02461nas a2200289 4500008004100000245010600041210006900147260001600216520156100232653002401793653002101817653001401838653002801852653002501880653001701905653001501922653001801937100003001955700002101985700001802006700002202024700001702046700002302063700002502086700001902111856004102130 2018 eng d00aOptimization of sensor deployment for acoustic detection and localization in terrestrial environments0 aOptimization of sensor deployment for acoustic detection and loc cJun-10-20193 a

The rapid evolution in miniaturization, power efficiency and affordability of acoustic sensors, combined with new innovations in smart capability, are vastly expanding opportunities in ground-level monitoring for wildlife conservation at a regional scale using massive sensor grids. Optimal placement of environmen- tal sensors and probabilistic localization of sources have previously been consid- ered only in theory, and not tested for terrestrial acoustic sensors. Conservation applications conventionally model detection as a function of distance. We developed probabilistic algorithms for near-optimal placement of sensors, and for localization of the sound source as a function of spatial variation in sound pressure. We employed a principled-GIS tool for mapping soundscapes to test the methods on a tropical-forest case study using gunshot sensors. On hilly ter- rain, near-optimal placement halved the required number of sensors compared to a square grid. A test deployment of acoustic devices matched the predicted success in detecting gunshots, and traced them to their local area. The methods are applicable to a broad range of target sounds. They require only an empirical estimate of sound-detection probability in response to noise level, and a sound- scape simulated from a topographic habitat map. These methods allow conser- vation biologists to plan cost-effective deployments for measuring target sounds, and to evaluate the impacts of sub-optimal sensor placements imposed by access or cost constraints, or multipurpose uses.

10aacoustic monitoring10aacoustic sensors10aAudioMoth10aBiodiversity monitoring10aecosystem management10aoptimisation10aSoundscape10asubmodularity1 aPiña-Covarrubias, Evelyn1 aHill, Andrew, P.1 aPrince, Peter1 aSnaddon, Jake, L.1 aRogers, Alex1 aDoncaster, Patrick1 aPettorelli, Nathalie1 aGuillard, Jean uhttp://doi.wiley.com/10.1002/rse2.9702615nas a2200301 4500008004100000245008200041210006900123260001600192300000900208490000600217520172400223653001501947653001201962653002801974653001002002653002202012653001202034653003202046653002202078653001502100653002102115100001902136700002902155700003002184700002802214700002702242856004402269 2017 eng d00aSpecies Richness (of Insects) Drives the Use of Acoustic Space in the Tropics0 aSpecies Richness of Insects Drives the Use of Acoustic Space in  cJan-11-2017 a10960 v93 a

Acoustic ecology, or ecoacoustics, is a growing field that uses sound as a tool to evaluate animal communities. In this manuscript, we evaluate recordings from eight tropical forest sites that vary in species richness, from a relatively low diversity Caribbean forest to a megadiverse Amazonian forest, with the goal of understanding the relationship between acoustic space use (ASU) and species diversity across different taxonomic groups. For each site, we determined the acoustic morphospecies richness and composition of the biophony, and we used a global biodiversity dataset to estimate the regional richness of birds. Here, we demonstrate how detailed information on activity patterns of the acoustic community (<22 kHz) can easily be visualized and ASU determined by aggregating recordings collected over relatively short periods (4–13 days). We show a strong positive relationship between ASU and regional and acoustic morphospecies richness. Premontane forest sites had the highest ASU and the highest species richness, while dry forest and montane sites had lower ASU and lower species richness. Furthermore, we show that insect richness was the best predictor of variation in total ASU, and that insect richness was proportionally greater at high-diversity sites. In addition, insects used a broad range of frequencies, including high frequencies (>8000 Hz), which contributed to greater ASU. This novel approach for analyzing the presence and acoustic activity of multiple taxonomic groups contributes to our understanding of ecological community dynamics and provides a useful tool for monitoring species in the context of restoration ecology, climate change and conservation biology.

10aamphibians10aARBIMON10aBiodiversity monitoring10abirds10acommunity ecology10ainsects10apassive acoustic monitoring10arapid assessments10aSoundscape10aspecies richness1 aAide, Mitchell1 aHernández-Serna, Andres1 aCampos-Cerqueira, Marconi1 aAcevedo-Charry, Orlando1 aDeichmann, Jessica, L. uhttp://www.mdpi.com/2072-4292/9/11/109602999nas a2200241 4500008004100000022001400041245011700055210006900172260001600241300001400257490000700271520223100278653002602509653002802535653001502563653001002578653002302588100002702611700002502638700002202663700001702685856005502702 2014 eng d a1366-638X00aBaseline data for automated acoustic monitoring of Orthoptera in a Mediterranean landscape, the Hymettos, Greece0 aBaseline data for automated acoustic monitoring of Orthoptera in cJan-10-2014 a909 - 9250 v183 a

Acoustic emissions of animals serve communi- cative purposes and most often contain species-specific and individual information exploitable to listeners, rendering bioacoustics a valuable tool for biodiversity monitoring. Recording bioacoustic signals allows reproducible species identification. There is a great need for increased use and further development of automated animal sound recording and identification to improve monitoring efficiency and accuracy for the benefit of conservation. Greece, with its high number of endemic species, represents a hotspot for European Biodiversity, including Orthopteran insects. Songs of many Orthoptera might be employed for the inventorying and monitoring of individual species and communities. We assessed the regional spatio-temporal composition of Orthoptera species at the Hymettos near Athens, which is a Natura 2000 site under constant threat due to the surrounding megacity. Within the framework of the EU Life Plus funded AmiBio project, we documented the Orthopteran species’ habitat characteristics, their co-occurrence and phenology. We found, in total, 20 species with seven to ten Orthoptera at locations characterised by diverse vegetation patterns of perennial herbs and bushes. For the purposes of implemen- tation of an automated remote monitoring scheme, we identified sampling sites with high Orthopteran diversity, allowing the monitoring of all singing Orthoptera within single localities. By analysing sound depositories and adding recordings from new sample individuals, we established a song library as prerequisites for future automatic song detection. Based on our results, acoustic recording units have been placed at remote sites at the Hymettos. We discuss recommendations for further studies to fully employ the potential of automated acoustic monitoring of Orthoptera. A reliable assessment of singing Orthoptera needs recording units covering ultrasound. Due to high attenuation and absorbance by the vegetation, particularly of the high fre- quencies characterising Orthopteran songs, positioning of microphones at sites is critical: the microphone sensor net- work has to be an order of magnitude denser than for mon- itoring birds,

10aAutonomous monitoring10aBiodiversity monitoring10aOrthoptera10asound10awildlife recording1 aLehmann, Gerlind, U.C.1 aFrommolt, Karl-Heinz1 aLehmann, Arne, W.1 aRiede, Klaus uhttp://link.springer.com/10.1007/s10841-014-9700-2