IDEAS home Printed from https://ideas.repec.org/a/caa/jnljfs/v64y2018i5id146-2017-jfs.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://jfs.agriculturejournals.cz/doi/10.17221/146/2017-JFS.html
    Download Restriction: free of charge
    File URL: http://jfs.agriculturejournals.cz/doi/10.17221/146/2017-JFS.pdf
    Download Restriction: free of charge
    File URL: https://libkey.io/10.17221/146/2017-JFS?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yongli Wang & Xiangyi Zhou & Hao Liu & Xichang Chen & Zixin Yan & Dexin Li & Chang Liu & Jiarui Wang, 2023. "Evaluation of the Maturity of Urban Energy Internet Development Based on AHP-Entropy Weight Method and Improved TOPSIS," Energies, MDPI, vol. 16(13), pages 1-18, July.
    2. Sukuryadi & Nuddin Harahab & Mimit Primyastanto & Bambang Semedi, 2021. "Collaborative-based mangrove ecosystem management model for the development of marine ecotourism in Lembar Bay, Lombok, Indonesia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(5), pages 6838-6868, May.
    3. Jing Wang & Jian-Qiang Wang & Hong-Yu Zhang & Xiao-Hong Chen, 2017. "Distance-Based Multi-Criteria Group Decision-Making Approaches with Multi-Hesitant Fuzzy Linguistic Information," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(04), pages 1069-1099, July.
    4. Wanying Zhong & Yue Wang, 2022. "A study on the spatial and temporal variation of urban integrated vulnerability in Southwest China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(3), pages 2855-2882, December.
    5. Xu, Haoxin & Romagnoli, Alessandro & Sze, Jia Yin & Py, Xavier, 2017. "Application of material assessment methodology in latent heat thermal energy storage for waste heat recovery," Applied Energy, Elsevier, vol. 187(C), pages 281-290.
    6. Yun Jin & Hecheng Wu & Dechao Sun & Shouzhen Zeng & Dandan Luo & Bo Peng, 2019. "A Multi-Attribute Pearson’s Picture Fuzzy Correlation-Based Decision-Making Method," Mathematics, MDPI, vol. 7(10), pages 1-12, October.
    7. Marta Nikanorova & Jelena Stankevičienė, 2020. "Development of environmental pillar in the context of circular economy assessment: Baltic Sea Region case," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 8(1), pages 1209-1223, September.
    8. Ahani, Ali & Nilashi, Mehrbakhsh & Yadegaridehkordi, Elaheh & Sanzogni, Louis & Tarik, A. Rashid & Knox, Kathy & Samad, Sarminah & Ibrahim, Othman, 2019. "Revealing customers’ satisfaction and preferences through online review analysis: The case of Canary Islands hotels," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 331-343.
    9. Abbas Mardani & Dalia Streimikiene & Tomas Balezentis & Muhamad Zameri Mat Saman & Khalil Md Nor & Seyed Meysam Khoshnava, 2018. "Data Envelopment Analysis in Energy and Environmental Economics: An Overview of the State-of-the-Art and Recent Development Trends," Energies, MDPI, vol. 11(8), pages 1-21, August.
    10. Katarzyna Halicka, 2020. "Technology Selection Using the TOPSIS Method," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 14(1), pages 85-96.
    11. Hualin Xie & Zhe Li & Yu Xu, 2022. "Study on the Coupling and Coordination Relationship between Gross Ecosystem Product (GEP) and Regional Economic System: A Case Study of Jiangxi Province," Land, MDPI, vol. 11(9), pages 1-20, September.
    12. Adrian Castro-Lopez & Javier Puente & Rodolfo Vazquez-Casielles, 2018. "e-Service Quality Model for Spanish Textile and Fashion Sector: Positioning Analysis and B2C Ranking by F-Topsis," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(02), pages 485-512, March.
    13. Binkai Xu & Lei Liu & Yanming Sun, 2023. "The Spatio-Temporal Pattern of Regional Coordinated Development in the Common Prosperity Demonstration Zone—Evidence from Zhejiang Province," Sustainability, MDPI, vol. 15(4), pages 1-21, February.
    14. Thi Yen Pham & Ki Young Kim & Gi-Tae YEO, 2018. "The Panama Canal Expansion and Its Impact on East–West Liner Shipping Route Selection," Sustainability, MDPI, vol. 10(12), pages 1-16, November.
    15. Mateusz Piwowarski & Danuta Miłaszewicz & Małgorzata Łatuszyńska & Mariusz Borawski & Kesra Nermend, 2018. "Application of the Vector Measure Construction Method and Technique for Order Preference by Similarity Ideal Solution for the Analysis of the Dynamics of Changes in the Poverty Levels in the European ," Sustainability, MDPI, vol. 10(8), pages 1-24, August.
    16. 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.
    17. A. López-García & V. Liern & B. Pérez-Gladish, 2025. "Determining the underlying role of corporate sustainability criteria in a ranking problem using UW-TOPSIS," Annals of Operations Research, Springer, vol. 346(2), pages 1321-1344, March.
    18. Elena Širá & Roman Vavrek & Ivana Kravčáková Vozárová & Rastislav Kotulič, 2020. "Knowledge Economy Indicators and Their Impact on the Sustainable Competitiveness of the EU Countries," Sustainability, MDPI, vol. 12(10), pages 1-22, May.
    19. Sanjay Kumar Tyagi & Sujeet Kumar Sharma & R. Krishankumar & K. S. Ravichandran, 2022. "An extension of interpretive structural modeling using linguistic term sets for business decision-making," OPSEARCH, Springer;Operational Research Society of India, vol. 59(3), pages 1158-1177, September.
    20. S. Saffarzadeh & A. Hadi-Vencheh & A. Jamshidi, 2019. "An Interval Based Score Method for Multiple Criteria Decision Making Problems," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(05), pages 1667-1687, September.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:caa:jnljfs:v:64:y:2018:i:5:id:146-2017-jfs. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ivo Andrle (email available below). General contact details of provider: https://www.cazv.cz/en/home/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.