Fisheries Science Research Articles

Cooperation between the fishery sector and science: CTD probe measurements during fishing catches on the feeding grounds of herring (Culpea harengus) and sprat (Sprattus sprattus) in the south-eastern part of the Baltic Sea

282 CTD probe measurements were analysed for the parameters of temperature, salinity, depth and oxygen saturation of the water column. These measurements were taken during commercial pelagic fishing for herring (Clupea harengus) and sprat (Sprattus sprattus). These species are currently the main target of commercial fishing in the Baltic Sea. Research was carried out throughout the years 2018–2022 in the south-eastern Baltic Sea, mainly in the Gdańsk Deep, mostly during the daytime. The main factor that influenced both, fishing strategy and the increase in catch per unit effort throughout each year, was temperature. Regardless of the season, the most frequent temperature measured was around 5.8°C during fishing, and 5°C in the most abundant winter season. This is the value occurring within the boundaries of the formation of the thermocline and the hypolimnion layer in the Baltic Sea. The formed shoals of fish moved dynamically with this layer in the daytime and occurred throughout the year at various depths in a range of up to 65.7 m. A stronger reaction to temperature changes was also observed for sprat, which is the most exploited fish in the Baltic Sea. This species was observed to be more numerous in the deeper layers of the water column and at lower temperatures than herring. In the winter, shoals of fish were observed at the level of the halocline, which may be strongly related to the presence of a preferred optimal food base in this season.

Application of Artificial Intelligence in the Study of Fishing Vessel Behavior

Monitoring and understanding the behavior of fishing vessels are important in facilitating effective management, preventing illegal fishing, informing fishing grounds and evaluating effects of harvests on fishery resources. In recent decades, a large quantity of real-time data of fishing vessels have become available with the development of vessel-tracking systems, making it possible to study the behavior of fishing vessels in high spatial and temporal resolutions. To effectively and efficiently deal with the large amount of data, algorithms from artificial intelligence (AI) are increasingly applied in the study of fishing vessel behavior. In this paper, we first introduce the various data sources for studying fishing vessel behavior and compare their pros and cons. Secondly, we review the AI methods that have been used to monitor and extract the behavior of fishing vessels from big data. Then, studies on the physical, ecological and social mechanisms affecting the behavior of fishing vessels were synthesized. Lastly, we review the applications of fishing vessel behavior in fishery science and management.

Waters of the United States: An Urgent Call for Action by Fisheries and Aquatic Science Professionals

Waters of the United States: An Urgent Call for Action by Fisheries and Aquatic Science Professionals

The formation of scientific research in the Finland gulf in the XIX–XX-th centuries and their significance for the fishery science of Russia

The results include the historical chronicle of expeditions in the eastern part of the Finland Gulf, the periodization of the formation of fisheries research with an emphasis on their role in shaping the scientific worldview in general, and the history of the creation of the scientific school, which laid the traditions of Russian fishery study. The fundamental role of science for the effective operation of the fishery industry is shown. The chronological framework of the study covers the period from 1851 to 1941, the starting point of which is the date of the officially recognized first scientific expedition on fishing issues to Lake Peipus, Pskov and the Baltic Sea. The study is aimed to a historical review of the formation of fishery research in the eastern part of the Finland Gulf and an assessment of their role for ichthyological science in general. The work is based on an analytical approach to the history of the formation of ichthyological science, including prerequisites, goals, methodology in the context of a close relationship with fisheries, and a retrospective analysis that made it possible to identify the main patterns in the development of fishery study that determined specific features in a particular historical period. The analysis of the development of Russian fishery science and its relationship with fishery in a particular region in a broad scientific, social and economic context determines the novelty of the study. The practical and theoretical significances are determined by the identification of the fundamental importance of applied research in different historical periods, which played a key role for ichthyological science in general and the economic development of the Finland Gulf in particular.

Length-Weight Relationships and Relative Condition Factor of 53 Species of Shallow-Water Fish in the Colombian Caribbean Sea

Length-weight relationships (LWR) were described for 53 species of shallow-water fish caught with bottom trawls in a depth range between 7.3 and 108.1 m during September 2013 in the Colombian Caribbean Sea (fishing area 31 of the FAO). A linear regression was performed using the logarithmically transformed data to calculate a and b coefficients and their 95% confidence interval of the LWR for 53 fish species corresponding to 28 families and 44 genera. Six fish species showed a maximum total length greater than that reported in FishBase: Astrapogon alutus (102.00 mm), Eucinostomus harengulus (162.00 mm), Haemulopsis corvinaeformis (293.00 mm), Cyclopsetta chittendeni (390.00 mm), Etropus crossotus (224.00 mm), and Bairdiella ronchus (415.00 mm). A total of 24 species (45.3%) exhibited isometric growth, 21 species (39.6%) negative allometric, and 8 species (15.1%) positive allometric. This study shows the first estimates of LWR for 25 species of shallow-water fish in the Colombian Caribbean Sea. We found interdependence of growth parameters as a function of fish body shape. The analysis of the relative condition factor indicated that 21 fish species (39.6%) showed poor growth conditions. The results obtained from this study contribute to fill information gaps on shallow-water fish populations and also help fisheries scientists in future population assessment studies in the Colombian Caribbean Sea.

Mechanistic modeling of climate effects on redistribution and population growth in a community of fish species.

Understanding community responses to climate is critical for anticipating the future impacts of global change. However, despite increased research efforts in this field, models that explicitly include important biological mechanisms are lacking. Quantifying the potential impacts of climate change on species is complicated by the fact that the effects of climate variation may manifest at several points in the biological process. To this end, we extend a dynamic mechanistic model that combines population dynamics, such as species interactions, with species redistribution by allowing climate to affect both processes. We examine their relative contributions in an application to the changing biomass of a community of eight species in the Gulf of Maine using over 30 years of fisheries data from the Northeast Fishery Science Center. Our model suggests that the mechanisms driving biomass trends vary across space, time, and species. Phase space plots demonstrate that failing to account for the dynamic nature of the environmental and biologic system can yield theoretical estimates of population abundances that are not observed in empirical data. The stock assessments used by fisheries managers to set fishing targets and allocate quotas often ignore environmental effects. At the same time, research examining the effects of climate change on fish has largely focused on redistribution. Frameworks that combine multiple biological reactions to climate change are particularly necessary for marine researchers. This work is just one approach to modeling the complexity of natural systems and highlights the need to incorporate multiple and possibly interacting biological processes in future models.

Peer review declaration

All papers published in this volume of IOP Conference Series: Earth and Environmental Science have been peer reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. Type of peer-: Double-blindWe use a double-blind type of peer review process. The author and reviewer identities are hidden to each other. The papers that pass the plagiarism check, then proceed to review process. Review process was conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. Our reviewers are the eminent experts, prominent scientists and researchers. We use a double-blind type of peer-review process. We provide reviewers an article grading form for each paper. The article grading form contains general comments and also specific suggestions and feedbacks for each section in the paper. The reviewer also asked to make a decision regarding the feasibility of publishing a paper along with the scientific reason behind it, such as substance suitability and data eligibility. Articles will not be processed further, if the results of the review state that the article is not eligible with the reviewer's notes on the assessment form. We send the paper to the reviewer, for one until two weeks, to be reviewed. Then, we forwarded the results of the review to the author so that it could be improved according to the suggestions and notes of the reviewer. Next, we sent the results of the improvements from the authors back to the reviewers to be followed up, whether they have been well elaborated or still need improvement. When the revised paper still needed some improvement, the steps repeated until the reviewer verified that the article is feasible and ready to be processed to the final stage by the editor (layout and proofread). Conference submission management system: All the ISOSS 2022 papers were processed by MORRESSIER system and also by personal message between committees and authors. Number of submissions received: 82 Number of submissions sent for review: 77 Number of submissions accepted: 68 Acceptance Rate: 82,93% Average number of reviews per paper: 2 Total number of reviewers involved: 63 reviewers Any additional info on review process: We only accepted paper that has a plagiarism value below 20% exclude bibliography. Contact person for queries: Dr. Beginer SubhanE-mail: beginersubhan@apps.ipb.ac.idDepartment of Marine Science and Technology, Faculty of Fisheries and Marine Science, IPB University, Dramaga, Bogor 16680, West Java, IndonesiaPhone: +62 812 8347 579

An automated approach for detection and classification of toothed whales in Hawai'i marine protected areas

Passive acoustic monitoring is an effective technique for studying cetacean presence within marine protected areas (MPAs). The Hawaiian archipelago is home to 18 species of resident toothed whales, but little is known regarding the spatio-temporal variability of false killer whales (Pseudorca crassidens—FKW) and short-finned pilot whales (Globicephala macrorhynchus) across Hawai‘i MPAs. Bottom-moored recorders were deployed inside and outside the Hawaiian Islands Humpback Whale National Marine Sanctuary and Papahānaumokuākea Marine National Monument through SanctSound and Pacific Islands Fisheries Science Center. High Frequency Acoustic Recording Packages (HARPs) and SoundTraps (200 kHz/48 kHz SR, respectively) deployed between 2018 and 2022, allowed leveraging of long-term datasets. Data used in this study include 27 deployments across 11 sites, encompassing >187 months of data. Here, we describe an automated approach for species classification which is challenging given the high spectral overlap in whistle features and acoustic masking during humpback whale season. PAMGuard detectors were used to detect whistles, clicks, and burst pulses. Features were extracted using PAMpal and species classified using BANTER models and confirmed from a Hawaiian Islands Ecosystem Assessment Survey annotated dataset. Acoustic monitoring provides vital information about the value of MPAs and a better understanding of endangered insular FKW habitat use.

Preface

International Conference on Agriculture, Environment and Food Security (AEFS) is a leading international conference held by the Faculty of Agriculture, Universitas Sumatera Utara, Indonesia, for presenting novel and application experiences in agriculture and environment and food security. It also fosters communication worldwide among scientists, researchers, scholars, resource managers, practitioners, students, policymakers, and those interested in agricultural, environmental sciences, and food security.AEFS Conference has been held annually since 2017. The AEFS Conference deliberations for the last four years were on the following themes of Agriculture, Plantation and Livestock for World Food Security (AEFS 2017); Prospects and Challenges of Sustainable Agriculture to Improve Food Security and Environment (AEFS 2018); Challenges on Food Security and Sovereignty in the Industrial Era 4.0 (AEFS 2019); Innovation and Technologies on Agricultural and Environmental Sustainability Systems (AEFS 2020); Precision Agriculture Technologies and Farming Systems Toward Food Security and Sustainability (AEFS 2021). Moreover, for the 6th AEFS 2022, the theme was focused on “Strengthening Sustainable Agriculture for A Better Future” with seven selected tracks, including Agricultural Engineering, Agricultural Economics, Food Science and Technology, Animal Science, Marine and Fisheries Science, Environmental Science and Plant Science (Agronomy and Plantation, Plant Breeding, Biotechnology, Integrated Pest Management and Soil Science).List of Steering Committee, Organizing Committee, Editorial and Reviewing, PIC Committee, are available in this pdf.

Reproductive performances of triploid male and female Nile tilapia Oreochromis niloticus (Linnaeus, 1758) at different ages

Abstract. Carman O, Mukti AT, Zairin JR M, Alimuddin. 2023. Reproductive performances of triploid male and female Nile tilapia Oreochromis niloticus (Linnaeus, 1758) at different ages. Biodiversitas 24: 4235-4242. Triploidization has been known as a chromosome set manipulation strategy to produce sterile fish. This study aimed to examine the reproductive and sterility performances of triploid male and female Nile tilapia Oreochromis niloticus (Linnaeus, 1758) at different ages. The triploidization process using heat shock of 41°C for four minutes at four Minutes After Fertilization (MAF) of the zygote old made the population of triploid tilapia. Two steps of fish rearing were conducted, namely indoor fish rearing and outdoor fish grow-out. Fish were reared in a controlled laboratory (indoor) at the Reproduction and Genetics Laboratory of Aquatic Organisms, Department of Aquaculture, Faculty of Fisheries and Marine Science, IPB University for four months, and then fish grow-out was performed in a controlled pond for two months. Reproductive performances such as Hepatosomatic Index (HSI), Gonadosomatic Index (GSI), gonadal development, and sterility of triploid and diploid for both male and female tilapias were analyzed. These results showed that triploid tilapia generally indicated late gonadal development and growth compared to diploids before and during maturation. Triploid female tilapia showed a lower HSI than diploid female tilapia (P<0.05). Otherwise, triploid and diploid males showed the same HSI. GSI of triploid males and females were lower than diploid males and females (P<0.05) at every age, namely three-, four-, five- and six-month-old fish. Based on the size and histology of the gonad, triploid male and female tilapias showed sterile characteristics with gametogenesis inhibition.

Mechanisms and models for industry engagement in collaborative research in commercial fisheries

Data and insights from fishers are essential sources of information to advance understanding of fishery and ecosystem dynamics. Incorporating fisher and industry knowledge holds prospects for improving marine science and fisheries management. We address cooperative research in the context of collaboration between fishers, scientists, industries, universities, and agencies to develop applied research to understand marine ecosystems, inform fishery management, enhance sustainability, govern resource use, and investigate social-economic dynamics. We leverage the insights of more than 100 research scientists, fisheries managers, industry representatives, and fishers to outline actionable recommendations for effective approaches and mechanisms to integrate industry data, perspectives, and insights in fisheries science. We also highlight opportunities and address challenges and limitations to such collaboration.

Estimation of subsurface salinity and analysis of Changjiang diluted water volume in the East China Sea

In the East China Sea (ECS), the sea surface salinity (SSS) changes as the Changjiang Diluted Water (CDW) propagates toward the Korean Peninsula via the ocean current and winds every summer annually. Although the vertical stratifications resulting from the CDW volume changes are important, it has not been analyzed yet. Therefore, in this study, we aimed to estimate the salinity at a depth of 10 m (S10m) using convolutional neural network (CNN) model based on multi-satellite measurements and analyze CDW volume variations. The main CDW mass in the ECS reaches approximately 10 m in depth; thus, the CNN model was developed using sea surface physical factors as input and in situ S10m obtained from the National Institute of Fisheries Science (NIFS) as ground truth data from 2015 to 2021. The CNN tests result showed a determination coefficient (R2) of 0.81, root mean square error (RMSE) of 0.63 psu, and relative RMSE (RRMSE) of 2.00%. Unlike the sea surface distribution, the spatial distribution of S10m showed that the CDW was predominantly present in the center of the ECS. From SHapley Additive exPlanations (SHAP) analysis, SSS exhibited a strong positive relationship with S10m, and the sea level anomaly showed a strong negative relationship. After calculating the volume of the CDW from the surface to a depth of 10 m, the maximum (3.01×1012 m3) and minimum volumes (1.31×1012 m3) were represented in 2016 and 2018, respectively. Finally, the warming effect induced by the CDW volume changes was analyzed in two different years: 2016 and 2018. Specifically, in 2016, the sea surface temperature increased by more than 4.79 °C in the Ieodo location, while in 2018, it increased by 2.19 °C. Thus, our findings can obtain information about the volume variation of the CDW and its effect on the ECS in summer.

Effects of Salinity on Fertilization, Hatching, and Larval Performance of Longfin Smelt Spirinchus thaleichthys

Understanding the spawning and rearing habitats of fishes is critical to effective fisheries management and conservation. Longfin smelt Spirinchus thaleichthys is an imperiled migratory fish that is believed to spawn and rear in habitats of varying salinities; however, optimal conditions for each stage remain unknown. Here, we examined the effects of variation in salinity on egg fertilization, hatch success, and larval growth and survival. Eggs that were fertilized in freshwater (0.4 ppt) exhibited a significantly higher fertilization rate (81%) than those fertilized in brackish water (62% at 5 ppt), with no detectible effects of fish origin or female size. In contrast to fertilization rates, once the eggs were fertilized, their hatching rates were not affected by the fertilization salinity, incubation salinity, nor their interaction; however, hatching success and larval survival both increased with increasing maternal body mass. Larval growth rate appeared to be independent of salinity and maternal size. Taken together, the results indicate that fertilization is possible at a range of salinities, but optimal at lower salinities for longfin smelt; however, embryos and larvae can perform well across a range of salinities. Furthermore, results indicated that larger mothers produced high-quality offspring, a finding that supports the “bigger is better” paradigm in fisheries science and management. These results likely explain, in part, the spawning and rearing behaviors of wild longfin smelt and suggest that the conservation culture program would likely be optimized by utilizing freshwater fertilization and larger females as broodstock.

Application of the Technology Readiness Levels Framework to Natural Resource Management Tools

Technology advancements in fisheries science can provide useful tools to support natural resource management and conservation. However, new technologies may also present challenges for decision makers due to the lack of a standardized process to assess technologies for consideration within management plans. Future technology development in fishery and water resources could benefit from a framework that assigns an appropriate technology development stage and defines the readiness for implementation. Technology Readiness Levels (TRL) are one established research and development scale used throughout engineering and related disciplines that could be applied to natural resource management tools. The TRL assess the maturity of a technology from nascent idea through a fully developed technology. Steps within this scale could provide a general framework for researchers to follow when planning and conducting studies, while similarly providing a standard scale for resource managers to assess readiness for technology transfer and implementation. The goal of this paper is to describe TRL in the context of natural resource management tools and offer this existing framework as one option to facilitate communication between researchers and managers.

Preface

On behalf of the Organizing Committee, I would like to extend our warmest regards to all participants of the 7th International Conference on Tropical and Coastal Region Eco-Development (ICTCRED) 2022. This annual conference was held on 22 September 2022, organized by the Faculty of Fisheries and Marine Science, Universitas Diponegoro, Semarang, Central Java, Indonesia.We brought an essential global topic the Sustainable Development in Coastal Area . The conference aims to provide a forum to exchange ideas and their current achievements for researchers, academicians, professionals, and industries to expose and exchange innovative ideas, methods, and experiences in the areas related to tropical life sciences and coastal development.We have accepted 94 abstracts for oral and poster presentations coming from different universities and research centers from Indonesia, Japan, China, Thailand, Malaysia, and Bangladesh, which were consisted of 21 big interests. Besides, we have cordially invited ten highly respected researchers as keynote speakers with different fields to share their knowledge and expertise. We are grateful for each one of them for setting aside their valuable time to participate in this conference.The committee extent very kind thank all participants for the success of the conference. They were Rector of Universitas Diponegoro, Dean of Faculty of Fisheries and Marine Science, the keynote speakers. We also would like to acknowledge the Institute of Physics (IOP) for the collaboration in publishing the conference proceedings, our sponsors the Universitas Diponegoro, WCU Undip, LPPM Undip, COREM Undip, and ICZM Center Undip.Finally, we proudly present 40 accepted papers (93%) in IOP Conference Series: Earth and Environmental Science. We do hope that the 7th ICTCRED 2022 event brings a fruitful knowledge and be a memorable event not only from the scientific perspective but also in the joy of meeting with other scientists for mutual collaboration.List of Editor in Chief, Scientific Committee/Editor, Organizing Committee are available in this pdf.

A multi-predator trophic database for the California Current Large Marine Ecosystem

The California Current Trophic Database (CCTD) was developed at NOAA Southwest Fisheries Science Center in collaboration with numerous diet data contributors. We compiled the CCTD from twenty-four data sets, representing both systematic collections and directed trophic studies. Diet composition data, including stomach and scat samples, were obtained from 105,694 individual predators among 143 taxa collected throughout the California Current Large Marine Ecosystem (CCLME) from 1967–2019. Predator taxa consist of squids (n = 5), elasmobranchs (n = 13), bony fishes (n = 118), and marine mammals (n = 7). Extensive time series are available for some predators (e.g., California Sea Lion, Pacific Hake, Chinook Salmon). The CCTD represents the largest compilation of raw trophic data within the CCLME, allowing for more refined analyses and modeling studies within this region. Our intention is to further augment and periodically update the dataset as additional historical or contemporary data become available to increase its utility and impact.

Phenotypic Variability in Dorsal-fin Rays of Rachycentron canadum (Linnaeus, 1766) from Western, Visayas, Philippines

Cobia, Rachycentron canadum, is the only species in the family of Rachycentridae. Cobia is typically characterized as having 26–33 dorsal-fin rays. However, an investigation of specimens collected from Western Visayas waters revealed a wider variation in dorsal-fin ray count than previously reported, with some specimens having 35–36 dorsal-fin rays. Suspecting a possible cryptic species, we compared the mitochondrial cytochrome oxidase subunit 1 (COI) sequence for specimens with 35–36 dorsal-fin rays with those having the more typical 26–33 dorsal-fin rays. The sequences revealed no genetic differences between the two morphs. Morphometric measurements and meristic counting likewise found no significant differences. This is the first report of phenotypic variability in the dorsal-fin rays in Cobia. As a result of the phenotypic and genotypic characterization presented in this work, fisheries scientists and ichthyologists will be more aware of the existence of phenotypic variability in Cobia.

A review of genomics methods and bioinformatics tools for the analysis of close-kin mark-recapture

Stock assessments serve to monitor the condition of fish stocks and exploit them sustainably but require accurate data such as growth and mortality rates as input parameters. Most species fished worldwide lack the data needed to assess their status and even those closely assessed are often based on parameters that are known to contain uncertainty. This has resulted in an increased share of overfished stocks over the last half century, demanding urgently innovative methodologies that can provide novel means to reduce uncertainty of fish stocks assessments and expand the range of assessed species. CKMR has emerged recently attracting a great interest due to its potential to provide accurate demographic parameters of interest in stock assessments. The method is at the crossroads between fisheries science and genomics, requiring specialized knowledge that is usually outside of the experience of fisheries scientist and modellers, complicating the application of the method and its uptake in regular fisheries assessments. In this review, we provide useful information to perform the genomics and bioinformatics steps required to complete successfully a CKMR study. We discuss the most suitable genomics assays, considering the amount of information they provide, their easiness of use and cost of genotyping accurately the large number of individuals needed to assess most fish stocks. We provide an overview of methods of analysis and statistical methodologies that can be used to infer kinship with the accuracy required in a large population setting with sparse sampling, where most individuals are unrelated, determining a low probability of finding closely related individuals. We analyse potential sources of biases and errors and provide recommendations to facilitate the application of CKMR to a wider range of fish stocks.

Impacts of Strong ENSO Events on Fish Communities in an Overexploited Ecosystem in the South China Sea.

To better understand how fish communities respond to environmental changes under extreme climate events, we examine changes in fish communities in Beibu Gulf during strong El Niño and La Niña events. Strong La Niña and El Niño events affect the composition, abundance, and distribution of fish communities in Beibu Gulf. Fish community distribution and composition change before and after La Niña and El Niño events, and dominant species within them change with stable fishing intensity. The abundance and distribution of small pelagic fish such as Japanese jack mackerel (Trachurus japonicus) and Japanese scad (Decapterus maruadsi) are the most affected. Using a generalized additive model (GAM), we explore relationships between the abundance of T. japonicus and D. maruadsi and a suite of environmental variables. The GAM results revealed that sea surface salinity and sea surface temperature best explain changes in catch per unit effort of these two species during a La Niña event; depth, sea surface temperature, and mixed layer depth during an El Niño event. The results obtained in this study will offer support for implementing more-accurate, scientific fisheries management measures.

The design of a camera-based fisheries-independent survey for untrawlable habitat in the Gulf of Alaska

Biomass and size composition estimates from the fishery independent biennial Alaska Fisheries Science Center Resource Assessment and Conservation Engineering Division’s Groundfish Assessment Program Gulf of Alaska bottom trawl survey are an integral component of stock assessments and management of fishes in the region. A substantial proportion of the seafloor in the Gulf of Alaska survey area consists of rocky, high-relief habitat that is not accessible to trawl survey gear and is important habitat for many harvested fish species, especially rockfishes (Sebastes spp.). Survey estimates of groundfish abundance from trawlable grounds are expanded across the entire region. Therefore, survey abundance estimates could potentially be biased as a result of sampling that does not spatially represent all of the available habitat circumscribed by the Gulf of Alaska study area. Mapping the extent of the untrawlable habitat is a critical step toward understanding the scale of these potential biases and would benefit the design of a future untrawlable habitat survey. Several previous efforts have provided trawlability maps for part or all of the Gulf of Alaska based on different data inputs. In the present work, we compile two previously published untrawlable habitat maps with three other relevant data sources to create a new untrawlable habitat map, and use this map in conjunction with density estimates from existing underwater camera studies to investigate the feasibility of an untrawlable habitat rockfish survey in the Gulf of Alaska. An analysis of 1 km2 grids sampled more than once with a lowered camera system suggested that a single-stage sampling design (one camera transect per grid) would be most effective. Post-stratification analysis showed that either a simple depth stratification or stratification based on species distribution models provided lower coefficient of variation (CV) values at a given sample size compared to random sampling. Furthermore, a target CV of 25 % could be reached for a camera survey of dusky rockfish, northern rockfish, or Pacific ocean perch with less than 200 lowered camera transects if a stratification scheme based on species distribution models was used.