Camera traps is an important wildlife inventory tool for estimating species diversity at a site. Knowing what minimum trapping effort is needed to detect target species is also important to designing efficient studies, considering both the number of camera locations, and survey length. Here, we take advantage of a two-year camera trapping dataset from a small (24-ha) study plot in Gutianshan National Nature Reserve, eastern China to estimate the minimum trapping effort actually needed to sample the wildlife community. We also evaluated the relative value of adding new camera sites or running cameras for a longer period at one site. The full dataset includes 1727 independent photographs captured during 13,824 camera days, documenting 10 resident terrestrial species of birds and mammals. Our rarefaction analysis shows that a minimum of 931 camera days would be needed to detect the resident species sufficiently in the plot, and c. 8700 camera days to detect all 10 resident species. In terms of detecting a diversity of species, the optimal sampling period for one camera site was c. 40, or long enough to record about 20 independent photographs. Our analysis of evaluating the increasing number of additional camera sites shows that rotating cameras to new sites would be more efficient for measuring species richness than leaving cameras at fewer sites for a longer period.
References
[1]
Adler PB, White EP, Lauenroth WK, Kaufman DM, Rassweiler A, Rusak JA. 2005. Evidence for a general species-time-area relationship. Ecology 86:2032-2039
[2]
Azlan JM. 2006. Mammal diversity and conservation in a secondary forest in Peninsular Malaysia. Biodiversity and Conservation 15:1013-1025
[3]
Barkman JJ. 1989. A critical evaluation of minimum area concepts. Plant Ecology 85:89-104
[4]
Chao A. 1987. Estimating the population size for capture–recapture data with unequal catchability. Biometrics 43:783-791
[5]
Chen GK, Kéry M, Zhang JL, Ma KP. 2009. Factors affecting detection probability in plant distribution studies. Journal of Ecology 97:1383-1389
[6]
Colwell RK. 2013. EstimateS: statistical estimation of species richness and shared species from samples (EstimateS 9.1.0 User’s Guide). Available at http://viceroy.eeb.uconn.edu/estimates/ (accessed 16 April 2014)
[7]
Colwell RK, Coddington JA. 1994. Estimating terrestrial biodiversity through extrapolation. Philosophical Transactions of the Royal Society of London, Series B: Biological Sciences 345:101-118
[8]
Cutler TL, Swann DE. 1999. Using remote photography in wildlife ecology: a review. Wildlife Society Bulletin 27:571-581
[9]
Daubenmire RF. 1968. Plant communities: a textbook of plant synecology. New York: Harper & Row Press.
[10]
Dong L. 1990. Fauna of Zhejiang: mammalia. Hangzhou: Zhejiang Science and Technology Publishing House. (in Chinese)
[11]
Dorazio RM, Royle JA, Sderstrm B, Glimskr A. 2006. Estimating species richness and accumulation by modeling species occurence and detectability. Ecology 87:842-854
Goswami VR, Lauretta MV, Madhusudan MD, Karanth KU. 2012. Optimizing individual identification and survey effort for photographic capture–recapture sampling of species with temporally variable morphological traits. Animal Conservation 15:174-183
[14]
Gotelli NJ, Colwell RK. 2001. Quantifying biodiversity: procedures and pitfalls in the measurement and comparison of species richness. Ecology Letters 4:379-391
[15]
Gotelli NJ, Graves GR. 1996. Null models in ecology. Washington, DC: Smithsonian Institution Press.
[16]
Hopkins B. 1957. The concept of minimal area. Journal of Ecology 45:441-449
[17]
James FC, Rathbun S. 1981. Rarefaction, relative abundance, and diversity of avian communities. The Auk 98:785-800
[18]
Karanth KU, Nichols JD. 1998. Estimation of tiger densities in India using photographic captures and recaptures. Ecology 79:2852-2862
[19]
Kauffman MJ, Sanjayan M, Lowenstein J, Nelson A, Jeo RM, Crooks KR. 2007. Remote camera-trap methods and analyses reveal impacts of rangeland management on Namibian carnivore communities. Oryx 41:70-78
[20]
Kays R, Kranstauber B, Jansen P, Carbone C, Rowcliffe M, Fountain T, Tilak S. 2009. Camera traps as sensor networks for monitoring animal communities. In: Proceeding of the 4th IEEE international workshop on practical issues in building sensor network applications (SenseApp) and the IEEE 34th conference on local computer network (LCN 2009). Zurich, Switzerland. 811-818 Available at http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5355046
[21]
Legendre P, Mi X, Ren H, Ma K, Yu M, Sun IF, He F. 2009. Partitioning beta diversity in a subtropical broad-leaved forest of China. Ecology 90:663-674
[22]
Li S, McShea WJ, Wang D, Shao L, Shi X. 2010. The use of infrared-triggered cameras for surveying phasianids in Sichuan Province, China. Ibis 152:299-309
[23]
Liu X, Swenson NG, Wright SJ, Zhang L, Song K, Du Y, Zhang J, Mi X, Ren H, Ma K. 2012. Covariation in plant functional traits and soil fertility within two species-rich forests. PLoS ONE 7:e34767
[24]
Long RA, Paula M, Zielinski WJ, Ray JC. 2008. Noinvasive survey methods for North American carnivores. Washington, DC: Island Press.
[25]
MacKenzie DI, Nicholas JD, Royle JA, Pollock KH, Bailey LL, Hines JE. 2006. Occupancy estimation and modeling: inferring patterns and dynamics of species occurrence. Amsterdam: Academic Press.
[26]
Maffei L, Cuéllar E, Noss A. 2004. One thousand jaguars (Panthera onca) in Bolivia’s Chaco? Camera trapping in the Kaa-Iya National Park. Journal of Zoology 262:295-304
[27]
Maffei L, Noss AJ, Cuéllar E, Rumiz DI. 2005. Ocelot (Felis pardalis) population densities, activity, and ranging behaviour in the dry forests of eastern Bolivia: data from camera trapping. Journal of Tropical Ecology 21:349-353
[28]
O’Brien TG, Kinnaird MF, Wibisono HT. 2003. Crouching tigers, hidden prey: Sumatran tiger and prey populations in a tropical forest landscape. Animal Conservation 6:131-139
[29]
O’Connell AF, Nichols JD, Karanth KU. 2011. Camera traps in animal ecology: methods and analyses. New York: Springer-Verlag.
[30]
Oksanen J, Blanchet FG, Kindt R, Lengendre P, Minchin PR, O’Hara RB, Simpson GL, Solymos P, Stevens MHH, Helene W. 2013. vegan: community ecology package. Available at http://CRAN.R-project.org/package=vegan (accessed 15 November 2013)
[31]
Otis DL, Burnham KP, White GC, Anderson DR. 1978. Statistical inference from capture data on closed animal populations. Wildlife Monographs 62:3-135
[32]
R Development Core Team. 2010. R: a language and environment for statistical computing. Vienna: the R Foundation for Statistical Computing. Available at http://www.r-project.org (accessed 15 March 2014)
[33]
Rovero F, Marshall AR. 2009. Camera trapping photographic rate as an index of density in forest ungulates. Journal of Applied Ecology 46:1011-1017
[34]
Rowcliffe JM, Carbone C, Jansen PA, Kays R, Kranstauber B. 2011. Quantifying the sensitivity of camera traps: an adapted distance sampling approach. Methods in Ecology and Evolution 2:464-476
[35]
Rowcliffe JM, Field J, Turvey ST, Carbone C. 2008. Estimating animal density using camera traps without the need for individual recognition. Journal of Applied Ecology 45:1228-1236
[36]
Seki SI. 2010. Camera-trapping at artificial bathing sites provides a snapshot of a forest bird community. Journal of Forest Research 15:307-315
[37]
Silveira L, Jacomo ATA, Diniz-Filho JAF. 2003. Camera trap, line transect census and track surveys: a comparative evaluation. Biological Conservation 114:351-355
[38]
Silver SC, Ostro LET, Marsh LK, Maffei L, Noss AJ, Kelly MJ, Wallace RB, Gómez H, Ayala G. 2004. The use of camera traps for estimating jaguar Panthera onca abundance and density using capture/recapture analysis. Oryx 38:148-154
[39]
Simberloff D. 1978. Use of rarefaction and related methods in ecology. In: Dickson KL, Cairns J, Livingston RJ, eds. Biological data in water pollution assessment: quantitative and statistical analyses. Philadelphia, PA: American Society for Testing and Materials. 150-165
[40]
Soberón MJ, Llorente BJ. 1993. The use of species accumulation functions for the prediction of species richness. Conservation Biology 7:480-488
[41]
Tobler MW, Carrillo-Percastegui SE, Leite PR, Mares R, Powell G. 2008. An evaluation of camera traps for inventorying large- and medium-sized terrestrial rainforest mammals. Animal Conservation 11:169-178
[42]
Trolle M, Kéry M. 2003. Estimation of ocelot density in the Pantanal using capture–recapture analysis of camera-trapping data. Journal of Mammalogy 84:607-614
[43]
Trolle M, Kéry M. 2005. Camera-trap study of ocelot and other secretive mammals in the northern Pantanal. Mammalia 69:405-412
[44]
Wegge P, Pokheral CP, Jnawali SR. 2004. Effects of trapping effort and trap shyness on estimates of tiger abundance from camera trap studies. Animal Conservation 7:251-256
[45]
Whittaker RH. 1980. Classification of plant communities. The Hague: Dr W. Junk bv Publishers.
[46]
Williams BK, Nichols JD, Conroy MJ. 2002. Analysis and management of animal populations: modeling, estimation, and decision making. San Diego: Academic Press.
[47]
Yasuda M. 2004. Monitoring diversity and abundance of mammals with camera traps: a case study on Mount Tsukuba, central Japan. Mammal Study 29:37-46
[48]
Yu MJ, Hu ZH, Yu JP, Ding BY, Fang T. 2001. Forest vegetation types in Gutianshan Natural Reserve in Zhejiang. Journal of Zhejiang University (Agriculture and Life Science) 27:375-380 (in Chinese with English abstract)
[49]
Zhang L, Zhou Y, Newman C, Kaneko Y, Macdonald D, Jiang P, Ding P. 2009. Niche overlap and sett-site resource partitioning for two sympatric species of badger. Ethology Ecology & Evolution 21:89-100
[50]
Zhuge Y. 1990. Fauna of Zhejiang: aves. Hangzhou: Zhejiang Science and Technology Publishing House. (in Chinese)
