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Determination of an appropriate quadrat size and shape for detecting association between plant species

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  • Mousaei Sanjerehei, Mohammad

Abstract

The outcome of association analysis between species can be influenced by the size and shape of sampling quadrats. To eliminate this problem, a new method is proposed for determining an appropriate size for sampling quadrat. This method is based on measurement of the density of the plant species concerned. The use of this method is illustrated for the detection of association between species in a hypothetical community.

Suggested Citation

  • Mousaei Sanjerehei, Mohammad, 2011. "Determination of an appropriate quadrat size and shape for detecting association between plant species," Ecological Modelling, Elsevier, vol. 222(10), pages 1790-1792.
    • Handle: RePEc:eee:ecomod:v:222:y:2011:i:10:p:1790-1792
    DOI: 10.1016/j.ecolmodel.2011.03.007
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    References listed on IDEAS

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    1. Elvan Ceyhan, 2010. "New Tests of Spatial Segregation Based on Nearest Neighbour Contingency Tables," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 37(1), pages 147-165, March.
    2. Avner Bar-Hen & Nicolas Picard, 2006. "Simulation study of dissimilarity between point process," Computational Statistics, Springer, vol. 21(3), pages 487-507, December.
    3. Ceyhan, Elvan, 2009. "Overall and pairwise segregation tests based on nearest neighbor contingency tables," Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 2786-2808, June.
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    Cited by:

    1. Li Hao & Shi Qingdong & Bilal Imin & Nijat Kasim, 2020. "Methodology for optimizing quadrat size in sparse vegetation surveys: A desert case study from the Tarim Basin," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-16, August.

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    More about this item

    Keywords

    Association; Density; Quadrat; Shape; Size;
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