Persian
Language
Geographical Research is Published in Persian Fulltext.
Volume 32, Issue 4 (2018)
GeoRes 2018, 32(4): 148-157 |
Back to browse issues page
Article Type:
Subject:
History
Received: 2017/07/23 | Accepted: 2017/10/14 | Published: 2018/03/16
Received: 2017/07/23 | Accepted: 2017/10/14 | Published: 2018/03/16
How to cite this article
Eini S, Sobhani B, Jahanbakhsh Asl S, Nohegar A. Pasture Covering Status in Growth Period, Case Study: Shirvan Darasi Aquiferous Zone. GeoRes 2018; 32 (4) :148-157
URL: http://georesearch.ir/article-1-372-en.html
URL: http://georesearch.ir/article-1-372-en.html
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Rights and permissions
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
1- Department of Climatology, University of Mohaghegh Ardabili, Ardabil, Iran
2- Tabriz University, Tabriz, Iran
3- Department of Environmental Management Planning, Tehran University, Tehran, Iran
2- Tabriz University, Tabriz, Iran
3- Department of Environmental Management Planning, Tehran University, Tehran, Iran
Abstract (4083 Views)
The aim of current research is to access pasture covering status in drought and rainy conditions during pasture germination beginning and climax periods in different altitudes of Shirvan darasi aquiferous zone at Meshkinshahr city. So, by using precipitation data, total daily, participation, minimum, maximum and mean temperature of Meshkinshahr were measured during 1996-2016 statistical period and were used for determining pasture growth in different periods and calculating standard precipitation index (SPI) in 3 time intervals with 1, 3 and 6 months and also TM Landset satellite images were applied for plant covering difference index (NDVI) and leaf area index (LAI) during pasture germination beginning and climax periods in different altitudes of studied zone. In order to investigation the relationship between studied indices, (R2) correlation, (R) Pearson correlation and RMSE (root mean of square error) coefficients were used. Based on SPI index results, precipitation position was normal in most of years in the region, but the most drying conditions have happened during April, May, June months for pasture growth period. Obtained results from implementation and evaluation of indices showed that the most correlation between leaf area index at standard participation and pasture germination climax periods at pasture germination beginning period was equal to 0/874, with the least error rate which it is equal to 1/32. According to Pearson correlation coefficient there is significant relationship between participation amount during pasture germination beginning period with pasture covering area at germination climax period. Generally, results showed that precipitation decline during early stages of pasture growth period has a more significant impact in determining growth conditions and pasture congestion compared to dry conditions in other pasture growth stages.
References
1. Akbari, M. (2005), Improving Farms Irrigation Management by Using Satellite, Farmdata Combining and SWAP Simulation Model, Ph. D Thesis, Tehran, Tarbiat Modarres University (in Persian)
2. Anderson, M., Booning., F. (1984), Plant Physiology Basis, Translated by Hossien Lesani and Masoud Mojtahedi, Tehran University Pub, p.726.
3. Arkhi, S., Niazi, Y., Adibnezhad, M. (2011), Plant Covering Changes Stability by Using Distant Measuring Techniques at Ilam Aquiferous, Geography and Aevelopment Magazine, No. 24, pp. 121-136 (in Persian).
4. Asiaei, M. (2006), Famine Analysis by Using Standard Participation Index (SPI), Case Study, Khorasan Province, Geographical Sciences Magazine, No. 2, pp. 122-145 (in Persian).
5. Badiyeh Neshin, A., Noori, H., Vazifehdoost, M. (2013) Re- Measuring of Leaf Area Index Estimation Equations for Maize and Sugar Beat Products by Using Modis Meter Satellite Data (Qazvin Irrigation Network), Iran soil and Water Researches Magazine, Vol.45, No.2, pp. 155-165 (in Persian).
6. Choudhury, B. J., Ahmed, N. U., Idso, S.B., Reginato, R. J., Daughtry, C. S. T. (1994), Relations Between Evaporation Coefficients and Vegetation Indices Studied by Model Simulations. Remote Sensing of Environment. Vol. 50, No. 2, pp. 1-17.
7. Fatehi Maraj, A., Bagherinia, M. (2010), Investigation Pasture Famine at West of Iran by Using MODIS Satellite Images During 2008 to 2011 years, Iran Aquiferous Engineering and Science Magazine, Vol.5, No.16, pp.1-22 (in Persian).
8. Hadian, F., Hossieni, S.Z., Seyyed Hossieni, M. (2013), Plant Covering Changes Stability by Using Participation Data and Satellite Images at Northwest of Iran, Iran Desert and Pasture Researches Season Magazine, Vol.21, No.4, pp.756-768 (in Persian).
9. Hapkiner, H. (2005), Introduction of Plant Physiology Growth Regulation, Tensions Physiology and bio Tehnilogy, Translated by Ali Ahmadi, Parviz Ehsanzadeh and Farhad Jabbari, Vol. 2, 3rd Edition, Tehran University Pub.
10. Hossieni Tavassol, M., Arzani, H., Frajzadeh Asl, M., Jafari, M., Bbaei Kafaki, S., Kohandel, A. (2014), Pasture Covering Changes Stability at Germination Season by Using Satellite Images and it’s Relation with Climate Factors (Case Study: Alborz Province), Iran Desert and Pasture Researches Season Magazine, Vol.22, No. 4, pp. 615-624 (in Persian).
11. Jagerbrand, A. K., Mohau, U., Alatalo, J. M., Chrimes, D. (2009), Plant Community Responses to 5 Years of Simulated Climate Change in Meadow and Heat Ecosystems at a Subretic- Alpine site. Oecologia, 161, pp. 601- 610.
12. Karimi, S., Javdani, R., Khosravi, M., Taghi, T. (2013), Growth Season Response Against Climate Famine and Rainy Conditions (Case Study Central Baloochestan Region) Geography and Development Magazine, No.37, pp.1-14 (in Persian).
13. Moghaddam, M. (2009), Pasture and It’s Maintaining, Tehran University Press, pp. 470, (in Persian).
14. Pakravan, M. (2012) Evaluation of Shirvan Darasi Aquiferous Zone at Meshkinshar City (Ardebil) in order to Flood Water Distribution by Using Distant Measuring Method and Geographical Information System, M.A. Thesis, Pasture and Aquiferous Group, Ardebil, Mohaghegh Ardebili University, Ardebil, (in Persian).
15. Richard, Y., Poccard, I. (1998), A Statistical Study of NDVI Sensitivity to Seasonal and Inter Annual Rainfall Variations in Southern Africa. International Journal of Remote Sensing, Vol. 19, No.15, pp. 2957-2920.
16. Singh, A. (1989), Digital Change Detection Techniques Using Remotely Sensed Data International Journal of Remote Sensing, Vol. 10, pp. 989-1003.
17. Sumida, A., Nakai, T., Yamada, M., One, K., Uemura, S., Hera, T. (2009), Ground- Bused Estimation of Leaf Area Index and Vertical Distribution of Leaf Area Density in a Betala Ermanii Forest, Silva Fennica Vol. 43, No. 5, pp. 799-816.
Send email to the article author