02694nas a2200121 4500008004100000245006900041210006800110300001100178490000700189520226300196100001702459856009602476 2018 eng d00aAcoustic profiling of Orthoptera: present state and future needs0 aAcoustic profiling of Orthoptera present state and future needs a203-250 v273 a

Bioacoustic monitoring and classification of animal communication signals has developed into a powerful tool for measuring and monitoring species diversity within complex communities and habitats. The high number of stridulating species among Orthoptera allows their detection and classification in a non-invasive and economic way, particularly in habitats where visual observations are difficult or even impossible, such as tropical rainforests. Major sound archives were queried for Orthoptera songs, with special emphasis on usability as reference training libraries for computer algorithms. Orthoptera songs are highly stereotyped, reliable taxonomic features. However, exploitation of songs for acoustic profiling is limited by the small number of reference recordings: existing song libraries represent only about 1000 species, mainly from Europe and North America, covering less than 10% of extant stridulating Orthoptera species. Available databases are fragmented and lack tools for song annotation and efficient feature-based searching. Results from recent bioacoustic surveys illustrate the potential of the method, but also the challenges and bottlenecks impeding further progress. A major problem is time-consuming data analysis of recordings. Computer-aided identification software exists for classification and identification of cricket and grasshopper songs, but these tools are still far from practical for field application.

A framework for acoustic profiling of Orthoptera should consist of the following components: (1) Protocols for standardized acoustic sampling, at species and community levels, using acoustic data loggers for autonomous long-term recordings; (2) Open access to and efficient management of song data and voucher specimens, involving the Orthoptera Species File (OSF) and Global Biodiversity Information Facility (GBIF); (3) An infrastructure for automatized analysis and song classification; and (4) Complementation and improvement of Orthoptera sound libraries using OSF as the taxonomic backbone and repository for representative song recordings. Taxonomists should be encouraged, or even obliged, to deposit original recordings, particularly if they form part of species descriptions or revisions.

1 aRiede, Klaus uhttps://bio.acousti.ca/content/acoustic-profiling-orthoptera-present-state-and-future-needs00983nas a2200109 4500008004100000245009700041210006900138520048600207100001700693700001500710856014800725 2013 eng d00aFurther Progress in Computational Bioacoustics needs Open Access and Registry of Sound Files0 aFurther Progress in Computational Bioacoustics needs Open Access3 a

Many  papers  on  computational  bioacoustics  refer  to  recordings  that  are  not  publicly  available.  This  practice  is  in  stark  contrast  to  other  disciplines  such  as  genetics,  where  deposition  of  sequences  in  publicly accessible databases is a prerequisite for publication in peer-reviewed journals.

1 aRiede, Klaus1 aJahn, Olaf uhttps://www.researchgate.net/publication/262723468_Further_Progress_in_Computational_Bioacoustics_needs_Open_Access_and_Registry_of_Sound_Files01436nas 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:100969581360602240nas a2200217 4500008004100000022001300041245008900054210006900143260001600212300001000228490000700238520156300245653002101808653002301829653002601852100002101878700002501899700001501924700001701939856006601956 2014 eng d a0003682X00aAutomatic bird sound detection in long real-field recordings: Applications and tools0 aAutomatic bird sound detection in long realfield recordings Appl cJan-06-2014 a1 - 90 v803 a

The primary purpose for pursuing this research is to present a modular approach that enables reliable automatic bird species identification on the basis of their sound emissions in the field. A practical and complete computer-based framework is proposed to detect and time-stamp particular bird species in continuous real field recordings. Acoustic detection of avian sounds can be used for the automatized monitoring of multiple bird taxa and querying in long-term recordings for species of interest for research- ers, conservation practitioners, and decision makers, such as environmental indicator taxa and threa- tened species. This work describes two novel procedures and offers an open modular framework that detects and time-stamps online calls and songs of target bird species and is fast enough to report results in reasonable time for non-processed field recordings of many thousands files and is generic enough to accommodate any species. The framework is evaluated on two large corpora of real field data, targeting the calls and songs of American Robin Turdus migratorius , a Northamerican oscine passerine (true song- bird) and the Common Kingfisher Alcedo atthis , a non-passerine species with a wide distribution through- out Eurasia and North Africa. With the aim of promoting the widespread use of digital autonomous recording units (ARUs) and species recognition technologies the processing code and a large corpus of audio recordings is provided in order to enable other researchers to perform and assess comparative experiments.

10abird recognition10abirdsong detection10acomputational ecology1 aPotamitis, Ilyas1 aNtalampiras, Stavros1 aJahn, Olaf1 aRiede, Klaus uhttp://linkinghub.elsevier.com/retrieve/pii/S0003682X1400002403186nas a2200217 4500008004100000022001400041245009400055210006900149260002000218300001400238490000700252520235400259653002602613653003602639653002702675653001202702653002302714653003002737100001702767856018402784 2016 eng d a1045-224900aNo phenotypic signature of acoustic competition in songs of a tropical cricket assemblage0 aNo phenotypic signature of acoustic competition in songs of a tr cJul-01-20162017 a211 - 2180 v273 a

Efficient acoustic communication in multispecies assemblages is challenging due to the presence of heterospecific signals. Masking
interference and signal confusion of similarly structured signals can impose fitness costs and, thus, drive evolutionary processes that
shape acoustic signals to reduce their overlap in signal space. Although the partitioning of signal space has been frequently studied
in frog and bird communities, this topic has received much less attention with reference to insects that communicate acoustically. In
this study, we examined the role of acoustic competition in a tropical cricket community and tested the following hypotheses: 1) cosig-
naling  species  are  expected  to  exhibit  more  dissimilar  calling  songs  as  compared  with  species  that  are  spatially  and/or  temporally 
separated  and  2)  species  signaling  with  similar  song  frequencies,  who  are  thereby  subject  to  energetic  masking,  are  more  likely  to 
differ  in  the  temporal  domain  of  their  calling  songs.  Using  non-metric  multidimensional  scaling  and  pairwise  comparison  methods  to 
measure  acoustic  dissimilarity,  we  found  no  evidence  for  either  hypothesis:  the  acoustic  signals  of  species  pairs  that  cosignaled  or 
used similar calling frequencies did not significantly differ from those of species that were spatially/temporally segregated or had large
song frequency differences. In conclusion, for the acoustically communicating cricket community investigated, no supportive evidence
for the partitioning hypothesis and the widespread belief that acoustic competition has led to divergent selection pressures on signal
structure to avoid masking interference was found. Instead, we argue that selection pressures on sensory/neuronal mechanisms seem
to more strongly drive reliable communication.

10aacoustic assemblages10aacoustic masking interference10aacoustic communication10ainsects10asignal divergence10asignal space partitioning1 aRiede, Klaus uhttps://academic.oup.com/beheco/article-lookup/doi/10.1093/beheco/arv141https://academic.oup.com/beheco/article/27/1/211/1744419/No-phenotypic-signature-of-acoustic-competition-in02575nas a2200133 4500008004100000245009000041210006900131260001600200300001400216490000700230520211800237100001702355856006902372 1987 eng d00aA Comparative Study of Mating Behaviour in Some Neotropical Grasshoppers (Acridoidea)0 aComparative Study of Mating Behaviour in Some Neotropical Grassh cDec-01-1987 a265 - 2960 v763 a

Aspects of premating and mating behaviour in several South American grasshopppers (Acridoidea) are described and compared. Examples of communication by acoustical, visual and chemical means are given.

Acoustic signals are emitted only by species of the subfamilies Gomphocerinae, Acridinae, Romaleinae and Copiocerinae. Each subfamily has distinct sound-producing mechanisms, and the songs occur in different behavioural contexts. In Gomphocerinae and Acridinae the sexes recognize and attract each other by species-specific songs produced by a femuro-tegminal stridulatory mechanism. In contrast, Romaleinae produce a simple song by rubbing the hindwings against the forewings. These songs are similar in different species and no attraction of females could be demonstrated, but the behaviour may function in male-male interaction and during copulation. Sexual pheromones also play a role in this subfamily. Acoustic activity during copulation has been observed in Aleuasini (Copiocerinae), but its function is still unclear.

No sound production at all exists in the Leptysminae, Rhytidochrotinae, Ommatolampinae, Melanoplinae, Proctolabinae and Bactrophorinae, but conspicuous movements of hindlegs (kneewaving) and antennae were observed. In some species these form part of a soundless courtship display.

Ecological constraints have little influence on the basic mating strategies: romaleine, gomphocerine and melanopline grasshoppers often coexist in various habitats, but show the divergent behaviour patterns characteristic of their respective subfamilies. Intrinsic factors of female reproductive physiology seem to be more important: a hormonally controlled reproductive cycle in gomphocerine females provides for only few short copulations, while romaleine females copulate frequently and longer. In Gomphocerinae and Acridinae, receptive females are rare (male-biased operational sex ratio) which leads to intense competition among males. It is hypothesized that this could be responsible for the high diversification of song and courtship patterns in these subfamilies.

1 aRiede, Klaus uhttp://blackwell-synergy.com/doi/abs/10.1111/eth.1987.76.issue-402999nas 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/s10841-014-9700-200557nas a2200157 4500008004100000022001400041245012800055210006900183260001600252300001200268490000700280100002200287700001700309700002200326856005100348 2016 eng d a1082-646700aThe Pink Katydids of Sabah (Orthoptera: Tettigoniidae: Phaneropterinae: Eulophophyllum) with Description of Two New Species0 aPink Katydids of Sabah Orthoptera Tettigoniidae Phaneropterinae  cJan-12-2016 a67 - 740 v251 aIngrisch, Sigfrid1 aRiede, Klaus1 aBeccaloni, George uhttp://www.bioone.org/doi/10.1665/034.025.0205