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基于被动声学监测的南岭山地鸟类鸣声与物种丰富度时空格局
Spatiotemporal Patterns of Bird Vocalizations and Species Richness in the Nanling Mountains Based on Passive Acoustic Monitoring
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摘要: 2023年5月至2024年5月,在广东南岭山地沿600~
1700 m海拔梯度布设8台被动声学监测设备,利用被动声学监测技术调查南岭山地鸟类多样性,分析鸟类多样性的海拔分布格局与时序动态特征。结果表明:共记录鸟类12目39科88种,物种丰富度总体上沿海拔呈单峰格局,峰值(62种)出现在中海拔1300 m处。不同功能类群对海拔梯度的响应存在差异,留鸟呈单峰分布,夏候鸟随海拔升高而增加;鸣禽在中高海拔(1200 ~1700 m)最为丰富,攀禽、猛禽分别呈单峰、双峰分布;食虫与杂食鸟类物种数随海拔显著增加。白天的鸣声活动与物种数显著高于夜间,繁殖季显著高于非繁殖季,6月为全年声学活动高峰。海拔(P =0.003)与月份(P <0.001)均对鸣声数量及物种丰富度产生显著影响。全天候被动声学监测能够有效揭示南岭山地鸟类多样性的时空分异特征,为区域鸟类保护与监测提供可靠技术支撑。Abstract: Passive acoustic monitoring (PAM) provides a novel approach for long-term and continuous monitoring of bird communities, yet its systematic application and ability to capture temporal dynamics in complex montane environments remain limited. From May 2023 to May 2024, eight acoustic recorders were deployed along an elevational gradient (600-1700 m) in the Nanling Mountains, Guangdong, China, to investigate the elevational distribution patterns and temporal rhythms of bird diversity. A total of 88 species from 12 orders and 39 families were recorded. Overall, species richness exhibited a unimodal pattern along the elevational gradient, peaking at1300 m with 62 species. Functional groups showed distinct elevational responses: resident species displayed a unimodal distribution, whereas summer migrants increased with elevation; passerines were most diverse at mid- to high elevations (1200 -1700 m), scansorial birds exhibited a unimodal pattern, and raptors displayed a bimodal distribution; insectivorous and omnivorous species increased significantly with elevation (p<0.05). Temporally, vocal activity and species richness were significantly higher during the day than at night (p<0.001), and higher in the breeding season than in the non-breeding season (p<0.01), with June representing the annual peak in acoustic activity. Both elevation (p=0.003) and month (p<0.001) had significant effects on call abundance and species richness. These results demonstrate that continuous PAM effectively captures the spatiotemporal differentiation of bird diversity in the Nanling Mountains, providing robust technical support for regional bird monitoring and conservation.
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