Geo-Eye

Department of Geography & GIS

Article

Geo-Eye

Year: 2022, Volume: 11, Issue: 1, Pages: 6-11

Original Article

The Impact of Precipitation Distribution on the Natural and Cultivated Vegetation Cover Changes in the Syrian Coastal Area for the Period 2000-2019

Received Date:16 January 2022, Accepted Date:18 May 2022

Abstract

The study aims to determine the vegetation covers (natural and cultivated) affected by precipitation amounts in the Syrian coastal area from 2000 to 2019, and for this, precipitation data for 23 climatic stations were used, in addition to the spectral vegetation indices EVI and LAI from the MODIS satellite. The results showed that vegetation covers are affected by the amount of precipitation, but there is a difference in vulnerability degree in the cultivated and natural cover (forests). The cultivated vegetation covers were more affected by the decrease or increase in the precipitation amount, as the area is coastal and depends heavily on rainwater. The cultivated cover has declined significantly in the years with low precipitation, especially the years 2008, 2010, 2014 2016, while it responded well to the high precipitation values in 2003, 2012, 2015 and 2019. While the forests showed a slight impact on the decrease in the amount of precipitation due to their nature of adaptation to the conditions of the region, where most of the years maintained stable and high values for both EVI and LAI indices, except for 2014 and 2016 which were the years with the sharp decline in the amount of precipitation. When the forests were affected by the decline in precipitation in addition to the fires resulting from the crisis conditions in Syria, which increased the severity of damage in forest cover. This indicates that the forests were affected in the first place as a result of fires and in the second place as a result of precipitation, while the cultivated cover was mainly affected by the lack of precipitation.

Keywords

Coastal area, EVI, Forests, LAI, Precipitation, Vegetation cover

References

  1. Hoerling M, Eischeid J, Perlwitz J, Quan X, Zhang T, Pegion P. On the Increased Frequency of Mediterranean Drought. Journal of Climate. 2012;25(6):2146–2161. Available from: https://doi.org/10.1175/JCLI-D-11-00296.1
  2. Pausas JG, Fernández-Muñoz S. Fire regime changes in the Western Mediterranean Basin: from fuel-limited to drought-driven fire regime. Climatic Change. 2012;110(1-2):215–226. Available from: https://doi.org/10.1007/s10584-011-0060-6
  3. Quezel P. Forests of the Mediterranean basin. In: Mediterranean Forests and Maquis: ecology, conservation and management, MAB technical notes. (pp. 9-32) UNESCO. 1977.
  4. Houérou HNl, HN. An Agro-Bioclimatic Classification of Arid and Semiarid Lands in the Isoclimatic Mediterranean Zones. Arid Land Research and Management. 2004;18(4):301–346. Available from: https://doi.org/10.1080/15324980490497302
  5. Huete AR, Liu HQ, Batchily K, Leeuwen Wv. A comparison of vegetation indices over a global set of TM images for EOS-MODIS. Remote Sensing of Environment. 1997;59(3):440–451. Available from: https://doi.org/10.1016/S0034-4257(96)00112-5
  6. Groenendijk M, Dolman AJ, Ammann C, Arneth A, Cescatti A, Dragoni D, et al. Seasonal variation of photosynthetic model parameters and leaf area index from global Fluxnet eddy covariance data. Journal of Geophysical Research. 2011;116(G4):1–18. Available from: https://doi.org/10.1029/2011JG001742
  7. Nielsen DC, Miceli‐garcia JJ, Lyon DJ. Canopy Cover and Leaf Area Index Relationships for Wheat, Triticale, and Corn. Agronomy Journal. 2012;104(6):1569–1573. Available from: https://doi.org/10.2134/agronj2012.0107n
  8. MODIS brochure: Handbook. (Vol. 1, pp. 39-43) 2004.
  9. Baret F, Guyot G. Potentials and limits of vegetation indices for LAI and APAR assessment. Remote Sensing of Environment. 1991;35(2-3):161–173. Available from: https://doi.org/10.1016/0034-4257(91)90009-U
  10. Tucker CJ. Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment. 1979;8(2):127–150. Available from: https://doi.org/10.1016/0034-4257(79)90013-0

Copyright

© 2022 Karmoka & Hanjagi. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Published By Bangalore University, Bengaluru, Karnataka 

DON'T MISS OUT!

Subscribe now for latest articles and news.