Article

Article name REVIEW OF SOME ACTUAL METHODS OF STORAGE, PROCESSING AND ANALYSIS OF DATA FROM CAMERA TRAPS IN ZOOLOGICAL RESEARCH
Authors

Sergey S. Ogurtsov, Researcher of the Central Forest State Nature Biosphere Reserve; Russia, 172521, Tver region, Nelidovo district, Zapovednyi settlement; e-mail: etundra@mail.ru
Vladislav P. Volkov, Senior Researcher of the Central Forest State Nature Biosphere Reserve; Russia, 172521, Tver region, Nelidovo district, Zapovednyi settlement; e-mail: vladlenvolkov@list.ru
Anatoliy S. Zheltukhin, PhD, Deputy Director on Scientific work of the Central Forest State Nature Biosphere Reserve; Russia, 172521, Tver region, Nelidovo district, Zapovednyi settlement; e-mail: azheltukhin@mail.ru

Reference to article

Ogurtsov S.S., Volkov V.P., Zheltukhin A.S. 2017. Review of some actual methods of storage, processing and analysis of data from camera traps in zoological research. Nature Conservation Research 2(1): 73–98. https://dx.doi.org/10.24189/ncr.2017.057

Section Discussions
DOI https://dx.doi.org/10.24189/ncr.2017.057
Abstract

An overview of the main problems in collection, storage, processing and analysis of data obtained by camera traps is conducted. Basing on reviewed national papers related to this theme, the conclusion is drawn that there is need for a detailed description of methodological approaches and tools for data processing in national studies. The most common software among foreign researchers for camera trap data processing in biodiversity studies and conservation projects is presented. An overview of thematic software such as Photospread, Aardwolf, CameraTrapManager, MapView, CameraBase and DeskTEAM is provided. Advantages and disadvantages, as well as working methods are detailed in the study. The principles of image metadata storage, methods of extraction and processing are considered. Comparative analysis of the different software and approaches to use camera traps as a method of zoological research are provided. General recommendations regarding their use in protected areas are provided, illustrated by studies conducted in the Central Forest Reserve. The key characteristics of software for camera traps that should be considered when choosing a specific solution are identified. Primary characteristics are the ability to import all image metadata, quick and easy tagging, export to the majority of formats. Wishes to improve and discuss methodological approaches among national researchers are expressed. Despite a large variety of available technical means, the need to develop national software for working with camera trap data is separately noted. All listed software items are provided with download hyperlinks, and user's manual hyperlinks.

Keywords

camera traps, Central Forest Reserve, data processing, monitoring, non-invasive methods, software.

Artice information

Received: 21.09.2016

The full text of the article
References

Barrueto M., Clevenger A.P., Dorsey B., Ford A.T. 2013. A better solution for photo-classification, automatic storage and data input of camera data from wildlife crossing structures. In: International conference on ecology and transportation (ICOET 2013). Arizona, Scottsdale: No. Icoet. P. 1–11.
Bolger D.T., Morrison T.A., Vance B., Lee D., Farid H. 2012. A computer-assisted system for photographic mark-recapture analysis. Methods in Ecology and Evolution 3: 813–822.
Brilliantova A.M., Litvinova E.M., Hernandez Blanco J.A. 2016. Relations between the wolf and its victims: it is possible to peep using camera traps. In: Theriofauna of Russia and adjacent territories. International meeting. Moscow: Association of scientific editions KMK. P. 59. [In Russian]
Epova L.A., Babina S.G. 2015. Experience in the use of camera traps for the monitoring of large mammal populations in the «Kuznetsky Alatau» Reserve. In: Mountain ecosystems of Southern Siberia: the study, protection and rational use of natural resources. Proceedings of Tigireksky Reserve. Vol. 7. Barnaul. P. 270–275. [In Russian]
Esipov A.V., Golovtsov D.E., Bykova E.A. 2015. Materials to the fauna of mammals and birds, the western part of the Chatkal range according to camera traps. Bulletin of Tyumen State University. Ecology and nature 1 (1): 141–150. [In Russian]
Fegraus E.H., Lin K., Ahumada J.A., Baru C., Chandra S., Youn C. 2011. Data acquisition and management software for camera trap data: a case study from the TEAM Network. Ecological Informatics 6: 345–353.
Garms O.Ya. 2015. Some remarks about the behavior of prey on solonetz in Tigireksky reserve. In: Mountain ecosystems of Southern Siberia: the study, protection and rational use of natural resources. Proceedings Tigireksky reserve. Vol. 7. Barnaul. P. 74–76. [In Russian]
Harris G., Thompson R., Childs J.L., Sanderson J.G. 2010. Automatic storage and analysis of camera trap data. Bulletin of the Ecological Society of America 91: 352–360.
Hernandez-Blanco J.A., Lukarevsky V.S., Naydenko S.V., Sorokin P.A., Litvinov M.N., Chistopolova M.D., Kotlyar A.K., Roznov V.V. 2010. Experience with digital camera traps to identify tigers, evaluation of their activities and the use of the main routes of movement of animals. In: Amur tiger in Northeast Asia: problems of conservation in the XXI century: Materials of scientific-practical conference. Vladivostok: Dal'nauka. P. 100–102. [In Russian]
Jennelle C.S., Samuel M.D., Nolden C.A., Berkley E.A. 2009. Deer carcass decomposition and potential scavenger exposure to chronic wasting disease. The Journal of Wildlife Management 73: 655–662.
Kandel S., Abelson E.S., Garcia-Molina H., Paepcke A., Theobald M.M. 2008. PhotoSpread: a spreadsheet for managing photos. In: SIGCHI conference on human factors in computing systems. New York. P. 1749–1758.
Karanth K.U., Nichols J.D. 1998. Estimation of Tiger Densities in India Using Photographic Captures and Recaptures. Ecology 79 (8): 2852–2862.
Karnaukhov A.S., Poyarkov A.D., Aleksandrov D.Y., Vanisova E.A., Hernandez Blanco J.A., Chistopolova M.D., Roznov V.V. 2011. Using camera traps in the study of the species composition of mammals southwestern Tuva. In: Remote methods of research in zoology. Proceedings of the conference. Moscow: Association of scientific editions KMK. P. 31. [In Russian]
Kelly V.J. 2008. Design, evaluate, refine: camera trap studies for elusive species. Animal Conservation 11 (3): 182–184.
Kolchin S.A., Tkachenko K.N. 2011. The use of camera traps in the study of large carnivores in the southern Far East. In: Remote methods of research in zoology. Proceedings of the conference. Moscow: Association of scientific editions KMK. P. 33. [In Russian]
Kostyrya A.V., Belozerov A.A., Mikell D., Aramilev V.V., Kotlyar A.K. 2003.The use of camera traps for surveys of Amur tiger. In: Theriofauna Russia and adjacent territories (VII Congress of Theriological Society): Materials of Intern. owls. Moscow. P. 176–177. [In Russian]
Krishnappa Y.S., Turner W.C. 2014. Software for minimalistic data management in large camera trap studies. Ecological Informatics 24: 11–16.
Lu D., Weng Q. 2007. A survey of image classification methods and techniques for improving classification performance. International Journal of Remote Sensing 28: 823–870.
Maslov M.V. 2011. Changes in the number of red deer (Cervus elaphus (L.)) and Sika deer (Cervus nippon (Temm.)) on the territory of the Ussuri reserve. Proceedings of the Mordovia State Nature Reserve 9: 91–98. [In Russian]
Maslov M.V., Rozhnov V.V. 2011. Evaluation of morphological and size indicators for identification of species of sika deer (Cervus nippon) by using camera traps. In: Remote methods of research in zoology. Proceedings of the conference. Moscow: Association of scientific editions KMK. P. 49. [In Russian]
Matiukhina D.S., Vitkalova A.V., Rybin A.N., Aramilev V.V., Shevtsova E.I., Miquelle D.G. 2016. Camera-trap monitoring of Amur tiger (Panthera tigris altaica) in Southwest Primorsky Krai, 2013–2016: preliminary results. Nature Conservation Research 1 (3): 36–43.
Naydenko S.V., Maslov M.V., Hernandez Blanco J.A., Lukarevsky V.S., Sorokin P.A., Litvinov M.N., Kotlyar A.K., Roznov V.V. 2011. Using camera traps to estimate the number of ungulates. In: Remote methods of research in zoology. Proceedings of the conference. Moscow: Association of scientific editions KMK. P. 61. [In Russian]
O'Connell A.F., Nichols J.D., Ullas Karanth K. 2011. Camera traps in animal Ecology: Methods and Analyses, 1st Edition. New York: Springer. 271 p.
Ogurtsov S.S, Zheltukhin A.S. 2017. The use of camera traps to study the population groups of the brown bear (Ursus arctos L.) in the Central Forest Reserve. Zoological Journal 96 (3) (in press). [In Russian]
Ogurtsov S.S. 2012. Using camera traps as a tool to monitor the behavior of the brown bear (Ursus arctos L.). In: 5th All-Russian conference on animal behavior. Abstracts. Moscow: Association of scientific editions KMK. P. 135. [In Russian]
Owens M., Allen G. 2006. The Definitive Guide to SQLite, vol. 1. Berkley: Apress. 368 p.
Pchelkin A.V., Pchelkina T.A. 2015. Methodical aspects of use of cameras to study seasonal migration of Siberian roe (Capreolus pygargus Pall.) in Norsky Reserve. Problems of environmental monitoring and ecosystem modeling 26 (1): 145–159. [In Russian]
Pogodin N.L., Markov N.I. 2013. Analysis of the data structure of the elk population register camera traps. In: Save the diversity of animals and hunting. Proceedings of the 5th International scientific and practical conference. Moscow. P. 315–317. [In Russian]
Pokrovskaya L.V., Zhakov V.V., Pokrovsky I.G. 2016. Using the marking of trees and camera traps to estimate the relative abundance of the brown bear. In: Theriofauna of Russia and adjacent territories. International meeting. Moscow: Association of scientific editions KMK. P. 334. [In Russian]
Polkovnikova O.N., Polkovnikov I.L. 2015. The use of digital camera traps to monitor the tigers in the «Bastak» Reserve. In: Territorial studies: objectives, results and prospects. Abstracts of VIII All-Russian school-seminar of young scientists and students. Birobidzhan: Publisher of IKARP FEB RAS. P. 79–81. [In Russian]
Prasad S., Pittet A., Sukumar R. 2010. Who really ate the fruit? A novel approach to camera trapping for quantifying frugivory by ruminants. Ecological Research 25: 225–231.
Rovero F., Zimmermann F., Berzi D., Meek P. 2013. «Which camera trap type and how many do I need?» A review of camera features and study designs for a range of wildlife research applications. Hystrix 24: 148–156.
Roznov V.V., Naydenko S.V., Hernandez Blanco J.A., Lukarevsky V.S., Sorokin P.A., Maslov M.V., Litvinov M.N., Kotlyar A.K. 2012. Seasonal changes in food resources of the Amur tiger: the experience of the application of camera trapping matrix. Zoological Journal 91 (6): 643–647. [In Russian]
Rybin A.N., Skorodelov A.S., Kostyrya A.V., Mikell D.G., Aramilev V.V. 2005. Report on account of leopard using camera traps in southwest Primorsky Krai, Vladivostok winter 2005. 23 p. [In Russian]
Shakula G.V., Shakula V.F., Baskakova S.V. 2016. Experience in the use of camera traps for stationary studies of animals. In: Stationary environmental studies: experience, objectives, methodology, organization problems: Proceedings of the conference. Central Forest Reserve. Moscow: Association of scientific editions KMK. P. 199–203. [In Russian]
Silveira L. 2003. Camera trap, line transect census and track surveys: a comparative evaluation. Biological Conservation 114 (3): 351–355.
Simakin L.V. 2016. Remote monitoring of large mammals in the Pechora-Ilych Nature Reserve. In: Theriofauna of Russia and adjacent territories. International meeting. Moscow: Association of scientific editions KMK. P. 392. [In Russian]
Skinner John D., Chimimba Christian T. 2005. The mammals of the southern African sub-region. Cambridge University Press. Science. 814 p.
Solovyov V.A. 2011. Using camera traps to monitor hunting resources. In: Remote methods of research in zoology. Proceedings of the conference. Moscow: Association of scientific editions KMK. P. 90. [In Russian]
Steiniger S., Hay G.J. 2009. Free and open source geographic information tools for landscape ecology. Ecological Informatics 4 (4): 183–195.
Sukhorukov E.G. 2015. Experience camera trapping data in Tigireksky Reserve. In: Mountain ecosystems of Southern Siberia: the study, protection and rational use of natural resources. Proceedings Tigireksky reserve. Vol. 7. Barnaul. P. 77–79. [In Russian]
Sundaresan S.R., Riginos C., Abelson E.S. 2011. Management and analysis of camera trap data: alternative approaches (response to Harris et al., 2010). Bulletin of the Ecological Society of America 92: 188–195.
Sutyrina S.V., Riley M.D., Goodrich D.M., Seredkin I.V., Mikell D.G. 2013. Evaluation of the Amur tiger population using camera traps. Vladivostok: Dal'nauka. 156 p. [In Russian]
Sutyrina S.V., Riley M.D., Goodrich D.M., Seredkin I.V., Mikell D.G. 2011. Monitoring groups tiger southern Sikhote-Alin Reserve using camera traps. In: Remote methods of research in zoology. Proceedings of the conference. Moscow: Association of scientific editions KMK. P. 92. [In Russian]
Sydorchuk N.V., Roznov V.V. 2009. Using settlements European badger Meles meles in the Darwin Reserve. In: Behavior and behavioral ecology of mammals. Proceedings of the conference. Moscow: Association of scientific editions KMK. P. 30. [In Russian]
Sydorchuk N.V., Roznov V.V. 2010. The use of camera traps in the study of the daily activity of the European badger Meles meles in the settlements. In: Actual problems of ecology and evolution in the research of young scientists: Proceedings of the conference of young and graduate of the Institute of Ecology and Evolution A.N. Severtsov. Moscow. P. 313–317. [In Russian]
Sydorchuk N.V., Volchenko A.E., Roznov V.V. 2007. Experience in the use of camera traps in the study of behavioral ecology badger Meles meles. In: Theriofauna of Russia and adjacent territories (VIII Congress Theriological society). Proceedings of the International conference. Moscow: Association of scientific editions KMK. P. 455. [In Russian]
Teacher A.G.F., Griffiths D.J., Hodgson D.J., Inger R. 2013. Smartphones in ecology and evolution: A guide for the app-rehensive. Ecology and Evolution 3 (16): 5268–5278.
TEAM Network. 2011. Terrestrial Vertebrate (Camera Trap) Monitoring Protocol Implementation Manual. Virginia: Tropical Ecology Assessment and Monitoring Network, Centre for Applied Biodiversity Science. 69 p.
Tobler M. 2015. Camera Base. Version 1.7. User Guide. 38 p.
Turner W.C., Kausrud K.L., Krishnappa Y.S., Cromsigt J.P.G.M., Ganz H.H., Mapaure I., Cloete C.C., Havarua Z., Kusters M., Getz W.M., Stenseth N.C. 2014. Fatal attraction: vegetation responses to nutrient inputs attract herbivores to infectious anthrax carcass sites. Proceedings of the Royal Society B.: Biological Sciences 281 (1795): 20141785–20141785.
VerCauteren K.C., Burke P.W., Phillips G.E., Fischer J.W., Seward N.W., Wunder B.A., Lavelle M.J. 2007. Elk use ofwallows and potential chronic wasting disease transmission. Journal of Wildlife Diseases 43: 784–788.
Vitkalova A.V., Storozhuk V.B., Matyukhina D.S., Salmanova E.I. 2015. Monitoring of the population of Far Eastern leopards using automatic cameras. In: Modern technologies in protected areas of activity: GIS, remote sensing: Sat. scientific articles. Minsk: A.N. Varaksin. P. 44–45. [In Russian]
Vitkalova A.V., Shevtsova E.I. 2016. A complex approach to study the Amur leopard using camera traps in protected areas in the southwest of Primorsky Krai (Russian Far East). Nature Conservation Research 1 (3): 53–58.
Volkov E.V., Volkov A.E. 2015. Experience in the use of camera traps in the study of large terrestrial mammals of the National Park «Onega Pomorie». In: See and save. Environmental education and educational tourism in protected areas. Digest of articles. Moscow: EcoCentre «Zapovedniki». P. 49–53. [In Russian]
Zaragozí B., Belda A., Giménez P., Navarro J.T., Bonet A. 2015. Advances in camera-trap data management tools: Towards collaborative development and integration with GIS. Ecological Informatics 30: 6–11.
Zaragozí B., Belda A., Linares J., Martínez-Pérez J., Navarro J., Esparza J. 2012. A free and open source programming library for landscape metrics calculations. Environmental Modelling & Software 31: 131–140.
Zheltukhin A.S., Ogurtsov S.S., Puzachenko Y.G., Volkov V.P. 2016. Possibilities of use camera traps in stationary trials in the territory of reserves. In: Stationary environmental studies: experience, objectives, methodology, organization problems: Proceedings of the conference. Central Forest reserve. Moscow: Association of scientific editions KMK. P. 49–53. [In Russian]
Zheltukhin A.S., Puzachenko Y.G., Volkov V.P., Kotlov I.P., Zheltukhin S.A. 2011. Using Reconyx camera traps for monitoring of large mammal populations in the Central Forest Reserve. In: Remote methods of research in zoology. Proceedings of the conference. Moscow: Association of scientific editions KMK. P. 34. [In Russian]
Zheltukhin A.S., Zheltukhin S.A. 2014. On the daily activity of large mammals according to the registration of camera traps «Reconyx». In: Modern trends in the development of protected areas. Mat. scient. conference dedicated to the 20th anniversary of the reserve «Polistovsky». Velikie Luki. P. 59–64. [In Russian]