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Investigation on Zagros forests cover changes under the recent droughts using satellite imagery

Author

Listed:
  • Marjan Goodarzi

    (Department of Remote Sensing and GIS, Faculty of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran)

  • Mehdi Pourhashemi

    (Research Institute of Forests and Rangelands, Agricultural Research, Education and Extension Organization (AREEO), Tehran, Iran)

  • Zahra Azizi

    (Department of Remote Sensing and GIS, Faculty of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran)

Abstract

Oak decline phenomenon has recently led to considerable dieback within Zagros forests, western Iran. In the present study, Landsat imagery (2005 to 2016) and synoptic station data were used to study the forest dieback in Dorood, Lorestan province. Sixteen vegetation indices were calculated and values in each year were obtained. The correlations between the index and climatic parameters of rainfall, temperature and relative humidity were investigated. Results showed that the correlation of some indices with rainfall and the correlation of other indices with temperature were more than 70%. Optimized soil adjusted vegetation index had 80% correlation with annual rainfall and the modification of normalized difference water index was correlated with average annual temperature by 75%. Using the numerical value changes of the indices, a map of forest cover change was prepared in four classes; healthy, weak, moderate and severe dieback and the process of its change were compared with the trend of variations in regard with rainfall values in the study period. There was a close relationship between changes in the area of forest cover dieback and rainfall and temperature values.

Suggested Citation

  • Marjan Goodarzi & Mehdi Pourhashemi & Zahra Azizi, 2019. "Investigation on Zagros forests cover changes under the recent droughts using satellite imagery," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 65(1), pages 9-17.
    • Handle: RePEc:caa:jnljfs:v:65:y:2019:i:1:id:61-2018-jfs
    DOI: 10.17221/61/2018-JFS
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    References listed on IDEAS

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    1. Thiele, Jan C. & Nuske, Robert S. & Ahrends, Bernd & Panferov, Oleg & Albert, Matthias & Staupendahl, Kai & Junghans, Udo & Jansen, Martin & Saborowski, Joachim, 2017. "Climate change impact assessment—A simulation experiment with Norway spruce for a forest district in Central Europe," Ecological Modelling, Elsevier, vol. 346(C), pages 30-47.
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    Cited by:

    1. Cho, Nanghyun & Agossou, Casimir & Kim, Eunsook & Lim, Jong-Hwan & Seo, Jeong-Wook & Kang, Sinkyu, 2023. "Machine-learning modeling on tree mortality and growth reduction of temperate forests with climatic and ecophysiological parameters," Ecological Modelling, Elsevier, vol. 483(C).

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