Camera traps in animal ecology and conservation: What's next?

As documented in the preceding chapters, the use of camera traps in animal ­ecology has undergone an appropriate and substantive evolution. This evolution has included the general uses of camera traps and the resulting data, as well as more specific topics such as equipment and statistical inference methods. Collectively, the contributions of this volume should not be viewed as an endpoint summary, but as a milestone along this evolutionary path. The various authors have attempted to briefly summarize that evolution, to describe current methods and uses of camera trap data, and to provide some new methods that we expect to see increased use in the future. In this chapter, we use the preceding chapters to provide brief summaries of the current state of the art and science of camera trap use and then provide speculation and recommendations about changes that we anticipate and hope for in the next decade. In terms of organization, we first focus on the overall uses of camera traps and resulting data, as these uses provide the framework needed to evaluate all further methodological developments. We then ­discuss equipment and finish with a review of statistical inference methods.

[1]  J. Norris,et al.  NONPARAMETRIC MLE UNDER TWO CLOSED CAPTURE-RECAPTURE MODELS WITH HETEROGENEITY , 1996 .

[2]  Akinori Takahashi,et al.  Krill-feeding behaviour of gentoo penguins as shown by animal-borne camera loggers , 2008, Polar Biology.

[3]  James D. Nichols,et al.  Monitoring of biological diversity in space and time , 2001 .

[4]  James D Nichols,et al.  Assessing tiger population dynamics using photographic capture-recapture sampling. , 2006, Ecology.

[5]  M. Efford Density estimation in live‐trapping studies , 2004 .

[6]  J. Nichols,et al.  IMPROVING INFERENCES IN POPULATION STUDIES OF RARE SPECIES THAT ARE DETECTED IMPERFECTLY , 2005 .

[7]  J. Andrew Royle,et al.  Hierarchical Modeling and Inference in Ecology: The Analysis of Data from Populations, Metapopulations and Communities , 2008 .

[8]  J. Nichols,et al.  Monitoring for conservation. , 2006, Trends in ecology & evolution.

[9]  C. Fonseca,et al.  Evaluation of Camera Trapping for Estimating Red Fox Abundance , 2009 .

[10]  Uma Ramakrishnan,et al.  Evaluation of non-invasive genetic sampling methods for estimating tiger population size , 2009 .

[11]  Dan MacIsaac Technology Review, published by MIT , 2009 .

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

[13]  Zhihai He,et al.  A new 'view' of ecology and conservation through animal-borne video systems. , 2007, Trends in ecology & evolution.

[14]  Marcella J. Kelly,et al.  COMPUTER-AIDED PHOTOGRAPH MATCHING IN STUDIES USING INDIVIDUAL IDENTIFICATION: AN EXAMPLE FROM SERENGETI CHEETAHS , 2001 .

[15]  Y. Naito,et al.  Penguin–mounted cameras glimpse underwater group behaviour , 2004, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[16]  K. Burnham,et al.  Robust Estimation of Population Size When Capture Probabilities Vary Among Animals , 1979 .

[17]  Marcella J. Kelly,et al.  Design, evaluate, refine: camera trap studies for elusive species , 2008 .

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

[19]  D L Borchers,et al.  Spatially Explicit Maximum Likelihood Methods for Capture–Recapture Studies , 2008, Biometrics.

[20]  Deborah Estrin,et al.  New Approaches in Embedded Networked Sensing for Terrestrial Ecological Observatories , 2007 .

[21]  PAUL M. LUKACS,et al.  RESEARCH NOTES: ESTIMATING POPULATION SIZE FROM DNA-BASED CLOSED CAPTURE–RECAPTURE DATA INCORPORATING GENOTYPING ERROR , 2005 .

[22]  K. U. Karanth,et al.  A tiger cannot change its stripes: using a three-dimensional model to match images of living tigers and tiger skins , 2009, Biology Letters.

[23]  J Andrew Royle,et al.  Spatially explicit inference for open populations: estimating demographic parameters from camera-trap studies. , 2010, Ecology.

[24]  J Andrew Royle,et al.  A hierarchical model for spatial capture-recapture data. , 2008, Ecology.

[25]  K. Ullas Karanth,et al.  Estimating tiger Panthera tigris populations from camera-trap data using capture-recapture models , 1995 .

[26]  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.

[27]  Marianne K. Soisalo,et al.  Estimating the density of a jaguar population in the Brazilian Pantanal using camera-traps and capture–recapture sampling in combination with GPS radio-telemetry , 2006 .

[28]  A. F. O'connell,et al.  Multi-scale occupancy estimation and modelling using multiple detection methods , 2008 .

[29]  Darryl I MacKenzie,et al.  Modeling species occurrence dynamics with multiple states and imperfect detection. , 2009, Ecology.

[30]  J. Nichols,et al.  Occupancy estimation and modeling with multiple states and state uncertainty. , 2007, Ecology.

[31]  S. Pledger Unified Maximum Likelihood Estimates for Closed Capture–Recapture Models Using Mixtures , 2000, Biometrics.

[32]  Raymond A. Webster,et al.  Modeling misidentification errors in capture-recapture studies using photographic identification of evolving marks. , 2009, Ecology.

[33]  J. Andrew Royle,et al.  Mixture Models for Estimating the Size of a Closed Population When Capture Rates Vary among Individuals , 2003, Biometrics.

[34]  J. Nichols,et al.  ESTIMATING RATES OF LOCAL SPECIES EXTINCTION, COLONIZATION, AND TURNOVER IN ANIMAL COMMUNITIES , 1998 .

[35]  Marcella J. Kelly,et al.  Ocelot Leopardus pardalis in Belize: the impact of trap spacing and distance moved on density estimates , 2007, Oryx.

[36]  J. Andrew Royle,et al.  Estimating Size and Composition of Biological Communities by Modeling the Occurrence of Species , 2005 .

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

[38]  J. Andrew Royle,et al.  A hierarchical model for estimating density in camera‐trap studies , 2009 .

[39]  James T. Peterson,et al.  Occupancy Estimation and Modeling Darryl I. MacKenzie James D. Nichols J. Andrew Royle Kenneth H. Pollock Larissa L. Bailey James E. Hines , 2006 .

[40]  Francis Daunt,et al.  Microhabitat use and prey capture of a bottom-feeding top predator, the European shag, shown by camera loggers , 2008 .

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

[42]  J Andrew Royle,et al.  Bayesian inference in camera trapping studies for a class of spatial capture-recapture models. , 2009, Ecology.