Determining effective environmental factors on plants functional diversity and species diversity in Ravar rangelands

jafarian, zeinab; dehghan, mojdeh; barjasteh, farhad; kargar, mansoureh

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Volume 7, Issue 15 (2-2020)

PEC 2020, 7(15): 1-22

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Determining effective environmental factors on plants functional diversity and species diversity in Ravar rangelands

Zeinab Jafarian ^*

, Mojdeh Dehghan

, Farhad Barjasteh

, Mansoureh Kargar

, jafarian79@yahoo.com

Abstract: (3157 Views)

The main objective of the study was to investigate affecting environmental factors on functional diversity indices and species diversity for the fluctuation of the management based on the ecological conditions in Raver rangeland. To determine the functional attributes of rangeland plants, twelve height points were selected along elevation gradient in 100- meter distances. Five sampling plots were established at any point along transects perpendicular to the slope. Sixty plots were harvested totally. Three soil samples were taken from 10 to 20 cms depth in each point. Soil properties including relative moisture, percent of silt, clay and sand, OM, N, P, K, EC, CaCo3 and pH were then measured in laboratory. Six functional traits including plant height, growth form, type of reproduction, longevity, life form and type of nitrogen-fixing measure. Eight functional diversity indices including Rao (Rao), multiple convex (Rao), Functional richness (FRic), Functional Eveness (FEve), Function Divergence (FDiv), the distribution function (FDis), a variety of features function (FAD1) index modified variety of performance characteristics (FAD2) and four species diversity indices were calculated with software FDivrsity. To investigate the relationship between environmental factors, plant species and functional and species diversity indices were used multivariate analysis (DCA, CCA, and RDA). The results showed that factors such as altitude, the percentage of lime, organic matter and moisture have the greatest impact on plant. The results of the correlation between environmental variables with functional variation showed that the highest correlation for the first axis is related to the initial moisture content of 0.44 and the second axis with respect to silt with a value of 3817.0. Also, the correlation between environmental factors indicated that high correlation between moisture (r = 0.61), EC (r = 0.75), pH (r = 0.68), organic matter (r = 0.78), silt (r = 0.72) and elevation of sea level (r = 0.77) with the first axis of the species. The correlation between functional diversity varieties and species richness indicated that most of the indicators have increased with increasing species richness. Only the CHull index has been reduced with increasing species richness and the uniformity of performance and richness of species richness have not been significantly correlated with plant species.

Keywords: Functional Diversity, Functional traits, Soil properties, Ravar rangeland

Full-Text [PDF 306 kb] (671 Downloads)

Type of Study: Applicable | Subject: Special
Received: 2018/04/17 | Accepted: 2019/04/22 | Published: 2020/03/17

References

1. Bu W., Zang R., Ding Y. 2014. Functional diversity increases with species diversity along successional gradient in a secondary tropical lowland rainforest. Tropical Ecology, 55(3): 393-401.

2. Buri A, Cianfrani C, Pinto-Figueroa E, Yashiro E, Spangenberg J, Adatte T, Verrecchia E, Guisan A, and Pradervand J N.2017. Soil factors improve predictions of plant species distribution in a mountain environment. Progress in Physical Geography: Earth and Environment 41(6): 703-722.

3. Casanoves F., Pla, L., Di Rienzo A., Díaz, S. 2011. FDiversity: a software package for the integrated analysis of functional diversity: Ecology and Evolution, 2(3): 233¬-237.3.

4. Chapin F., Zavaleta S., E. S., Eviner V. T., Naylor R. L. , VitousekP. M. , Reynolds, H. L. , U. Hooper U., Lavorel D., Sala S. O. E., Hobbie S. E., Mack M. C., Diaz S. 2000. Consequences of changing biodiversity. Nature, 405: 234-242.

5. Comstock, J.P. Ehleringer J.R. 1992. Plant adaptation in the Great Basin and Colorado Plateau. Naturalist, 21: 43-52.

6. Dehghan M. 2016. Study of Plant Diversity in Line with Altitude Grades, Master's Thesis, Faculty of Natural Resources, Sari, Sari University of Agricultural Sciences and Natural Resources,102p.

7. Jafari haghiaghi, M. 2003.Analytical methods of sampling and analysis of soil physical and chemical (with an emphasis on theory and practical). Press Neda Zoha, p. 236. (In Persian).

8. Jafarian Z., Arzani H., Zahedi GH., Azarnivand H. 2008. Discriminant analysis was used to determine the relationship between environmental factors and the distribution of plant species in Rangeland Reineh province of satellite data, Water management Research.vpl. 23(3): 64-71. (In Persian).

9. Dubuis A., Rossier L., Pottier J., Pellisseir L., Vittoz P., Gusian A. 2013. Predicting current and future spatial community patterns of plant functional traits. Ecoghraphy, 36: 1-13.

10. Duivenvoorden, J.F. Cuello, A. 2012. Functional trait state diversity of Andean forests in Venezuela changes with altitude. Journal of Vegetation Science, 23(6): 1105-1113.

11. Ghazimoradi, M. 2013. Modeling the potential habitat of coma species using two models of Verbibizin networks (BBN) and generalized incremental model (GAM) in Fereydoun area of Isfahan. Master's degree in Commodity Management, Isfahan University of Technology. 112 p.

12. Getzin, S., Dean, CH., He, F., Trofymow, J.A. , Wiegand, K. , Wiegand, T. 2006. Spatial patterns and competition of tree species in adouglas-fir cjoronosequenceon Vancouver Island. Ecography, 29: 671-682.

13. He, M.Z., Zheng, J.G. Li, X. R. Qian, Y.L. 2007. Environmental factors affecting vegetation composition in the Alxa Plateau, China, Journal of Arid Environments 69: 473–489.

14. Hooper D.U., Bignell D.E., Brown V.K., Brussard L., Dangerfield, J. M., Wall D.H. 2000. Interactions between aboveground and belowground biodiversity in terrestrial ecosystems: patterns, mechanisms, and feedbacks. Bioscience, 50 (12): 1049–1061.

15. Karimzade A. 2010. Analysis of the relationship between vegetation and some environmental factors using multivariate analysis (Case study: Red Bird Rangelands of Semnan province). Master's Degree, Natural Resources Faculty, Sari, Sari University of Agricultural Sciences and Natural Resources,143p. (In Persian).

16. Laliberte E., Legendre P. 2010. A distance-based framework for measuring functional diversity from multiple traits. Ecology, 91(1): 299–305.

17. Ma M., Herzon I. 2014. Plant functional diversity in agricultural margins and fallow fields varies with landscape complexity level: Conservation implications. Journal for Nature Conservation, 22: 525–531.

18. Mansoori Z., Tahmesebi P., Saied far M., Shrmardi H.A. 2013. Responsiveness of the diversity of plant communities' performance to animal grazing during slope of rainfall changes in order to protect steppe and semi steppe regions, Journal of Greenhouse Conservation,1(3):91-104. (In Persian).

19. Mason N.W.H, MacGillivray K. Steel J.B., Wilson J.B. 2003. An index of functional diversity. Journal of Vegetation Science 14:571–578.

20. Mason N., de Bello F. Mouillot D. Pavoine S. and Dray S. 2013. A guide for using functional diversity indices to reveal changes in assembly processes along ecological gradients, Journal of Vegetation Science 24: 794–806.

21. Moghaddam M. R. 2008.Range and rangemanagement,169p.

22. Pellissier L., Fournier B., Guisan A., Vittoz P. 2010. Plant traits co-vary with altitude in grasslands and forests in the European Alps. Plant Ecology, 211:351-365.

23. R Core Team. , 2014. R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL http://www.R-project.org/

24. Rossier, L., 2011. Predicting spatial patterns of functional traits. PhD thesis in Department of Ecology and Evolution, University of Lausanne, Switzerland, 44 p.

25. Sebastia´ M.T. 2004. Role of topography and soils in grassland structuring at the landscape and community scales. Basic and Applied Ecology, 5: 331–346.

26. Song Y., Wang P., Zhou G. D. 2014. Relationships between functional diversity and ecosystem functioning: A review. Acta Ecologica Sinica, 34: 85-91.

27. Sonnier G., Shiply B., Navas M.L.2010. Plant traits, species pools and the prediction of relative abundance in plant communities: a maximum entropy approach. Journal of Vegetion Science, 27: 318-331.

28. Tahmasebi, P., Moradi, M., Omidpour, R., 2017.Plant functional identity as the predictor of carbon storage in semi-arid ecosystems, Plant Ecology & Diversity. 10: 139-151. (In Persian).

29. Tahmasebi P.2009. Analysis of the Operation of Rangeland Ecosystems, pelk Publishing,224p. (In Persian).

30. Thuiller W., C. Albert M.B. Araujo P.M. Berry M. Cabeza A. Guisan T. Hickler G.F. Midgely J. Paterson F.M. Schurr M. Sykes T., Zimmermann N.E. 2008. Predicting global change impacts on plant species distributions: future challenges. Perspectives in Plant Ecology, Evolution and Systematics, 9: 137–152.

31. Violle, C. 2007. Let the concept of trait be functional. Oikos, 116: 882-892.

32. Walker B.H. Langridge J. L. 2002. Measuring Functional Diversity in Plant Communities with Mixed Life Forms: A Problem of Hard and Soft Attributes. Ecosystems, 5: 529–538.

33. Wondzell, S, M., Cornelius, J.M., Cunningham, G.L. 1990. Vegetation patterns, microtopography and Soil on a Chinhuhuan desert. Journal of Vegetation science, 1: 403-410.

34. Zarechahoki M.A., Jafari M., Azarnivand H., Moghadam M.R., Farahpoor M., Shafizadeh M. 2007. Application of Logistic Regression Method in Investigating the Relationship Between the Presence of Plant Species and Environmental Factors in Poshtkuh Rangelands of Yazd. Journal of Research and Development, 76:136-143.

35. Zhang J., Li, T., Nie M. E. 2014. Pattern of functional diversity along an altitudinal gradient in the Baihua Mountain Reserve of Beijing, China: Brazilian Journal of Botany, 37(1): 37–45.

36. Zhang J. T., and Linfeng J. X. 2015. Variation of plant functional diversity along a disturbance gradient in mountain meadows of the Donglingshan reserve, Beijing, China. Russian Journal of Ecology 46 (2):157-166.

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jafarian Z, dehghan M, barjasteh F, kargar M. Determining effective environmental factors on plants functional diversity and species diversity in Ravar rangelands. PEC 2020; 7 (15) :1-22
URL: http://pec.gonbad.ac.ir/article-1-448-en.html

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