Camera traps were used for to register avifauna in the mountain forests of the Southern Urals. Thirty one bird species were registered, among them blackbird (Turdus merula L.), which is relatively rare register in traditional route accounting methods. In the surveyed areas, blackbird was recorded in five out of eight habitats. The obtained results show that camera trapping surveys can provide high-fidelity and high-volume data on species diversity and distribution, which can make a significant contribution to biodiversity monitoring and regional bird inventories.
2020. T. 125. Vyp. 1.
2020. T. 125. Vyp. 1.
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Experience of Using Camera Trapping to Study Birds
References
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Список литературы
- Киселева Н.В., Сорокин П.А. Изучение распространения куньих на Южном Урале с помощью неинвазивных методов // Сиб. экол. журн. 2013. № 3. C. 391–398 (DOI 10.1134/S1995425513030098) [Kiseleva N.V., Sorokin P.A. Izuchenie rasprostraneniya kun’ikh na Yuzhnom Urale s pomoshch’yu neinvazivnykh metodov // Sib. ekol. zhurn. 2013. № 3. S. 391–398 (DOI 10.1134/S1995425513030098)].
- Степанян Л.С. Конспект орнитологической фауны СССР. М., 1990. 728 с. [Stepanyan L.S. Konspekt ornitologicheskoj fauny SSSR. M., 1990. 728 s.].
- Kays R.W., Slauson K.M. Remote cameras // Noninvasive Survey Methods for Carnivores. Washington, 2008. P. 110–140.
- Qianwen Z., Yuening G., Xiangjin S., Xincai W., Changteng Y., Zufei S., Fasheng Z. Comparing the effectiveness of camera trapping to traditional methods for biodiversity surveys of forest birds // Biodiversity Science. 2017. Vol. 25. N 10. P. 1114–1122 (DOI 10.17520/biods.2017057).
- González-Esteban J., Villate I., Irizar I. Assessing camera traps for surveying the European mink, Mustela lutreola (Linnaeus, 1761), distribution // Eur. J. Wildl. Res. 2004. Vol. 50. P. 33–36 (DOI 10. 1007/~10344-003-003I – y).
- Heilbrun R.D., Silvy N.J., Peterson M.J., Tewes M.E. Estimating bobcat abundance using automatically triggered cameras // Wildl. Soc. Bull. 2006. Vol. 34. N 1. P. 69–73.
- Gil-Sánchez J.M., Moral M., Bueno J., Rodríguez-Siles J., Lillo S., Pérez J., Martín J.M., Valenzuela G., Garrote G., Torralba B., Simón-Mat M.A. The use of camera trapping for estimating Iberian lynx (Lynx pardinus) home ranges // Eur. J. Wildl. Res. 2011. Vol. 57. N 6. P. 1203–1211 (DOI 10.1007/s10344-011-0533-y).
- O’Brien T. G., Kinnaird M. F. A picture is worth a thousand words: the application of camera trapping to the study of birds // Bird Conserv. Inter. 2008. Vol. 18. P. 144–162 (DOI 10.1017/S0959270908000348).
- Sollmann R., Mohamed A., Samejima H., Wilting A. Risky business or simple solution – Relative abundance indices from camera-trapping // Biol. Consv. 2013. Vol. 159. P. 405–412.
- Martyr D. Important findings by FFI team in Kerenci Seblat, Sumatra, Indonesia // Oryx, 1997. Vol. 31. P. 80–82.
- Dinata Y., Nugroho A., Haidir A., Linkie I. M. Camera trapping rare and threatened avifauna in west central Sumatra // Bird Conserv. Inter. 2008. Vol. 18. P. 30–37.
- Bradley J.E., Marzluff J.M. Rodents as nest predators: Influences on predatory behavior and consequences to nesting birds // Auk. 2003. Vol. 120. P. 1180–1187.
- Pietz P.J., Granfors D.A. Parental nest defense on videotape: More reality than ‘‘myth’’// Auk. 2005. Vol. 122. P. 701–705.
- Jeganathan P., Green R.E., Bowden C.G.R., Pain D., Rahmani A. Use of tracking strips and automatic cameras for detecting critically endangered Jerdon’s coursers Rhinoptilus bitorquatus in scrub jungle in Andhra Pradesh, India // Oryx. 2002. Vol. 36. P. 182–188.
- Bolton M., Butcher N., Sharpe F., Stevens D., Fisher G. Remote monitoring of nests using digital camera technology // J. Field Ornithol. 2007. Vol. 78. P. 213–220.
- O’Brien T.G., Kinnaird M.F. Density estimation of sympatric carnivores using spatially explicit capture-recapture methods and standard trapping grid // Ecol. Appl. 2011. Vol. 21. N 8. P. 2908–2916.
- Pollock K.H., Nichols J.D., Simons T.R., Farnsworth G.L., Bailey L.L., Sauer J.R. Large scale wildlife monitoring studies: statistical methods for design and analysis // Enwironmetrics. 2002. Vol. 13. N 2. P. 105–119 (doi.org/10.1002/env.514).