Literature DB >> 26690080

MODIS-Aqua detects Noctiluca scintillans and hotspots in the central Arabian Sea.

R Dwivedi1, P Priyaja2, M Rafeeq2, M Sudhakar2.   

Abstract

Northern Arabian Sea is considered as an ecologically sensitive area as it experiences a massive upwelling and long-lasting algal bloom, Noctiluca scintillans (green tide) during summer and spring-winter, respectively. Diatom bloom is also found to be co-located with N. scintillans and both have an impact on ecology of the basin. In-house technique of detecting species of these blooms from Moderate Resolution Imaging Spectroradiometer (MODIS)-Aqua data was used to generate a time-series of images revealing their spatial distribution. A study of spatial-temporal variability of these blooms using satellite data expressed a cyclic pattern of their spread over a period of 13 years. An average distribution of the blooms for January-March period revealed a peak in 2015 and minimum in 2013. Subsequently, a time-series of phytoplankton species images were generated for these 2 years to study their inter-annual variability and the associated factors. Species images during active phase of the bloom (February) in 2015 indicated development of N. scintillans and diatom in the central Arabian Sea also, up to 12° N. This observation was substantiated with relevant oceanic parameters measured from the ship as well as satellite data and the same is highlight of the paper. While oxygen depletion and release of ammonia associated with N. scintillans are detrimental for waters on the western side; it is relatively less extreme and supports the entire food chain on the eastern side. In view of these contrasting eco-sensitive events, it is a matter of concern to identify biologically active persistent areas, hot spots, in order to study their ecology in detail. An ecological index, persistence of the bloom, was derived from the time-series of species images and it is another highlight of our study.

Entities:  

Keywords:  Algal bloom; Arabian Sea; Hot spots; Noctiluca scintillans; Remote sensing

Mesh:

Year:  2015        PMID: 26690080     DOI: 10.1007/s10661-015-5041-1

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  1 in total

1.  Species identification of mixed algal bloom in the Northern Arabian Sea using remote sensing techniques.

Authors:  R Dwivedi; M Rafeeq; B R Smitha; K B Padmakumar; Lathika Cicily Thomas; V N Sanjeevan; Prince Prakash; Mini Raman
Journal:  Environ Monit Assess       Date:  2015-02-01       Impact factor: 2.513

  1 in total
  1 in total

1.  An optical remote sensing approach for ecological monitoring of red and green Noctiluca scintillans.

Authors:  S K Baliarsingh; R M Dwivedi; Aneesh A Lotliker; K C Sahu; T Srinivasa Kumar; S S C Shenoi
Journal:  Environ Monit Assess       Date:  2017-06-10       Impact factor: 2.513

  1 in total

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