IJESD 2020 Vol.11(4): 180-185
doi: 10.18178/ijesd.2020.11.4.1248

Assessing the Impacts of Vegetation Cover Change in Mahazat Alsayd Natural Reserve Using Remote Sensing and Ground-Truth Data

Ali A. Al-Namazi , Khalid A. Almalki

  • the King Abdulaziz City for Science and Technology

Abstract

Saudi Arabia is located within an arid to semi-aridregion, however, it is a biological diverse area, because specieshave adapted to the adverse ecological circumstances. One ofthe most important habitats in Saudi Arabia is the MahazatAlsayd natural reserve. Understanding changes in vegetationcover over time is important for studying the habitats present inthe reserve, and for analyzing the availability of animal fodder,as well as the extent of vegetation regeneration. Using remotesensing data and field observations, we detected that thevegetation coverage of Mahazat Alsayd decreased by 80% from1995 to 2015. Multiple factors are currently affecting thestructure of the plant and animal communities within thereserve. Such factors include ecological changes and humanactivities. These factors might lead to the extinction of someplant and/or animal species in the near future, either directly orindirectly. Thus, a comprehensive management plan must beimplemented in the reserve as soon as possible to maintain andrecover vegetation to provide sufficient animal feed, facilitatingthe sustainable conservation of animals and plants within thereserve. The vegetation cover assessment presented hereprovides an important source of information for conservationplanning.

Keywords

  • Conservation
  • natural reserve
  • remote sensing
  • vegetation
1248-X0024

How to Cite

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Ali A. Al-Namazi and Khalid A. Almalki, "Assessing the Impacts of Vegetation Cover Change in Mahazat Alsayd Natural Reserve Using Remote Sensing and Ground-Truth Data," International Journal of Environmental Science and Development, vol. 11, no. 4, pp. 180-185, 2020. https://doi.org/10.18178/ijesd.2020.11.4.1248

Copyright & License

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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