Ommastrephes Research Articles

Short to medium-term forecasting of fishing ground distribution based on deep learning model

Most of the fishing ground research focuses on real-time predictions and lacks continuous forecasting for future changes over a certain period. Traditional models characterized by large, single temporal scales lack effectiveness in accounting for the autocorrelation of environmental factors. Deep learning has demonstrated superior performance and promising development prospects due to its accurate and efficient ability to mine nonlinear information in the era of big data. Therefore, we take Ommastrephes bartramii as an example and constructed 28 different temporal scales and lead periods cases based on U-Net and compared them with GAM, NN and ConvLSTM model results. The input factors of this model are sea surface temperature (SST) and the output factors are the center fishing ground data (1998-2019). The results reveal that the optimal temporal scale and lead period for this model is 15 days and 4 on U-Net. The SST fluctuation information between different lead periods of environmental field and the coupling degree in fishing grounds may be essential factors affecting the model performance differences. It enhances marine fisheries understanding from artificial intelligence.

Annual Variability in the Horizontal Distribution and Biological Characteristics of the Neon Flying Squid Ommastrephes bartramii in the Central North Pacific Ocean in the Early Summer Between 2011 and 2019

Annual Variability in the Horizontal Distribution and Biological Characteristics of the Neon Flying Squid Ommastrephes bartramii in the Central North Pacific Ocean in the Early Summer Between 2011 and 2019

Impact of anomalous ocean warming on the abundance and foraging habits of the California Sea Lion (Zalophus californianus) from the San Benito Archipelago in the Mexican Pacific

Abstract The California sea lion (Zalophus californianus; CSL) reflects environmental conditions of the Northeastern Pacific, where resource availability was importantly reduced for different taxa during climatic variations such as the North Pacific heatwave (The Blob 2014 to 2015) or El Niño 2015 to 2016 due to the effect of these anomalies on primary productivity. Our objective was to determine the abundance and foraging habits of CSLs from the San Benito Archipelago (Mexican Pacific) in a period (2013 to 2019) that involved warm anomalies. Annual counts were conducted by sex/age classes; scats were sampled to identify the main prey consumed; and pup fur (maternal foraging indicators) was collected for analysis of δ13C and δ15N. The prey importance index (PII) and trophic level were calculated and the Siber assessment in R was used to estimate isotopic niches. Colony abundance decreased by approximately 50% from 2013 to 2019. Values of δ13C showed significant interannual differences (P < 0.001) with more negative values (−17.2‰ to −16.7‰) from 2015 onwards, indicating offshore foraging habits. Significant interannual differences (P < 0.001) were found for δ15N, with a declining trend (20.4‰ to 19.07‰), and a difference of more than 1‰ between 2013 and 2019, evidencing a probable shift of foraging grounds toward higher latitudes. Based on the PII, Strongylura exilis (30%), Merluccius productus (24%), Ommastrephes bartramii (10%), and Sardinops sagax (10%) were the most important prey, showing significant interannual differences (P < 0.001). CSLs had a mean trophic level of 4.89, with a slight increasing trend toward the end of the period. Dietary plasticity was found in CSLs, possibly caused by environmental changes that modified prey availability and led to variations in foraging grounds, and consequently in the colony abundance over time.

Deep learning-based fishing ground prediction with multiple environmental factors.

Improving the accuracy of fishing ground prediction for oceanic economic species has always been one of the most concerning issues in fisheries research. Recent studies have confirmed that deep learning has achieved superior results over traditional methods in the era of big data. However, the deep learning-based fishing ground prediction model with a single environment suffers from the problem that the area of the fishing ground is too large and not concentrated. In this study, we developed a deep learning-based fishing ground prediction model with multiple environmental factors using neon flying squid (Ommastrephes bartramii) in Northwest Pacific Ocean as an example. Based on the modified U-Net model, the approach involves the sea surface temperature, sea surface height, sea surface salinity, and chlorophyll a as inputs, and the center fishing ground as the output. The model is trained with data from July to November in 2002-2019, and tested with data of 2020. We considered and compared five temporal scales (3, 6, 10, 15, and 30days) and seven multiple environmental factor combinations. By comparing different cases, we found that the optimal temporal scale is 30days, and the optimal multiple environmental factor combination contained SST and Chl a. The inclusion of multiple factors in the model greatly improved the concentration of the center fishing ground. The selection of a suitable combination of multiple environmental factors is beneficial to the precise spatial distribution of fishing grounds. This study deepens the understanding of the mechanism of environmental field influence on fishing grounds from the perspective of artificial intelligence and fishery science.

Deep Learning-Based Fishing Ground Prediction Using Asymmetric Spatiotemporal Scales: A Case Study of Ommastrephes bartramii

Selecting the optimal spatiotemporal scale in fishing ground prediction models can maximize prediction accuracy. Current research on spatiotemporal scales shows that they are symmetrically distributed, which may not capture specific oceanographic features conducive to fishing ground formation. Recent studies have shown that deep learning is a promising research direction for addressing spatiotemporal scale issues. In the era of big data, deep learning outperforms traditional methods by more accurately and efficiently mining high-value, nonlinear information. In this study, taking Ommastrephes bartramii in the Northwest Pacific as an example, we used the U-Net model with sea surface temperature (SST) as the input factor and center fishing ground as the output factor. We constructed 80 different combinations of temporal scales and asymmetric spatial scales using data in 1998–2020. By comparing the results, we found that the optimal temporal scale for the deep learning fishing ground prediction model is 15 days, and the spatial scale is 0.25° × 0.25°. Larger time scales lead to higher model accuracy, and latitude has a greater impact on the model than longitude. It further enriches and refines the criteria for selecting spatiotemporal scales. This result deepens our understanding of the oceanographic characteristics of the Northwest Pacific environmental field and lays the foundation for future artificial intelligence-based fishery research. This study provides a scientific basis for the sustainable development of efficient fishery production.

Feeding habits of South American and sub‐Antarctic fur seals during their nonbreeding season in the southwestern Atlantic Ocean

AbstractStomach contents of South American (Arctocephalus australis) (n = 219) (SAFS) and sub‐Antarctic (A. tropicalis) (n = 37) (SFS) fur seals were opportunistically sampled from 1980 to 2021 to examine their feeding habits and resource partitioning in southern Brazil while in their nonreproductive periods. SAFSs mainly consumed abundant coastal pelagic species, such as Anchoa marinii and Doryteuthis sanpaulensis, resulting in high sexual trophic niche overlap. The frequency of occurrence (%FO) of fish prey, especially the overexploited Micropogonias furnieri, decreased between 1980–1992 and 2007–2021, while squid increased. For SFSs, offshore squids such as Ommastrephes bartramii and Illex argentinus were the most important prey considering both sexes in the long‐term. The interspecific trophic niche overlap was low, but it is likely underestimated since it increased with the inclusion of scat samples from SFSs. This sample‐size effect was also observed in Shannon's diversity index, which was lower for underrepresented SFSs. Marine debris ingestion was detected in both species (SAFS %FO = 2.7; SFS %FO = 8.3), with only flexible plastic material found. This study brings novel information on feeding habits of fur seal species in the extreme south of Brazil, as well as unprecedented information about their ecology during the nonreproductive period.

Trophic chain of the pelagic thresher, Alopias pelagicus, in the Southeastern Pacific Ocean: An approach through stable isotopes of carbon and nitrogen

The pelagic thresher, Alopias pelagicus, plays a vital role in coastal and marine ecosystems as a top predator that feeds on species from low trophic levels. It is a commercial species relevant in Ecuador. The feeding chain of A. pelagicus was analyzed through carbon and nitrogen stable isotopes in the Southeast Pacific Ocean. Considering the lack of studies regarding this topic, this would elucidate the flow of nutrients and energy from the base up to this predator. Its diet composition included 19 prey species, out of which 10 were cephalopods and nine Osteichthyes. The most relevant species were the squid Ommastrephes bartramii, Dosidicus gigas, Stenoteuthis oualaniensis, and the fish Merluccius gayi peruanus. The pelagic thresher is a carnivore predator, and its prey species belong to tertiary and quaternary trophic levels. The carbon and nitrogen male isotopic ratios were similar to those of females, as were immature and mature organisms. This suggests that this species feeds in oceanic regions of low depths and could be exploiting and sharing an area with similar feeding resources. According to the mixing models, squids were the most important prey group, in which the squid Ommastrephes bartramii contributed most to its diet. Furthermore, this shark was characterized as a specialist predator with a trophic overlap by sex and maturity stages.

Diversity and Distribution of 18 Cephalopod Species, and Their Link with Some Environmental Factors in the NW Pacific

Some cephalopods are important fishery resources, with some major economic species living in pelagic waters, possessing short life history cycles, and responding strongly to environmental changes. The analysis of cephalopod community species composition, catch distribution, and their relationship with environmental factors in important marine areas can provide a basic reference for cephalopod biogeography and resource development and utilization. In this study, based on the cephalopod survey data in the spring of 2015 and summer of 2016 in the Pacific Ocean, we analyzed the cephalopod species composition, diversity index (the Margalef richness index, Shannon–Wiener diversity index, and Pielou uniformity index), main contributing species, and catch distribution in the two seasons of spring and summer in the Pacific Ocean. We also analyzed the relationship between cephalopod catch, each diversity index, and environmental factors in each season using the GAM model. The results show that 18 species of cephalopods were captured in the spring and summer, the Margalef richness index, Shannon–Wiener diversity index, and Pielou uniformity index in summer was higher than that in spring; the average catch biomass in spring was significantly higher than that in summer. The main contributing species in spring was Todarodes pacificus, while the main contributing species in summer was Ommastrephes bartramii. The interaction of the “longitude” and “latitude” has a great impact on cephalopod catch biomass in spring, and “sea surface temperature” has a great impact on cephalopod catch biomass in summer. The results of the study can provide a basic reference for the study of cephalopod diversity and resource development and utilization in the Pacific Ocean.

Comparison of physicochemical and volatile flavor properties of neon flying squid (Ommastrephes bartramii), jumbo squid (Dosidicus gigas), and Argentine shortfin squid (Illex argentinus) during chilled storage.

The difference and similarities in the physicochemical and volatile flavor properties were determined in neon flying squid (OB), jumbo squid (DG), and Argentine squid (IA) mantles during 8 days of chilled storage. Physicochemical analysis indicated the chilled conditions induced rapid increases in pH value, total volatile basic nitrogen (TVBN), and carbonyl and malondialdehyde (MDA) content of the three squid species. In addition, myofibrillar protein (MP) content decreased and springiness in the OB, DG, and IA mantle samples declined with the extension of storage time. Importantly, OB mantles presented less chemical stability than the other two squid samples during 8 days of chilled storage. In addition, histological observations suggest DG mantle tissues presented more compact structures than those of the other two samples. Volatile flavor analysis showed propionaldehyde, 3-pentanone, trimethylamine, 3-furanmethanol, 2-methyl butyric acid, and 2-butanone were highly abundant in the squid mantles after storage, likely resulting from decomposition, oxidation, and degradation of proteins and lipids in the squid mantle, which varied with different squid species. The findings provide insight into the performance of three squid species during chilled storage.

Effects of Kuroshio and Mesoscale Eddy on Fishing Ground Gravity of Neon Flying Squid Ommastrephes bartramii in Northwest Pacific Ocean

Understanding the spatial patterns of neon flying squid is important for the monitoring and management of fishery resources. Mesoscale eddies and the Kuroshio Extension play important roles in the variation of the fishing ground of Ommastrephes bartramii. However, the way in which eddies and the Kuroshio influence the distribution of Ommastrephes bartramii requires further understanding. In this study, the spatial variation in the distribution of fishing activity and the change of fishing ground gravity of squid were analyzed using automatic identification system (AIS) data. There is a positive correlation between the fishing ground gravity in latitudinal direction and Kuroshio Extension indicators based on the high-frequency eddy kinetic energy (EKE), which describes the Kuroshio variations. Furthermore, the Kuroshio Extension indicators show a positive relationship with the number of the eddies generated in the fishing ground. The results suggest that the changes in the dynamics of SST anomalies could be influenced by eddy-shedding processes in the upstream KE and then alter the distribution of the fishing ground for Ommastrephes bartramii. The Kuroshio index (mean high-frequency eddy kinetic energy between 32° and 37° N, 142° and 149° E) can be used as a good indicator of Kuroshio extension variations to investigate the squid fishing ground in the Kuroshio–Oyashio transition area.

Summer Habitat and Fishing Ground of <i>Ommastrephes bartramii</i> Related with the North Pacific Subarctic Frontal Zone Using Long-term Field Research Data

The neon flying squid, Ommastrephes bartramii, is an economically important oceanic squid species that has been harvested commercially in the North Pacific by Japan, Korea, China, and Taiwan. The Fisheries Research Agency (FRA) of Japan conducted long-term research for this species from 1980 to 2009 using commercial vessels to clarify the resource ecology and it obtained a total dataset of approximately 9,000 days, where following from this and to better clarify the relationship between habitat preference and oceanographic conditions, a generalized additive model was applied and mapped onto the Simple Ocean Data Assimilation ocean/sea ice reanalysis (SODA) data. The resultant habitat map of the squid showed an area of high abundance at the Subarctic Frontal Zone (SAFZ), with abundance areas increasing the squid abundance from April to August. The SAFZ extends from 40°N to 43°N separating the cold, low-salinity, subarctic water to the north from the waters of the North Pacific Transition Zone to the south. This high abundance area intersects between subarctic area and temperate area. It has characteristic nutrient regimes, productivity cycles, and nektonic faunal compositions. This paper suggests that the SAFZ thus plays an important role in North Pacific ecosystems by providing an optimal balance between environmental temperature and food density for the neon flying squid.

The effects of climate-induced environmental variability on Pacific Ocean squids

Abstract Climate-induced environmental variability is proving to be a driving factor reshaping the distribution and altering the movement of marine species. However, how Pacific Ocean squids, with their 1-year life span and adaptive abilities, and which support >25% of global squid fisheries, respond to environmental variability is poorly understood. We address this knowledge gap by constructing spatio–temporal models for two squid species in three fishing grounds (Ommastrephes bartramii in the northwest Pacific Ocean and Dosidicus gigas in the eastern Pacific Ocean) using generalized additive mixed models based on data from digitized Chinese squid-jigging logbooks for 2005–2017. The relationships between environmental variables and local abundance of squids reflected by environmental and traditional spatial response curves track changes in climate. The peaks and troughs in squid biomass coincide with La Niña and El Niño events, but are moderate in contrast to the effects of directional climate-induced environmental variability. We find substantial poleward shifts by squids inhabiting low and middle latitudes. These findings have broad implications for food security and open ocean ecosystem dynamics.

Ontogenetic Trophic Shifts by Ommastrephes bartramii in the North Pacific Ocean Based on Eye Lens Stable Isotopes

The neon flying squid (Ommastrephes bartramii) plays an important ecological role in the North Pacific. An analysis of stable isotopes in eye lenses was conducted to investigate the inter- and intravariation of the trophic ecology of stocks at the eastern and western North Pacific throughout the life cycle. δ13C and δ15N values gradually increased with ontogenetic growth of the squid, which was associated with geographic migrations and increased the trophic level. For both stocks, from the paralarval to the juvenile stage, the trophic niche breadth increased, which might be the reason that the swimming and feeding ability improved as they entered the juvenile stage. Meanwhile, interactions between different ecosystems led to a greater diversity of food sources; thus, their feeding targets were no longer limited to plankton but shifted toward small fish and other cephalopods. Then, from the juvenile to the subadult–adult stage, the trophic niche breadth decreased, which can be explained by that O. bartramii had a selective preference for certain prey as ontogenetic growth proceeded, and they seemed to focus more on larger prey in the subadult–adult stage. Furthermore, the small amount of overlap between early and later life cycles suggested a significant trophic niche separation among different trophic ecologies and spatial ecologies. This study provides an understanding of diet shifts in neon flying squid in the North Pacific Ocean, primarily including diet shifts during their individual development and differences in trophic variation between the two stocks.

Decadal Changes in the Annual Growth of Two Commercial Ommastrephid Species in the Pacific Ocean

Neon flying squid Ommastrephes bartramii and jumbo flying squid Dosidicus gigas are two important commercial ommastrephid species in the Pacific Ocean. As short-lived marine species, squids are highly susceptible to changes in climate and marine environments. According to samples collected from the northwest and southeast Pacific Ocean in different years, we explored the growth characteristics of these two squids in terms of their mantle length (ML) distribution and the relationship between mantle length and body weight (LWR), also considering the relative condition factors (Kn), and explored the effects of the El Niño and Southern Oscillation (ENSO) on their growth. The results showed that the ML for O. bartramii and D. gigas had significant differences among different years and different sexes (p < 0.01), and the size of females was larger than that of males. LWR showed that both squids demonstrated a positive allometric growth pattern (b > 3), and parameters a and b were influenced by year and sex. Furthermore, there were significant differences in Kn in both squids for different years and different sexes (p < 0.01), and their interannual fluctuations were quite significant. In conclusion, the alterations in the marine environment caused by climate change had a significant impact on the growth of O. bartramii and D. gigas in this study. ENSO events had opposite effects on the growth of both squid species.

Transshipment activities in the North Pacific Fisheries Commission Convention Area

At-sea transshipment, transfer of catch from a fishing vessel to a carrier vessel is largely practiced in distant water fisheries. In the Convention Area (CA) of the North Pacific Fisheries Commission (NPFC), major portions of catches are known to be transshipped from fishing vessels to carrier vessels. To achieve proper stock assessment and management of small pelagic species, Japanese sardine, mackerels, Pacific saury, and neon flying squid, the transshipment data during 2018 and 2019 were analyzed. Based on this data and the registered vessel list, the transshipment activities were clarified by the analysis of AIS data, and the amount of catch landed directly by fishing vessels to markets were estimated. The transshipments of Pacific saury were well-reported by the Members and generally corresponded with the catch data. The transshipments of Japanese sardine and mackerels were presumably under-reported due to several observed inconsistencies between the transshipment and catch data. Ongoing stock assessment concerning these two species is thought to produce a weak incentive to report the related transshipments accurately, resulting the under-reporting or reporting as “Others”. Attempts were made to identify the transshipped species reported as “Others” by an analysis of AIS data and SST, and these were concluded as either transshipments of Japanese sardine or mackerels. The present study revealed transshipment activities of Members using the transshipment data and AIS data for the first time and indicated the Members report transshipment data accurately and that analysis of these activities can support the sustainable use of pelagic species within the CA.

Evaluating the impacts of mesoscale eddies on abundance and distribution of neon flying squid in the Northwest Pacific Ocean

Mesoscale eddies are ubiquitous in global oceans yielding significant impacts on marine life. As a short-lived pelagic squid species, the population of neon flying squid (Ommastrephes bartramii) is extremely sensitive to changes in ambient oceanic variables. However, a comprehensive understanding of how mesoscale eddies affect the O. bartramii population in the Northwest Pacific Ocean is still lacking. In this study, a 10-year squid fisheries dataset with eddy tracking and high-resolution reanalysis ocean reanalysis data was used to evaluate the impact of mesoscale eddies and their induced changes in environmental conditions on the abundance and habitat distribution of O. bartramii in the Northwest Pacific Ocean. A weighted-based habitat suitability index (HSI) model was developed with three crucial environmental factors: sea surface temperature (SST), seawater temperature at 50-m depth (T50m), and chlorophyll-a concentration (Chl-a). During years with an unstable Kuroshio Extension (KE) state, the abundance of O. bartramii was significantly higher in anticyclonic eddies (AEs) than that in cyclonic eddies (CEs). This difference was well explained by the distribution pattern of suitable habitats in eddies derived from the HSI model. Enlarged ranges of the preferred SST, T50m, and Chl-a for O. bartramii within AEs were the main causes of more squids occurring inside the warm-core eddies, whereas highly productive CEs matching with unfavorable thermal conditions tended to form unsuitable habitats for O. bartramii. Our findings suggest that with an unstable KE background, suitable thermal conditions combined with favorable foraging conditions within AEs were the main drivers that yielded the high abundance of O. bartramii in the warm eddies.

Extraction optimization, characterization, antioxidant and immunological activities of polysaccharides from squid (Ommastrephes bartramii) viscera

Extraction optimization, characterization, antioxidant and immunological activities of polysaccharides from squid (Ommastrephes bartramii) viscera

Assessing trophic interactions among three tuna species in the Solomon Islands based on stomach contents and stable isotopes

Trophic research is essential to the conservation and management of fishery resources. This study analyzed the feeding habits and nutritional interactions among three tuna species in the waters of the Solomon Islands (5°12′S–15°20′S, 157°31′E–172°19′E). A total of 103 bigeye tuna (Thunnus obesus), 296 yellowfin tuna (Thunnus albacores), and 264 albacore tuna (Thunnus alalunga) samples were collected from September to December 2019. Samples for stomach content and stable isotope analysis were randomly selected. The stomach content analysis results showed that the stomach contents of the three tuna species were rich in prey, and 48 prey species were identified, including fish, cephalopods, and crustaceans, with high between-phenotype component (BPC). Yellowfin tuna consumed the largest variety of food and bigeye tuna consumed the smallest. The feeding intensity of bigeye tuna were higher than that of yellowfin and albacore tuna. Yellowfin tuna had the highest empty stomach rate (35.69%) and lowest average stomach fullness index (0.064). The degree of stomach fullness in the three tuna species was mainly 1, and the difference in the stomach fullness index among them was significant (P<0.001). Food overlap (0.3–0.6) and Levins index (<0.6) among the three species were low, indicating a specialized feeding tendency. Bigeye tuna mainly feed on Ommastrephes bartrami and Myctophidae, yellowfin tuna mainly feed on Hyperiidea and Aluterus monoceros, and albacore tuna mainly feed on Gempylus serpens and Loligo chinensis. The stable isotope results showed that the δ13C and δ15N values of the three tuna species were significant (P<0.001). The standard ellipse area corrected for small sample sizes (SEAc) and total niche area (TA) of bigeye tuna, range of δ15N (NR) of yellowfin tuna, and range of δ13C (CR) of albacore tuna were the highest. The results of this study will help improve our understanding of the feeding ecology of these three tuna species and their important roles in the ecosystem and food web structure.

A checklist of cephalopods from continental shelf of Sarawak, Malaysian Borneo

Abstract. Morni WZW, Hassan R, Abit LY, Latif K. 2022. A checklist of cephalopods from continental shelf of Sarawak, Malaysian Borneo. Biodiversitas 23: 3203-3208. Cephalopods can be discovered in all the oceans of the world ranging from shallow to deep oceans. It is a naturally inhabited seawater medium and indirectly limits the number of research regarding the species composition of the cephalopods group. Previously, samples of cephalopods were collected from selected stations in Sarawak Exclusive Economic Zone (EEZ) using an otter trawl net with a stretch mesh size of 38 mm at the cod end. All samples used in this study were the by-catch of trawling activities during National Demersal Fish Resource Survey in Sarawak (16 August until 6 October 2015). Trawling operations were conducted beyond 12 nautical miles from the coast, and the area was divided into three depth strata, I) 20-50 m; II) 50-100 m; and III) 100-200 m. In total, 16 species of cephalopods were found to inhabit Sarawak waters, representing five families and eight genera. The present findings found that there was a higher number of species recorded in-depth strata I (14 species) in comparison to strata II (12 species) and III (11 species). Six species of the cephalopods captured in this study were the first recorded in Malaysian water, namely Amphioctopus marginatus, Amphioctopus rex, Ommastrephes bartramii, Sepia brevimana, Sepia vietnamica and Sepia prashadi. Thus, the information on cephalopod diversity and distribution at different depth strata will be useful for updating the current database on Malaysian marine species diversity.

Dose Rate Assessment Exercises with Stylized Phantom of Neon Flying Squid from Northwest Pacific

Radiation protection for non-human marine organisms still faces many challenges. To establish a more realistic radiation dosimetry model of cephalopods, this study developed a stylized phantom of neon flying squid (Ommastrephesbartramii) containing ten organs and tissues based on magnetic resonance imaging (MRI) technology. The internal and external dose conversion coefficients for eight radionuclides (134Cs, 137Cs, 131I, 110mAg, 60Co, 54Mn, 65Zn, 95Zr) of each organ/tissue were determined with Monte Carlo simulation using the Geant4 toolkit. Furthermore, with the reported coastal seawater radioactivity levels at the coastal area of Fukushima Daiichi Nuclear Power Plant after the accident in 2011 as the source term, the radiological dose rate for O. bartramii was evaluated with the stylized phantom developed in this study and with the conventional whole-organism ellipsoidal model in the ERICA Assessment Tool. Both results showed that the dose rate for O. bartramii derived from the FDNPP accident releases exceeded the generic no-effects screening benchmark level (10 μGy h−1).