02014nas a2200181 4500008004100000245006900041210006900110520144700179653001701626653002601643653001501669653001901684653001801703100002301721700001901744700002501763856004401788 2019 eng d00aBioacoustic monitoring of animal vocal behavior for conservation0 aBioacoustic monitoring of animal vocal behavior for conservation3 a

The popularity of bioacoustics for threatened species monitoring has surged. Large volumes of acoustic data can be collected autonomously and remotely with minimal human effort. The approach is commonly used to detect cryptic species and, more recently, to estimate abundance or density. However, the potential for conservation- relevant information to be derived from acoustic signatures associated with particular behavior is less well-exploited. Animal vocal behavior can reveal important informa- tion about critical life history events. In this study, we argue that the overlap of the disciplines of bioacoustics, vocal communication, and conservation behavior—thus, “acoustic conservation behavior”—has much to offer threatened species monitoring. In particular, vocalizations can serve as indicators of behavioral states and contexts that provide insight into populations as it relates to their conservation. We explore the information available from monitoring species' vocalizations that relate to repro- duction and recruitment, alarm and defense, and social behavior, and how this infor- mation could translate into potential conservation benefits. While there are still challenges to processing acoustic data, we conclude that acoustic conservation behavior may improve threatened species monitoring where vocalizations reveal behaviors that are informative for management and decision-making.

10abioacoustics10aconservation behavior10amonitoring10avocal behavior10avocalizations1 aTeixeira, Daniella1 aMaron, Martine1 aRensburg, Berndt, J. uhttps://bio.acousti.ca/pt-pt/node/5839402348nas a2200265 4500008004100000245008600041210006900127260001600196300001400212490000600226520155300232653001701785653002501802653001501827653001201842100001901854700002301873700002201896700002101918700002301939700002201962700002401984700002102008856005302029 2017 eng d00aMatlabHTK: a simple interface for bioacoustic analyses using hidden Markov models0 aMatlabHTK a simple interface for bioacoustic analyses using hidd cJan-05-2017 a615 - 6210 v83 a

1.Passive bioacoustic recording devices are now widely available and able to continuously record remotely located sites for extended periods, offering great potential for wildlife monitoring and management. Analysis of the huge data sets generated, in particular for specific biotic sound recognition, remains a critical bottleneck for widespread adoption of these technologies as current methods are labour intensive.

2. Several methods borrowed from speech processing frameworks, such as hidden Markov models, have been successful in analysing bioacoustic data, but the software implementations can be expensive and difficult to use for non-specialists involved in wildlife conservation. To remedy this, we present a software interface to a popular speech recognition system making it possible for non-experts to implement hidden Markov models for bioacoustic signal processing. Octave/Matlab functions are used to simplify the set-up and the definition of a bioacoustic signal recogniser as well as the analysis of the results.

3. We present the different functions as a workflow. To demonstrate how the package can be used, we give the results of an analysis of a bioacoustic monitoring data set to detect the nocturnal presence and behaviour of a cryptic seabird species, the common diving petrel Pelecanoides urinatrix urinatrix, from Northern New Zealand.


4. We show that the package MatlabHTK can be used efficiently to reconstruct the daily patterns of colony activity in the common diving petrel.

10abioacoustics10ahidden Markov models10amonitoring10aseabird1 aRanjard, Louis1 aReed, Benjamin, S.1 aLanders, Todd, J.1 aRayner, Matt, J.1 aFriesen, Megan, R.1 aSagar, Rachel, L.1 aDunphy, Brendon, J.1 aGaggiotti, Oscar uhttp://doi.wiley.com/10.1111/mee3.2017.8.issue-501436nas a2200217 4500008004100000022001300041245007300054210006900127260001600196300001400212490000600226520081400232653001701046653001701063653001701080653001501097653001501112653002101127100001701148856005301165 1998 eng d a1366638X00aAcoustic monitoring of Orthoptera and its potential for conservation0 aAcoustic monitoring of Orthoptera and its potential for conserva cJan-01-1998 a217 - 2230 v23 a

Songs of Orthoptera can be used for inventorying and monitoring of individual species and communities. Acoustic parameters such as carrier frequency and pulse rates allow the definition of recognizable taxonomic units (RTUs) which help to overcome the taxonomic impediment due to our scanty knowledge, particularly of tropical faunas. Bioacoustic diversity is a first estimate for species richness and provides baseline data which can be a prerequisite for conservation. Additional ecological and behavioural information such as habitat preference and singing schedules can be inferred. Many Orthoptera are sensitive indicator species for habitat quality in temperate and tropical ecosystems. Examples are given for evaluation of habitat quality and deterioration by acoustic detection of Orthoptera.

10abioacoustics10abiodiversity10aconservation10amonitoring10aOrthoptera10atropical forests1 aRiede, Klaus uhttp://link.springer.com/10.1023/A:1009695813606