Validation of integrated potential fishing zone (IPFZ) forecast using satellite based chlorophyll and sea surface temperature along the east coast of India

Choudhury, S. B.; Jena, Babula; Rao, Mala; Rao, K. H.; Somvanshi, Vishal Singh; Gulati, D.K.; Sahu, Sobhan Kumar

doi:10.1080/01431160600987878

Cited by 43 publications

(17 citation statements)

References 17 publications

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“…The CPUE values in PFZ and non-PFZ zone are represented in Figure 3. Similar results have also been estimated by different authors, like Choudhury et al (2007); Deshpande et al (2011);Nammalwar et al (2013) and Bhaware et al (2013). Deshpande et al (2011) validated the PFZ advisory using direct and indirect methods.…”

Section: Pfz Validationsupporting

confidence: 80%

“…Deshpande et al (2011) validated the PFZ advisory using direct and indirect methods. Choudhury et al (2007) estimated about two to three fold increase in fish catch in the integrated PFZ areas during validation experiment. Hilsa Shad (Tenualosa ilisha Hamilton 1822), Silver Pomfret (Pampus argenteus Euphrasen 1788), Cat fish (Arius sp.)…”

Section: Pfz Validationmentioning

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%

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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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Section: Pfz Validationsupporting

confidence: 80%

Section: Pfz Validationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Dutta¹,

Chanda²,

Akhand³

et al. 2016

Turk. J. Fish. Aquat. Sci.

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“…There was a positive correlation between SST and chl-a (Figure 3b), with coefficient of correlation at R=0.3, which means increase in SST resulting in the increase of chl-a concentration. This is in contrast with the finding from Barnard et al (1997), Choudhury et al (2007), Georgakarakos and Kitsiou (2008), , Solanki et al (2001), Thomas et al (2003) and Yoder et al (2002) which found inverse correlation between SST and chl-a. This inverse correlation was reported in areas with occurrence of upwelling.…”

Section: Results and Discussion Variability And Relationship Between contrasting

confidence: 55%

Determination of Potential Fishing Grounds of Rastrelliger kanagurta Using Satellite Remote Sensing and GIS Technique

Nurdin

Mustapha²,

Lihan³

et al. 2015

JSM

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“…An increased fish catch is observed in the periphery of integrated features and comparatively low catches were found away from the features/areas of IPFZ. All fish catch were reported between 50 and 100 m depths (Choudhury et al 2007). Our validation experiments conducted simultaneously using trawler and purse seine showed high to very high catch in predicted areas however our catches are with in 50 m depth major fishing area of our study region.…”

Section: Discussionmentioning

confidence: 99%

Direct and Indirect Validation of Potential Fishing Zone Advisory off the Coast of Uttara Kannada, Karnataka

Deshpande

Radhakrishnan

Bhat

2011

J Indian Soc Remote Sens

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The technique of predicting Potential Fishing Zone using satellite derived sea surface temperature and chlorophyll is becoming an important aspect for the fishermen. In the present study an attempt has been made to compare fish density/catch per unit effort in the areas predicted by Satellite imagery and available to fishermen via electronic display boards at the fish landing centers of Uttara Kannada district, Karnataka with those of non predicted areas. Direct and Indirect validation was done. Direct method means comparing the catch using fishing vessels simultaneously in the notified region with that of catch from non notified region. And in indirect method by comparing catch data from landing centers on notified days with that of non notified days. Direct validation off Karwar showed that catch was significantly higher in notified (PFZ) area with high densities as compared to non notified (non PFZ) regions. When comparisons of landing center data of Karwar, Tadadi and Bhatkal are done it is evident that in all the centers during the period under study, higher catches were observed on notified days than non notified days except in Bhatkal centre in 2009-10.There by validating the accuracy of PFZ predictions and economic gains to fishermen.

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Validation of integrated potential fishing zone (IPFZ) forecast using satellite based chlorophyll and sea surface temperature along the east coast of India

Cited by 43 publications

References 17 publications

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Determination of Potential Fishing Grounds of Rastrelliger kanagurta Using Satellite Remote Sensing and GIS Technique

Direct and Indirect Validation of Potential Fishing Zone Advisory off the Coast of Uttara Kannada, Karnataka

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