Modelling the distribution of marine fishery resources: Where are we?

Rodrigues, Lucas dos Santos; Pennino, María Grazia; Conesa, David; Kikuchi, Eidi; Kinas, Paul Gerhard; Barbosa, Fabiana Gonçalves; Cardoso, L. P.

doi:10.1111/faf.12716

Cited by 6 publications

(2 citation statements)

References 161 publications

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“…Spatial distribution models (SDMs), which are alternatively referred to as habitat models, ecological niche models, and bioclimatic envelopes, are extensively employed in the evaluation of species-oceanography associations [24]. Spatial distribution models (SDMs) are mathematical models utilized for the purpose of predicting the distribution patterns of a species within its surrounding environment.…”

Section: Introductionmentioning

confidence: 99%

Distribution Patterns of Grey Mullet in the Taiwan Strait in Relation to Oceanographic Conditions

Teng,

Mondal,

et al. 2024

JMSE

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The depletion of the grey mullet population in the Taiwan Strait has generated interest in conservation initiatives and to enhance the effectiveness of restoration initiatives, it is essential to comprehend the specific habitat preferences of the species in question, particularly in relation to environmental changes. In this study, habitat suitability modelling was used to investigate the distribution patterns of grey mullet. Sea surface height (SSH) was the most significant predictor of the grey mullet standardized catch per unit effort (S.CPUE). Furthermore, sea surface temperature (SST) was the second most important oceanographic parameter, followed by mixed-layer depth (MLD). The grey mullet S.CPUE peaked in regions with the summed SST, Chla, salinity, SSH, MLD and current values being 20 °C, 0.9 mg/m3, 34.5 psu, 0.45 m, 18–38 m, and 0.25 m2/s2, respectively. From late October, HSI levels in the northern Taiwan ocean increased, with a consistent upward trend. The distribution expanded in November and December, focusing on the northern and mid-ocean regions west of Taiwan. HSI levels peak in January and February, especially in Taiwan’s coastal region. High HSI distribution shifts away from coastlines and diminishes in April. The findings of this study will contribute to the understanding of this specific species and the approach used in this study may be applicable to other fisheries stocks also.

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Section: Introductionmentioning

confidence: 99%

Distribution Patterns of Grey Mullet in the Taiwan Strait in Relation to Oceanographic Conditions

Teng,

Mondal,

et al. 2024

JMSE

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“…These models significantly enhance our capacity to comprehend patterns of species distribution, making them critical in studying the crucial implications of climate change on biodiversity. Consequently, they have emerged as focal points in research across fields such as ecology, evolutionary biology, and biogeography [35]. While there are plenty of commonly used ENMs, each capable of independently forecasting potentially suitable areas, it is important to note that each model exhibits specific biases or preferences [36].…”

Section: Introductionmentioning

confidence: 99%

Comparative Study of Potential Habitats for Simulium qinghaiense (Diptera: Simuliidae) in the Huangshui River Basin, Qinghai–Tibet Plateau: An Analysis Using Four Ecological Niche Models and Optimized Approaches

Liu,

Li,

Shao

2024

Insects

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The Huangshui River, a vital tributary in the upper reaches of the Yellow River within the eastern Qinghai–Tibet Plateau, is home to the endemic black fly species S. qinghaiense. In this study, we conducted a systematic survey of the distribution of the species in the Huangshui River basin, revealing its predominant presence along the river’s main stem. Based on four ecological niche models—MaxEnt with parameter optimization; GARP; BIOCLIM; and DOMAIN—we conduct a comparative analysis; evaluating the accuracy of AUC and Kappa values. Our findings indicate that optimizing parameters significantly improves the MaxEnt model’s predictive accuracy by reducing complexity and overfitting. Furthermore, all four models exhibit higher accuracy compared to a random model, with MaxEnt demonstrating the highest AUC and Kappa values (0.9756 and 0.8118, respectively), showcasing significant superiority over the other models (p < 0.05). Evaluation of predictions from the four models elucidates that potential areas of S. qinghaiense in the Huangshui River basin are primarily concentrated in the central and southern areas, with precipitation exerting a predominant influence. Building upon these results, we utilized the MaxEnt model to forecast changes in suitable areas and distribution centers during the Last Interglacial (LIG), Mid-Holocene (MH), and future periods under three climate scenarios. The results indicate significantly smaller suitable areas during LIG and MH compared to the present, with the center of distribution shifting southeastward from the Qilian Mountains to the central part of the basin. In the future, suitable areas under different climate scenarios are expected to contract, with the center of distribution shifting southeastward. These findings provide important theoretical references for monitoring, early warning, and control measures for S. qinghaiense in the region, contributing to ecological health assessment.

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Modelling species distribution, ecosystem structure and function and climate change

Blanche,

Quentin,

Nathalie

et al. 2024

Treatise on Estuarine and Coastal Science (Second Edition)

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Modelling the distribution of marine fishery resources: Where are we?

Cited by 6 publications

References 161 publications

Distribution Patterns of Grey Mullet in the Taiwan Strait in Relation to Oceanographic Conditions

Distribution Patterns of Grey Mullet in the Taiwan Strait in Relation to Oceanographic Conditions

Comparative Study of Potential Habitats for Simulium qinghaiense (Diptera: Simuliidae) in the Huangshui River Basin, Qinghai–Tibet Plateau: An Analysis Using Four Ecological Niche Models and Optimized Approaches

Modelling species distribution, ecosystem structure and function and climate change

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