PDF(Pubmed)
Abstract：
Passive acoustic monitoring has proven to have many advantages for monitoring efforts and research activities. However, there are considerations to be taken into account regarding the placement of autonomous sound recorders. Detection ranges differ among species and in response to variable conditions such as weather or the location of vocalising animals. It is thus important to the success of a research project to understand, with a certain degree of confidence, the distances at which birds might be detected. In two types of forests in Poland, we played back the vocalisations of 31 species of European forest birds exemplifying different singing characteristics. Based on recordings obtained along a 500-m transect, we estimated the probability of detection and maximum detection distance of each vocalisation. We broadcasted the recording at three heights of singing and repeated playbacks three times during the breeding season to evaluate the effect of vegetation growth. Our results revealed that environmental and meteorological factors had a significant influence on both detection probability and maximum detection distances. This work provides comprehensive measurements of detection distance for 31 bird species and can be used to plan passive acoustic monitoring research in Europe, taking into account species traits and individual characteristics of the study area.
摘要：
事实证明，无源声学监测对于监测工作和研究活动具有许多优势。然而,关于自主录音机的放置，有一些需要考虑的因素。检测范围因物种而异，并因天气或发声动物的位置等可变条件而异。因此，重要的是要了解一个研究项目的成功，有了一定的信心,鸟类可能被检测到的距离。在波兰的两种森林中，我们播放了31种欧洲森林鸟类的发声，体现了不同的歌唱特征。根据沿500米横断面获得的记录，我们估计了每次发声的检测概率和最大检测距离。在繁殖季节，我们在三个歌唱高度播放了录音，并重复播放了三次，以评估植被生长的影响。我们的结果表明，环境和气象因素对检测概率和最大检测距离都有重大影响。这项工作提供了31种鸟类的检测距离的全面测量，可用于计划欧洲的无源声学监测研究，考虑到研究区的物种特征和个体特征。
