Caracterización acústica de fincas bajo pago por servicios ambientales en la Reserva Forestal Golfo Dulce, Costa Rica

Jimy Barrantes-Madrigal, Mónica Retamosa, Ricardo Bedoya-Arrieta, Adriana Valerio-Madrigal, Jonathan Sánchez-Alpízar
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Abstract

[Introduction]: In Latin America, the sensitive tropical biodiversity found outside of protected wilderness areas is under threat. In Costa Rica, the payment for environmental services (PSA) represents a mechanism to protect forests on private farms, but it lacks specific indicators on the state of biodiversity and forest conservation. [Objective]: To analyze the use of acoustic monitoring for ecosystem assessment at 11 sites in the Osa Peninsula, nine on private farms, and two sites within Corcovado National Park. [Methods]: Soundscapes were recorded from May 25 to June 1, 2021, using acoustic recorders. It was analyzed the behavior of six acoustic indices at each sampling site and applied an automated detection analysis of vocalizations of two representative bird species of the area. [Results]: It was found that the most fragmented sites presented higher activity, energy, and acoustic diversity, possibly due to edge effects and ecotones present, as well as a high forest component in the surrounding matrix. Automated vocalization detection indicated that the species Hylopezus perspicillatus turned out to be more sensitive to differences in the landscape than Trogon bairdii. [Conclusions]: The use of acoustic indices, although it associates features of the degree of conservation, was not a differentiating element of the quality of the ecosystem in the evaluated farms. The monitoring ofspecies through the detection of their vocalizations was promising. A careful and rigorous sampling design, with moresampling points per site, is recommended to achieve accurate measurements and avoid bias in the analysis.
哥斯达黎加杜尔塞湖森林保护区环境服务付费农场的声学特征。
[导言]:在拉丁美洲,野生保护区以外的敏感热带生物多样性正受到威胁。在哥斯达黎加,环境服务付费(PSA)是保护私人农场森林的一种机制,但它缺乏有关生物多样性和森林保护状况的具体指标。[目标]:分析在奥萨半岛 11 个地点(其中 9 个地点位于私人农场,2 个地点位于科尔科瓦多国家公园内)使用声学监测进行生态系统评估的情况。方法2021 年 5 月 25 日至 6 月 1 日,使用声学记录器记录了声景。分析了每个采样点的六种声学指数的行为,并对该地区两种代表性鸟类的发声进行了自动检测分析。结果结果发现,最破碎的地点呈现出较高的活动、能量和声学多样性,这可能是由于存在边缘效应和生态区,以及周围基质中的森林成分较高。自动发声检测表明,Hylopezus perspicillatus物种比Trogon bairdii物种对景观差异更加敏感。结论声学指数的使用虽然与保护程度的特征相关,但并不是评估农场生态系统质量的区分要素。通过检测物种的发声对其进行监测很有前景。建议进行仔细、严格的取样设计,每个地点增加取样点,以实现精确测量,避免分析中的偏差。
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