02603nas a2200241 4500008004100000022001400041245012400055210006900179260001600248300001400264520172700278653002502005653002402030653001002054653002902064653002002093100002302113700002602136700002002162700002702182700002502209856012702234 2018 eng d a0027-842400aChronic anthropogenic noise disrupts glucocorticoid signaling and has multiple effects on fitness in an avian community0 aChronic anthropogenic noise disrupts glucocorticoid signaling an cAug-01-2018 a2017092003 a

Anthropogenic noise is a pervasive pollutant that decreases environmental quality by disrupting a suite of behaviors vital to perception and communication. However, even within populations of noise-sensitive species, individuals still select breeding sites located within areas exposed to high noise levels, with largely unknown physiological and fitness consequences. We use a study system in the natural gas fields of northern New Mexico to test the prediction that exposure to noise causes glucocorticoid-signaling dysfunction and decreases fitness in a community of secondary cavity-nesting birds. In accordance with these predictions, and across all species, we find strong support for noise exposure decreasing baseline corticosterone in adults and nestlings and, conversely, increasing acute stressor-induced corticosterone in nestlings. We also document fitness consequences with increased noise in the form of reduced hatching success in the western bluebird (Sialia mexicana), the species most likely to nest in noisiest environments. Nestlings of all three species exhibited accelerated growth of both feathers and body size at intermediate noise amplitudes compared with lower or higher amplitudes. Our results are consistent with recent experimental laboratory studies and show that noise functions as a chronic, inescapable stressor. Anthropogenic noise likely impairs environmental risk perception by species relying on acoustic cues and ultimately leads to impacts on fitness. Our work, when taken together with recent efforts to document noise across the landscape, implies potential widespread, noise-induced chronic stress coupled with reduced fitness for many species reliant on acoustic cues.

10aacoustic environment10aanthropogenic noise10abirds10aperceived predation risk10astress response1 aKleist, Nathan, J.1 aGuralnick, Robert, P.1 aCruz, Alexander1 aLowry, Christopher, A.1 aFrancis, Clinton, D. uhttp://www.pnas.org/lookup/doi/10.1073/pnas.1709200115https://syndication.highwire.org/content/doi/10.1073/pnas.170920011501053nas a2200145 4500008004100000245009600041210006900137520054000206653002500746653002100771653002800792653002300820100002500843856003900868 2017 eng d00aThe Clustering of Acoustic Indices derived from Long-duration Recordings of the Environment0 aClustering of Acoustic Indices derived from Longduration Recordi3 a

This paper outlines the recording dataset and methods used to choose a clustering algorithm for a large twenty-six month acoustic dataset. The recordings were of the natural environment and consist of thirteen months of recording from each of two sites in two national parks 160 km north of Brisbane, Queensland. This paper also explains the calculation and use of the intra-three-day-distance (I3DD) error measure used to determine the optimum clustering result. Site maps and photos are provided at the end of this document.

10aacoustic environment10aacoustic indices10ahierarchical clustering10ak-means clustering1 aPhillips, Yvonne, F. uhttps://eprints.qut.edu.au/110659/01121nas a2200145 4500008004100000245010500041210006900146520061600215653002500831653002100856653001800877653002100895653002000916856003900936 2017 eng d00aThe calculation of acoustic indices derived from long-duration recordings of the natural environment0 acalculation of acoustic indices derived from longduration record3 a

The work described in this technical report is part of ongoing research within the QUT Ecoacoustics Research Group to build practical tools for the manipulation, analysis and visualisation of recordings of the natural environment. This report describes methods we use to calculate spectral and summary acoustic indices derived from recordings of the environment. A spectral index is a vector of N values, one for each frequency bin of the spectrogram. A summary index is a scalar value, in some cases derived directly from the waveform envelope and in other cases from the corresponding spectral index.

10aacoustic environment10aacoustic indices10aeco-acoustics10aspectral indices10asummary indices uhttps://eprints.qut.edu.au/110634/