Specifically, we found migration distance was negatively correlated with body mass and seasonal food availability but positively correlated with hand‐wing index (a measure of wing elongation and pointedness) and soaring flight. Moreover, the negative relationship between body mass and migration distance was not ubiquitous but rather depended on flight mode and intraspecific nonbreeding group size, such that species employing flapping flight during migration and those overwintering in smaller intraspecific groups had the strongest negative relationships between body mass and migration distance. Within group‐living birds, smaller bodied species may gain a foraging or thermoregulatory advantage that shortens migration distances, while larger bodied species may gain an energetic advantage by using flock formations during migration that facilitates longer migrations to more suitable nonbreeding areas. From a life history perspective, maximum annual reproductive investment was negatively correlated with migration distance, while minimum annual reproductive investment and adult annual survival were not correlated with migration distance. Overall, our results support flight efficiency, food limitation, and thermoregulatory‐based hypotheses as causes of interspecific variation in migration distances in birds. Our results also help to refine the numerous and often ambiguous mechanisms underlying the negative relationship between body size and migration distance and refute several hypotheses previously proposed to explain interspecific variation in avian migration distance.
鸟类迁徙距离种间变异的原因
迁徙是一种令人敬畏的行为,在整个动物王国中,各种各样的分类群都采用了这种行为。鸟类迁徙可以说是最广为人知的动物行为,鸟类的迁徙距离差异很大,但迁徙距离的种间差异背后的生态机制尚不清楚。我们提出了一套新的预测,从七个机制假设中推导出解释鸟类迁徙距离的种间变化。然后,我们使用贝叶斯系统发育比较分析来验证这七个假设的预测,这些预测基于全球446种候鸟的迁徙数据和物种特征,这些数据基于动物传播跟踪技术的数据。在控制绝对繁殖纬度(与迁徙距离正相关)后,体重、季节性食物供应和形态/行为特征对飞行效率的提高解释了迁徙距离的显着种间差异。具体来说,我们发现迁徙距离与体重和季节性食物供应呈负相关,但与手翼指数(一种衡量翅膀伸长和指向的指标)和翱翔飞行呈正相关。此外,体重与迁徙距离的负相关关系并非普遍存在,而是取决于飞行方式和种内非繁殖群体的大小,其中在迁徙过程中采用扑翼飞行的物种和在较小的种内群体中越冬的物种的体重与迁徙距离的负相关关系最强。在群居鸟类中,体型较小的物种可能会获得觅食或体温调节的优势,从而缩短迁徙距离,而体型较大的物种可能会通过在迁徙过程中利用群体形成来获得能量优势,从而促进更长的迁徙到更合适的非繁殖区。从生活史角度看,年最大生殖投资与迁徙距离呈负相关,年最小生殖投资和成虫年存活率与迁徙距离无相关。总的来说,我们的研究结果支持飞行效率、食物限制和基于体温调节的假设是鸟类迁徙距离种间差异的原因。我们的研究结果还有助于完善体型与迁徙距离负相关的众多且往往模棱两可的机制,并反驳了先前提出的解释鸟类迁徙距离种间差异的几个假设。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Ecology
Ecology 环境科学-生态学
CiteScore
8.30
自引率
2.10%
发文量
332
审稿时长
3 months
期刊介绍: Ecology publishes articles that report on the basic elements of ecological research. Emphasis is placed on concise, clear articles documenting important ecological phenomena. The journal publishes a broad array of research that includes a rapidly expanding envelope of subject matter, techniques, approaches, and concepts: paleoecology through present-day phenomena; evolutionary, population, physiological, community, and ecosystem ecology, as well as biogeochemistry; inclusive of descriptive, comparative, experimental, mathematical, statistical, and interdisciplinary approaches.
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