红色丛林鸮发声的时间模式和环境驱动因素。

IF 2.3 Q2 ECOLOGY
Peipei Hao, Xiaodong Rao, Wei Liang, Yanyun Zhang
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引用次数: 0

摘要

鸟类的鸣叫行为受到多种因素的影响,如繁殖状态、光照周期和气候条件等,这些因素促使它们对环境变化做出相应的调整。本研究采用被动声学监测和自动信号识别技术,分析了红丛林鸦(Gallus Gallus jabouillei)在一个完整的年周期内发声节奏的日变化和季节变化,考察了气候因素对其鸣叫活动的影响。结果表明,红丛林鸮的鸣叫行为有明显的昼夜和季节变化。日活动模式有明显的早晚高峰,分别出现在日出前1小时和日落前1小时。在繁殖季节,鸣叫活动逐渐增加,在孵育期达到高峰。红丛林鸮的声音强度随环境变化而波动,与日降水和早晨温度有显著关联,但不受日最大风速的影响。在满月期间,早晨的高峰比其他月相出现得更早,而晚上的高峰则与日落一致。该研究进一步提出了追踪红丛林莺发声行为所需的最佳采样周期和最短监测持续时间,为基于叫声的种群调查和被动声学监测提供指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Temporal patterns and environmental drivers of the red junglefowl vocalization.

The vocalization behaviour of birds is influenced by multiple factors, such as reproductive status, photoperiod and climatic conditions, which drive adjustments in their calls to respond to environmental changes. This study employed passive acoustic monitoring and automated signal recognition technology to analyse the daily and seasonal variations in the vocal rhythms of the red junglefowl Gallus gallus jabouillei over a complete annual cycle, examining the impact of climatic factors on their calling activity. Results revealed significant diurnal and seasonal variations in the vocalization behaviour of red junglefowls. The daily activity patterns showed distinct morning and evening peaks, occurring one hour before sunrise and sunset, respectively. During the breeding season, calling activity progressively increased, reaching its peak during the incubation and brooding periods. The vocal intensity of red junglefowls fluctuated with environmental changes, showing significant associations with daily precipitation and morning temperatures but was unaffected by daily maximum wind speeds. During the full moon, the morning peak was observed to occur earlier than during other lunar phases, whereas the evening peak consistently coincided with sunset. This study further suggested the optimal sampling periods and minimum monitoring durations required to track red junglefowl vocal behaviour, offering guidance for call-based population surveys and passive acoustic monitoring.

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