02615nas 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/2072-4292/9/11/109602670nas a2200229 4500008004100000245013000041210006900171260001600240490000600256520187100262653001402133653001402147653003202161653002102193653002102214653001802235100002202253700001802275700001702293700002502310856010502335 2018 eng d00aAcoustic indices as rapid indicators of avian diversity in different land-use types in an Indian biodiversity hotspotAbstract0 aAcoustic indices as rapid indicators of avian diversity in diffe cJan-18-20180 v23 a

Passive acoustic monitoring is a potentially valuable tool in biodiversity hotspots, where surveying can occur at large scales across land conversion types. However, in order to extract meaningful biological information from resulting enormous acoustic datasets, rapid analytical techniques are required. Here we tested the ability of a suite of acoustic indices to predict avian bioacoustic activity in recordings collected from the Western Ghats, a biodiversity hotspot in southwestern India. Recordings were collected at 28 sites in a range of land-use types, from tea, coffee, and cardamom plantations to remnant forest stands. Using 36 acoustic indices we developed random forest models to predict the richness, diversity, and total number of avian vocalizations observed in recordings. We found limited evidence that acoustic indices predict the richness and total number of avian species vocalizations in recordings (R2 < 0.51). However, acoustic indices predicted the diversity of avian species vocalizations with high accuracy (R2 = 0.64, mean squared error = 0.17). Index models predicted low and high diversity best, with the highest residuals for medium diversity values and when continuous biological sounds were present (e.g., insect sounds >8 sec). The acoustic complexity index and roughness index were the most important for predicting avian vocal diversity. Avian species richness was generally higher among shade-grown crops than in the open tea plantation. Our results suggest that models incorporating acoustic indices can accurately predict low and high avian species diversity from acoustic recordings. Thus, ecoacoustics could be an important contributor to biodiversity monitoring across landscapes like the Western Ghats, which are a complex mosaic of different land-use types and face continued changes in the future.

10adiversity10alandscape10apassive acoustic monitoring10ashade-grown crop10aspecies richness10aWestern Ghats1 aAgnihotri, Samira1 aRobin, V., V.1 aGoel, Anurag1 aBalakrishnan, Rohini uhttps://www.veruscript.com/journals/journal-of-ecoacoustics/acoustic-diversity-in-an-indian-hotspot/02616nas a2200301 4500008004100000245008200041210006900123260001600192300000900208490000600217520172400223653001501947653001201962653002801974653001002002653002202012653001202034653003202046653002202078653001602100653002102116100001902137700002902156700003002185700002802215700002702243856004402270 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 assessments10asoundscapes10aspecies richness1 aAide, Mitchell1 aHernández-Serna, Andres1 aCampos-Cerqueira, Marconi1 aAcevedo-Charry, Orlando1 aDeichmann, Jessica, L. uhttp://www.mdpi.com/2072-4292/9/11/1096