Fledge or fail: Nest monitoring of endangered black-cockatoos using bioacoustics and open-source call recognition

[1]  M. McKenna,et al.  Monitoring the phenology of the wood frog breeding season using bioacoustic methods , 2021 .

[2]  H. Bailey,et al.  Identifying and predicting occurrence and abundance of a vocal animal species based on individually specific calls , 2021, Ecosphere.

[3]  M. Maron,et al.  Vocal signals of ontogeny and fledging in nestling black-cockatoos: Implications for monitoring , 2021, Bioacoustics.

[4]  R. Fuller,et al.  The Australian Acoustic Observatory , 2021, Methods in Ecology and Evolution.

[5]  C. Pérez‐Granados,et al.  Estimating bird density using passive acoustic monitoring: a review of methods and suggestions for further research , 2021, Ibis.

[6]  B. Law,et al.  Landscape monitoring reveals initial trends in occupancy and activity of bats in multiple‐use forests , 2020 .

[7]  Katie A. Kowarski,et al.  A review of big data analysis methods for baleen whale passive acoustic monitoring , 2020 .

[8]  M. Maron,et al.  Nest-associated vocal behaviours of the south-eastern red-tailed black cockatoo, Calyptorhynchus banksii graptogyne , and the Kangaroo Island glossy black cockatoo, C. lathami halmaturinus , 2020 .

[9]  P. Roe,et al.  Acoustic monitoring reveals year-round calling by invasive toads in tropical Australia , 2020 .

[10]  Katie M. Schroeder,et al.  Automated auditory detection of a rare, secretive marsh bird with infrequent and acoustically indistinct vocalizations , 2020 .

[11]  M. Maron,et al.  Bioacoustic monitoring of animal vocal behavior for conservation , 2019, Conservation Science and Practice.

[12]  Margot Brereton,et al.  Acoustic detection and acoustic habitat characterisation of the critically endangered white‐bellied heron (Ardea insignis) in Bhutan , 2018, Freshwater Biology.

[13]  Diego Llusia,et al.  Terrestrial Passive Acoustic Monitoring: Review and Perspectives , 2018, BioScience.

[14]  Erin M. Bayne,et al.  Classification threshold and training data affect the quality and utility of focal species data processed with automated audio-recognition software , 2018, Bioacoustics.

[15]  Stephen Marsland,et al.  Automated birdsong recognition in complex acoustic environments: a review , 2018 .

[16]  Erin M. Bayne,et al.  Utility of Automated Species Recognition For Acoustic Monitoring of Owls , 2018, Journal of Raptor Research.

[17]  M. Kinloch,et al.  From the brink of extinction: successful recovery of the glossy black-cockatoo on kangaroo Island , 2018 .

[18]  Erin M. Bayne,et al.  Recommendations for acoustic recognizer performance assessment with application to five common automated signal recognition programs , 2017 .

[19]  James D. Nichols,et al.  A new framework for analysing automated acoustic species detection data: Occupancy estimation and optimization of recordings post‐processing , 2017 .

[20]  Peter H. Wrege,et al.  Acoustic monitoring for conservation in tropical forests: examples from forest elephants , 2017 .

[21]  Erin M. Bayne,et al.  Autonomous recording units in avian ecological research: current use and future applications , 2017 .

[22]  Jeff Houlahan,et al.  Designing better frog call recognition models , 2017, Ecology and evolution.

[23]  R. Mulder,et al.  Comparing manual and automated species recognition in the detection of four common south-east Australian forest birds from digital field recordings , 2017 .

[24]  Steve Kelling,et al.  Towards the Automatic Classification of Avian Flight Calls for Bioacoustic Monitoring , 2016, PloS one.

[25]  T. Mitchell Aide,et al.  Improving distribution data of threatened species by combining acoustic monitoring and occupancy modelling , 2016 .

[26]  Christian C. Voigt,et al.  The use of automated identification of bat echolocation calls in acoustic monitoring: A cautionary note for a sound analysis , 2016 .

[27]  Therese M. Donovan,et al.  A comparison of acoustic monitoring methods for common anurans of the northeastern United States , 2016 .

[28]  Therese M. Donovan,et al.  Tools for automated acoustic monitoring within the R package monitoR , 2016 .

[29]  Therese M. Donovan,et al.  Assessment of Error Rates in Acoustic Monitoring with the R package monitoR , 2016 .

[30]  T. Penman,et al.  Optimizing ultrasonic sampling effort for monitoring forest bats , 2015 .

[31]  Alan E. Burger,et al.  Testing the effectiveness of automated acoustic sensors for monitoring vocal activity of Marbled Murrelets Brachyramphus marmoratus , 2015 .

[32]  P. Hart,et al.  Bioacoustics for species management: two case studies with a Hawaiian forest bird , 2015, Ecology and evolution.

[33]  Patricia W. Freeman,et al.  The Problem of Low Agreement among Automated Identification Programs for Acoustical Surveys of Bats , 2015 .

[34]  Hjalmar S. Kühl,et al.  Assessing the performance of a semi‐automated acoustic monitoring system for primates , 2015 .

[35]  Jennifer R. Foote,et al.  Comparison of autonomous and manual recording methods for discrimination of individually distinctive Ovenbird songs , 2015 .

[36]  Luciana H. S. Rocha,et al.  An evaluation of manual and automated methods for detecting sounds of maned wolves (Chrysocyon brachyurus Illiger 1815) , 2015 .

[37]  B. Furnas,et al.  Using automated recorders and occupancy models to monitor common forest birds across a large geographic region , 2015 .

[38]  Abraham L Borker,et al.  Vocal Activity as a Low Cost and Scalable Index of Seabird Colony Size , 2014, Conservation biology : the journal of the Society for Conservation Biology.

[39]  Mark J. Whittingham,et al.  The Use of Automated Bioacoustic Recorders to Replace Human Wildlife Surveys: An Example Using Nightjars , 2014, PloS one.

[40]  Michael W. Towsey,et al.  Ecology and acoustics at a large scale , 2014, Ecol. Informatics.

[41]  Karl-Heinz Frommolt,et al.  Applying bioacoustic methods for long-term monitoring of a nocturnal wetland bird , 2014, Ecol. Informatics.

[42]  Kelly Servick,et al.  Eavesdropping on ecosystems. , 2014, Science.

[43]  Paul Roe,et al.  Sampling environmental acoustic recordings to determine bird species richness. , 2013, Ecological applications : a publication of the Ecological Society of America.

[44]  Paul Roe,et al.  Timed Probabilistic Automaton: A Bridge between Raven and Song Scope for Automatic Species Recognition , 2013, IAAI.

[45]  P. Tyack,et al.  Estimating animal population density using passive acoustics , 2012, Biological reviews of the Cambridge Philosophical Society.

[46]  Paul Roe,et al.  A toolbox for animal call recognition , 2012 .

[47]  R. Harcourt,et al.  The influence of behavioural context on Weddell seal (Leptonychotes weddellii) airborne mother-pup vocalisation , 2011, Behavioural Processes.

[48]  T. Scott Brandes,et al.  Automated sound recording and analysis techniques for bird surveys and conservation , 2008, Bird Conservation International.

[49]  Helena Symonds,et al.  Vocal behavior of resident killer whale matrilines with newborn calves: the role of family signatures. , 2006, The Journal of the Acoustical Society of America.

[50]  Keping Ma,et al.  Evaluating the popularity of R in ecology , 2019, Ecosphere.

[51]  Janelle L. Morano,et al.  Building time-budgets from bioacoustic signals to measure population-level changes in behavior: a case study with sperm whales in the Gulf of Mexico , 2017 .

[52]  J. Poole Behavioral Contexts of Elephant Acoustic Communication , 2011 .

[53]  K. Payne Sources of social complexity in the three elephant species. , 2003 .