Vocal Activity as a Low Cost and Scalable Index of Seabird Colony Size

Although wildlife conservation actions have increased globally in number and complexity, the lack of scalable, cost-effective monitoring methods limits adaptive management and the evaluation of conservation efficacy. Automated sensors and computer-aided analyses provide a scalable and increasingly cost-effective tool for conservation monitoring. A key assumption of automated acoustic monitoring of birds is that measures of acoustic activity at colony sites are correlated with the relative abundance of nesting birds. We tested this assumption for nesting Forster's terns (Sterna forsteri) in San Francisco Bay for 2 breeding seasons. Sensors recorded ambient sound at 7 colonies that had 15-111 nests in 2009 and 2010. Colonies were spaced at least 250 m apart and ranged from 36 to 2,571 m(2) . We used spectrogram cross-correlation to automate the detection of tern calls from recordings. We calculated mean seasonal call rate and compared it with mean active nest count at each colony. Acoustic activity explained 71% of the variation in nest abundance between breeding sites and 88% of the change in colony size between years. These results validate a primary assumption of acoustic indices; that is, for terns, acoustic activity is correlated to relative abundance, a fundamental step toward designing rigorous and scalable acoustic monitoring programs to measure the effectiveness of conservation actions for colonial birds and other acoustically active wildlife.

[1]  J. Ackerman,et al.  Postfledging Forster's Tern Movements, Habitat Selection, and Colony Attendance in San Francisco Bay , 2009 .

[2]  J. Nichols,et al.  ESTIMATION OF TIGER DENSITIES IN INDIA USING PHOTOGRAPHIC CAPTURES AND RECAPTURES , 1998 .

[3]  C. Donlan,et al.  High-impact Conservation: Invasive Mammal Eradications from the Islands of Western México , 2008, Ambio.

[4]  T. Ryan,et al.  Forster’s Tern, Caspian Tern, and California Gull Colonies in San Francisco Bay: Habitat Use, Numbers and Trends, 1982-2003 , 2004 .

[5]  Andreas M. Ali,et al.  Acoustic monitoring in terrestrial environments using microphone arrays: applications, technological considerations and prospectus , 2011 .

[6]  Steven J. Schwager,et al.  Acoustic estimation of wildlife abundance: methodology for vocal mammals in forested habitats , 2009 .

[7]  Mark Carey The effects of investigator disturbance on procellariiform seabirds: A review , 2009 .

[8]  Thierry Aubin,et al.  SEEWAVE, A FREE MODULAR TOOL FOR SOUND ANALYSIS AND SYNTHESIS , 2008 .

[9]  H. Possingham,et al.  Monitoring does not always count. , 2010, Trends in ecology & evolution.

[10]  Jay Barlow,et al.  ESTIMATES OF SPERM WHALE ABUNDANCE IN THE NORTHEASTERN TEMPERATE PACIFIC FROM A COMBINED ACOUSTIC AND VISUAL SURVEY , 2005 .

[11]  Shinichi Nakagawa,et al.  A general and simple method for obtaining R2 from generalized linear mixed‐effects models , 2013 .

[12]  Murray G. Efford,et al.  Bird population density estimated from acoustic signals , 2009 .

[13]  M. Harris,et al.  Seabird monitoring handbook for Britain and Ireland: a compilation of methods for survey and monitoring of breeding seabirds , 1995 .

[14]  J. Ackerman,et al.  Colony Attendance Patterns by Mated Forster's Terns Sterna forsteri Using an Automated Data-Logging Receiver System , 2010 .

[15]  K. Rosenberg,et al.  Ivory-billed Woodpecker (Campephilus principalis) Persists in Continental North America , 2005, Science.

[16]  Duane R. Diefenbach,et al.  INCORPORATING AVAILABILITY FOR DETECTION IN ESTIMATES OF BIRD ABUNDANCE , 2007 .

[17]  Peter Arzberger,et al.  New Eyes on the World: Advanced Sensors for Ecology , 2009 .

[18]  J. Piatt,et al.  VARIABILITY IN COLONY ATTENDANCE OF CREVICE-NESTING HORNED PUFFINS: IMPLICATIONS FOR POPULATION MONITORING , 2005 .

[19]  Laszlo Nagy,et al.  Why most conservation monitoring is, but need not be, a waste of time. , 2006, Journal of environmental management.

[20]  I. Cuthill,et al.  Spotting the difference: towards fully-automated population monitoring of African penguins Spheniscus demersus , 2010 .

[21]  C. Barbraud,et al.  Estimating the Sizes of Large Gull Colonies Taking into Account Nest Detection Probability , 2005 .

[22]  E. Vidal,et al.  Yelkouan shearwater Puffinus yelkouan presence and behaviour at colonies: not only a moonlight question. , 2008, Comptes rendus biologies.

[23]  Alison J. Stattersfield,et al.  Seabird conservation status, threats and priority actions: a global assessment , 2012, Bird Conservation International.

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

[25]  Michael W. Parker,et al.  Assessment of Social Attraction Techniques Used to Restore a Common Murre Colony in Central California , 2007 .

[26]  H. Carter,et al.  Recovery of a threatened seabird after eradication of an introduced predator: Eight years of progress for Scripps’s murrelet at Anacapa Island, California , 2013 .

[27]  Jill L. Deppe,et al.  Using soundscape recordings to estimate bird species abundance, richness, and composition , 2009 .

[28]  Eve McDonald-Madden,et al.  Uncertainty and adaptive management for biodiversity conservation , 2011 .

[29]  Daniel J. Mennill,et al.  Comparison of manual and automated methods for identifying target sounds in audio recordings of Pileated, Pale-billed, and putative Ivory-billed woodpeckers , 2009 .

[30]  J. Piatt,et al.  Colony attendance and population monitoring of least and crested auklets on St. Lawrence Island, Alaska , 1990 .

[31]  B. Efron Estimating the Error Rate of a Prediction Rule: Improvement on Cross-Validation , 1983 .

[32]  D K Mellinger,et al.  Recognizing transient low-frequency whale sounds by spectrogram correlation. , 2000, The Journal of the Acoustical Society of America.

[33]  Robert W. Howe,et al.  Detecting tropical nocturnal birds using automated audio recordings , 2011 .

[34]  Shannon Rankin,et al.  Acoustic detection and satellite-tracking leads to discovery of rare concentration of endangered North Pacific right whales , 2006, Biology Letters.

[35]  Luis J. Villanueva-Rivera,et al.  Using Automated Digital Recording Systems as Effective Tools for the Monitoring of Birds and Amphibians , 2006 .

[36]  John A. S. Hall Vocal Repertoire of Forster's Tern , 1998 .

[37]  M. Mckown Acoustic communication in colonial seabirds: Individual, sexual, and species-specific variation in acoustic signals of Pterodroma petrels , 2008 .

[38]  Rachel T. Buxton,et al.  Measuring nocturnal seabird activity and status using acoustic recording devices: applications for island restoration , 2012 .

[39]  Mollie E. Brooks,et al.  Generalized linear mixed models: a practical guide for ecology and evolution. , 2009, Trends in ecology & evolution.

[40]  K. Pollock,et al.  EXPERIMENTAL ANALYSIS OF THE AUDITORY DETECTION PROCESS ON AVIAN POINT COUNTS , 2007 .

[41]  Bird reactions to observer clothing color : Implications for distance-sampling techniques , 1997 .