A picture is worth a thousand words: the application of camera trapping to the study of birds

Abstract This study reviews the use of remotely triggered still cameras, known as camera traps, in bird research and suggests new methods useful for analyzing camera trap data. Camera trapping may be most appropriate for large, ground-dwelling birds, such as cracids and pheasants. Recent applications include documentation of occurrence of rare species and new species records, nest predation studies and behavioural studies including nest defence, frugivory, seed dispersal, and activity budgets. If bird postures are analyzed, it may be possible to develop behavioural time budgets. If birds are marked or individually identifiable, abundance may be estimated through capture-recapture methods typically used for mammals. We discourage use of relative abundance indices based on trapping effort because of the difficulty of standardizing surveys over time and space. Using the Great Argus Pheasant Argus argusianus, a cryptic, terrestrial, forest bird as an example, we illustrate applications of occupancy analysis to estimate proportion of occupied habitat and finite mixture models to estimate abundance when individual identification is not possible. These analyses are useful because they incorporate detection probabilities < 1 and covariates that affect the sample site or the observation process. Results are from camera trap surveys in the 3,568 km2 Bukit Barisan Selatan National Park, Indonesia. We confirmed that Great Argus Pheasants prefer primary forest below 500 m. We also find a decline in occupancy (6–8% yr−1). Point estimates of abundance peak in 2000, followed by a sharp decline. We discuss the effects of rarity, detection probability and sampling effort on accuracy and precision of estimates.

[1]  D. Gaveau,et al.  Three decades of deforestation in southwest Sumatra: Have protected areas halted forest loss and logging, and promoted re-growth? , 2007 .

[2]  F. Rovero,et al.  Estimating the abundance of forest antelopes by line transect techniques: a case from the Udzungwa Mountains of Tanzania , 2004 .

[3]  Margaret F. Kinnaird,et al.  Crouching tigers, hidden prey: Sumatran tiger and prey populations in a tropical forest landscape , 2003 .

[4]  Masatoshi Yasuda,et al.  Who steals the fruits? Monitoring frugivory of mammals in a tropical rain-forest , 1997 .

[5]  P. Stephens,et al.  Estimating population density from indirect sign: track counts and the Formozov–Malyshev–Pereleshin formula , 2006 .

[6]  A. F. O'connell,et al.  Estimating Site Occupancy and Detection Probability Parameters for Meso- And Large Mammals in a Coastal Ecosystem , 2006 .

[7]  J. Rappole,et al.  Predation on artificial nests in large forest blocks , 1994 .

[8]  K. ESTIMATING TIGER Panthera tigris POPULATIONS FROM CAMERA-TRAP DATA USING CAPTURE RECAPTURE MODELS , 2022 .

[9]  David L. Borchers,et al.  Point transect sampling with traps or lures , 2006 .

[10]  G. Seber The estimation of animal abundance and related parameters , 1974 .

[11]  C. S. Robbins,et al.  The Breeding Bird Survey: Its First Fifteen Years, 1965-1979 , 1987 .

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

[13]  G. Canale,et al.  The Use of Camera-traps in a Survey of the Buff-headed Capuchin Monkey, Cebus Xanthosternos , 2022 .

[14]  Michelle Smith Edge effects on nest predators in two forested landscapes , 2004 .

[15]  J. Terborgh,et al.  Groves versus isolates: how spatial aggregation of Astrocaryum murumuru palms affects seed removal , 2002, Journal of Tropical Ecology.

[16]  K. Norris,et al.  Use of tracking strips and automatic cameras for detecting Critically Endangered Jerdon's coursers Rhinoptilus bitorquatus in scrub jungle in Andhra Pradesh, India , 2002, Oryx.

[17]  M. Conroy,et al.  Analysis and Management of Animal Populations , 2002 .

[18]  D. MacKenzie Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence , 2005 .

[19]  A. Perkins,et al.  Use of time-lapse video cameras to determine causes of nest failure of Slavonian Grebes Podiceps auritus , 2005 .

[20]  J. Nichols,et al.  ESTIMATING SITE OCCUPANCY, COLONIZATION, AND LOCAL EXTINCTION WHEN A SPECIES IS DETECTED IMPERFECTLY , 2003 .

[21]  J. Marzluff,et al.  RODENTS AS NEST PREDATORS: INFLUENCES ON PREDATORY BEHAVIOR AND CONSEQUENCES TO NESTING BIRDS , 2003 .

[22]  P. Pietz,et al.  PARENTAL NEST DEFENSE ON VIDEOTAPE: MORE REALITY THAN “MYTH“ , 2005 .

[23]  Lynn M. Schriml,et al.  A CAMERA STUDY OF TEMPORAL PATTERNS OF NEST PREDATION IN DIFFERENT HABITATS , 1994 .

[24]  N. Yoccoz Occupancy Estimation and Modeling. Inferring patterns and dynamics of species occurrence , 2006 .

[25]  Movements, Distribution, and Abundance of Great Argus Pheasants (Argusianus argus) in a Sumatran Rainforest , 2009 .

[26]  James E. Hines,et al.  Estimating rates of local extinction and colonization in colonial species and an extension to the metapopulation and community levels , 2003 .

[27]  C. P. Schaik,et al.  The Impact of Human Traffic on the Abundance and Activity Periods of Sumatran Rain Forest Wildlife , 1993 .

[28]  Darryl I. MacKenzie,et al.  Occupancy as a surrogate for abundance estimation , 2004, Animal Biodiversity and Conservation.

[29]  J. Andrew Royle,et al.  ESTIMATING SITE OCCUPANCY RATES WHEN DETECTION PROBABILITIES ARE LESS THAN ONE , 2002, Ecology.

[30]  J. Malcolm,et al.  VARIATION IN SMALL MAMMAL SPECIES RICHNESS BY TRAP HEIGHT AND TRAP TYPE IN SOUTHEASTERN AMAZONIA , 2005 .

[31]  David R. Anderson,et al.  Model selection and multimodel inference : a practical information-theoretic approach , 2003 .

[32]  Shunsuke Suzuki,et al.  Dispersal of Aglaia spectabilis, a large-seeded tree species in a moist evergreen forest in Thailand , 2004, Journal of Tropical Ecology.

[33]  Gerald A. Bartelt,et al.  Comparison of Neck Bands and Patagial Tags for Marking American Coots , 1980 .

[34]  J. Andrew Royle,et al.  ESTIMATING ABUNDANCE FROM REPEATED PRESENCE–ABSENCE DATA OR POINT COUNTS , 2003 .

[35]  J. Verner,et al.  Nest predators of open and cavity nesting birds in oak woodlands , 1999 .

[36]  J. Lind,et al.  Does an opportunistic predator preferentially attack nonvigilant prey? , 2003, Animal Behaviour.

[37]  Per Wegge,et al.  Effects of trapping effort and trap shyness on estimates of tiger abundance from camera trap studies , 2004 .

[38]  J. Andrew Royle N‐Mixture Models for Estimating Population Size from Spatially Replicated Counts , 2004, Biometrics.

[39]  Gary C. White,et al.  Aerial Mark-Recapture Estimates of Confined Mule Deer in Pinyon-Juniper Woodland , 1987 .

[40]  M. Linkie,et al.  Camera trapping rare and threatened avifauna in west-central Sumatra , 2008 .

[41]  Carel P. van Schaik,et al.  Activity Periods of Indonesian Rain Forest Mammals , 1996 .

[42]  U. Breitenmoser,et al.  BAITING RED FOXES IN AN URBAN AREA: A CAMERA TRAP STUDY , 2004 .

[43]  S. May,et al.  IDENTIFICATION OF NEST PREDATORS AT FARM/FOREST EDGE AND FOREST INTERIOR SITES , 2000 .

[44]  J. Liebezeit,et al.  Comparison of mechanically egg-triggered cameras and time-lapse video cameras in identifying predators at Dusky Flycatcher nests , 2003 .

[45]  F. Thompson,et al.  Predation of Songbird Nests Differs By Predator and Between Field and Forest Habitats , 2003 .

[46]  J. Nichols,et al.  Tigers and their prey: Predicting carnivore densities from prey abundance. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[47]  Jason M. Jones,et al.  GUIDELINES TO THE USE OF WILD BIRDS IN RESEARCH , 2010 .

[48]  L. Silveira,et al.  Camera trap, line transect census and track surveys: a comparative evaluation , 2003 .

[49]  Mark Bolton,et al.  Remote monitoring of nests using digital camera technology , 2007 .