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

https://doi.org/10.17221/146/2017-JFSCitation:Basiri R., Moradi M., Kiani B., Maasumi Babaarabi M. (2018): Evaluation of distance methods for estimating population density in Populus euphratica Olivier natural stands (case study: Maroon riparian forests, Iran). J. For. Sci., 64: 230-244.
download PDF

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.

References:
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.
 
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.
 
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)
 
Batcheler C. L. (1975): Development of a Distance Method for Deer Census from Pellet Groups. The Journal of Wildlife Management, 39, 641-  https://doi.org/10.2307/3800222
 
Beasom Samuel L., Haucke Harry H. (1975): A Comparison of Four Distance Sampling Techniques in South Texas Live Oak Mottes. Journal of Range Management, 28, 142-  https://doi.org/10.2307/3897447
 
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.
 
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.
 
Bryant David M., Ducey Mark J., Innes James C., Lee Thomas D., Eckert Robert T., Zarin Daniel J. (2005): Forest community analysis and the point-centered quarter method. Plant Ecology, 175, 193-203  https://doi.org/10.1007/s11258-005-0013-0
 
Byth Karen (1982): On Robust Distance-Based Intensity Estimators. Biometrics, 38, 127-  https://doi.org/10.2307/2530295
 
Byth Karen, Ripley B. D. (1980): On Sampling Spatial Patterns by Distance Methods. Biometrics, 36, 279-  https://doi.org/10.2307/2529979
 
Cartisano Rosaria, Mattioli Walter, Corona Piermaria, Mugnozza Giuseppe Scarascia, Sabatti Maurizio, Ferrari Barbara, Cimini Dora, Giuliarelli Diego (2013): Assessing and mapping biomass potential productivity from poplar-dominated riparian forests: A case study. Biomass and Bioenergy, 54, 293-302  https://doi.org/10.1016/j.biombioe.2012.10.023
 
Coroi Mihai, Skeffington Micheline Sheehy, Giller Paul, Smith Colin, Gormally Michael, O’Donovan Grace (2004): Vegetation diversity and stand structure in streamside forests in the south of Ireland. Forest Ecology and Management, 202, 39-57  https://doi.org/10.1016/j.foreco.2004.06.034
 
Cottam Grant, Curtis J. T. (1949): A Method for Making Rapid Surveys of Woodlands by Means of Pairs of Randomly Selected Trees. Ecology, 30, 101-104  https://doi.org/10.2307/1932281
 
Cottam Grant, Curtis J. T. (1956): The Use of Distance Measures in Phytosociological Sampling. Ecology, 37, 451-460  https://doi.org/10.2307/1930167
 
Dahdouh-Guebas Farid, Koedam Nico (2006): Empirical estimate of the reliability of the use of the Point-Centred Quarter Method (PCQM): Solutions to ambiguous field situations and description of the PCQM+ protocol. Forest Ecology and Management, 228, 1-18  https://doi.org/10.1016/j.foreco.2005.10.076
 
DIGGLE PETER J. (1975): Robust density estimation using distance methods. Biometrika, 62, 39-48  https://doi.org/10.1093/biomet/62.1.39
 
Dobrowski Solomon Z., Murphy Shannon K. (2006): A PRACTICAL LOOK AT THE VARIABLE AREA TRANSECT. Ecology, 87, 1856-1860  https://doi.org/10.1890/0012-9658(2006)87[1856:APLATV]2.0.CO;2
 
Engeman Richard M., Sugihara Robert T. (1998): OPTIMIZATION OF VARIABLE AREA TRANSECT SAMPLING USING MONTE CARLO SIMULATION. Ecology, 79, 1425-1434  https://doi.org/10.1890/0012-9658(1998)079[1425:OOVATS]2.0.CO;2
 
Engeman Richard M., Sugihara Robert T., Pank Larry F., Dusenberry William E. (1994): A Comparison of Plotless Density Estimators Using Monte Carlo Simulation. Ecology, 75, 1769-1779  https://doi.org/10.2307/1939636
 
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.
 
Han Lu, Wang Haizhen, Zhou Zhengli, Li Zhijun (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  https://doi.org/10.1007/s11461-008-0068-x
 
Haxtema Zane, Temesgen Hailemariam, Marquardt Theresa (2012): Evaluation of <I>n</I>-Tree Distance Sampling for Inventory of Headwater Riparian Forests of Western Oregon. Western Journal of Applied Forestry, 27, 109-117  https://doi.org/10.5849/wjaf.10-035
 
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.
 
Hou Zhengyang, Xu Qing, Hartikainen Sauli, Antilla Perttu, Packalen Tuula, Maltamo Matti, Tokola Timo (2015): Impact of Plot Size and Spatial Pattern of Forest Attributes on Sampling Efficacy. Forest Science, 61, 847-860  https://doi.org/10.5849/forsci.14-197
 
Hwang C.L., Yoon K. (1981): Multiple Attribute Decision Making: Methods and Application: A State of the Art Survey. New York, Springer-Verlag: 259.
 
Husch B. (1963): Forest Mensuration and Statistics. New York, Roland Press Company: 474.
 
Husch B., Miller C.I., Beers T.W. (1982): Forest Mensuration. New York, Roland Press Company: 492.
 
Jonsson Bengt, Holm Sören, Kallur Hans (1992): A forest inventory method based on density‐adapted circular plot size. Scandinavian Journal of Forest Research, 7, 405-421  https://doi.org/10.1080/02827589209382733
 
Khan Md Nabiul Islam, Hijbeek Renske, Berger Uta, Koedam Nico, Grueters Uwe, Islam S. M. Zahirul, Hasan Md Asadul, Dahdouh-Guebas Farid, Reinhart Kurt O. (2016): An Evaluation of the Plant Density Estimator the Point-Centred Quarter Method (PCQM) Using Monte Carlo Simulation. PLOS ONE, 11, e0157985-  https://doi.org/10.1371/journal.pone.0157985
 
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.
 
Kleinn Christoph, Vilčko František (2006): Design-unbiased estimation for point-to-tree distance sampling. Canadian Journal of Forest Research, 36, 1407-1414  https://doi.org/10.1139/x06-038
 
Krebs C.J. (2014): Ecological Methodology. 2nd Ed. Version 4. New York, University of British Columbia: 620.
 
Lessard V.C., Drummer T.D., Reed D.D. (2002): Precision of density estimates from fixed-radius plots compared to n-tree distance sampling. Forest Science, 48: 1–6.
 
Lynch Thomas B., Rusydi Rusydi (1999): Distance sampling for forest inventory in Indonesian teak plantations. Forest Ecology and Management, 113, 215-221  https://doi.org/10.1016/S0378-1127(98)00427-7
 
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.
 
Mitchell K. (2007): Quantitative Analysis by the Point-Centered Quarter Method. Geneva, Hobart and William Smith Colleges, Department of Mathematics and Computer Science: 34.
 
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)
 
Morisita M. (1971): Measuring of habitat value by the “environmental density” method. Statistical Ecology, 1: 379–401.
 
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.
 
Nath Cheryl D., Pélissier Raphaël, Garcia Claude (2010): Comparative efficiency and accuracy of variable area transects versus square plots for sampling tree diversity and density. Agroforestry Systems, 79, 223-236  https://doi.org/10.1007/s10457-009-9255-5
 
Pabst Robert J, Spies Thomas 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  https://doi.org/10.1139/x99-133
 
Palley M.N., Horwitz L.G. (1961): Properties of some random and systematic point sampling estimators. Forest Sciences, 7: 52–65.
 
Parker Keith R. (1979): Density Estimation by Variable Area Transect. The Journal of Wildlife Management, 43, 484-  https://doi.org/10.2307/3800359
 
Pollard J. H. (1971): On Distance Estimators of Density in Randomly Distributed Forests. Biometrics, 27, 991-  https://doi.org/10.2307/2528833
 
Pound N.R., Clements F.E. (1898): A method of determining the abundance of secondary species. Minnesota Botanical Gardens, 2: 19–24.
 
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.
 
Prodan M. (1968): Punkstichprobe für die Forsteinrichtung. Der Forst- und Holzwirt, 23: 225–226. (in German)
 
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.
 
Seber G.A.F. (1982): The Estimation of Animal Abundance and Related Parameters. 2nd Ed. London, High Wycombe, Charles Griffin & Co., Ltd.: 654.
 
Sepehri A., Bozorgmehr A. (2003): Ecology of edaphic factors influencing distribution of Populus euphratica community along Tedzhen riverbank. Desert, 8: 88–103. (in Persian)
 
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.
 
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.
 
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.
 
Stromberg Juliet C., Tluczek Melanie G.F., Hazelton Andrea F., Ajami Hoori (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  https://doi.org/10.1016/j.foreco.2010.01.005
 
White Neil A, Engeman Richard M, Sugihara Robert T, Krupa Heather W (2008): A comparison of plotless density estimators using Monte Carlo simulation on totally enumerated field data sets. BMC Ecology, 8, 6-  https://doi.org/10.1186/1472-6785-8-6
 
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.
 
Zhu Xunzhi, Zhang Jintun (2009): Quartered neighbor method: A new distance method for density estimation. Frontiers of Biology in China, 4, 574-578  https://doi.org/10.1007/s11515-009-0039-0
 
download PDF

© 2020 Czech Academy of Agricultural Sciences | Prohlášení o přístupnosti