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Investigating chlorophyll and nitrogen levels of mangroves at Al-Khor, Qatar: an integrated chemical analysis and remote sensing approach

  • Noora Al-NaimiEmail author
  • Mohammad A. Al-Ghouti
  • Perumal Balakrishnan
Article

Abstract

Mangroves are unique ecosystems that dominate tropical and subtropical coastlines around the world. They provide shelter and nursery to wide variety of species such as fish and birds. Around 73 species of mangroves were recognized around the world. In Qatar, there is only one mangrove species Avicennia marina that is predominant along the northeastern coast. Assessing the health of these valuable ecosystems is vital for protection, management, and conservation of those resources. In this study, an integrated approach of chemical and remote sensing analysis was implemented to investigate the current status of the mangrove trees in Al-Khor, Qatar. Fifteen different A. marina trees from different locations in the mangrove forest were examined for their chlorophyll and nitrogen content levels. Soil analysis was also conducted to understand the effect of moisture on nitrogen availability. Results shows that currently, mangroves are in a good status in terms of nitrogen availability and chlorophyll levels which are related and both are key factors for photosynthesis. Remote sensing techniques were used for chlorophyll prediction. The results showed that these methods have the potential to be used for chlorophyll prediction and estimation.

Keywords

Mangrove Qatar Chlorophyll a Remote sensing Nitrogen Avicennia marina 

Notes

Acknowledgments

We thank the members of the Environmental Studies Center (ESC) at Qatar University (QU), Mr. Ismail AL-Sheikh, Mr. Abdulrahman Al-Obaidly, Mrs. Hajer Al-Naimi, and the amazing team at the lab Mrs. Amil Ismail, Mr. Cesar Sorieno, and Mr. Rajen for their help during the chemical analysis.

References

  1. Abd-El Monsef, H., Aguib, A., & Smith, S. (2013). Locating suitable mangrove plantation sites along the Saudi Arabia Red Sea Coast. Journal of African Earth Sciences, 83, 1–9.CrossRefGoogle Scholar
  2. Bai, J.-H., Wang, Q., Hai-Feng, G., Rong, X., Wei, D., & Bao-Shan, C. (2010). Spatial and temporal distribution patterns of nitrogen in marsh soils from an inland alkaline wetland—a case study of Fulaowenpao wetland, China. Acta Ecologica Sinica, 30(4), 210–215.CrossRefGoogle Scholar
  3. Balakrishnan, P. (2012). Application of remote sensing for mangrove mapping: a case study of Al-Dhakira, the State of Qatar. Journal of Earth Science and Engineering, 2, 602–612.Google Scholar
  4. Butler, K. (2013, July 24). Band combinations for Landsat 8. Retrieved May 15, 2014, from ArcGIS Resources: http://blogs.esri.com/esri/arcgis/2013/07/24/band-combinations-for-landsat-8/
  5. El Sayed, H., & El Sayed, A. (2013). Exogenous application of ascorbic acid for improve germination, growth, water relations, organic and inorganic components in tomato (Lycopersicon esculentum Mill.) plant under salt-stress. New York Science Journal, 6(10), 123–139.Google Scholar
  6. Fernández-Falcón, M., Hernández, M., Alvarez, C., & Borges, A. (2006). Variation in nutrition along time and relative chlorophyll content of Leucospermum cordifolium cv. ‘High Gold’, and their relationship with chlorotic symptoms. Scientia Horticulturae, 107(4), 373–379.CrossRefGoogle Scholar
  7. Flindt, M., & Lillebo, A. (2005). Determination of total nitrogen and phosphorus in leaf litter. In M. Graca, F. Barlocher, & M. Gessner (Eds.), Methods to study litter decomposition: a practical guide (pp. 53–60). The Netherlands: Springer.CrossRefGoogle Scholar
  8. Flores-de-Santiago, F., Kovacs, J., & Flores-Verdugo, F. (2013). The influence of seasonality in estimating mangrove leaf chlorophyll-a content from hyperspectral data. Wetlands Ecology and Management, 21(3), 193–207.CrossRefGoogle Scholar
  9. Fritschi, F., & Ray, J. (2007). Soybean leaf nitrogen, chlorophyll content, and chlorophyll a/b ratio. Photosynthetica, 45(1), 92–98.CrossRefGoogle Scholar
  10. Ghasemi, M., Arzani, K., Yadollahi, A., Ghasemi, S., & Khorrami, S. (2011). Estimate of leaf chlorophyll and nitrogen content in Asian Pear (Pyrus serotina Rehd.) by CCM-200. Notulae Scientia Biologicae, 3(1), 91–94.Google Scholar
  11. Govender, M., Dye, P., Weiersbye, I., Witkowski, E., & Ahmed, F. (2009). Review of commonly used remote sensing and ground-based technologies to measure plant water stress. Water SA, 35, 741–752.CrossRefGoogle Scholar
  12. Kuenzer, C., Bluemel, A., Gebhardt, S., Quoc, T., & Dech, S. (2011). Remote sensing of mangrove ecosystems: a review. Remote Sensing, 3, 878–928.CrossRefGoogle Scholar
  13. Lee, T.-M., & Yeh, H.-C. (2009). Applying remote sensing techniques to monitor shifting wetland vegetation: a case study of Danshui River estuary mangrove communities, Taiwan. Ecological Engineering, 35(4), 487–496.CrossRefGoogle Scholar
  14. Li, C.-H., Zhou, H.-W., Wong, Y.-S., & Tam, N. (2009). Vertical distribution and anaerobic biodegradation of polycyclic aromatic hydrocarbons in mangrove sediments in Hong Kong, South China. Science of the Total Environment, 407(21), 5772–5779.CrossRefGoogle Scholar
  15. Mahasneh, A. M. (2002). Heterotrophic marine bacteria attached to leaves of Avicennia marina L. along the Qatari Coast (Arabia Gulf). OnLine Journal of Biological Sciences, 2(11), 740–743.CrossRefGoogle Scholar
  16. Muñoz-Huerta, R., Guevara-Gonzalez, R., Contreras-Medina, L., Torres-Pacheco, I., Prado-Olivarez, J., & Ocampo-Velazquez, R. (2013). A review of methods for sensing the nitrogen status in plants: advantages, disadvantages and recent advances. Sensors, 13, 10823–10843.CrossRefGoogle Scholar
  17. Reef, R., Feller, I., & Lovelock, C. (2010). Nutrition of mangroves. Tree Physiology, 30(9), 1148–1160.CrossRefGoogle Scholar
  18. Roberts, G., Penwell, A., Peurou, F., & Sharpe, A. (2010). The effect of soil moisture content on nitrogen transformation using OECD test guideline 216. Applied Soil Ecology, 46(3), 8–482.CrossRefGoogle Scholar
  19. Sadooni, F., & El-Kassas, I. (1999). Mangrove as a bioindicator for environmental pollution in the coastal marine environments. Qatar University Science Journal, 19, 137–151.Google Scholar
  20. Spalding, M., Kainuma, M., & Collins, L. (2010). World atlas of mangroves. London-Washington, DC: Earthscan.Google Scholar
  21. Wang, Z., Zhang, B., Zhang, S. Q., Li, X. Y., Liu, D. W., Song, K. S., et al. (2006). Changes of land use and of ecosystem service values in Sanjiang Plain, northeast China. Environmental Monitoring and Assessment, 112, 69–91.CrossRefGoogle Scholar
  22. Williams, G. (2012). Estimating chlorophyll content in a mangrove forest using neighbourhood based inversion approach. Netherlands: University of Twente.Google Scholar
  23. Wolf, M. (2012). Ecosystem of the mangroves. Wisconsin: University of Wisconsin-Stevens Point.Google Scholar
  24. Yang, J., Gao, J., Cheung, A., Liu, B., Schwendenmann, L., & Costello, M. (2013). Vegetation and sediment characteristics in an expanding mangrove forest in New Zealand. Estuarine, Coastal and Shelf Science, 134, 11–18.CrossRefGoogle Scholar
  25. Zhang, R., & Wienhold, B. (2002). The effect of soil moisture on mineral nitrogen, soil electrical conductivity, and pH. Nutrient Cycling in Agroecosystems, 63, 251–254.CrossRefGoogle Scholar
  26. Zhang, C., Kovacs, J., Wachowiak, M., & Flores-Verdugo, F. (2013). Relationship between hyperspectral measurements and mangrove leaf nitrogen concentrations. Remote Sensing, 5, 891–908.CrossRefGoogle Scholar
  27. Zhao, B., Kreuter, U., Li, B., Ma, Z., Chen, J., & Nakagoshi, N. (2004). An ecosystem service value assessment of land-use change on Chongming Island, China. Land Use Policy, 21(2), 139–148.CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Noora Al-Naimi
    • 1
    Email author
  • Mohammad A. Al-Ghouti
    • 2
  • Perumal Balakrishnan
    • 2
  1. 1.Environmental Studies CenterQatar UniversityDohaQatar
  2. 2.Department of Biological and Environmental SciencesQatar UniversityDohaQatar

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