Mapping the value of commercial fishing and potential costs of offshore wind energy on the U.S: West Coast: Towards an assessment of resource use tradeoffs

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(3), P. e0315319 - e0315319

Published: March 6, 2025

The West Coast of the U.S. has a vast offshore wind energy (OWE) electricity generation potential with value on order billions USD, and pressure is mounting to develop large OWE projects. However, this seascape numerous existing resource extraction uses, including multi-billion dollar commercial fishing industry, which create for conflict. To date, spatially explicit comparisons fisheries have not been done, but are essential marine spatial planning investigating tradeoffs development uses. In analysis, we generate maps levelized cost total economic activity generated by top eight targets that account majority (~84%) landed revenue off Coast. We quantify overlap between these two ocean uses use multiobjective optimization tradeoff frontiers investigate implications both sectors from established state goals or mandates power capacity. There clear differences in exposure each fishery their traditional grounds as function differing capacity outcomes vary depending whether achieved at state-by-state level region-wide level. Responsible siting projects includes careful consideration activities, responsible transition renewable energies elsewhere accounts socio-economic consequences associated fishery.

Language: Английский

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Identifying the spatio-temporal distribution patterns of mixed fisheries to inform multispecies management in the Yellow and Bohai Seas

Fisheries Research, Journal Year: 2025, Volume and Issue: 285, P. 107351 - 107351

Published: April 3, 2025

Language: Английский

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Applications of species distribution modeling and future needs to support marine resource management

ICES Journal of Marine Science, Journal Year: 2025, Volume and Issue: 82(3)

Published: Feb. 25, 2025

Abstract Fisheries science agencies are responsible for informing fisheries management and ocean planning worldwide, often requiring scientific analysis actions across multiple spatial scales. For example, catch limits typically defined annually over regional scales, fishery bycatch rules at fine scales on daily to annual time aquaculture energy lease areas decades subregional permitting intermediate Similarly, these activities require synthesizing monitoring data mechanistic knowledge operating different resolutions domains. These needs drive a growing role models that predict animal presence or densities including daily, seasonal, interannual variation, called species distribution/density (SDMs). SDMs can inform many needs; however, their development usage haphazard. In this paper we discuss various ways have been used in stock, habitat, protected species, ecosystem as well marine planning, survey optimization, an interface with climate models. We conclude discussion of future directions, focusing information current development, highlight avenues furthering the community practice around SDM use.

Language: Английский

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Dynamic human, oceanographic, and ecological factors mediate transboundary fishery overlap across the Pacific high seas

Fish and Fisheries, Journal Year: 2023, Volume and Issue: 25(1), P. 60 - 81

Published: Sept. 19, 2023

Abstract The management and conservation of tuna other transboundary marine species have to date been limited by an incomplete understanding the oceanographic, ecological socioeconomic factors mediating fishery overlap interactions, how these vary across expansive, open ocean habitats. Despite advances in fisheries monitoring biologging technology, few attempts made conduct integrated analyses at basin scales relevant pelagic highly migratory they target. Here, we use vessel tracking data, archival tags, observer records, machine learning examine inter‐ intra‐annual variability (2013–2020) five longline fishing fleets with North Pacific albacore ( Thunnus alalunga , Scombridae). Although progressive declines catch biomass observed over past several decades, is one only stocks primarily targeted longlines not currently listed as overfished or experiencing overfishing. We find that varies significantly time space mediated (1) differences habitat preferences between juvenile adult albacore; (2) variation oceanographic features known aggregate biomass; (3) different spatial niches shallow‐set deep‐set gear. These findings may significant implications for stock assessment this systems, particularly reliance on fishery‐dependent data index abundance. Indeed, argue additional consideration overlap, catchability, size selectivity parameters be required ensure development robust, equitable, climate‐resilient harvest control rules.

Language: Английский

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A machine learning approach for protected species bycatch estimation

Frontiers in Marine Science, Journal Year: 2024, Volume and Issue: 11

Published: April 15, 2024

Introduction Monitoring bycatch of protected species is a fisheries management priority. In practice, difficult to precisely or accurately estimate with commonly used ratio estimators parametric, linear model-based methods. Machine-learning algorithms have been proposed as means overcoming some the analytical hurdles in estimating bycatch. Methods Using 17 years set-specific data derived from 100% observer coverage Hawaii shallow-set longline fishery and 25 aligned environmental predictors, we evaluated new approach for estimation using Ensemble Random Forests (ERFs). We tested ability ERFs predict interactions five varying levels methods correcting these predictions Type I II error rates training data. also assessed amount needed inform ERF by mimicking sequential addition each subsequent fishing year. Results showed that was most effective greater than 2% interaction correction improved estimates all but introduced tendency regress towards mean Training needs differed among those above required 7-12 Discussion Our machine learning can improve rare comparisons are other approaches assess which perform best hyperrare species.

Language: Английский

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Evaluation of Yellow Sea anchovy (Engraulis japonicus) fishery for management strategies using a data-limited management toolkit

Heliyon, Journal Year: 2023, Volume and Issue: 9(7), P. e18058 - e18058

Published: July 1, 2023

Most fisheries in developing countries are data-limited, which creates a huge challenge to the fishery management. Therefore full utilization of available information is essential. Japanese anchovy (Engraulis japonicus) plays key role marine ecosystem, but population Yellow Sea China has declined recent decades, also data-limited fishery. In order implement robust management strategies recover stock, based on as well associated uncertainties, here we examine its strategy evaluation using computer software package toolkit (DLMtool). Results indicated that fishing pressure should be slightly reduced and length at first capture exceed maturity. These high probably conductive recovery. We selected some procedures performed this study, such minlenLopt1. Paying attention quantitative dynamics perfecting data collection important for future against uncertainties both model data.

Language: Английский

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Capturing big fisheries data: Integrating fishers’ knowledge in a web-based decision support tool

Frontiers in Marine Science, Journal Year: 2022, Volume and Issue: 9

Published: Dec. 12, 2022

There is increasing interest in utilizing fishers’ knowledge to better understand the marine environment, given spatial extent and temporal resolution of fishing vessel operations. Furthermore, part best available information needed for sustainable harvesting stocks, planning large-scale monitoring activity. However, there are difficulties with integrating such into advisory processes. Data often not systematically collected a structured manner issues around sharing within industry, between industry research partners. Decision support systems routing can integrate relevant systematic way, which both incentivizes vessels share beneficial their operations capture time sensitive big datasets research. The project Fishguider has been developing web-based decision tool since 2019, together partners Norwegian fleet. objectives twofold: 1) To provide provides model observation data skippers, thus supporting 2) foster bidirectional flow activity by transfer salient (both experiential data-driven), thereby creation Here we conceptual framework tool, along current status developments, while outlining specific challenges faced. We also present input from regarding what they consider important sources when actively fishing, how this guided development tool. explore potential benefits generally. Moreover, detail collaborations may rapidly produce extensive, management stocks. Ultimately, suggest that services will motivate collect data, increased research, improving itself consequently oceans, its fish stocks activities.

Language: Английский

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Temporal changes in lengths of Dolphinfish revealed by sampling at sportfishing tournaments in the southeastern United States

North American Journal of Fisheries Management, Journal Year: 2024, Volume and Issue: 44(3), P. 660 - 676

Published: May 30, 2024

Abstract Objective Our objective was to use sportfishing tournament data determine whether sizes of Dolphinfish Coryphaena hippurus have been changing in the western North Atlantic (WNA) over recent decades. Methods We sampled Carolina, South and Florida marine landings for lengths. Linear models were separately fitted length males females by regressing against year. A subset these (analysis covariance) considered as a factor. Result An analysis covariance model with separate regression slope each provided best fit male female Dolphinfish. Meaningful temporal declines found four five tournaments (no changes observed fifth tournament). Median total 168, 105, 103, 426 mm predicted males, 354, 133, 131, 246 females. Declines largest (97.5% confidence limit) most tournament‐ sex‐specific combinations could suggest excess fishing mortality on population. Conclusion size WNA region ramifications conservation population given that translate into reduced individual fecundity Causes decline be effects, environmental or combination these. Reductions may occurring simultaneously abundance identified other research using fishery‐dependent collected WNA.

Language: Английский

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Tracking 4 years in the life of a female whale shark shows consistent migrations in the Gulf of Mexico and Caribbean

Marine and Freshwater Research, Journal Year: 2024, Volume and Issue: 75(10)

Published: July 8, 2024

Context Satellite telemetry has revolutionised the study of animal movement, particularly for mobile marine animals, whose movements and habitat make consistent, long-term observation difficult. Aims Summarise Rio Lady, a mature female whale shark (Rhincodon typus), to characterise these movements, predict expected behaviour throughout Gulf Mexico (GOM). Methods Lady was tracked using satellite over 1600 days, generating 1400 locations travelling 40,000 km. State–space move persistence modelling enabled characterisation behaviour, machine learning (ML) development habitat-suitability models utilisation, on basis location transmissions their environmental covariates. Key results exhibited annually consistent patterns among three regions within GOM. Final ML produced seasonally dynamic predictions use Conclusions The application methods data exemplifies how movement core areas can be discovered predicted animals. Implications Despite our limited dataset, integrative approach advances summarise species improve understanding ecology.

Language: Английский

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Comparison of model selection and data bias on the prediction performance of purpleback flying squid (Sthenoteuthis oualaniensis) fishing ground in the Northwest Indian Ocean

Ecological Indicators, Journal Year: 2024, Volume and Issue: 158, P. 111526 - 111526

Published: Jan. 1, 2024

Purpleback flying squid (Sthenoteuthis oualaniensis, PFS) is one of the critical economically cephalopod species in northwest Indian Ocean, and accurate model dataset selection are parameters for predicting managing PFS fishing grounds. In this study, fishery data years 2016–2021 was analyzed using gravity center grounds method, generalized additive (GAM), gradient boosted trees (GBT), 3D Convolutional Neural Network (3DCNN), Networks-Convolutional LSTM (3DCNN-ConvLSTM) to explore differences annual catches, ground, performance, importance environmental variables case datasets A (no moonlight days) B days + bright days). The results as follows: 1) Datasets exhibit similar patterns variation, with catches rising then declining ground moving northeastward overall; 2) GAM GBT models had better performance on (GAM (average F1-score ± standard deviation): 0.678658 0.014684; GBT: 0.737422 0.011748)than (GAM: 0.676802 0.013403; 0.736547 0.013323), but almost negligible, deviation becomes larger. 3DCNN 3DCNN-ConvLSTM perform contrast, significantly deviations (3DCNN: 0.75048 0.019763; 3DCNN-ConvLSTM: 0.740041 0.023927) than 0.746378 0.020337; 0.736927 0.04498); 3) (optimal prediction performance) or (Optimal stability) optimal grounds; 4) GBT, 3DCNN, all showed that obtained from were significant; 5) Unlike model, more susceptible influences, significant dependence have large positive negative sample differences. This study provides rich suggestions constructing a predictive context climate change. It also new perspective cleaning up biased light fisheries.

Language: Английский

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