Synergistic analysis of SeaWiFS chlorophyll concentration and NOAA-AVHRR SST features for exploring marine living resources

Solanki, H. U.; Dwivedi, R. M.; Nayak, Shailesh

doi:10.1080/01431160110069845

Cited by 46 publications

(24 citation statements)

References 3 publications

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“…A considerable body of literature has documented that marine resources are related to productivity hotspots (e.g. Olivar 1990, Solanki et al 2001, Valavanis et al 2004). Our study demonstrated that utilized habitats for Chinook and coho salmon were generally within or in the vicinity of high chlorophyll a concentration areas.…”

Section: Choice Of Habitatmentioning

confidence: 99%

Modeling the pelagic habitat of salmon off the Pacific Northwest (USA) coast using logistic regression

Bi¹,

Ruppel²,

Peterson³

2007

Mar. Ecol. Prog. Ser.

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Defining marine habitat use for Pacific salmon Oncorhynchus spp. is important for effective resource management because salmon production has been linked to ocean conditions in the Northeast Pacific. Towards that goal, Chinook O. tshawytscha and coho salmon O. kisutch populations were sampled off Washington and Oregon, USA, in June 1998 to 2005 along with habitat variables including temperature, salinity, water depth, and chlorophyll a concentration. Correlation analysis and stepwise logistic regressions were run to identify the physical and biological factors that predict the presence of Chinook and coho salmon. Low zero-catch probability was used to indicate used habitat. For all life history stages, zero-catch probability decreased with increased chlorophyll concentration and decreased depth. Temperature was a significant predictor variable for subyearling Chinook and yearling coho presence based on stepwise logistic regression. The size of used habitat showed large spatial and temporal variations, where more used habitat occurred off Washington and the Columbia River mouth than off Oregon. This pattern may relate to a wider shelf and greater primary production to the north. The largest amount of used habitat occurred in 2000 and 2003 for all 5 life history stages examined. Sea-viewing Wide Field-of-Sensor (SeaWiFS) satellite images indicated high chlorophyll concentration in that period.

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Section: Choice Of Habitatmentioning

confidence: 99%

Modeling the pelagic habitat of salmon off the Pacific Northwest (USA) coast using logistic regression

Bi¹,

Ruppel²,

Peterson³

2007

Mar. Ecol. Prog. Ser.

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“…Using chlorophyll, many rigorous studies show an inverse relationship between phytoplankton and sea surface temperature (SST). [5][6][7][8][9][10][11][12] Puzzlingly, in the Bay of Bengal region ( Figure 1 ), a positive relationship has been observed between phytoplankton and SST. 3,[13][14][15][16][17] This apparently contradictory relationship between Bay of Bengal SST and phytoplankton has led to the assertion that, in a warming climate scenario, increasing SST will lead to increasing phytoplankton and thus more cholera outbreaks globally.…”

Section: Introductionmentioning

confidence: 99%

Warming Oceans, Phytoplankton, and River Discharge: Implications for Cholera Outbreaks

Jutla

Akanda²,

Griffiths³

et al. 2011

The American Society of Tropical Medicine and Hygiene

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Abstract. Phytoplankton abundance is inversely related to sea surface temperature (SST). However, a positive relationship is observed between SST and phytoplankton abundance in coastal waters of Bay of Bengal. This has led to an assertion that in a warming climate, rise in SST may increase phytoplankton blooms and, therefore, cholera outbreaks. Here, we explain why a positive SST-phytoplankton relationship exists in the Bay of Bengal and the implications of such a relationship on cholera dynamics. We found clear evidence of two independent physical drivers for phytoplankton abundance. The first one is the widely accepted phytoplankton blooming produced by the upwelling of cold, nutrient-rich deep ocean waters. The second, which explains the Bay of Bengal findings, is coastal phytoplankton blooming during high river discharges with terrestrial nutrients. Causal mechanisms should be understood when associating SST with phytoplankton and subsequent cholera outbreaks in regions where freshwater discharge are a predominant mechanism for phytoplankton production.

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“…6, 7). The various types of shape of fronts are significant to fishery resources (Solanki et al, 2001a). For example, the meandering types of fronts occupy larger areas than linear fronts.…”

Section: Satellite Observation Of Frontsmentioning

confidence: 99%

“…Solanki et al (1998a, b, c) used AVHRR sea surface temperature (SST) data to delineate thermal feature to locate potential fishing grounds and to study seasonal variability in fishery resources based on the patterns of ocean features observed in thermal imagery in the Arabian Sea. Solanki et al (2001a) synergistically analyzed SeaWiFS and AVHRR data. They found that ocean color features coincided with thermal boundaries at some locations.…”

Section: Introductionmentioning

confidence: 99%

Satellite observations of main oceanographic processes to identify ecological associations in the Northern Arabian Sea for fishery resources exploration

et al. 2008

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Ecological associations are the inter-relationship between the species and their environment. Oceanographic processes like upwelling events and formation of eddies, rings, and fronts have been monitored using National Oceanic and Atmospheric Administration Advanced Very High Resolution (NOAA AVHRR) and Indian Remote Sensing Satellite-P4-Ocean Colour Monitor (IRS-OCM) data. Sea Surface Temperature (SST) and chlorophyll concentration (CC) images were derived from AV-HRR and OCM, respectively. Upwelling event was monitored using AVHRR-SST by detecting the differences in surface water temperature. The formation of eddies, rings, cyclonic eddies, and anticyclonic eddies and their biological responses were studied using CC. Eddies and rings were found with high phytoplankton production in the form of bloom, which provide grazing ground for fishes. The anticyclonic eddies were found with very low CC, indicating the biological deserts in the ocean. The impacts of these processes on fish catch were studied using fishing operations data procured from Fishery Survey of India. In this paper, the occurrence of different oceanographic processes, their persistence, and relevance with catch statistics of fishery resources in the study area are discussed. The study explains the potentials of satellite remote sensing to establish the habitat linkage between oceanographic processes and fishery resources.

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Synergistic analysis of SeaWiFS chlorophyll concentration and NOAA-AVHRR SST features for exploring marine living resources

Cited by 46 publications

References 3 publications

Modeling the pelagic habitat of salmon off the Pacific Northwest (USA) coast using logistic regression

Modeling the pelagic habitat of salmon off the Pacific Northwest (USA) coast using logistic regression

Warming Oceans, Phytoplankton, and River Discharge: Implications for Cholera Outbreaks

Satellite observations of main oceanographic processes to identify ecological associations in the Northern Arabian Sea for fishery resources exploration

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