International Journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN: 2313-626X

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 Volume 8, Issue 7 (July 2021), Pages: 115-125

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 Original Research Paper

 Title: Identification of the most preferred topographic elevation characteristics for the wild olive trees in Al-Baha Region, Saudi Arabia

 Author(s): Abdullah Saleh Al-Ghamdi *

 Affiliation(s):

 Department of Biology, College of Sciences, Al-Baha University, Al-Baha, Saudi Arabia

  Full Text - PDF          XML

 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0000-0001-8760-762X

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2021.07.014

 Abstract:

The aim of this research was to identify the topographical elevation characteristics most preferred by wild olive trees in the Al-Baha region. This study successfully identified the elevation preferred by wild olives. The results show that the majority (81.6%) of wild olives are located at an elevation range of 1,750–2,500m. However, in the Al-Mandaq sub-region, many wild olive trees can also be found at a lower elevation of 1,250–1,500m, while wild olive presence at a higher elevation of 2000–2,500m can be found in the Al-Baha sub-region. It was observed that at a lower elevation of 1500–1750m, most wild olive crown sizes are small, indicating that the wild olive prefers a higher elevation to grow well. These findings can be regarded as theoretically indicating landforms suitable for olive plantation. As a basis for the suitability of olive plantation sites, these topographical characteristics factors are the essential prerequisites. However, it is obvious that site suitability is subject to the temporal dynamics of environmental variables. 

 © 2021 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords: Wild olive tree, Mapping, Extent, Distribution, Al-Baha region, Remote sensing, Crown size, Elevation, Neighboring species

 Article History: Received 11 January 2021, Received in revised form 28 March 2021, Accepted 20 April 2021

 Acknowledgment 

This research was funded by the Chair of Sheikh Said Ben Ali Alangari for olives research at Albaha University, Albaha, Saudi Arabia. The author also acknowledges with thanks the Dean of Scientific Research (DSP) at Albaha University for the technical support. The author’s thanks are due also to Geoprecision Tech Sdn Bhd (GPT) and Universiti Putra Malaysia (UPM) for their technical assistance.

 Compliance with ethical standards

 Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

 Citation:

  Al-Ghamdi AS (2021). Identification of the most preferred topographic elevation characteristics for the wild olive trees in Al-Baha Region, Saudi Arabia. International Journal of Advanced and Applied Sciences, 8(7): 115-125

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 Figures

 Fig. 1 Fig. 2 Fig. 3 Fig. 4 Fig. 5 Fig. 6 Fig. 7 Fig. 8 Fig. 9

 Tables

 Table 1 Table 2 Table 3 Table 4 Table 5 

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 References (33)

  1. Al-Ghamdi AS (2020a). Classifying and mapping of vegetated area in al-Baha region, Saudi Arabia using remote sensing: I. Extent and distribution of ground vegetated cover categories. Indian Journal of Applied Research, 10(12): 75-80. https://doi.org/10.36106/ijar/6416340   [Google Scholar]
  2. Al-Ghamdi AS (2020b). Wild olive tree mapping extent, distribution and basic attributes of wild olive trees in the Al-Baha Region, Saudi Arabia using remote sensing technology: I. Enumerate, extent, distribution and mapping. International Journal of Science and Research, 9(12): 605-614.   [Google Scholar]
  3. Al-Ghamdi AS (2020c). Wild olive tree mapping extent, distribution and basic attributes of wild olive trees in the Al-Baha Region, Saudi Arabia using remote sensing technology: II. Distribution and mapping of wild olive trees according to tree crown size. International Journal of Science and Research, 9(12): 1381-1390. https://doi.org/10.24203/ajas.v9i1.6485   [Google Scholar]
  4. Al-Ghamdi AS (2020d). Wild olive tree mapping extent, distribution and basic attributes of wild olive trees in the Al-Baha Region, Saudi Arabia using: III. Distribution and mapping of wild olive tree according to neighboring tree species. International Journal of Science and Research, 9(12): 1531-1540. https://doi.org/10.24203/ajas.v9i1.6485   [Google Scholar]
  5. Baxter PW and Possingham HP (2011). Optimizing search strategies for invasive pests: Learn before you leap. Journal of Applied Ecology, 48(1): 86-95. https://doi.org/10.1111/j.1365-2664.2010.01893.x   [Google Scholar]
  6. Besnard G and Bervillé A (2000). Multiple origins for Mediterranean olive (Olea europaea L. ssp. europaea) based upon mitochondrial DNA polymorphisms. Comptes Rendus de l'Académie des Sciences-Series III-Sciences de la Vie, 323(2): 173-181. https://doi.org/10.1016/S0764-4469(00)00118-9   [Google Scholar]
  7. Besnard G, Baradat P, and Bervillé A (2001). Genetic relationships in the olive (Olea europaea L.) reflect multilocal selection of cultivars. Theoretical and Applied Genetics, 102(2): 251-258. https://doi.org/10.1007/s001220051642   [Google Scholar]
  8. Breton C, Tersac M, and Bervillé A (2006). Genetic diversity and gene flow between the wild olive (oleaster, Olea europaea L.) and the olive: Several Plio‐Pleistocene refuge zones in the Mediterranean basin suggested by simple sequence repeats analysis. Journal of Biogeography, 33(11): 1916-1928. https://doi.org/10.1111/j.1365-2699.2006.01544.x   [Google Scholar]
  9. Chen IC, Hill JK, Ohlemüller R, Roy DB, and Thomas CD (2011). Rapid range shifts of species associated with high levels of climate warming. Science, 333(6045): 1024-1026. https://doi.org/10.1126/science.1206432   [Google Scholar] PMid:21852500
  10. Gardner RH, Turner MG, O’Neill RV, and Lavorel S (1991). Simulation of the scale-dependent effects of landscape boundaries on species persistence and dispersal. In: Holland MM, Risser PG, and Naiman RJ (Eds.), Ecotones: 76-89. Springer, Boston, USA. https://doi.org/10.1007/978-1-4615-9686-8_5   [Google Scholar] PMid:10114768
  11. Giljohann KM, Hauser CE, Williams NS, and Moore JL (2011). Optimizing invasive species control across space: Willow invasion management in the Australian Alps. Journal of Applied Ecology, 48(5): 1286-1294. https://doi.org/10.1111/j.1365-2664.2011.02016.x   [Google Scholar]
  12. Hamilton R, Megown K, Lachowski H, and Campbell R (2006). Mapping Russian olive: Using remote sensing to map an invasive tree. US Department of Agriculture Forest Service, Remote Sensing Application Center RSAC-0087-RPT1, Boise, USA.   [Google Scholar]
  13. Hoveizeh H (1997). Study of the vegetation cover and ecological characteristics in saline habitats of Hoor-e-Shadegan. Journal of Research and Construction, 34(1): 27-31.   [Google Scholar]
  14. Jetz W, McPherson JM, and Guralnick RP (2012). Integrating biodiversity distribution knowledge: Toward a global map of life. Trends in Ecology and Evolution, 27(3): 151-159. https://doi.org/10.1016/j.tree.2011.09.007   [Google Scholar] PMid:22019413
  15. Katz GL and Shafroth PB (2003). Biology, ecology and management of Elaeagnus angustifolia L. (Russian olive) in western North America. Wetlands, 23(4): 763-777. https://doi.org/10.1672/0277-5212(2003)023[0763:BEAMOE]2.0.CO;2   [Google Scholar]
  16. Khan SM, Harper DM, Page S, and Ahmad H (2011). Species and community diversity of vascular flora along environmental gradient in Naran Valley: A multivariate approach through indicator species analysis. Pakistan Journal of Botany, 43(5): 2337-2346.   [Google Scholar]
  17. Khan W, Khan SM, Ahmad H, Ahmad Z, and Page S (2016). Vegetation mapping and multivariate approach to indicator species of a forest ecosystem: A case study from the Thandiani sub Forests Division (TsFD) in the Western Himalayas. Ecological Indicators, 71: 336-351. https://doi.org/10.1016/j.ecolind.2016.06.059   [Google Scholar]
  18. Kitayama K (1992). An altitudinal transect study of the vegetation on Mount Kinabalu, Borneo. Vegetatio, 102(2): 149-171. https://doi.org/10.1007/BF00044731   [Google Scholar]
  19. Li Z, Zhu C, and Gold C (2004). Digital terrain modeling: Principles and methodology. CRC Press, Boca Raton, USA. https://doi.org/10.1201/9780203357132   [Google Scholar]
  20. Lieberman D, Lieberman M, Peralta R, and Hartshorn GS (1985). Mortality patterns and stand turnover rates in a wet tropical forest in Costa Rica. The Journal of Ecology, 73: 915-924. https://doi.org/10.2307/2260157   [Google Scholar]
  21. Lumaret R, Ouazzani N, Michaud H, Vivier G, Deguilloux MF, and Di Giusto F (2004). Allozyme variation of oleaster populations (wild olive tree) (Olea europaea L.) in the Mediterranean Basin. Heredity, 92(4): 343-351. https://doi.org/10.1038/sj.hdy.6800430   [Google Scholar] PMid:14985782
  22. Margules CR and Pressey RL (2000). Systematic conservation planning. Nature, 405(6783): 243-253. https://doi.org/10.1038/35012251   [Google Scholar] PMid:10821285
  23. Michener CD (2000). The bees of the world. Volume 1, JHU Press, Baltimore, USA.   [Google Scholar]
  24. Ordóñez LD, Schweitzer ME, Galinsky AD, and Bazerman MH (2009). Goals gone wild: The systematic side effects of overprescribing goal setting. Academy of Management Perspectives, 23(1): 6-16. https://doi.org/10.5465/amp.2009.37007999   [Google Scholar]
  25. Price JP (2004). Floristic biogeography of the Hawaiian Islands: Influences of area, environment and paleogeography. Journal of Biogeography, 31(3): 487-500. https://doi.org/10.1046/j.0305-0270.2003.00990.x   [Google Scholar]
  26. Rondinini C, Stuart S, and Boitani L (2005). Habitat suitability models and the shortfall in conservation planning for African vertebrates. Conservation Biology, 19(5): 1488-1497. https://doi.org/10.1111/j.1523-1739.2005.00204.x   [Google Scholar]
  27. Shaheen H, Ullah Z, Khan SM, and Harper DM (2012). Species composition and community structure of western Himalayan moist temperate forests in Kashmir. Forest Ecology and Management, 278: 138-145. https://doi.org/10.1016/j.foreco.2012.05.009   [Google Scholar]
  28. Sibbett GS and Ferguson L (2004). Olive production manual. 2nd Edition, Published by Agriculture and Natural Resources, Los Angeles, USA.   [Google Scholar]
  29. Stannard M, Ogle D, Holzworth L, Scianna J, and Sunleaf E (2002). History, biology, ecology, suppression and revegetation of Russian-olive sites (Elaeagnus angustifolia L.). USDA-National Resources Conservation Service, Boise, USA.   [Google Scholar]
  30. Sutherland WJ, Pullin AS, Dolman PM, and Knight TM (2004). The need for evidence-based conservation. Trends in Ecology and Evolution, 19(6): 305-308. https://doi.org/10.1016/j.tree.2004.03.018   [Google Scholar] PMid:16701275
  31. Thuiller W, Lavorel S, Araújo MB, Sykes MT, and Prentice IC (2005). Climate change threats to plant diversity in Europe. Proceedings of the National Academy of Sciences, 102(23): 8245-8250. https://doi.org/10.1073/pnas.0409902102   [Google Scholar] PMid:15919825 PMCid:PMC1140480
  32. Turner MG, Gardner RH, O'neill RV, and O'Neill RV (2001). Landscape ecology in theory and practice. Volume 401, Springer, New York, USA.   [Google Scholar]
  33. Zelený D, Li CF, and Chytrý M (2010). Pattern of local plant species richness along a gradient of landscape topographical heterogeneity: Result of spatial mass effect or environmental shift? Ecography, 33(3): 578-589. https://doi.org/10.1111/j.1600-0587.2009.05762.x   [Google Scholar]