J. For. Sci., 2018, 64(5):230-244 | DOI: 10.17221/146/2017-JFS

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

Reza BASIRI*,1, Mostafa MORADI1, Bahman KIANI2, Maryam MAASUMI BABAARABI1
1 Department of Forestry, Faculty of Natural Resources, Behbahan Khatam Alanbia University of Technology, Behbahan, Iran
2 Department of Forestry, Faculty of Natural Resources, Yazd University, Yazd, Iran

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.

Keywords: forest sampling; accuracy; efficiency; pure and mixed stands

Published: May 31, 2018  Show citation

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BASIRI R, MORADI M, KIANI B, MAASUMI BABAARABI M. Evaluation of distance methods for estimating population density in Populus euphratica Olivier natural stands (case study: Maroon riparian forests, Iran). J. For. Sci. 2018;64(5):230-244. doi: 10.17221/146/2017-JFS.
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References

  1. Askari Y., Kafash Saei E., Rezaei D. (2013): Evaluation of different sampling methods to study of shrub density in Zagros forest. European Journal of Experimental Biology, 3: 121-128.
  2. Barbour M.G., Burk J.H., Pitts W.D., Gilliam F.S., Schwarts M.W. (1999): Terrestrial Plant Ecology. 3rd Ed. Menlo Park, Benjamin Cummings: 688.
  3. Basiri R., Riazi A., Taleshi H., Pourrezaei J. (2014): The structure and composition of riparian forests of Maroon River, Behbahan. Iranian Journal of Forest and Poplar Research, 22: 307-321. (in Persian with English abstract)
  4. Batcheler C.L. (1975): Development of a distance method for deer census from pellet groups. Journal of Wildlife Management, 39: 641-652. Go to original source...
  5. Beasom S.L., Haucke H.H. (1975): A comparison of four distance sampling techniques in South Texas live oak mottes. Journal of Range Management, 28: 142-144. Go to original source...
  6. Besag J.E., Gleaves J.T. (1973): On the detection of spatial pattern in plant communities. Bulletin of the International Statistical Institute, 45: 153-158. Bonham C.D. (2013): Measurements for Terrestrial Vegetation. New York, John Wiley & Sons, Inc.: 246.
  7. Borges Silva L., Alves M., Elias R.B., Silva L. (2017): Comparison of T-square, point centered quarter and N-tree sampling methods in Pittosporum undulatum invaded woodlands. International Journal of Forestry Research, 2017: 2818132.
  8. Bryant D.M., Ducey M.J., Innes J.C., Lee T.D., Eckert R.T., Zarin D.J. (2004): Forest community analysis and the pointcentered quarter method. Plant Ecology, 175: 193-203. Go to original source...
  9. Byth K. (1982): On robust distance-based intensity estimators. Biometrics, 38: 127-135. Go to original source...
  10. Byth K., Ripley B.D. (1980): On sampling spatial patterns by distance methods. Biometrics, 36: 279-284. Go to original source...
  11. Cartisano R., Mattioli W., Corona P., Mugnozza G., Sabatti M., Ferrari B., Cimini D., Giuliarelli D. (2013): Assessing and mapping biomass potential productivity from poplardominated riparian forests: A case study. Biomass and Bioenergy, 54: 293-302. Go to original source...
  12. Coroi M., Skeffingto M.S., Giller P., Smith C., Gormally M., O'Donovan G. (2004): Vegetation diversity and stand structure in streamside forests in the south of Ireland. Forest Ecology and Management, 202: 39-57. Go to original source...
  13. Cottam G., Curtis J.T. (1949): A method for making rapid surveys of woodlands by means of pairs of randomly selected trees. Ecology, 30: 101-104. Go to original source...
  14. Cottam G., Curtis J.T. (1956): The use of distance measures in phytosociological sampling. Ecology, 37: 451-460. Go to original source...
  15. Dahdouh-Guebas F., Koedam N. (2006): Empirical estimate of the reliability of the use of the Point-Centred Quarter Method (PCQM): Solution to ambiguous field situations and description of the PCQM+ protocol. Forest Ecology and Management, 228: 1-18. Go to original source...
  16. Diggle P.J. (1975): Robust density estimation using distance methods. Biometrika, 62: 39-48. Go to original source...
  17. Dobrowski S.Z., Murphy S.K. (2006): A practical look at the variable area transect. Ecology, 87: 1856-1860. Go to original source... Go to PubMed...
  18. Engeman R.M., Sugihara R.T. (1998): Optimization of variable area transect sampling using Monte Carlo simulation. Ecology, 79: 1425-1434. Go to original source...
  19. Engeman R.M., Sugihara R.T., Pank L.F., Dusenberry W.E. (1994): A Comparison of plotless density estimators using Monte Carlo simulation. Ecology, 75: 1769-1779. Go to original source...
  20. Ghorbani M., Arabzad S.M., Bahrami M. (2012): Implementing Shannon entropy, SWOT and mathematical programming for supplier selection and order allocation. International Journal of Supplier Chain Management, 1: 43-47.
  21. Han L., Wang H., Zhou Z., Li Z. (2008): Spatial distribution pattern and dynamics of the primary population in a natural Populus euphratica forest in Tarim Basin, Xinjiang, China. Frontiers of Forestry in China, 3: 456-461. Go to original source...
  22. Haxtema Z., Temesgen H., Marquardt T. (2012): Evaluation of n-tree distance sampling of headwater riparian forests of western Oregon. West Journal of Applied Forest, 27: 109-117. Go to original source...
  23. Hijbeek R., Koedam N., Khan M.N.I., Kairo J.G., Schoukens J., Dahdouh-Guebas F. (2013): An evaluation of plot-less sampling using vegetation simulations and field data from a mangrove forest. PLoS ONE, 8: e67201. Go to original source... Go to PubMed...
  24. Hou Z., Xu Q., Hartikainen S., Antilla P., Packalen T., Maltamo M., Tokola T. (2015): Impact of plot size and spatial pattern of forest attributes on sampling efficacy. Forest Science, 61: 847-860. Go to original source...
  25. Hwang C.L., Yoon K. (1981): Multiple Attribute Decision Making: Methods and Application: A State of the Art Survey. New York, Springer-Verlag: 259. Go to original source...
  26. Husch B. (1963): Forest Mensuration and Statistics. New York, Roland Press Company: 474.
  27. Husch B., Miller C.I., Beers T.W. (1982): Forest Mensuration. New York, Roland Press Company: 492.
  28. Jonsson B., Holm S., Kallur H. (1992): A forestry inventory method based on density-adapted circular plot size. Scandinavian Journal of Forest Research, 7: 405-421. Go to original source...
  29. Khan M.N.I., Hijbeek R., Berger U., Koedam N., Grueters U., Islam S.M.Z., Hasan M.A., Dahdouh-Guebas F. (2016): An evaluation of the plant density estimator the Point-Centred Quarter Method (PCQM) using Monte Carlo simulation. PLoS ONE, 11: e0157985. Go to original source... Go to PubMed...
  30. Kiani B., Fallah A., Tabari M., Hosseini S.M., Iran-Nejad Parizi M.H. (2013): A comparison of distance sampling methods in sexual (Halloxylon ammodendron (C.A. Mey.) Bunge) shrub-lands. Polish Journal of Ecology, 61: 207-219.
  31. Kleinn C., Vilčko F. (2006): Design-unbiased estimation for point-to-tree distance sampling. Canadian Journal of Forest Research, 36: 1407-1414. Go to original source...
  32. Krebs C.J. (2014): Ecological Methodology. 2nd Ed. Version 4. New York, University of British Columbia: 620.
  33. Lessard V.C., Drummer T.D., Reed D.D. (2002): Precision of density estimates from fixed-radius plots compared to ntree distance sampling. Forest Science, 48: 1-6. Go to original source...
  34. Lynch T.B., Rusydi R. (1999): Distance sampling for forest inventory in Indonesian teak plantations. Forest Ecology and Management, 113: 215-221. Go to original source...
  35. Maasumi Babaarabi M., Basiri R., Moradi M., Kiani M. (2018): Spatial pattern of Populus euphratica in pure and mixed stands of Maroon, Behbahan. Journal of Plant Researches, 30: 839-851.
  36. Mitchell K. (2007): Quantitative Analysis by the PointCentered Quarter Method. Geneva, Hobart and William Smith Colleges, Department of Mathematics and Computer Science: 34.
  37. Morisita M. (1957): A new method for the estimation of density by spacing method applicable to non-randomly distributed populations. Physiology and Ecology, 7: 134-144. (in Japanese with English summary)
  38. Morisita M. (1971): Measuring of habitat value by the "environmental density" method. Statistical Ecology, 1: 379-401.
  39. Moosaee Sanjerehei M., Basiri M. (2008): Comparison and evaluation of density measurement methods on Artemisia sieberi shrub-lands in Yazd province. Journal of the Iranian Natural Research, 61: 235-251.
  40. Nath C.D., Pélissier R., Garcia C. (2010): Comparative efficiency and accuracy of variable area transects versus square plots for sampling tree diversity and density. Agroforest Systems, 79: 223-236. Go to original source...
  41. Pabst R.J., Spies T.A. (1999): Structure and composition of unmanaged riparian forests in the coastal mountains of Oregon, U.S.A. Canadian Journal of Forest Research, 29: 1557-1573. Go to original source...
  42. Palley M.N., Horwitz L.G. (1961): Properties of some random and systematic point sampling estimators. Forest Sciences, 7: 52-65.
  43. Parker K.R. (1979): Density estimation by variable area transect. Journal of Wildlife Management, 43: 484-492. Go to original source...
  44. Pollard J.H. (1971): On distance estimators of density in randomly distributed forests. Biometrics, 27: 991-1002. Go to original source...
  45. Pound N.R., Clements F.E. (1898): A method of determining the abundance of secondary species. Minnesota Botanical Gardens, 2: 19-24.
  46. Pourrezaei J., Tarnian F., Payranj J., Difrakhsh M. (2010): The studies of flora and phyto geography of Tang Ban watershed basin in Behbahan. Iranian Journal of Forest, 2: 37-49.
  47. Prodan M. (1968): Punkstichprobe für die Forsteinrichtung. Der Forst- und Holzwirt, 23: 225-226. (in German)
  48. Sadeghi Kaji H., Zafaryan I., Badfar K. (2014): N-tree distance sampling vs. fixed-radius plots methods for tree density estimation in central Zagros forests. Iranian Journal of Forest and Popular Research, 22: 381-391.
  49. Seber G.A.F. (1982): The Estimation of Animal Abundance and Related Parameters. 2nd Ed. London, High Wycombe, Charles Griffin & Co., Ltd.: 654.
  50. Sepehri A., Bozorgmehr A. (2003): Ecology of edaphic factors influencing distribution of Populus euphratica community along Tedzhen riverbank. Desert, 8: 88-103. (in Persian)
  51. Sheikholeslami N., Erfaifard S.Y., Fallah Shamsi R., Masoudi M., Khosravi E. (2017): Effect of spatial pattern of trees on efficiency of distance and plot sampling methods in Zagros woodlands. Iranian Journal of Forest, 9: 101-117.
  52. Sheil D., Ducey M.J., Sidiyasa K., Samsoedin I. (2003): A new type of sample unit for the efficient assessment of diverse tree communities in complex forest landscapes. Journal of Tropical Forest Science, 15: 117-135.
  53. Sparks J.C., Masters R.E., Payton M.E. (2002): Comparative evaluation of accuracy and efficiency of six forest sampling methods. Proceedings of the Oklahoma Academy of Science, 82: 49-56.
  54. Stromberg J.C., Tluczek M.G.F., Hazelton A.F., Ajami H. (2010): A century of riparian forest expansion following extreme disturbance: Spatio-temporal change in Populus/ Salix/Tamarix forests along the Upper San Pedro River, Arizona, USA. Forest Ecology and Management, 259: 1181-1189. Go to original source...
  55. White N.A., Engeman R.M., Sugihara R.T., Krupa H.W. (2008): A comparison of plotless density estimators using Monte Carlo simulation on totally enumerated field data sets. BMC Ecology, 8: 6. Go to original source... Go to PubMed...
  56. Zavadskas E.K., Mardani A., Turskis Z., Jusoh A., Nor K.M. (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, 15: 645-682. Go to original source...
  57. Zhu X., Zhang J. (2009): Quartered neighbor method: A new distance method for density estimation. Frontiers of Biology in China, 4: 574-578. Go to original source...

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