Phenological study and response patterns of Salsola kerneri along the gradient of environmental factors in steppe regions of Yazd province

Zarekia, Sedigheh; Mirdavoodi2, Hamidreza; Mirhoseini, Ali; Mirjalili, Alibeman; Zare, Mohammad Taghi

[Home ] [Archive]

[ فارسی ]

Main Menu

Home

Journal Information

Articles archive

For Authors

For Reviewers

Registration

Contact us

Site Facilities

Search in website

Receive site information

Volume 9, Issue 18 (10-2021)

PEC 2021, 9(18): 389-409

Back to browse issues page

Phenological study and response patterns of Salsola kerneri along the gradient of environmental factors in steppe regions of Yazd province

Sedigheh Zarekia

, Hamidreza Mirdavoodi2 ^*

, Ali Mirhoseini

, Alibeman Mirjalili

, Mohammad Taghi Zare

Markazi Agriculture and Natural Resources Research and Education Center , hmirdavoodi@yahoo.com

Abstract: (1957 Views)

Non-living environmental factors have a major impact on the distribution and yield of plant species. To this end, the relationship between soil and topographic variables on the response of Salsola kerneri (Wol.) Botsch plant species in Yazd province is evaluated. Generalized Additive Models (GAM) were used to investigate the specieschr('39') response to environmental factors. The results showed that S. kerneri grows in areas with cold arid climate with an average rainfall of about 100 to 120 mm and an average temperature of about 14 to 16 ° C. According to the studied habitats, S. kerneri is distributed at an altitude of 1750 to 2350 meters a.s.l. This species grows in clay-sandy loam soils with salinity between 0.7 to 4.5 and acidity of 8.2 and nitrogen content of 0.04. The average canopy cover of this species in Sadrabad and Khoranagh habitats is 1.8 and 1.3 percent, respectively. Response pattern of S. kerneri along the saturation moisture and litter percentage of soil surface, followed the monotonic increase model, and with the increase of these values, its frequency and percentage of vegetation increased. Conversely, the response of this species along the slope of the amount of electrical conductivity (EC) follows the monotonic decrease model, and with the increase of this factor, the presence and percentage of vegetation has decreased. response pattern S. kerneri followed the Unimodal model along the slope of sand, clay, limestone and altitude, and its optimal growth rate for these factors was 59, 23, 12 and 2200 meters above sea level, respectively. The results of S. kerneri phenology studies showed that the growth of this plant begins in the second half of March. Flowering usually begins in early July and seeds are formed in the third decade of September. Seed shedding begins in mid-November and continues until the first week of December, when the seed stage arrives. The best time to collect seeds is late October. Examining the ecological needs of S. kerneri in relation to topographic and soil factors, provided valuable information about this species that can be considered in vegetation management and rangeland improvement operations in similar areas.

Keywords: S. kerneri, Generalized Collective Model, Ecological Factors, Species Response Curve, Phenology

Full-Text [PDF 1261 kb] (512 Downloads)

Type of Study: Research | Subject: Special
Received: 2020/07/21 | Accepted: 2020/11/15 | Published: 2021/09/28

References

1. Austin, M.P. 2002. Spatial prediction of species distribution: an interface between ecological theory and statistical modelling. Ecological Modelling, 157: 101-118.

2. Austin, M.P., Belbinb, L., Meyers, J.A., Dohertya, M.D., Luotoc, M. 2006. Evaluation of statistical models used for predicting plant species distributions: Role of artificial data and theory. Ecological Modelling, 199 (2):197-216.

3. Akhani, H., Ghorbanli, M. 1993. A contribution to the halophytic vegetation and flora of Iran. In: Lieth H., Al Masoom A.A. (eds) Towards the rational use of high salinity tolerant plants. Tasks for vegetation science, vol 27. Springer, Dordrecht

4. Biaou, S.H., Sterck, Ir. F.J., Holmgren, M. 2009. Tree recruitment in West African dry woodlands. The interactive effects of climate, soil, fire and grazing. PhD thesis, Wageningen University, The Netherlands. 182 p.

5. Chambers, J.C., Brown, R.W. 1983. Methods for vegetation sampling and analysis on revegetated mined lands. USFS General Technical Report INT-151.

6. Dawson, C.W., Abrahart, R.J., See, L.M. 2007. HydroTest: a web-based toolbox of evaluation metrics for the standardized assessment of hydrological forecasts, Environmental Modelling and Software, 22(7): 1034-1052.

7. Gogina, M. 2010. Investigation of interrelations between sediment and near-bottom environmental parameters and macrozoobenthic distribution patterns for the Baltic Sea. A doctoral thesis at the Ernst Moritz Arndt University of Greifswald, Germany.

8. Guisan, A., Edwards, T. C. Jr., Hastie, T. 2002. Generalized linear and generalized additive models in studies of species distributions: setting the scene. Ecologycal Modelling, 157: 89–100.

9. Hastie, T., Tibshirani, R. 1987. Non- parametric logistic and proportional odds regression. Applied statistics, 36 (3): 260-276.

10. Kolahi, M., Atri, M. 2014. The Effect of Ecological Factors on Vegetation in Hamedan Alvand Region (Iran). International Journal of Farming and Allied Sciences, 5(3): 489-496.

11. Kostel-Hughes, F., Young, T.P., Wehr, J.D. 2005. Effects of leaf litter depth on the emergence and seedling growth of deciduous forest tree species in relation to size. Torrey Botanical Society, 132:50-61.

12. Leonard, S.G., Miles, R.L., Burkhartdt, J.W. 1984. Comparison of soil properties associated with basin wildrye and black greaswood in the Great Basin region.

13. Leps, J., Smilauer, P. 2003. Multivariate Analysis of Ecological Data using CANOCO. Cambridge University Press.269 pp.

14. Mirdavoodi, H., Marvie Mohadjer, M., Davis, M., Zahedi Amiri, G., Etemad, V., Zandi Esfahan, E. 2015. Are disturbances altering the species composition of Iranian oak woodland? Journal of Biodiversity and Environmental Sciences, 6(1): 499-510.

15. Palmer, M.W. 1993. Putting things in even better order: The advantages of canonical correspondence analysis. Ecology 74: 2215- 2230.

16. Ter Braak, C.J.F., Smilauer, P. 2002. Canoco, reference manual and CanoDraw for Windows user’s guide: software for canonical community ordination (version 4.5). Microcomputer Power, Ithaca.

17. Vallentine, J.F. 2001. Grazing Management. Academic Press, USA.

18. Wassie, A., Sterck, F.J., Teketay, D., Bongers, F. 2009. Effect of livestock exclusion on tree regeneration in church forests of Ethiopia. Forest Ecology and Management 257: 765- 772.

19. Yee, T.W., Mackensis, M. 2002. Vector generalized additive models in plant ecology. Ecological Modelling 157, 141e156.

20. Yee, T.W., Mitchell, N.D. 1991. Generalized additive models in plant ecology. Journal of Vegetation Science, 2(5): 587-602.

21. Zare, M., Zandi Esfahan, E., Ghorbani, A. 2019. Forage Quality of Salsola yazdiana and S. tomentosa in Different Growth Stages in Saline Desert of Yazd Province, Journal of Rangeland Science, 9 (2): 104-113.

22. Zhang, J., Dong, Y. 2010. Factors affecting species diversity of plant communities and the restoration process in the loess area of china, Ecological Engineering, 36: 264-270.

23. Zhang, X., Mengben, W., Bo, S., Yang, X. 2006. Quantitative classification and ordination of forest communities in Pangquangou Nationa Nature Reserve. Acta Ecologica Sinica, 26(3): 754-761.

Send email to the article author

Add your comments about this article

Mendeley

Zotero

RefWorks

Zarekia S, Mirdavoodi2 H, Mirhoseini A, Mirjalili A, Zare M T. Phenological study and response patterns of Salsola kerneri along the gradient of environmental factors in steppe regions of Yazd province. PEC 2021; 9 (18) :389-409
URL: http://pec.gonbad.ac.ir/article-1-710-en.html

Rights and permissions
	This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Volume 9, Issue 18 (10-2021)

Back to browse issues page

Persian site map - English site map - Created in 0.05 seconds with 37 queries by YEKTAWEB 4645