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An Evaluation of the Plant Density Estimator the Point-Centred Quarter Method (PCQM) Using Monte Carlo Simulation.

par Khan, Nabiul Islam ;Hijbeek, Renske;Berger, Uta;Koedam, Nico;Grueters, U.;Islam, Zahirul SM;Hasan, Md Asadul;Dahdouh-Guebas, Farid
Référence PloS one, 11, 6, page (e0157985)
Publication Publié, 2016

Article révisé par les pairs

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Résumé :

In the Point-Centred Quarter Method (PCQM), the mean distance of the first nearest plants in each quadrant of a number of random sample points is converted to plant density. It is a quick method for plant density estimation. In recent publications the estimator equations of simple PCQM (PCQM1) and higher order ones (PCQM2 and PCQM3, which uses the distance of the second and third nearest plants, respectively) show discrepancy. This study attempts to review PCQM estimators in order to find the most accurate equation form. We tested the accuracy of different PCQM equations using Monte Carlo Simulations in simulated (having 'random', 'aggregated' and 'regular' spatial patterns) plant populations and empirical ones.