مقایسه روش‌های رسته‌بندی غیرمستقیم در تجزیه و تحلیل پوشش گیاهی (مطالعه موردی: جنگلکاری فرودگاه ارومیه)

نوع مقاله : علمی- پژوهشی

نویسندگان

1 دانشیار گروه جنگلداری، دانشکده منابع طبیعی، دانشگاه ارومیه

2 کارشناس ارشد جنگلداری، دانشکده منابع طبیعی، دانشگاه ارومیه

3 استادیار گروه جنگلداری، دانشکده منابع طبیعی، دانشگاه ارومیه

4 استادیار گروه جنگلداری، دانشکده منابع طبیعی، دانشگاه تربیت مدرس

چکیده

هدف این پژوهش بررسی توانایی‌های روش‌های مختلف رسته‌بندی غیر­مستقیم با کاربرد وسیع در تجزیه و تحلیل پوشش گیاهی است. عرصه جنگلکاری­‌شده با کاج سیاه (Pinus nigra Arnold) با مساحت 9/2 هکتار واقع در محوطه فرودگاه ارومیه مورد مطالعه قرار­گرفت.نه قطعه‌نمونه مربعی شکل با مساحت 100 مترمربع به روش منظم تصادفی با ابعاد شبکه 50 ×50 متر پیاده شد و نوع و درصد پوشش گونه‌­های علفی در آنها ثبت شد.یک منطقه مرتعی مجاور توده جنگلکاری مذکور (منطقه کنترل) انتخاب شد و سه قطعه‌نمونه با فاصله‌های 50 متر بر روی یک خط‌نمونه پیاده شد و پوشش علفی هر قطعه‌نمونه همانند منطقه جنگلکاری مورد بررسی قرار­گرفت. سه روش رسته‌بندی تجزیه و تحلیل مؤلفه­‌های اصلی(PCA)، رسته‌بندی تطبیقی قوس‌گیری (DCA) و رسته‌بندی چندبعدی غیر­متریک (NMDS) براساس معیارهای طول گرادیان، Kaiser-Guttman، عصای شکسته، مقدار ویژه بیشتر از 4/0و تجزیه و تحلیل Procrusteanبرای ارائه مناسب‌ترین روش تجزیه و تحلیل پوشش گیاهی مورد ارزیابی قرار گرفتند.نتایج نشان داد که هرسه روش رسته­‌بندی توانایی نشان دادن ماهیت اصلی ساختار داده­‌ها را دارد.اگرچه با توجه به تجزیه و تحلیل Procrustean، همبستگی بین روش‌های رسته‌بندی اختلاف معنی‌داری داشتند، اماهمبستگی بین NMDS و DCA بیشتر از سایر رسته‌­بندی­‌ها بود. میزان تنش نهایی رسته‌­بندی NMDS کمتر از 10بود.DCAمعیارKaiser-Guttman را با یک محور و PCA با سه محور پوشش می­داد.همچنینPCAمعیار عصای شکسته را با سه محور می­‌پوشاند ومیزان مقدار ویژه درDCA بیشتر از 0/4 بود. به‌طورکلی می‌توان بیان کرد که درمجموع برای منطقه مورد مطالعه، روش­های رسته‌بندی DCA و NMDS مناسب­ترند.

کلیدواژه‌ها


عنوان مقاله [English]

Comparison of indirect ordination methods for analysis of the vegetation (Case study: Urmia airport plantation)

نویسندگان [English]

  • Javad Eshaghi Rad 1
  • Naqme Pakgohar 2
  • Abbas Banj Shafei 3
  • Seyyed Jalil Alavi 4
1 associations in Baharbon district of Kheyroud Associate Prof., Department of Forestry, Faculty of Natural Resources, Urmia University
2 M.Sc. Forestry, Department of Forestry, Faculty of Natural Resources, Urmia University
3 Assistant Prof., Department of Forestry, Faculty of Natural Resources, Urmia University
4 Assistant Prof., Department of Forestry, Faculty of Natural Resources, Tarbiat Modares University
چکیده [English]

This study aimed at investigating a range of widely-used approaches for indirect ordination analysis of vegetation. To this aim, a black pine (Pinus nigra Arnold.) plantation (9.2 ha) located at Urmia airport was studied. Nine plots of 100 m2 each were randomly set up in 50×50 m sampling grid, in which vegetation was recorded. In addition, three plots of 100 m2 with 50 meters interval were set up along transect in an adjacent meadow site as control area. We evaluated three ordination techniques (Principal Component Analysis, Detrended Correspondence Analysis, Non-Metric Multidimensional Scaling) with varying values of gradient length, Kaiser-Guttman, Broken stick, 70% of variance, eigenvalues > 0.4, final stress in NMDS ordination and Procrustean analysis. Result showed that all three ordinations are able to illustrate length of environmental gradient, though Procrustean analysis of all three datasets revealed significant differences in correlation between ordination methods.  DCA had eigenvalues > 4.0, and the covered Kaiser-Guttman criterion with an axis. Moreover, final stress was < 10 in NMDS ordination, yet PCA covered Kaiser-Guttman and broken stick criteria at three axes. In conclusion, the most appropriate ordination methods across our test site included DCA and NMDS.

کلیدواژه‌ها [English]

  • PCA
  • DCA
  • NMDS
  • Procrustean analysis
- Ahmad, S. and Yasmin, T., 2011. Vegetation classification along Hanna lake, Baluchistn using ordination techniques. Pakistan Journal of Botany, 43(2): 863-872.
- Anderson, A.J.B., 1971.Ordination methods in ecology. Journal of Ecology, 59: 713-726.
- Belbin, L. and McDonald, C., 1993. Comparing three classification strategies in ecology. Journal of Vegetation Science,4(3): 341-348.
- Braak, C. and Prentic, L., 1988. A theory of gradient analysis. Advances in Ecological Research, 18: 271-317.
- Braak, C. and Verdonschot, P., 1995. Canonical correspondence analysis and related multivariate methods in aquatic ecology. Aquatic Science-Research Arcoss Boundaries, 57(3): 255-289.
- Burke, D.J, López-Gutiérrez, J.C, Smemo, K.A. and Chan, C.R., 2009. Vegetation and soil environment influence the spatial distribution of root-associated fungi in mature beech-maple forest. Applied and Environmental Microbiology, 75(24): 7639-7648.
- Clark, K., 1993. Non-parametric multivariate analyses of changes in community structure. Australian Journal of Ecology, 18(1): 117-143.
- Cliff, N., 1988. The eigenvalues-greater than one rule and the reliability of components. Psychological Bulletin, 103(2): 704-712.
- Digby, P.G. and Kempton, R.K., 1987. Multivariate Analysis of Ecological Communities. Chapman and Hall, London, UK, 206p.
- Fashman, M., 1977. A comparison of nonmetric multidimensional scaling, principal components and reciprocal averaging for the ordination of simulation coenoclines and coenoplanes. Ecology, 58(3): 551-561.­
- Froniter, S., 1976. Etude de la decroissance des valeurs propres dans une analyze en composantes principals. Journal of Experimental Marine Biology and Ecology, 25: 67-75.
- Gauch, H.G., 1982. Multivariate Analysis in Community Ecology. Cambridge University Press, Cambridge, UK, 295p. ­
- Gauch, H.G. and Whittaker, R.H., 1972. Coenocline simulation. ESA Ecology, 53(2): 446-451.
- Gauch, H.G., Whittaker, R.H. and Singer, S.B., 1981. A comparative study of nonmetric ordinations. Journal of Ecology, 69(1): 135-152.­
- Ghafarnezhad, P. and Eshaghi Rad, J., 2011. Effect of Pinus nigra plantation on herb layer diversity (Case study: Urmia airport). Abstracts of Second National Conference on Biodiversity and its Impact on Agriculture and Environment. Iran, 4-5 June 2011: 23-24 (In Persian).­­
- Gower, J.C., 1971. A general coefficient similarity and some of its properties. Biometric, 27(4): 857-871.
- Guttman, L., 1954. Some necessary conditions for common factor analysis. Psychometrika, 19(2): 149-161
- Hardtle, W., Redecker, B., Assmann, T. and Meyer, H., 2006. Vegetation responses to environmental conditions in floodplain grasslands: Prerequisites for preserving plant species diversity. Basic and Applied Ecology, 7(3): 280-288.
- Heidari M., Pourbabaei H. and Roushan S., 2011. Natural regeneration of persian oak (Quercus brantii) between ecological species group in Kurdo-Zagros region. Iranian Journal of Biology, 24(1): 578-593 (In Persian).
- Hong, J., 1994.DCA ordination, environmental interpretation and geographical distribution model of spruce and fir plant communities in northwest Sichuan and South Gansu. Chinese Journal of Plant Ecology, 18(3): 209-218.
- Jackson, D.A., 1995. PROTEST: A procrustean randomization TEST of community environment concordance. Ecoscience, 2(3): 297-303.
- Jashni, J., Marvi Mohadjer, M., Zahedi Amiri, Gh., Etemad, V. and Hamzehee, B., 2012. Plant associations in Baharbon district of Kheyroud Forest and its relationship to land forms. Iranian Journal of Forest and Poplar Research, 20(3): 402-419 (In Persian).
- Kenkel, N.C. and Orloci, L., 1986. Applying metric and nonmetric multidimensional scaling to ecological studies. some new results Ecology, 67(4): 919-928.
- Kessell, S.R. and Whittaker, R.H., 1976. Comparisons of three ordination techniques. Vegetation, 32(1): 9-21.
- Khan, M. and Hussain, F., 2013. Classification and ordination of vegetation in Tehsil Takht-e-Nasrati, District Karak, Kyber Pakhtunkhawa, Pakistan. Journal of Ecology and the Natural Environment, 5(3): 30-39.
- Kharkwal, G., Rawat, Y. and Pangtey, Y., 2009. An ordination of the forest communities in Nainital catchment of Kumaun Himalaya. Journal of Environmental Biology, 30(5): 853-857.
- Kruskal, J.B., 1964. Nonmetric multidimensional Scaling: a numerical method. Psychometrika, 29(2): 115-129.
- Leps, J. and Smilauer, P., 1999. Multivariate analysis of ecological data. Faculty of Biological Science, University of South Bohemia Ceske Budjovice, 110p.
- Leps, J. and Smilauer, P., 2003. Multivariate Analysis of Ecological Data Using Canaco. Cambridge University Press, New York, 267p.
- Levis, E., Cakiroglu, A., Bucak, T., Odgaard, B. and Davidson, T., 2014. Similarity between contemporary vegetation and plant remains in the surface sediment in Mediterranean lakes. Freshwater Biology, 59(4): 724-736.
- Martinez, L.M., Estada, J.C. and Soriguer, J.A., 2012. The performance of three ordination methods applied to demersal fish data sets: Stability and interpretability. Fisheries Management and Ecology, 19: 200-213.
- McCune, B. and Grace, G., 2002. Analysis of ecological communities, MjM software design, Oregon, 300p.
- Moghadam, M., 2001.Quantity and Statistical Vegetation Ecology. University of Tehran Press, Tehran, 279p (In Persian).
- Molder, A., Bernhardt, M. and Schmidt, R., 2008. Herb-layer diversity in deciduous forests: Raised by tree richness or beaten by beech?. Forest Ecology and Management, 256(3): 272-281.
- Mosadeghani, M., 2001. Analysis and Description of the Vegetation (translation). Publication of Jahad Daneshgahi, Mashhad, 284p (In Persian).
- Oksanen, J., Blanchet, F.G., Kindt, R., Legendre, P., Minchin, P.R., O’Hara, R.B., Simpson, G.L., Solymos, P.M., Stevens, H. and Wagner, H., 2014. Community Ecology Package. R Package Version 2.2-0.
- Olden, J.D. and Jackson, D.A., 2001. Spatial isolation and fish communities in drainage lakes. Oecologia, 127(4): 527-585.
- Podani, J., 1989. Comparison of ordination and classification of vegetation data. Vegetation, 83(1-2): 11-128.
- Ruokolainen, L. and Salo, K., 2006. Differences in performance of four ordination on a complex vegetation dataset. Annales Botanici Fennici, 43(4): 269-275
- Tahmaseby, P., 2011. Ordination (Multivariate Analyzes in Environmental Sciences and Natural Resources) Publication of Shahrekord University, Shahrekord, 188p (In Persian).
- Urban, D., Goslee, S., Pierce, K. and Looking, T., 2002. Extending community ecology to landscape. Ecoscience, 9(2): 200-202.
- Wilson, J.B., 1981. A statistical test of the accuracy and consistency of ordination. Oecologia, 62: 8-12.
- Xianping, Z., Mengben, W., Bo. Sh. and Yang, X., 2006. Quantitative classification and ordination of forest communities in Pangquangou National Nature Reserve. Acta Ecologica Sinica, 26(3): 754-761.