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Discussion papers | Copyright
https://doi.org/10.5194/gi-2018-30
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 03 Jul 2018

Research article | 03 Jul 2018

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This discussion paper is a preprint. It is a manuscript under review for the journal Geoscientific Instrumentation, Methods and Data Systems (GI).

Consideration of NDVI Thematic Changes on Density Analysis and Floristic Composition of Wadi Yalamlam, Saudi Arabia

Amal Y. Aldhebiani1, Mohamed Elhag2, Ahmad K. Hegazy3, Hanaa K. Galal1,4, and Norah S. Mufareh1 Amal Y. Aldhebiani et al.
  • 1Biological Sciences Department, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia
  • 2Department of Hydrology and Water Resources Mana gement, Faculty of Meteorology, Environment & Arid Land Agriculture, King Abdulaziz University Jeddah, 21589, Saudi Arabia
  • 3Department of Botany, Faculty of Science, Cairo University, Giza, Egypt
  • 4Botany Department, Faculty of Science, Assiut University, Assiut, Egypt

Abstract. Wadi Yalamlam is known as one of the significant Wadies in the west of Saudi Arabia. It is a very important water source for the western region of the country. Thus, it supplies the holy places in Mecca and the surrounding areas with drinking water. Floristic composition of Wadi Yalamlam has not been comprehensively studied. For that reason, this work aimed to assess the Wadi vegetation cover, life-form, chorotype, diversity, and community structure. The Wadi was divided into seven stands. Stands 7, 1 and 3 were the richest with the highest Shannon index 2.98, 2.69 and 2.64 respectively. On the other hand, stand 6 has the least plant biodiversity with Shannon index of 1.8. The study also revealed the presence of 48 different plant species belonging to 24 families. Fabaceae (17%) and Poaceae (13%) were the main families that form most of the vegetation in the study area, while many families were represented only by 2% of the vegetation of the Wadi.

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The current article focus on the plant diversity assessment in arid environments. Species Richness and Species Evenness equations were used to meet the artic objectives. The use of remote sensing techniques in term of Normalized Different Vegetation Index (NDVI) temporal changes. Two datasets were used to realize the NDVI and Post Chance Detection (PCC) techniques were used to evaluate the plant diversity status over a period of 4 years. Results showed a recognizable loss in plant biodiversity.
The current article focus on the plant diversity assessment in arid environments. Species...
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