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AuthorAl-Naimi, Noora
AuthorAl-Ghouti, Mohammad
AuthorBalakrishnan, Perumal
Available date2017-05-07T05:55:38Z
Publication Date2016-04-05
Publication NameEnvironmental Monitoring and Assessmenten_US
Identifierhttp://dx.doi.org/10.1007/s10661-016-5269-4
CitationAl-Naimi, N., Al-Ghouti, M.A. & Balakrishnan, P. Environ Monit Assess (2016) 188: 268. doi:10.1007/s10661-016-5269-4
ISSN0167-6369
URIhttp://hdl.handle.net/10576/5480
AbstractMangroves 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.
Languageen
PublisherSpringer Verlag
SubjectMangrove
SubjectQatar
SubjectChlorophyll a
SubjectRemote sensing
SubjectNitrogen
SubjectAvicennia marina
TitleInvestigating chlorophyll and nitrogen levels of mangroves at Al-Khor, Qatar: an integrated chemical analysis and remote sensing approach. Environmental Monitoring and Assessment
TypeArticle
dc.identifier.essn 1573-2959


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