Turner Andrew A, Clark Matthew L, Salas Leo, Seymour Colleen, Snyder Rose L, Lee Alan T K, Ferraz Antonio, Schneider Fabian, Measey John, Huisamen Johan, Cloete Daniël, Hofmeyr Sally D, Hagen Christina, Leland David F, Schackwitz Wendy, Adegbola Festus, Hahndiek Eugéne, Joseph Grant S, Van Rooi Jacques, Fuchs Michelle, Thomas Saskia, Madlala Simphiwe, Spiby Jacky, Taljaard Patty
CapeNature, Private Bag X29, Cape Town, 7766, South Africa.
University of the Western Cape, Biodiversity and Conservation Biology, Private Bag X17, Bellville, 7535, South Africa.
Sci Data. 2025 Aug 15;12(1):1432. doi: 10.1038/s41597-025-05685-3.
Most biodiversity data are collected at fine spatial scales, but threats to species and ecosystems occur at broad spatial scales. Remote sensing allows broad-scale assessment of biodiversity but these data need to be ground-truthed with contemporaneous in situ datasets. Various faunal groups produce sounds or vocalizations which can then be related to remotely-sensed data. As part of the NASA-led BioSCape project, the BioSoundSCape project deployed Autonomous Recording Units (ARUs), which record sounds in an approximately 50 m radius, at 521 sites spread across an area of approximately 119,058 km in the Greater Cape Floristic Region, South Africa, during the wet and dry seasons of 2023. The ARUs recorded sounds one in every ten minutes, over 4-10 days, producing 825,832 minutes of recordings (approximately 400,000 minutes of recording in each season). These sound data are georeferenced to within 20 m, with time and date information, so may be useful for relating biodiversity patterns in soundscapes to vegetation structure, fire history, plant phenology, distance to roads and other human infrastructure.
大多数生物多样性数据是在精细的空间尺度上收集的,但物种和生态系统面临的威胁却发生在广泛的空间尺度上。遥感技术能够对生物多样性进行广泛评估,但这些数据需要与同期的实地数据集进行地面验证。各种动物群体都会发出声音或叫声,这些声音随后可与遥感数据相关联。作为美国国家航空航天局(NASA)牵头的生物景观(BioSCape)项目的一部分,生物声音景观(BioSoundSCape)项目在南非开普植物区系大区一个面积约119,058平方千米的区域内的521个地点部署了自动录音装置(ARUs),这些装置可在半径约50米的范围内记录声音,记录时间为2023年的雨季和旱季。ARUs每十分钟记录一次声音,持续4至10天,共产生825,832分钟的录音(每个季节约400,000分钟录音)。这些声音数据的地理定位精度在20米以内,并包含时间和日期信息,因此可能有助于将声景中的生物多样性模式与植被结构、火灾历史、植物物候、到道路及其他人类基础设施的距离联系起来。