Modeling the Habitat Distribution of Acanthopagrus schlegelii in the Coastal Waters of the Eastern Taiwan Strait Using MAXENT with Fishery and Remote Sensing Data

Teng, Sheng-Yuan; Su, Nan-Jay; Lee, Ming-An; Lan, Kuo‐Wei; Chang, Yi; Weng, Jinn-Shing; Wang, Yi-Chen; Sihombing, Riah Irawati; Vayghan, Ali Haghi

doi:10.3390/jmse9121442

Cited by 11 publications

(6 citation statements)

References 56 publications

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“…In the autumn, catch rates were predicted to be lower in our investigation, possibly due to the spatial predictions of the GAM models revealing that EKE was the lowest DE. Although, Teng et al [30] mentioned that the movement of the Kuroshio Branch Current in the coastal waters of TS during autumn might substantially impact the habitats of various marine species. However, the catch rates were predicted to be higher and the majority of fishing locations during this period were in the southern part of TS, and relatively higher predictions were in the northeastern part of Taiwan but did not match the observed catch rates (Figure 8d).…”

Section: Predicted Spatial Distribution Pattern Of the Greater Amberjackmentioning

confidence: 99%

“…However, the current study had important limitations, such as the SST frontal area, which is associated with the habitat of large pelagic species, and we only use the GLM and GAM models to analyze the spatiotemporal distribution pattern of S. dumerili. Therefore, future research should consider the SST frontal data, and also include other habitat models such as the Geometric Mean Model [7], Arithmetic Mean Model [10], and Maximum Entropy Model [30,76], which one can apply and compare which is better for S. dumerili habitats.…”

Section: Environmental Factors Affecting the Greater Amberjackmentioning

confidence: 99%

“…Environmental factors such as sea surface temperature (SST), sea surface salinity (SSS), sea surface chlorophyll-a concentration (Chl-a), sea surface height (SSH), mixed layer depth (MLD), and eddy kinetic energy (EKE) have been reported to have a considerable impact on the distribution patterns of pelagic species [22][23][24][25][26][27][28][29][30][31], but few studies have focused on these factors with S. dumerili in the TS. In addition, an assessment of the reasons for fish catch reductions and the environmental factors influencing the distribution pattern of S. dumerili with preferred habitats in response to seasonal variations is still lacking.…”

Section: Introductionmentioning

confidence: 99%

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Variability in the Spatiotemporal Distribution Patterns of Greater Amberjack in Response to Environmental Factors in the Taiwan Strait Using Remote Sensing Data

et al. 2022

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The environmental characteristics of the Taiwan Strait (TS) have been linked to variations in the abundance and distribution of greater amberjack (Seriola dumerili) populations. Greater amberjack is a commercially and ecologically valuable species in ecosystems, and its spatial distribution patterns are pivotal to fisheries management and conservation. However, the relationship between the catch rates of S. dumerili and the environmental changes and their impact on fish communities remains undetermined in the TS. The goal of this study was to determine the spatiotemporal distribution pattern of S. dumerili with environmental characteristics in the TS from south to north (20°N–29°N and 115°E–127°E), applying generalized additive models (GAMs) and spatiotemporal fisheries data from logbooks and voyage data recorders from Taiwanese fishing vessels (2014–2017) as well as satellite-derived remote sensing environmental data. We used the generalized linear model (GLM) and GAM to analyze the effect of environmental factors and catch rates. The predictive performance of the two statistical models was quantitatively assessed by using the root mean square difference. Results reveal that the GAM outperforms the GLM model in terms of the functional relationship of the GAM for generating a reliable predictive tool. The model selection process was based on the significance of model terms, increase in deviance explained, decrease in residual factor, and reduction in Akaike’s information criterion. We then developed a species distribution model based on the best GAMs. The deviance explained indicated that sea surface temperature, linked to high catch rates, was the key factor influencing S. dumerili distributions, whereas mixed layer depth was the least relevant factor. The model predicted a relatively high S. dumerili catch rate in the northwestern region of the TS in summer, with the area extending to the East China Sea. The target species is strongly influenced by biophysical environmental conditions, and potential fishing areas are located throughout the waters of the TS. The findings of this study showed how S. dumerili populations respond to environmental variables and predict species distributions. Data on the habitat preferences and distribution patterns of S. dumerili are essential for understanding the environmental conditions of the TS, which can inform future priorities for conservation planning and management.

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Section: Predicted Spatial Distribution Pattern Of the Greater Amberjackmentioning

confidence: 99%

Section: Environmental Factors Affecting the Greater Amberjackmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Variability in the Spatiotemporal Distribution Patterns of Greater Amberjack in Response to Environmental Factors in the Taiwan Strait Using Remote Sensing Data

et al. 2022

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“…Infrared (IR) imaging technology has been widely used in target search and maritime navigation [1], maritime navigation [2], and maritime environmental variation [3,4]. IR imaging data can reflect object distance information and target shape information within the maritime background in two dimensions.…”

Section: Introductionmentioning

confidence: 99%

An Effective Method of Infrared Maritime Target Enhancement and Detection with Multiple Maritime Scene

et al. 2023

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Aiming at maritime infrared target detection with low contrast influenced by maritime clutter and illumination, this paper proposes a Modified Histogram Equalization with Edge Fusion (MHEEF) pre-processing algorithm in backlight maritime scenes and establishes Local-Contrast Saliency Models with Double Scale and Modes (LCMDSM) for detecting a target with the properties of positive and negative contrast. We propose a local-contrast saliency mathematical model with double modes in the extension of only one mode. Then, the big scale and small scale are combined into one Target Detection Unit (TDU), which can approach the “from bottom to up” mechanism of the Visual Attention Model (VAM) better and identify the target with a suitable size, approaching the target’s actual shape. In the experimental results and analysis, clutter, foggy, backlight, and dim maritime scenes are chosen to verify the effectiveness of the target detection algorithm. From the enhancement result, the LCMDSM algorithm can achieve a Detection Rate (DR) with a value of 98.26% under each maritime scene on the average level and can be used in real-time detection with low computational cost.

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“…Previous studies found that hydrodynamic and water quality variables such as water depth, temperature, DO, Chla etc. are important environmental factors affecting the extent of suitable habitats of sh (Zhang et al, 2017;Feng et al, 2021;Teng et al, 2021;Xing et al, 2021). Therefore, understand the relationship between environmental ow regulation and the hydrodynamic and water quality variables is priority.…”

Section: Introductionmentioning

confidence: 99%

Impacts of Environmental Flow Regulation on Survival of Aquatic Organisms: A Case Study of Cyprinus Carpio in Baiyangdian, China

You

2022

Preprint

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Decreasing water volume and increasing pollutants in wetlands pose challenges to aquatic life. Environmental flow regulation is a widely used to improve the living environment of aquatic organisms, but it’s effectiveness needs to be evaluated. In this study, the hydrodynamic and water quality models are used to simulate the fields of flow, temperature and pollutants and the Ecological Niche Modelling at the MetaLand EcologyLab (ENMTML) is utilized to evaluate the area of suitable habitats of aquatic organisms in the cases of environmental flow regulation and no environmental flow regulation conditions. The typical wetland of Baiyangdian in northern China is selected as the studied area and the important economic fish Cyprinus carpio is select as the indicator aquatic species to show the effectiveness of environmental flow regulation. The study period is from December 1, 2017 to July 1, 2018. The results indicate that for Cyprinus carpio in Baiyangdian Wetland, the variables of water depth, dissolved oxygen (DO), ammonia nitrogen (NH4+-N) and Chlorophyll a (Chla) are the major environmental factors which determines the variability of suitable habitat extent. The environmental flow regulation amount for the Baiyangdian Wetland is 2.6 \(\times\) 108 m3, which produces a suitable breeding habitat area of 135.532 km2 at the end of the water supply period. Comparing with no environmental flow regulation case, the suitable habitats areas is enlarged by 56.29 and 31.83 km2 of the highly and moderately suitable habitats for Cyprinus carpio, respectively. The outcomes of this study provide not only a basic reference for wetland management, but also a scientific perspective understanding of the environmental flow regulation on aquatic organisms. The proposed method combining MIKE 21 model with the ENMTML package is shown to have the potential to evaluate the effectiveness of environmental flow regulation in wetlands.

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Modeling the Habitat Distribution of Acanthopagrus schlegelii in the Coastal Waters of the Eastern Taiwan Strait Using MAXENT with Fishery and Remote Sensing Data

Cited by 11 publications

References 56 publications

Variability in the Spatiotemporal Distribution Patterns of Greater Amberjack in Response to Environmental Factors in the Taiwan Strait Using Remote Sensing Data

Variability in the Spatiotemporal Distribution Patterns of Greater Amberjack in Response to Environmental Factors in the Taiwan Strait Using Remote Sensing Data

An Effective Method of Infrared Maritime Target Enhancement and Detection with Multiple Maritime Scene

Impacts of Environmental Flow Regulation on Survival of Aquatic Organisms: A Case Study of Cyprinus Carpio in Baiyangdian, China

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