02274nas a2200169 4500008004100000022001300041245012300054210006900177260001600246520167600262100002001938700001501958700001901973700001901992700002602011856006702037 2019 eng d a1574954100aContributions of MIR to soundscape ecology. Part 2: Spectral timbral analysis for discriminating soundscape components0 aContributions of MIR to soundscape ecology Part 2 Spectral timbr cJan-02-20193 a

Soundscape ecology evaluates biodiversity and environmental disturbances by investigating the interaction among soundscape components (biological, geophysical, and human-produced sounds) using data collected with autonomous recording units. Current analyses consider the acoustic properties of frequency and amplitude resulting in varied metrics, but rarely focus on the discrimination of soundscape components. Computational musicologists analyze similar data but consider a third acoustic property, timbre.

Here, we investigated the effectiveness of spectral timbral analysis to distinguish among dominant soundscape components. This process included manually labeling and extracting spectral timbral features for each recording. Then, we tested classification accuracy with linear and quadratic discriminant analyses on combinations of spectral timbral features.

Different spectral timbral feature groups distinguished between biological, geophysical, and manmade sounds in a single field recording. Furthermore, as we tested different combinations of spectral timbral features that resulted in both high and very low accuracy results, we found that they could be ordered to “sift” out field recordings by individual dominant soundscape component.

By using timbre as a new acoustic property in soundscape analyses, we could classify dominant soundscape components effectively. We propose further investigation into a sifting scheme that may allow researchers to focus on more specific research questions such as understanding changes in biodiversity, discriminating by taxonomic class, or to inspect weather-related events.

1 aVanSchaik, Jack1 aZhao, Zhao1 aGasc, Amandine1 aOmrani, Hichem1 aPijanowski, Bryan, C. uhttps://linkinghub.elsevier.com/retrieve/pii/S157495411830190002697nas a2200265 4500008004100000022001400041245010900055210006900164260001600233520187100249653002502120653001602145653001902161653002002180653001502200653001302215100001902228700002802247700002202275700001602297700001702313700002002330700002602350856005502376 2018 eng d a0921-297300aSoundscapes reveal disturbance impacts: biophonic response to wildfire in the Sonoran Desert Sky Islands0 aSoundscapes reveal disturbance impacts biophonic response to wil cOct-07-20183 a

Context
While remote sensing imagery is effective for quantifying land cover changes across large areas, its utility for directly assessing the response of animals to disturbance is limited. Soundscapes approaches— the recording and analysis of sounds in a landscape— could address this shortcoming.

Objectives
In 2011, a massive wildfire named ‘‘the Horseshoe 2 Burn’’ occurred in the Chiricahua National Monument, Arizona, USA. We evaluated the impact of this wildfire on acoustic activity of animal communities.

Methods
In 2013, soundscape recordings were col- lected over 9 months in 12 burned and 12 non-burned sites in four ecological systems. The seasonal and diel biological acoustic activity were described using the ‘‘Bioacoustic Index’’, a detailed aural analysis of sound sources, and a new tool called ‘‘Sonic Time- lapse Builder’’ (STLB).


Results
Seasonal biophony phenology showed a diurnal peak in June and a nocturnal peak in October in all ecological systems. On June mornings, acoustic activity was lower at burned than at non-burned sites in three of four ecological systems, due to a decreased abundance of cicadas directly impacted by the death of trees. Aural analyses revealed that 55% of recordings from non-burned sites contained insect sounds com- pared to 18% from burned sites. On October nights, orthopteran activity was more prevalent at some burned sites, possibly due to post-fire emergence of herbaceous.

Conclusions
Soundscape approaches can help address long-term conservation issues involving the responses of animal communities to wildfire. Acoustic methods can serve as a valuable complement to remote sensing for disturbance-based landscape management.

10aConservation biology10adisturbance10aRemote sensing10aSonic timelapse10aSoundscape10aWildfire1 aGasc, Amandine1 aGottesman, Benjamin, L.1 aFrancomano, Dante1 aJung, Jinha1 aDurham, Mark1 aMateljak, Jason1 aPijanowski, Bryan, C. uhttp://link.springer.com/10.1007/s10980-018-0675-302543nas a2200217 4500008004100000022001400041245008100055210006900136260000900205300001000214490000600224520190300230100002702133700001702160700002302177700001902200700002202219700002202241700001802263856004402281 2015 eng d a2167-835900aFirst description of underwater acoustic diversity in three temperate ponds.0 aFirst description of underwater acoustic diversity in three temp c2015 ae13930 v33 a

The past decade has produced an increased ecological interest in sonic environments, or soundscapes. However, despite this rise in interest and technological improvements that allow for long-term acoustic surveys in various environments, some habitats' soundscapes remain to be explored. Ponds, and more generally freshwater habitats, are one of these acoustically unexplored environments. Here we undertook the first long term acoustic monitoring of three temperate ponds in France. By aural and visual inspection of a selection of recordings, we identified 48 different sound types, and according to the rarefaction curves we calculated, more sound types are likely present in one of the three ponds. The richness of sound types varied significantly across ponds. Surprisingly, there was no pond-to-pond daily consistency of sound type richness variation; each pond had its own daily patterns of activity. We also explored the possibility of using six acoustic diversity indices to conduct rapid biodiversity assessments in temperate ponds. We found that all indices were sensitive to the background noise as estimated through correlations with the signal-to-noise ratio (SNR). However, we determined that the AR index could be a good candidate to measure acoustic diversities using partial correlations with the SNR as a control variable. Yet, research is still required to automatically compute the SNR in order to apply this index on a large data set of recordings. The results showed that these three temperate ponds host a high level of acoustic diversity in which the soundscapes were variable not only between but also within the ponds. The sources producing this diversity of sounds and the drivers of difference in daily song type richness variation both require further investigation. Such research would yield insights into the biodiversity and ecology of temperate ponds.

1 aDesjonquères, Camille1 aRybak, Fanny1 aDepraetere, Marion1 aGasc, Amandine1 aLe Viol, Isabelle1 aPavoine, Sandrine1 aSueur, Jerome uhttps://bio.acousti.ca/pt-pt/node/52593