Biodiversity refers to genetic, species and ecosystems varieties within an area. Two main characteristics that should be investigated when considering biodiversity are richness and evenness. Richness is related to the number of different species in the analyzed area, while evenness corresponds to the homogeneity of the abundance of species. For quantifying these features, many indices have been defined, and this paper offers an overview of the most commonly used biodiversity indices, such as Shannon, Simpson, Margalef and Berger-Parker. The paper explains the process of calculating these indices on the case study example of four forest communities and discusses the results obtained. The Jaccard index analysis is used to discover a similarity between the analyzed forest communities. Results from this part of the research are visualized by creating appropriate dendrograms for making the interpretation easier. Calculating and analyzing these indices is useful not only for forest ecosystems, but for the other types of ecosystems as well, including agro-ecosystems. Biodiversity indices can be obtained in thespecialized software, for instance in EstimateS (Statistical Estimation of Species Richness and Shared Species from Samples), or by programming in the statistical package R, as it was done in this research.
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BERGER WH, PARKER FL: Diversity of planktonic foraminifera in deep sea sediments. Science, 168, 1345–1347, 1970.
COLWELL RK: EstimateS: Statistical Estimation of Species Richness and Shared Species from Samples. Version 9.1.0. User’s guide published at http://purl.oclc.org/estimates, 2013.
FREER-SMITH PH, WEBBER JF: Tree pests and diseases: the threat to biodiversity and the delivery of ecosystem services. Biodiversity Conservation, 1-15, 2015.
GAMITO S: Caution is needed when applying Margalef diversity index. Ecological Indicators, 10(2)550-551, 2010.
GROSS M: How can we save forest biodiversity? Current Biology, 26(22)1167-1170, 2016.
IHAKA R, GENTLEMAN R: A Language for Data Analysis and Graphics. Journal of Computational and Graphical Statistics. 4(3)299-314, 1996.
IOANNOU K, EMMANOULOUDIS D, LEFAKIS P, MYRONIDIS D: Design and implementation of an environmental network for the requirements of a European funded research project. International Journal of Applied Systemic Studies, 5(4)249-261, 2014.
JACCARD P: Étude comparative de la distribution floraledansune portion des Alpes et des Jura, Bulletin de la Société Vaudoise des Sciences Naturelles, 37, 547–579, 1901.
MARGALEF R: Information theory in ecology. General Systems, 3, 36–71, 1958.
SÆBØ A, BORZAN Ž, DUCATILLION C, HATZISTATHIS A, LAGERSTRÖM T, SUPUKA J, GARCÍA-VALDECANTOS JL, REGO F, VAN SLYCKEN J: The Selection of Plant Materials for Street Trees, Park Trees and Urban Woodland. In: Urban Forests and Trees: A Reference Book. (C. Konijnendijk, K. Nilsson, T. Randrup, J. Schipperijn, eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, pp. 257–280, 2005.
SHANNON CE: A mathematical theory of communication. The Bell System Technical Journal, 27, 623–656, 1948.
SIMPSON EH: Measurement of diversity. Nature, 163, p. 688, 1949.
STIRLING G, WILSEY B: Empirical relationships between species richness, evenness and proportional diversity. The American Naturalist,158(3)286-299, 2001.
SWINGLAND IW (2001): Biodiversity, definition of. In: Encyclopedia of Biodiversity. Volume I (S.A Levin, ed.), Academic Press, San Diego, pp. 377-391, 2001
VUJIĆ A: Nature protection. University of Novi Sad, Faculty of Sciences, p. 12, 2008 (In Serbian).
ZHAO Q, MASON THE, AZERIA ET, LE BLANC ML, LEMAÎTRE J, BARNIER F, BICHET O, FORTIN D: Robust predictive performance of indicator species despite different co-occurrence patterns of birds in natural and managed boreal forests. Forest Ecology and Management, 397, 108-116, 2017.