References
- Beck, J., and Schwanghart, W. (2010). Comparing measures of species diversity from incomplete inventories: an update. Methods in Ecology and Evolution, 1, 38-44. https://doi.org/10.1111/J.2041-210X.2009.00003.X
- Bhole, G., Shukla, A., and Mahesh, T.S. (2015). Benford analysis: A useful paradigm for spectroscopic analysis. Chemical Physics Letters, 639, 36-40. https://doi.org/10.1016/J.CPLETT.2015.08.061
- Biber, E. (2013) The challenge of collecting and using environmental monitoring data. Ecology and Society, 18, 68. http://dx.doi.org/10.5751/ES-06117-180468
- Burgess, H.K., DeBey, L.B., Froehlich, H.E., Schmidt, N., Theobald, E.J., Ettinger, A.K., et al. (2017). The science of citizen science: Exploring barriers to use as a primary research tool. Biological Conservation, 208, 113-120. https://doi.org/10.1016/J.BIOCON.2016.05.014
- Campos, L., Salvo, A.E., and Flores-Moya, A. (2016). Natural taxonomic categories of angiosperms obey Benford's law, but artificial ones do not. Systematics and Biodiversity, 14, 431-440. https://doi.org/10.1080/14772000.2016.1181 683
- Chao, A., and Jost, L. (2012). Coverage-based rarefaction and extrapolation: standardizing samples by completeness rather than size. Ecology, 93, 2533-2547. https://doi.org/10.1890/11-1952.1
- Cinelli, C. (2022). Benford Analysis for Data Validation and Forensic Analytics. Retrieved July 02 2023, from https://cran.r-project.org/web/packages/benford.analysis/benford.analysis.pdf
- Costas, E., Lopez-Rodas, V., Toro, F.J., and Flores-Moya, A. (2008). The number of cells in colonies of the cyanobacterium Microcystis aeruginosa satisfies Benford's law. Aquatic Botany, 89, 341-343. https://doi.org/10.1016/J.AQUABOT.2008.03.011
- Diekmann, A. (2007). Not the First Digit! Using Benford's Law to Detect Fraudulent Scientific Data. Journal of Applied Statistics, 34, 321-329. https://doi.org/10.1080/02664760601004940
- Dixon, P. (2003). VEGAN, a package of R functions for community ecology. Journal of Vegetation Science, 14, 927-930. https://doi.org/10.1111/J.1654-1103.2003.TB022 28.X
- Docampo, S., Del Mar Trigo, M., Aira, M.J., Cabezudo, B., and Flores-Moya, A. (2009). Benford's law applied to aerobiological data and its potential as a quality control tool. Aerobiologia, 25, 275-283. https://doi.org/10.1007/S10453-009-9132-8
- Gorenc, M. (2019). Benford's Law As a Useful Tool to Determine Fraud in Financial Statements. Management, 14. https://doi.org/10.26493/1854-4231.14.19-31
- Kvam, P., Vidakovic, B., and Kim, S. J. (2022). Nonparametric statistics with applications to science and engineering with R (p. 158). John Wiley & Sons.
- Magurran, A.E. (1988). Ecological Diversity and Its Measurements. Chapman & Hall. https://doi.org/10.1007/978-94-015-7358-0
- Nigrini, M.J. (2012). Benford's Law: Applications for forensic accounting, auditing, and fraud detection. John Wiley & Sons.
- National Institute of Biological Resources (NIBR). (2021). 2020-2021 Winter Waterbird Census of Korea. NIBR.
- Ozkundakci, D., and Pingram, M.A. (2019). Nature favours "one" as the leading digit in phytoplankton abundance data. Limnologica, 78, 125707. https://doi.org/10.1016/J.LIMNO.2019.125707
- Proger, L., Griesberger, P., Hacklander, K., Brunner, N., and Kuhleitner, M. (2021). Benford's Law for Telemetry Data of Wildlife. Stats, 4, 943-949. https://doi.org/10.3390/STATS4040055
- Shikano, S., and Mack, V. (2016). When does the second-digit benforďs law-test signal an election fraud? Journal of Economics and Statistics, 231, 719-732. https://doi.org/10.1515/JBNST-2011-5-610
- Szabo, J.K., Forti, L.R., and Callaghan, C.T. (2023). Large biodiversity datasets conform to Benford's law: Implications for assessing sampling heterogeneity. Biological Conservation, 280, 109982. https://doi.org/10.1016/J.BIOCON.2023.1099 82
- Turner, M.G., Donato, D.C., and Romme, W.H. (2013). Consequences of spatial heterogeneity for ecosystem services in changing forest landscapes: priorities for future research. Landscape Ecology, 28, 1081-1097. https://doi.org/10.1007/s10980-012-9741-4
- Yoccoz, N.G., Nichols, J.D., and Boulinier, T. (2001). Monitoring of biological diversity in space and time. Trends in Ecology & Evolution, 16, 446-453. https://doi.org/10.1016/S0169-5347(01)02205-4