[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
:: Volume 9, Issue 18 (10-2021) ::
PEC 2021, 9(18): 247-265 Back to browse issues page
The Effect of Weather Changes on Forests of Sefidkuh Protected Area Using Landsat Satellite Images in Iran
Gholamhosein Moradi *, Maryam Zeilabi2, Mohammad Hossein Mokhtari2, Ahad Sotodeh2
Yazd University, School of Natural Resources & Desert studies, Yazd University, Iran , ghmoradie@gmail.com
2- School of Natural Resources & Desert studies, Yazd University, Iran
Abstract:   (485 Views)
The weather fluctuations are important influential factors on vegetation cover. Therefore, this study was conducted to identify elements of climate changes including temperature and precipitation, and its effect on vegetation changes in Sefidkuh protected area located in Lorestan province using Landsat satellite images. So, at first the climate was determined and zoned based on de Martonne climatic index using temperature and rainfall data of 9 synoptic stations in the Lorestan province for a term of 17 years from 2000 to 2017. Then, vegetation index was computed and zoned using ETM+ images of Landsat 7 satellite in 2004 and OLI images of Landsat 8 in 2017 and finally, the relationship between climate change and vegetation was investigated. According to the results of this study and based on the de Martonne climatic index, the highest level of the area (7737.8 ha) was related to semiarid class with good cover in 2004. On the other hand, the lowest level was related to very humid class with weak cover (0.7 ha) and very humid class with excellent cover (4.5 hectare). But, these classifications have been changed, and the lowest level is related to the excellent cover (4,4169 hectares). In fact, the area of vegetation with good and excellent cover has decreased from 2017 to 2004 (from approximately 37000 to 14000 ha), and the climate of study area has changed to semi-dry.
Keywords: Climate, Western forests of Iran, de Martonne, Vegetation Index, Landsat
Full-Text [PDF 973 kb]   (257 Downloads)    
Type of Study: Research | Subject: Special
Received: 2020/08/16 | Accepted: 2020/12/20 | Published: 2021/09/28
1. Bi, X., Wang, H., Ge, J. 2005. Wave-type time series variation of the correlation between NDVI and climatic factors. Chinese Journal of Applied Ecology, 16(2): 284–288.
2. Bochenek, Z., Ziolkowski, D., Bartold, M., Orlowska, K., Ochtyra, A. 2018. Monitoring forest biodiversity and the impact of climate on forest environment using high-resolution satellite images, European Journal of Remote Sensing, 51(1), 166-181.
3. Chamaillé‐Jammes, S., Fritz, H. 2009. Precipitation–NDVI relationships in eastern and southern African savannas vary along a precipitation gradient. International Journal of Remote Sensing, 30(13): 3409–3422.
4. Chuai, X.W., Huang, X.J., Wang, W.J., Bao, G. 2013. NDVI, temperature and precipitation changes and their relationships with different vegetation types during 1998–2007 in Inner Mongolia, China. International Journal of Climatology, 33(7): 1696–1706.
5. Ding, M., Zhang, Y., Liu, L., Zhang, W., Wang, Z., Bai, W. 2007. The relationship between NDVI and precipitation on the Tibetan Plateau. Journal of Geographical Sciences, 17(3): 259–268.
6. Duo, A., Zhao, W., Qu, X., Jing, R., Xiong, K. 2016. Spatio-temporal variation of vegetation coverage and its response to climate change in North China plain in the last 33 years. International Journal of Applied Earth Observation and Geoinformation, 53: 103–117.
7. Gurgel, H.C., Ferreira, N.J. 2003. Annual and interannual variability of NDVI in Brazil and its connections with climate. International Journal of Remote Sensing, 24(18): 3595–3609.
8. He, W., Bu, R.C., Xiong, Z.P., Hu, Y.M. 2013. Characteristics of temperature and precipitation in Northeastern China from 1961 to 2005. Acta Ecologica Sinica, 33(2): 519–531.
9. Jing, X., Yao, W.Q., Wang, J.H., Song, X.Y., 2011. A study on the relationship between dynamic change of vegetation coverage and precipitation in Beijing’s mountainous areas during the last 20 years. Mathematical and Computer Modelling, 54(30): 1079–1085.
10. Kawabata, A., Ichii, K., Yamaguchi, Y. 2001. Global monitoring of interannual changes in vegetation activities using NDVI and its relationships to temperature and precipitation. International Journal of Remote Sensing, 22(7): 1377–1382.
11. Mildrexler, D., Yang, Z., Cohen, W.B., Bell, D.M. 2016. A forest vulnerability index based on drought and high temperatures. Remote Sensing of Environment, 173: 314–325.
12. Moradi, Gh., Marvie Mohadjer, M.R., Zahedi Amiri, Gh., Shirvany, A., Zargham, N., 2010. Life form and geographical distribution of plants in Posthband region, Khonj, Fars Province, Iran. Journal of Forestry Research, 21(2): 201–206.
13. Propastin, P., Kappas, M., Erasmi, S., Muratova, N.R. 2007. Remote sensing based study on intra-annual dynamics of vegetation and climate in drylands of Kazakhastan. Basic and Applied Dryland Research, 1(2): 138–154.
14. Shimizu, K., Ota, T., Mizoue N., 2019. Detecting Forest Changes Using Dense Landsat 8 andSentinel-1 Time Series Data in Tropical Seasonal Forests. Remote Sensing, 11(1899): 1-22.
15. Sun, R., Liu, C., Zhu, Q. 2001. Relationship between the fractional vegetation cover change and rainfall in the yellow river Basin. Acta Geographica Sinica, 56(6): 667-672.
16. Wang, X., Gao, Q., Wang, C., Yu, M. 2017. Spatiotemporal patterns of vegetation phenology change and relationships with climate in the two transects of East China. Global Ecology and Conservation, 10: 206–219.
17. Wan Mohd Jaafar, W.S., Abdul Maulud, K.N., Muhmad Kamarulzaman, A.M., Raihan, A., Md Sah, S., Ahmad, A., Saad, S.N.M., Mohd Azmi, A.T., Jusoh Syukri, N.K.A., Razzaq Khan, W., 2020. The Influence of Deforestation on Land Surface Temperature—A Case Study of Perak and Kedah, Malaysia. Forests, 11(670): 1-26.
18. Wang, Z., Schaaf, C.B., Chopping, M.J., Strahler, A.H., Wang, J., Román, M.O., Rocha, A.V., Woodcock, C.E., Shuai, Y. 2012. Evaluation of Moderate-resolution Imaging Spectroradiometer (MODIS) snow albedo product (MCD43A) over tundra. Remote Sensing of Environment, 117: 264–280.
Send email to the article author

Add your comments about this article
Your username or Email:


XML   Persian Abstract   Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Moradi G, Zeilabi M, Mokhtari M H, Sotodeh A. The Effect of Weather Changes on Forests of Sefidkuh Protected Area Using Landsat Satellite Images in Iran. PEC. 2021; 9 (18) :247-265
URL: http://pec.gonbad.ac.ir/article-1-718-en.html

Rights and permissions
Creative Commons License 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
مجله حفاظت زیست بوم گیاهان Journal of Plant Ecosystem Conservation
Persian site map - English site map - Created in 0.04 seconds with 30 queries by YEKTAWEB 4343