Wa Maina Ciira, Muchiri David, Njoroge Peter
Department of Electrical and Electronic Engineering, Dedan Kimathi University of Technology, Nyeri, Kenya.
Dedan Kimathi University Wildlife Conservancy, Dedan Kimathi University of Technology, Nyeri, Kenya.
Biodivers Data J. 2016 Oct 5(4):e9906. doi: 10.3897/BDJ.4.e9906. eCollection 2016.
Environmental degradation is a major threat facing ecosystems around the world. In order to determine ecosystems in need of conservation interventions, we must monitor the biodiversity of these ecosystems effectively. Bioacoustic approaches offer a means to monitor ecosystems of interest in a sustainable manner. In this work we show how a bioacoustic record from the Dedan Kimathi University wildlife conservancy, a conservancy in the Mount Kenya ecosystem, was obtained in a cost effective manner. A subset of the dataset was annotated with the identities of bird species present since they serve as useful indicator species. These data reveal the spatial distribution of species within the conservancy and also point to the effects of major highways on bird populations. This dataset will provide data to train automatic species recognition systems for birds found within the Mount Kenya ecosystem. Such systems are necessary if bioacoustic approaches are to be employed at the large scales necessary to influence wildlife conservation measures.
We provide acoustic recordings from the Dedan Kimathi University wildlife conservancy, a conservancy in the Mount Kenya ecosystem, obtained using a low cost acoustic recorder. A total of 2701 minute long recordings are provided including both daytime and nighttime recordings. We present an annotation of a subset of the daytime recordings indicating the bird species present in the recordings. The dataset contains recordings of at least 36 bird species. In addition, the presence of a few nocturnal species within the conservancy is also confirmed.
环境退化是全球生态系统面临的主要威胁。为了确定需要保护干预的生态系统,我们必须有效地监测这些生态系统的生物多样性。生物声学方法提供了一种以可持续方式监测感兴趣生态系统的手段。在这项工作中,我们展示了如何以具有成本效益的方式从肯尼亚山生态系统中的德丹·基马蒂大学野生动物保护区获取生物声学记录。该数据集的一个子集标注了存在的鸟类物种身份,因为它们是有用的指示物种。这些数据揭示了保护区内物种的空间分布,也指出了主要公路对鸟类种群的影响。这个数据集将为训练肯尼亚山生态系统中鸟类的自动物种识别系统提供数据。如果要在影响野生动物保护措施所需的大规模上采用生物声学方法,这样的系统是必要的。
我们提供了来自肯尼亚山生态系统中的德丹·基马蒂大学野生动物保护区的声学记录,这些记录是使用低成本声学记录仪获得的。总共提供了2701分钟长的记录,包括白天和夜间的记录。我们展示了白天记录的一个子集的注释,表明记录中存在的鸟类物种。该数据集包含至少36种鸟类的记录。此外,还确认了保护区内有一些夜行性物种。