Integrated analysis of marked and count data to characterize fine-scale stream fish movement.

IF 2.3 2区 环境科学与生态学 Q2 ECOLOGY Oecologia Pub Date : 2025-01-27 DOI:10.1007/s00442-024-05639-3
Yoichiro Kanno, Noël M Clark, Kasey C Pregler, Seoghyun Kim
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Abstract

Immigration and emigration are key demographic processes of animal population dynamics. However, we have limited knowledge on how fine-scale movement varies over space and time. We developed a Bayesian integrated population model using individual mark-recapture and count data to characterize fine-scale movement of stream fish at 20-m resolution in a 740-m study area every two months for 28 months. Our study targeted small-bodied fish, for which imperfect capture was accounted for (bluehead chub Nocomis leptocephalus, creek chub Semotilus atromaculatus and mottled sculpin Cottus bairdii). Based on data from 2021 individuals across all species, we found that proportions of immigrants in 20-m sections averaged 30-42% among the study species, but they varied over space and time. Creek chub immigrants increased during warmer intervals when individuals grew more and transitioned between body size classes, suggesting that immigration was due to ontogenetic habitat shifts. There was a weak pattern across the species that individuals were more likely to leave 20-m sections when flow was higher. Water-column species (bluehead chub and creek chub) were more likely to immigrate into and stay in deeper sections with more pool area. Across all species and occasions, number of immigrants to stream sections did not decrease with number of individuals that survived and stayed in the same sections. Thus, the habitat did not appear saturated, and our data provided no evidence that intra-specific interactions affected fine-scale movement at our fish densities. In conclusion, high turnover rates characterized fish movement among stream sections and their variation was associated with temporal and spatial shifts in abiotic conditions.

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对标记数据和计数数据进行综合分析,以确定细尺度溪流鱼类活动的特征。
迁入和迁出是动物种群动态的关键人口统计过程。然而,我们对精细尺度运动如何随空间和时间变化的了解有限。我们开发了一个贝叶斯综合种群模型,利用个体标记-再捕获和计数数据来描述在一个740米的研究区域中每两个月以20米分辨率的精细尺度移动的流鱼,持续28个月。我们的研究对象是小体鱼,这类鱼的捕获不完美(蓝头鱼Nocomis leptocephalus,小体鱼Semotilus atromaculatus和斑纹鱼Cottus bairdii)。基于所有物种的2021个个体的数据,我们发现在研究物种中,20米区域的移民比例平均为30-42%,但它们随着空间和时间的变化而变化。在温暖的时期,当个体生长得更多,并在身体大小类别之间过渡时,溪鳗移民增加,这表明移民是由于个体发生栖息地的变化。在整个物种中存在一个弱的模式,即当流量较大时,个体更容易离开20 m区段。水柱类鱼(蓝头鱼和小溪鱼)更倾向于迁移和停留在泳池面积较大的较深区域。在所有物种和场合中,流段的移民数量并没有随着存活并留在同一段的个体数量的减少而减少。因此,栖息地没有出现饱和,我们的数据没有提供证据表明种内相互作用影响鱼类密度的精细尺度运动。因此,高周转率是鱼类在河段间运动的特征,其变化与非生物条件的时空变化有关。
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来源期刊
Oecologia
Oecologia 环境科学-生态学
CiteScore
5.10
自引率
0.00%
发文量
192
审稿时长
5.3 months
期刊介绍: Oecologia publishes innovative ecological research of international interest. We seek reviews, advances in methodology, and original contributions, emphasizing the following areas: Population ecology, Plant-microbe-animal interactions, Ecosystem ecology, Community ecology, Global change ecology, Conservation ecology, Behavioral ecology and Physiological Ecology. In general, studies that are purely descriptive, mathematical, documentary, and/or natural history will not be considered.
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