Potential fishing zones (PFZ) forecast using satellite data derived biological and physical processes

Solanki, H. U.; Dwivedi, R. M.; Nayak, Shailesh; Gulati, D.K.; John, M. E.; Somvanshi, Vishal Singh

doi:10.1007/bf03030773

Cited by 24 publications

(9 citation statements)

References 4 publications

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“…Satellite-derived SST images are being used for commercial fi shing operations for almost three decades (Breaker 1987 ). More recently Ocean Color Monitoring (OCM)-derived chlorophyll and National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR)derived SST images have been used for fi shery resources exploitation in the Arabian Sea (Solanki et al 2003 ). However, one of the major problems in using SST and chlorophyll images from two different sensors posed a limitation in interpretation of the biophysical response of the oceanic surfaces.…”

Section: Resultsmentioning

confidence: 99%

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Geospatial Technologies and Climate Change

2014

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The "Geotechnologies and the Environment" series is intended to provide specialists in the geotechnologies and academics who utilize these technologies, with an opportunity to share novel approaches, present interesting (sometimes counterintuitive) case studies, and most importantly to situate GIS, remote sensing, GPS, the internet, new technologies, and methodological advances in a real world context. In doing so, the books in the series will be inherently applied and re fl ect the rich variety of research performed by geographers and allied professionals.Beyond the applied nature of many of the papers and individual contributions, the series interrogates the dynamic relationship between nature and society. For this reason, many contributors focus on human-environment interactions. The series are not limited to an interpretation of the environment as nature per se. Rather, the series "places" people and social forces in context and thus explore the many sociospatial environments humans construct for themselves as they settle the landscape. Consequently, contributions will use geotechnologies to examine both urban and rural landscapes.

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Section: Resultsmentioning

confidence: 99%

“…These are identifi ed from SST generated using NOAA-AVHRR Satellite data (Solanki et al 2003 ). Exploration of fi shery resources through integration of ocean color with SST showed that these features are known to be sites of productive waters and hence conducive to fi sh aggregation (Dwivedi et al 2005 ).…”

Section: Resultsmentioning

confidence: 99%

Geospatial Technologies and Climate Change

2014

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“…(Table.5). The validation of PFZ advisories have inferred significant increase in fish catch along northwest coast of Gujarat 10,25,34,35 and all over the country 6 . The annual exploitable fisheries of Andaman and Nicobar Islands are estimated to be 1.48 lakh t of which a meagre 22% is harvested currently.…”

Section: Validation For Pfz Advisoriesmentioning

confidence: 99%

Analysis of ring operation from south Andaman Fish Landing Centres (FLC)

Kaliyamoorthy¹,

Roy²,

Sahu³

2020

Flora and Fauna

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A study was carried out during 2014-2018 to find out the major fish catches through the Gear Ring net at the coast of Andaman Islands. The data were collected from four major Fish Landing Centres (FLC) viz Junglighat, Dugnabad, Guptapara and Wandoor which are located at South Andaman. Altogether 1097 FLC visits have been carried out during the study period at all four FLC with an average of 219 visits / year. Altogether 1379 operations of Ring net were observed from two FLC i.e. Junglighat (1322) and Dugnabad (57) amongst four FLC. The total fishes captured were 1609 tons from the two FLCs, i.e. 1594 tons from Junglighat FLC and 15 tons from Dugnabad FLC respectively. The contribution of gear the Ring net was 41.5 % amongst the other gears operated from all four FLCs. The major fish catch by ring net were Scombrids (52.3%), followed by Sardines (22.4%), Carangids (21.3%), Anchovies (2.7%) and others (1.2%). 39 ring net fishing ground identified during the period around the coast of Andaman Islands. The maximum fish catch occurred at around the coast of Havelock Island (15.5%) followed by Rutland (10.5%), Chidiatappu (8 %), Shoal Bay (7.6%), Baratang (7 %), Carbyns cove (6 %), Burmanallah (5.2%), Madhuban (5.2%), Out-drum Island (4.7%), Mayabunder (4 %), Colinpur (3.3%), Long Island (3.3%), Wandoor (2.1%) etc and minimum fish catch was observed at the coast of Pachim Sagar (0.02%) . PFZ forecast disseminated to the Ring netters and validated during the study period. Forty nine operations of gear the ring net were observed at PFZ with an average of 9.8 operations /year. The fishes captured from the PFZ were 91.1 tons with an average of 18.2± 5.6 tons / year. Similarly 49 operations of ring net were also observed at Non-PFZ with an average of 9.8 operations /year. The fishes captured from the Non PFZ were 23.77 tons with an average of 4.5±1.5 tons / year. The Length-weight measurements of the pelagic fishes viz Atule mate, Decapterus russelli, Sardinella albella, Sardinella sirm, Herklotsichthys quadrimaculatus and Rastrelliger kanagurta caught from both the zones have been done. 12 Class Intervals with respect to length were observed from the catch of all the fishes i.e. 81-100 mm, 101-120, 141-160 mm,........301- 320 mm. In the Class Intervals, the length category 121-140 mm was the most representating class for Atule mate with 128 specimens (19.1%) at PFZ and 159 specimens (23.7%) at Non-PFZ respectively. It has been observed for other fishes i.e. for Decapterus russelli, Sardinella albella, Sardinella sirm, Herklotsichthys quadrimaculatus and Rastrelliger kanagurta which collected from the PFZ were class 161-180 mm with 172 specimens (48.6%), 141-160 mm with 195 specimens (53.1%), 221- 240 mm with 177 specimens (48.2%), 121-140 mm with 189 specimens (47.7%) and 261-280 with 199 specimens (30.9%) respectively. The same species were collected at the Non-PFZ were 141-160 with 173 specimen (49.0%), 121-140 with 194 specimens (53.3%), 221-240 with 159 (45.4%), 101-120 with 173 (49.4%) and 201-220 with 144 specimens (23%) respectively. The water samples have been collected during day time from various sites of PFZ and Non-PFZ during the study period and analysed. The average visibility at PFZ and Non-PFZ were 15.49±0.28 m and 16.74 ± 0.25 respectively. The average dissolved oxygen (DO) at PFZ and Non-PFZ were 6.30±0.05 mg/lit and 5.94 ±0.06 mg/lit respectively. Due to density of phytoplankton and Eddies the dissolved oxygen increased at PFZ than Non-PFZ. Alkalinity was at PFZ 111.16±1.09 ml/lit and Non PFZ 113.68 ± 1.28 ml/lit respectively.

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“…Apart from the physical processes which are extracted from SST, chlorophyll-a or phytoplankton biomass, spots of weak SST gradients also act as indicators for locations of fish schools in tropical oceans (Ali et al, 2010). Natural variations in fish stocks are caused by complex interactions of oceanic, physical, chemical and biological processes (Solanki et al, 2003). Such species channel energy and nutrients from planktonic primary and secondary producers to top predators thus play an important role in regulating ecosystem dynamics (Frederiksen et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

“…There are several authors' work on PFZ validation through direct or indirect methods, viz. Solanki et al (2003); Choudhury et al (2007);Srinivasa et al (2008); Pillai and Nair (2010); Solanki et al (2010);Chandran et al (2004); Deshpande et al (2011);Nammalwar et al (2013); Bhaware et al (2013). However, studies related to validation of the PFZ advisory from the biophysical point of view are rarely reported.…”

Section: Introductionmentioning

confidence: 99%

Untitled

Dutta¹,

Chanda²,

Akhand³

et al. 2016

Turk. J. Fish. Aquat. Sci.

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The paper discusses the correlation between the Catch per Unit Effort (CPUE) of fishes with the phytoplankton biomass (chlorophyll-a) and nutrients in the West Bengal marine fishing zone (northern Bay of Bengal) during the post-monsoon season of 2010-11 and 2011-12. A total of 12 Potential Fishing Zone forecasts were simultaneously validated on board, covering 70 random samplings points wherein the physico-chemical parameters were also measured. A strong positive correlation of the CPUE with phytoplankton biomass was observed. The CPUE also positively correlated with the essential nutrients like dissolved inorganic phosphate (DIP), dissolved inorganic nitrate (DIN) and silicate. Four components were figured out in the principal component analysis out of 11 environmental variables. The first component primarily consisted of salinity, Secchi depth (positive loadings), turbidity and dissolve oxygen (DO) (negative loadings). Increases in component 2 were associated with increases in nutrients (silicate, nitrate and phosphate). The CPUE was much higher (8.15±6.08 kg/hour) in the PFZ forecast zones compared to the areas outside the forecast area (3.51±1.61 kg/hour).

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Potential fishing zones (PFZ) forecast using satellite data derived biological and physical processes

Cited by 24 publications

References 4 publications

Geospatial Technologies and Climate Change

Geospatial Technologies and Climate Change

Analysis of ring operation from south Andaman Fish Landing Centres (FLC)

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