Identification and Mapping of Essential Fish Habitats Using Remote Sensing and GIS on Lake Victoria, Kenya

Boitt, Mark; Aete, Erick Otieno

doi:10.4236/gep.2021.910007

Cited by 3 publications

(4 citation statements)

References 7 publications

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“…They are also used to develop biological surveys, evaluate reserve and management priorities, and foresee potential change under several scenarios for management or climate change [42]. Several researchers used the HSI to develop a model of potential fishing zones, as stated in studies [6], [25], [43]- [45]. Boitt and Aete [6] make use of surface temperature and chlorophyll-a remote sensing data by using a suitability index.…”

Section: Habitat Suitability Indexmentioning

confidence: 99%

“…Several researchers used the HSI to develop a model of potential fishing zones, as stated in studies [6], [25], [43]- [45]. Boitt and Aete [6] make use of surface temperature and chlorophyll-a remote sensing data by using a suitability index. They discovered that locations with sea surface temperatures between 23.0 to 28.3 ˚C and chlorophyll-a concentrations between 0.72 to 1.31 mg/m 3 accounted for more than 90% of the total catch.…”

Section: Habitat Suitability Indexmentioning

confidence: 99%

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A review on features and methods of potential fishing zone

Ya’acob,

Nik Dzulkefli,

Abdul Aziz

et al. 2024

IJECE

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This review focuses on the importance of identifying potential fishing zones in seawater for sustainable fishing practices. It explores features like sea surface temperature (SST) and sea surface height (SSH), along with classification methods such as classifiers. The features like SST, SSH, and different classifiers used to classify the data, have been figured out in this review study. This study underscores the importance of examining potential fishing zones using advanced analytical techniques. It thoroughly explores the methodologies employed by researchers, covering both past and current approaches. The examination centers on data characteristics and the application of classification algorithms for classification of potential fishing zones. Furthermore, the prediction of potential fishing zones relies significantly on the effectiveness of classification algorithms. Previous research has assessed the performance of models like support vector machines, naïve Bayes, and artificial neural networks (ANN). In the previous result, the results of support vector machine (SVM) were 97.6% more accurate than naive Bayes's 94.2% to classify test data for fisheries classification. By considering the recent works in this area, several recommendations for future works are presented to further improve the performance of the potential fishing zone models, which is important to the fisheries community.

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Section: Habitat Suitability Indexmentioning

confidence: 99%

Section: Habitat Suitability Indexmentioning

confidence: 99%

A review on features and methods of potential fishing zone

Ya’acob,

Nik Dzulkefli,

Abdul Aziz

et al. 2024

IJECE

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show abstract

“…Estimations of suitable habitats for sea urchins followed the workflow (Figure 2) and methods reported by Meixler and Bain [8] and Boitt et al [9]. The used suitability method was the scoring and overlay of environmental variables and sea urchin individual numbers mapped into an intertidal zone map.…”

Section: Suitable Habitat Estimation Analysismentioning

confidence: 99%

Spatial Estimations of Suitable Intertidal Habitats for Conservations of Sea Urchin Community in Sancang Coast, West Java

Suprapto

Husna

Meylani

et al. 2023

J. Multidiscip. Appl. Nat. Sci.

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The intertidal zone is an important habitat for marine organisms, including sea urchins. One of the potential intertidal zones is located on West Java's Sancang Coast. However, information about suitable habitats for sea urchins in this particular intertidal zone is still limited. Here, the spatial estimation of suitable habitats has been implemented aided by scoring, interpolation and overlay analysis of environmental variables and numbers of sea urchin individuals using Geographical Information Systems (GIS). Environmental variable measurements and sea urchin surveys were implemented using the belt transect method. The estimated habitats were located at the Ciporeang, Cikujangjambe and Cibako sites, representing the East, Middle and West sides of intertidal zones that have distinct environmental variables. Based on the results, there were three sea urchin species, with Stomopneustes variolaris having the highest abundance, followed by Heterocentrotus trigonarius, and the lowest one was Diadema setosum. Most species were recorded in Cibako. Correspondingly, the Cibako site has a larger zone classified as very high (70%) and highly suitable (30%) for sea urchins as characterized by seagrass and algae cover, low water temperature, high pH, and salinity parameters. On the contrary, more than 50% of the rocky Ciporeang site zones, with warmer water and low salinity and pH, are not suitable for sea urchins. Therefore, the conservation of the Sancang Coast's sea urchin community should prioritize Cibako sites.

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“…Estimations of suitable habitats for brittle stars followed the workflow (Figure 2) and method described by Meixler and Bain (2012) and Boitt et al (2021). The suitability method used was the scoring and overlay of environmental variables and brittle star individual numbers mapped into a sandy substrate map.…”

Section: Suitable Sandy Substrates Analysismentioning

confidence: 99%

Spatial models of suitable sandy substrates for brittle star community conservation in Sancang Coast, West Java, Indonesia

Suprapto

Husna

Meylani

et al. 2022

Indo Pac J Ocean Life

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Abstract. Suprapto PK, Husna IR, Meylani V, Basukriadi A, Wibowo AA, Nurdin E. 2022. Spatial models of suitable sandy substrates for brittle star community conservation in Sancang Coast, West Java, Indonesia. Indo Pac J Ocean Life 6: 87-93. The brittle star is known as one of the echinoids with the largest members. Currently, brittle star species are threatened due to harvests for fulfilling decorative species demands in aquariums. This study aims to determine suitable sandy substrates for the brittle star community in Sancang Coast, West Java, Indonesia, in three representative stations. Brittle star presences and environmental variables were surveyed using belt transect methods, and sandy substrate suitability was determined using scoring and an interpolation method aided by GIS. Results show three species belong to the Ophiocomidae, with Ophiocoma scolopendrina (Lamarck, 1816) (brittle lagoon star) being the most abundant. About 394,631 m2 of sandy substrates were available, and an estimated 47.52% is considered very suitable for brittle stars. Most suitable sandy substrates were located on the West side, characterized by low water temperature, high salinity, and alkaline water. In contrast, less suitable sandy substrates were located on the coast's east side, characterized by high water temperature, low salinity, and acidic water. To conclude, this research has identified which parts of the Sancang Coast should be prioritized to conserve brittle stars.

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Identification and Mapping of Essential Fish Habitats Using Remote Sensing and GIS on Lake Victoria, Kenya

Cited by 3 publications

References 7 publications

A review on features and methods of potential fishing zone

A review on features and methods of potential fishing zone

Spatial Estimations of Suitable Intertidal Habitats for Conservations of Sea Urchin Community in Sancang Coast, West Java

Spatial models of suitable sandy substrates for brittle star community conservation in Sancang Coast, West Java, Indonesia

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