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Evaluation of distance methods for estimating population density in Populus euphratica Olivier natural stands (case study: Maroon riparian forests, Iran)

Author

Listed:
  • Reza BASIRI

    (Department of Forestry, Faculty of Natural Resources, Behbahan Khatam Alanbia University of Technology, Behbahan, Iran)

  • Mostafa MORADI

    (Department of Forestry, Faculty of Natural Resources, Behbahan Khatam Alanbia University of Technology, Behbahan, Iran)

  • Bahman KIANI

    (Department of Forestry, Faculty of Natural Resources, Yazd University, Yazd, Iran)

  • Maryam MAASUMI BABAARABI

    (Department of Forestry, Faculty of Natural Resources, Behbahan Khatam Alanbia University of Technology, Behbahan, Iran)

Abstract

The aim of this study was to determine the performance of distance methods in terms of accuracy, precision, bias, consumed time and sampling efficiency in the Maroon riparian forests, Iran. 40 estimators were used to evaluate the density of Populus euphratica Olivier trees in pure and mixed stands. Fifty quadrates (30 × 30 m) were established in each stand. To evaluate the accuracy, precision, bias, consumed time and efficiency of sampling techniques, relative root mean square error - RRMSE (%), coefficient of variation - CV (%), relative bias - RBIAS (%), t × RBIAS2, t × E2, where t is study time and E (%) is sampling error at a confidence level of 95%, and efficiency ratio between method j and k (Efjk) were used. A compound of three basic distance estimators sampling method and n-tree were the best in both stands according to all criteria for density estimation. Moreover, variable area transect by Parker (g = 3) and quadrat method were the best methods for density estimation only in pure stand, while the angle order-point-centred quarter method was superior in mixed stand. Regarding to the results, we recommend the use of compound of three basic distances (BDAV3) and basic distance-nearest neighbour (BDNN2) for density estimation of P. euphratica stands in riparian forests.

Suggested Citation

  • Reza BASIRI & Mostafa MORADI & Bahman KIANI & Maryam MAASUMI BABAARABI, 2018. "Evaluation of distance methods for estimating population density in Populus euphratica Olivier natural stands (case study: Maroon riparian forests, Iran)," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 64(5), pages 230-244.
    • Handle: RePEc:caa:jnljfs:v:64:y:2018:i:5:id:146-2017-jfs
    DOI: 10.17221/146/2017-JFS
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    References listed on IDEAS

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    1. Md Nabiul Islam Khan & Renske Hijbeek & Uta Berger & Nico Koedam & Uwe Grueters & S M Zahirul Islam & Md Asadul Hasan & Farid Dahdouh-Guebas, 2016. "An Evaluation of the Plant Density Estimator the Point-Centred Quarter Method (PCQM) Using Monte Carlo Simulation," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-18, June.
    2. Renske Hijbeek & Nico Koedam & Md Nabiul Islam Khan & James Gitundu Kairo & Johan Schoukens & Farid Dahdouh-Guebas, 2013. "An Evaluation of Plotless Sampling Using Vegetation Simulations and Field Data from a Mangrove Forest," PLOS ONE, Public Library of Science, vol. 8(6), pages 1-10, June.
    3. Edmundas Kazimieras Zavadskas & Abbas Mardani & Zenonas Turskis & Ahmad Jusoh & Khalil MD Nor, 2016. "Development of TOPSIS Method to Solve Complicated Decision-Making Problems — An Overview on Developments from 2000 to 2015," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(03), pages 645-682, May.
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