Journal of Mountain Science

, Volume 16, Issue 6, pp 1408–1418 | Cite as

Investigation of rangeland indicator species using parametric and non-parametric methods in hilly landscapes of central Iran

  • Asieh Sheikhzadeh
  • Hossein BashariEmail author
  • Mostafa Tarkesh Esfahani
  • SeyedHamid Matinkhah
  • Mohsen Soleimani


This study aimed to identify indicator species and explore the most important environmental and management variables contributing to vegetation distribution in a hilly upper dam landscape in Zagros Mountain chain, Iran. A stratified random sampling method was used to collect topographic, edaphic, management and vegetation data. The density and cover percentage of perennial species were measured quantitatively. Indicator species were identified using the two-way indicator species analysis. Besides calculating physiognomic factors in sample sites, 24 soil samples were collected from 0 to 30 cm of soil depth and analyzed in terms of gravel percentage, texture, saturation moisture, organic matter, pH and electrical conductivity in saturation extract, lime percentage, soluble calcium and magnesium, available phosphorus, Cation Exchange Capacity (CEC) and soluble sodium and potassium. Multivariate techniques including Canonical Correspondence Analysis and Multi-Dimensional Scaling were used to explore the relationships of species with environmental and management variables. Seven plants were identified as indicator species due to being significantly correlated with management (grazing or non-grazing) and edaphic variables such as CEC, soil texture, pH, CaCO3 percentage and physiographic variable including slope, elevation, and convex and concave formations (p < 0.05). Overall, overgrazing and its subsequent effects on soil characteristics, loss of vegetation cover and trampling were found as the major causes of deterioration. Sustainable and integrated management practices such as the implementation of appropriate grazing systems were suggested to enhance soil quality and reduce the accelerated erosion in upper dam zones.


Ordination Two-way indicator species analysis Grazing management Ecological amplitude Exclosure 


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The authors would like to thank Isfahan University of Technology for its financial support and laboratory facilities.


  1. Angiolini C, Bonari G, Landi M (2017). Focal plant species and soil factors in Mediterranean coastal dunes: An undisclosed liaison? Estuarine, Coastal and Shelf Science 211: 248–258. CrossRefGoogle Scholar
  2. Belbin L (2003) WinPATN, version 2. Griffith University and the University of Queensland, Brisbane.Google Scholar
  3. Bosch OJH, Gauch HG (1991) The use of degradation for the assessment and ecological interpretation of range condition. The Grassland Society of South Africa 8(4): 138–146. CrossRefGoogle Scholar
  4. Bosch OJH, Rensburg V (1987) Ecological status of species on grazing gradients on shallow soils of the western grassland biome in South Africa. Journal of the Grassland Society of Southern Africa 4(4): 143–147. CrossRefGoogle Scholar
  5. Carpio AJ, Soriano MA, Guerrero-Casado J, et al. (2017) Evaluation of an unpalatable species (Anthemis arvensis L.) as an alternative cover crop in olive groves under high grazing pressure by rabbits. Agriculture, Ecosystem & Environment 246: 48–54. CrossRefGoogle Scholar
  6. Chen C, Wu S, Meurk CD, et al. (2017) Effects of local and landscape factors on exotic vegetation in the riparian zone of a regulated river: Implications for reservoir conservation. Landscape and Urban Planning 157: 45–55. CrossRefGoogle Scholar
  7. De Martonne E (1926a) L’ indice d’aridit e. Bulletin de L’ Association d es Geographes Francais 9:3–5.CrossRefGoogle Scholar
  8. De Martonne E (1926b) Une nouvelle fonction climatologique. L indiced’ aridie. La Meterologie 2: 449–458.Google Scholar
  9. Dudley N, Bhagwat SA, Harris J, et al. (2018) Measuring progress in the status of land under forest landscape restoration using abiotic and biotic indicators. Restoration Ecology 26: 5–12. CrossRefGoogle Scholar
  10. Elith J, Leathwick JR (2009). Species distribution models: ecological explanation and prediction across space and time. Annual Review of Ecology, Evolution, and Systematics 40: 677–697. CrossRefGoogle Scholar
  11. Everitt BS, Landau S, Leese M, et al. (2011) Cluster analysis, 5th ed, Chichester, England, Willey. p 346.CrossRefGoogle Scholar
  12. Ghasriani F, Mohebby A, Shirmardi HA, et al. (2016) Determining the allowable use for Astragalus effusus Bunge in the mountainous and semi-Steppe rangelands of Iran. Journal of Biodiversity and Environmental Sciences 9(4): 34–39.Google Scholar
  13. Gregorich EG, Carter MR (2007) Soil sampling and methods of analysis. CRC Press. p 1264.Google Scholar
  14. Hill TR (1996) Description, classification and ordination of the dominant vegetation communities, Cathedral Peak, KwaZuluNatal Drakensberg. South African Journal of Botany 62(5): 263–269. CrossRefGoogle Scholar
  15. Hunnam P (2011) Conservation of biodiversity in the Central Zagros landscape conservation zone: Mid-Term evaluation report. The government of the Islamic Republic of Iran, United Nations Development Program, Global Environment Facility, Project No. PIMS, 2278.Google Scholar
  16. Hurt CR, Hardy MB (1989) A weighted key species method for monitoring changes in species composition of Highland Sourveld. Grassland Society of South Africa 6(3): 109–113. CrossRefGoogle Scholar
  17. Jafari M, Chahouki MZ, Tavili A, et al. (2004). Effective environmental factors in the distribution of vegetation types in Poshtkouh rangelands of Yazd Province (Iran). Journal of Arid Environments 56(4): 627–641. CrossRefGoogle Scholar
  18. Jafarian Z, Kargar M, Bahreini Z (2019). Which spatial distribution model best predicts the occurrence of dominant species in semi-arid rangeland of northern Iran? Ecological Informatics 50: 33–42. CrossRefGoogle Scholar
  19. Jalili A, Jamzad Z (1999) Red data book of Iran. Research Institute of Forests and Rangelands, Tehran, Iran. p 748.Google Scholar
  20. Karfs RA, Abbott, BN, Scarth PF, et al. (2009) Land condition monitoring information for reef catchments: a new era. Rangeland Journal 31(1): 69–86. CrossRefGoogle Scholar
  21. Kargar-Chigani H, Javadi SA, Zahedi-Amiri G, et al. (2017) Vegetation composition differentiation and species-environment relationships in the northern part of Isfahan Province, Iran. Journal of Arid Land 9(2): 161–175. CrossRefGoogle Scholar
  22. Kenkel NC, Orlóci L (1986) Applying metric and nonmetric multidimensional scaling to ecological studies: some new results. Ecology 67(4): 919–928. CrossRefGoogle Scholar
  23. Kent M, Coker P (1992) Vegetation description and analysis. Belhaven Press, London, UK. p 363.Google Scholar
  24. Khaledian Y, Kiani F, Ebrahimi S, et al. (2017) Assessment and monitoring of soil degradation during land use change using multivariate analysis. Land Degradation & Development 28(1): 128–141. CrossRefGoogle Scholar
  25. Khatibi R, Soltani S, Khodagholi M (2017) Effects of climatic factors and soil salinity on the distribution of vegetation types containing Anabasis aphylla in Iran: a multivariate factor analysis. Arabian Journal of Geosciences 10: p 36. CrossRefGoogle Scholar
  26. Khaznadar M, Vogiatzakis IN, Griffiths GH (2009) Land degradation and vegetation distribution in Chott El Beida wetland, Algeria. Journal of Arid Environments 73(3): 369–377. CrossRefGoogle Scholar
  27. Kruskal WH, Wallis WA (1952) Use of ranks in one-criterion variance analysis. Journal of American Statistical Association 47: 583–621. CrossRefGoogle Scholar
  28. Lacey J, Mosley J (2002) 250 plants for range contests in Montana. MONTGUIDE MT198402 AG 6/2002. Range E-2 (Misc.). Bozeman, MT: Montana State University, Extension Service. p4.Google Scholar
  29. Leonard SG, Miles RL, Burkhartdt JW (1984) Comparison of soil properties associated with basin wildrye and black greasewood in the Great Basin region.Google Scholar
  30. Leps J, Smilauer P (2003) Multivariate Analysis of Ecological Data Using CANOCO. Cambridge University Press, New York, USA. p 283.CrossRefGoogle Scholar
  31. McCune B, Mefford MJ 1999. PC-ORD: multivariate analysis of ecological data; Version 4 for Windows; (User’s Guide). MjM software design.
  32. Moeslund JE, Arge L, Bøcher PK, et al. (2013) Topographically controlled soil moisture drives plant diversity patterns within grasslands. Biodiversity and Conservation 22(10): 2151–2166. CrossRefGoogle Scholar
  33. Monier MA, Wafaa MA (2003) Soil vegetation relationships in coastal desert plain of southern Sinai, Egypt. Journal of Arid Environments 55(4): 607–628. CrossRefGoogle Scholar
  34. Mott JJ, Ludlow MM, Richards JH, et al. (1992) Effects of moisture supply in the dry season and subsequent defoliation on persistence of the savanna grasses Themeda triandra, Heteropogon contortus and Panicum maximum. Australian Journal of Agricultural Research 43(2): 241–260. CrossRefGoogle Scholar
  35. Murphy KJ, Dickinson G, Thomaz SM, et al. (2003) Aquatic plant communities and predictors of diversity in a sub-tropical river floodplain: the upper Rio Paraná, Brazil. Aquatic Botany 77(4): 257–276. CrossRefGoogle Scholar
  36. Omoro LMA, Laiho R, Starr M, et al. (2011) Relationships between native tree species and soil properties in the indigenous forest fragments of the Eastern Arc Mountains of the Taita Hills, Kenya. Forestry Studies in China 13: 198–210. CrossRefGoogle Scholar
  37. Pendleton RI, Smith BN (1983) Vesicular-arbuscular mycorrhizae of weedy and colonizer plant species at disturbed sites in Utah. Oecologia 59(2): 296–301. CrossRefGoogle Scholar
  38. Ruokolainen L, Salo K (2006) Differences in performance of four ordination methods on a complex vegetation dataset. Annales Botanici Fennici 43(4): 269–275.Google Scholar
  39. Safaei M, Jafari R, Bashari H, et al. (2018) Mapping and monitoring of the structure and function of rangeland ecosystems in central Zagros, Iran. Environmental Monitoring and Assessment 190(11): 662. CrossRefGoogle Scholar
  40. Scanlan, JC, McIvor JG, Bray SG, et al. (2014). Resting pastures to improve land condition in northern Australia: guidelines based on the literature and simulation modelling. The Rangeland Journal 36(5): 429–443. CrossRefGoogle Scholar
  41. Schwoertzig E, Poulin N, Hardion L, et al. (2016) Plant ecological traits highlight the effects of landscape on riparian plant communities along an urban-rural gradient. Ecological Indicators 61: 568–576. CrossRefGoogle Scholar
  42. Sharma DK, Singh A, Sharma PC, et al. (2016) Sustainable management of sodic soils for crop production: opportunities and challenges. Journal of Soil Salinity and Water Quality 8(2): 109–130.Google Scholar
  43. SRM TASK GROUP (Society for Range Management Task Group on Unity in Concepts and Terminology Committee) (1995) New concepts for assessment of rangeland condition. Journal of Range Management 48(3): 271–282. CrossRefGoogle Scholar
  44. Tatian M, Arzani H, Reihan MK, et al. (2010) Effect of soil and physiographic factors on ecological plant groups in the eastern Elborz mountain rangeland of Iran. Grassland Science 56: 77–86. CrossRefGoogle Scholar
  45. Ter Braak CJF, Smilauer P (2002) CANOCO Reference Manual and Cano-Draw for Windows User’s Guide — Software for Canonical Community Ordination (Version 4.5). Microcomputer Power, Ithaca, New York. p 500.Google Scholar
  46. Ünal S, Mutlu Z, Urla Ö, et al. (2013). The determination of indicator plant species for steppe rangelands of Nevşehir Province in Turkey. Turkish Journal of Agriculture and Forestry 37: 401–409. CrossRefGoogle Scholar
  47. Ünal S, şahin B, Urla O, et al. (2017) The use of indicator species and ecological degradation model for condition assessment in Turkey. Tarla Bitkileri Merkez Araştirma Enstitüsü Dergisi 26(2): 190–202. Google Scholar
  48. Vahabi MR, Bassiri M, Moghaddam, MR, et al. (2007) Determination of the most effective habitat indices for evaluation of tragacanth sites in Isfahan province. Iranian Journal of Natural Resources 59 (4): 1013–1029. (In Persian with English abstract)Google Scholar
  49. Van der Westhuizen HC, Snyman HA, Fouché HJ (2005) A degradation gradient for the assessment of rangeland condition of a semi-arid sourveld in Southern Africa. African Journal of Range and Forage Science 22(1): 47–59. CrossRefGoogle Scholar
  50. Vincent RC, Meguro M (2008). Influence of soil properties on the abundance of plant species in ferruginous rocky soils vegetation, southeastern Brazil. Revista Brasileira de Botânica 31(3): 377–388. Google Scholar
  51. Vogiatzakis IN, Griffiths GH, Mannion AM (2003) Environmental factors and vegetation composition, Lefka Ori massif, Crete, S. Aegean. Global Ecology and Biogeography 12(2): 131–146. CrossRefGoogle Scholar
  52. Wang M, Bezemer TM, van der Putten WH, et al. (2018) Plant responses to variable timing of aboveground clipping and belowground herbivory depend on plant age. Journal of Plant Ecology 11(5): 696–708. CrossRefGoogle Scholar
  53. Wang Y, Heberling G, Görzen E, et al. (2017) Combined effects of livestock grazing and abiotic environment on vegetation and soils of grasslands across Tibet. Applied Vegetation Science 20(3): 327–339. CrossRefGoogle Scholar
  54. Woldewahid G, van Der Werf W, Sykora K, et al. (2007) Description of plant communities on the Red Sea coastal plain of Sudan. Journal of Arid Environments 68(1): 113–331. CrossRefGoogle Scholar
  55. Xu X, Ma K, Fu B, et al. (2008) Relationships between vegetation and soil and topography in a dry warm river valley, SW China. Catena 75(2): 138–145. CrossRefGoogle Scholar
  56. Yousefzadeh K, Houshmand S, Zamani G (2010) Karyotype analysis of Astragalus effusus Bunge (Fabaceae) Caryologia 63(3): 257–261. CrossRefGoogle Scholar
  57. Zar JH (1984) Biostatistical Analysis. Prentice-Hall, Englewood Cliffs NJ. p 718.Google Scholar
  58. Zhang Z, Huisingh D (2018) Combating desertification in China: monitoring, control, management, and revegetation. Journal of Cleaner Production 182: 765–775. CrossRefGoogle Scholar
  59. Zeder MA (1999) Animal domestication in the Zagros: a review of past and current research. Paléorient 25(2): 11–25. CrossRefGoogle Scholar

Copyright information

© Science Press, Institute of Mountain Hazards and Environment, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Natural ResourcesIsfahan University of TechnologyIsfahanIran

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