Factors Influencing the Distribution of Chl-a along Coastal Waters of East Peninsular Malaysia

Shaari, Farrah Izzaty; Mustapha, Muzzneena Ahmad

doi:10.17576/jsm-2017-4608-04

Cited by 12 publications

(6 citation statements)

References 14 publications

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“…Average rainfall was observed to be above 200 mm. High precipitation contributed to increased productivity and nutrient due to high discharge from the rivers (Shaari & Mustapha 2017). High chl-a concentration and low SST (29.05-29.94°C and 0.32-0.42 mg/m 3 , respectively) scattered along the coast was observed to be associated with the favourable conditions for fish as feeding grounds as indicated by the habitat suitability map during northeast monsoon ( Figure 6(b)).…”

Section: Discussionmentioning

confidence: 92%

“…As a result, this monsoon also experienced less precipitation ( Figure 7(b)) which was recorded below 200 mm and less river discharge resulting in lower chl-a concentration. High SST and surface water salinity resulted from the lesser river discharge formed stratified water column (Shaari & Mustapha 2017). Lesser nutrient input resulted to the lower chl-a concentration.…”

Section: Discussionmentioning

confidence: 99%

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2019

JSM

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Understanding of the spatial distribution of fish habitats is crucial in order to achieve optimum fishing and to increase efficiency of marine resource management. In this study, seasonal potential suitability habitat model for Rastrelliger kanagurta off the east coast of Peninsular Malaysia was derived using maximum entropy (MaxEnt) by utilizing fishing locations and environmental parameters from remotely sensed sea surface temperature (SST) and chl-a concentration (chl-a) data. The influence of environmental parameters on the formation of the potential fishing zones was also determined. The results showed that all the seasonal models performed significantly better than random with AUC > 0.80, which indicated that the constructed models were applicable with 'good' to 'excellent' predictive accuracy. The model also showed that chl-a influenced R. kanagurta's potential fishing ground during northeast and intermediate monsoon of October. Meanwhile, SST contributed more in defining the potential fishing grounds during southwest and intermediate monsoon period of April. The seasonal and spatial extents of potential fishing grounds were largely explained by chl-a (0.32-0.42 mg/m 3 during northeast, 0.27-0.66 mg/m 3 in April, 0.21-0.30 mg/m 3 during southwest monsoon and 0.22-0.39 mg/m 3 in

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Section: Discussionmentioning

confidence: 92%

Section: Discussionmentioning

confidence: 99%

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2019

JSM

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“…Because of yearlong coastal upwelling activity, the Peruvian coast shows high biological activity. Productivity along the coastal waters of east Peninsular Malaysia showed maximum concentrations during the Northeast Monsoon Season [88]. Even though marine productivity connects to mudbanks and upwelling phenomena, it shows spatial and temporal variations.…”

Section: Primary Productivity Of Mudbanksmentioning

confidence: 99%

Characteristics of Mudbanks along the Southwest Coast of India

2021

EESRR

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Mudbank is a unique phenomenon observed along the south-west coast of India among all the Indian coastal regions during the Southwest Monsoon Season. The scientific reasons behind the formation and its persistence are vague. Mudbank is considered as a boon to the fishermen of Kerala, as they are getting reasonable catches during the occurrence of mudbanks using indigenous boats from the calm sea, which otherwise is in a fury during the rough Southwest Monsoon Season. Since the region, the Arabian Sea, is significant as a carbon sink due to its very high productivity because of different coastal ocean features, variations in the smaller and highly restricted coastal processes due to climate change can have a significant impact on the rates of global warming. Here, we consolidate the previous publications on various aspects of mudbanks with the reports of the occurrence of mudbanks on the south-west coast of India. A model for the prediction of the formation and location of mudbanks, inclusive of all the intrinsic and extrinsic parameters involved, through an extensive study is much relevant as far as the socio-economic and food security significance is concerned. Here, we discuss the most conducive factors for the formation of mudbank and its characteristics with special reference to Alappuzha, where the frequency of occurrence of mudbanks is maximum among the Indian coastal regions.

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“…The water is characterized by colder temperature, higher salinity and is rich in nutrient (Gambang et al 2003). According to Shaari and Mustapha (2017), chl-a concentration and distribution were related to availability of nutrients influenced by rainfall. These nutrients will fertilize the surface water which leads to high biological productivity.…”

Section: Oceanographic Parameters and Seasonal Variabilitymentioning

confidence: 99%

The Indian Mackerel Aggregation Areas in Relation to Their Oceanographic Conditions

K.¹,

M.A.²,

M.A.³

2019

JSM

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In order to determine the favourable oceanographic conditions which influence fish aggregation areas, the integration of remote sensing and GIS technique was applied. This paper aims to classify the spatial distribution and abundance of R. kanagurta in the South China Seas (SCS) using principal component analysis (PCA) and cluster analysis (CA). Remotely-sensed satellite oceanographic data of chlorophyll-a concentration (chl-a), sea surface temperature (SST) and sea surface height (SSH) together with high catch fish data were used to characterize seasonal abundance of the R. kanagurta. PCA identified two principal components that had eigenvalues >1 (PC1 and PC2) which accounted for 59.3% of the cumulative variance. Factor loading in the PCA proved that all environmental variables used in this study; chl-a (PC1), SSH and SST (PC2) had influenced the CPUE of R. kanagurta. Using CA, two clusters of CPUE abundance were identified. In cluster 1, an average CPUE of 350.7 kg/m³ with highest catch were recorded in January, April, May, July and October. Meanwhile, in cluster 2, an average CPUE of 1033.9 kg/m³ with highest catch were recorded in April, May, September and October. Preferred range for fish aggregations showed SST, SSH and chl-a were observed in between 29-31°C, 1.12-1.28 m and 0.24-0.42 mg/m 3 , respectively. Binary habitat suitability index was used to model the potential aggregation areas. The highest potential fish aggregations areas of R. kanagurta were found located along the coast of Peninsular Malaysia in early and late Southwest monsoon (at accuracy of 83.68% with kappa of 0.7). ABSTRAKIntegrasi antara data penderiaan jauh dan teknik GIS diaplikasi bagi menentukan keadaan oseanografi yang mempengaruhi kawasan pengumpulan ikan. Objektif dalam kajian ini adalah untuk mengelaskan taburan reruang dan kelimpahan R. kanagurta di Laut China Selatan menggunakan analisis komponen prinsipal (PCA) dan analisis kelompok (CA) serta mengenal pasti perhubungan antara taburan ikan dengan keadaan persekitaran. Hubungan antara data taburan klorofil-a (chl-a), suhu permukaan laut (SST) dan ketinggian permukaan laut (SSH) daripada satelit penderiaan jauh serta taburan tangkapan R. kanagurta digunakan untuk mengenal pasti hubungan taburan musiman ikan pelagik. PCA mengenal pasti dua komponen prinsipal yang mempunyai nilai eigen >1 (PC1 dan PC2) dengan nilai peratus kumulatif varians adalah 59.3%. Faktor penentuan dalam komponen prinsipal menunjukkan bahawa parameter persekitaran mempengaruhi data tangkapan ikan. CA menunjukkan dua kelompok tangkapan ikan dengan kelompok 1, nilai purata tangkapan ikan sebanyak 350.7 kg/m³ dengan catatan tangkapan ikan tertinggi pada bulan Januari, April, Mei, Julai, September dan Oktober. Manakala, di dalam kelompok 2, nilai purata tangkapan ikan sebanyak 1033.9 kg/m³ dengan catatan tangkapan ikan tertinggi pada bulan April, Mei, September dan Oktober. Julat kesesusaian cerapan pengumpulan ikan bagi SST, SSH dan chl-a didapati pada suhu 29-31°C, 1.12-1.28 m dan 0.24-0.42 mg/m³. Kawasan be...

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Factors Influencing the Distribution of Chl-a along Coastal Waters of East Peninsular Malaysia

Cited by 12 publications

References 14 publications

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Characteristics of Mudbanks along the Southwest Coast of India

The Indian Mackerel Aggregation Areas in Relation to Their Oceanographic Conditions

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