Top predator status and trends: ecological implications, monitoring and mitigation strategies to promote ecosystem-based management

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

Published: May 13, 2024

The conservation and management of marine ecosystems hinge on a comprehensive understanding the status trends top predators. This review delves into ecological significance predators, examining their roles in maintaining ecosystem stability functioning through an integrated analysis current scientific literature. We first assess efficacy various monitoring methods, ranging from traditional field observations to cutting-edge technologies like satellite tracking environmental DNA (eDNA) evaluating strengths limitations terms accuracy, spatial coverage, cost-effectiveness, providing resource managers with essential insights for informed decision-making. Then, by synthesizing data diverse ecosystems, this study offers overview affecting predator populations worldwide. explore multifaceted impacts human activities, climate change, habitat degradation abundance distribution these key species. In doing so, we shed light broader implications declining populations, such as trophic cascades altered community structures. Following thorough assessment successful strategies reversing decline compilation recommendations is presented, encompassing effective governance interventions. A crucial aspect ecosystem-based implementation robust strategies. Mitigation measures are imperative reverse adverse present array mitigation options based case studies. These include establishment protected areas, enforcement fisheries regulations, promotion sustainable fishing practices. deepen synergies between potential mitigate human-induced stressors safeguard pivotal role structure function. By predators’ significance, analyzing population trends, discussing techniques, outlining strategies, provide researchers, policymakers, stakeholders engaged fostering approaches. conclude that integrating frameworks will be both predators environment future generations.

Language: Английский

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Machine-learning aiding sustainable Indian Ocean tuna purse seine fishery

Ecological Informatics, Journal Year: 2024, Volume and Issue: 81, P. 102577 - 102577

Published: March 26, 2024

Among the various challenges facing tropical tuna purse seine fleet are need to reduce fuel consumption and carbon footprint, as well minimising bycatch of vulnerable species. Tools designed for forecasting optimum fishing grounds can contribute adapting changes in fish distribution due climate change, by identifying location new suitable grounds, thus reducing search time. While information about high probability find species could result a reduction. The present study aims at contributing more sustainable cleaner fishing, i.e. catching same amount target with less consumption/emissions lower bycatch. To achieve this, catches species, silky shark accidental have been modelled machine learning models Indian Ocean using inputs historical catch data these fleets environmental data. resulting show an accuracy 0.718 0.728 SKJ YFT, being absences (TPR = 0.996 0.993 respectively) better predicted than or low catches. In case BET, which is not main this fleet, that previous Regarding shark, presence/absence model provides 0.842. Even though model's performance has room improvement, work lays foundations process avoiding only input forecast provided near real time earth observation programs. future be improved knowledge conditions influencing becomes available.

Language: Английский

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Climate change to drive increasing overlap between Pacific tuna fisheries and emerging deep-sea mining industry

npj Ocean Sustainability, Journal Year: 2023, Volume and Issue: 2(1)

Published: July 11, 2023

Abstract In ocean areas beyond national jurisdiction, various legal regimes and governance structures result in diffused responsibility create challenges for management. Here we show those are set to expand with climate change driving increasing overlap between eastern Pacific tuna fisheries the emerging industry of deep-sea mining. Climate models suggest that distributions will shift coming decades. Within Clarion-Clipperton Zone Ocean, a region containing 1.1 million km 2 mining exploration contracts, total biomass bigeye, skipjack, yellowfin species forecasted increase relative today under two tested climate-change scenarios. Percentage increases 10–11% 30–31% 23% yellowfin. The interactions mining, fish populations, complex unknown. However, these projected indicate potential conflict resultant environmental economic repercussions be exacerbated climate-altered ocean. This has implications holistic sustainable management this area, pathways suggested closing critical gaps.

Language: Английский

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Toward Digitalization of Fishing Vessels to Achieve Higher Environmental and Economic Sustainability

ACS Environmental Au, Journal Year: 2024, Volume and Issue: 4(3), P. 142 - 151

Published: Jan. 24, 2024

Fishing vessels need to adapt and mitigate climate changes, but solution development requires better information about the environment vessel operations. Even if ships generate large amounts of potentially useful data, there is a variety sources formats. This lack standardization makes identification use key data challenging hinders its in improving operational performance design. The work described this paper aims provide cost-effective tools for systematic acquisition fishing vessels, supporting digitalization operation monitoring. needed facilitate reduction emissions as critical environmental problem industry costs sustainability. resulting monitoring system interfaces onboard systems sensors, processes it available shared space. From space, 209 signals are recorded at different frequencies uploaded onshore servers postprocessing. collected describe both ship operation, energy system, surrounding environment. Nine oceanographic variables have been preselected be public scientific repositories, such Copernicus EMODnet. also used fuel prediction models, species distribution route optimization models.

Language: Английский

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Climate Change, Sustainable Food Systems, and Community-Based Adaptation: Resilience Strategies in the Global South

Published: Jan. 1, 2025

Language: Английский

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Pan-Atlantic 3D distribution model incorporating water column for commercial fish

Ecological Modelling, Journal Year: 2024, Volume and Issue: 490, P. 110632 - 110632

Published: Feb. 14, 2024

Fisheries have a crucial contribution, with animal protein supply and economic income, to the subsistence blue economy of several human societies Atlantic Ocean, second largest water body in planet. However, an accurate distribution commercial fish across through column is still unknown. The wide use Species Distribution Models (SDMs) for marine mapping generally faces two shortcomings: (i) ignoring vertical dimension ocean; (ii) ecological niche theory model fitting. Our aim develop 3D habitat models main fishes accounting 67 % total biomass catches, provide enhanced spatial representation environmental species. In particular, here we (1) explore macroecological patterns testing if latitudinal-vertical species follows isothermal (2) apply novel modelling approach incorporating depth into data based exclusively on public occurrence data; (3) Shape-Constrained Generalized Additive (SC-GAMs) build SDMs accordance (GAM-NICHE model), avoiding potential overfitting hence allowing automatic selection; (4) estimate catch space probability occurrence. results indicated that prevailing ocean, confirming stock distributions needs incorporate explicitly data. response curves gradients 30 yielded very good accuracy performance (78–98 %). developed capability be improved updates new data-poor species, projected under climate change scenarios. obtained maps conform useful knowledge may help policy makers balance need protection sustainable resource exploitation Ocean.

Language: Английский

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Overcapacity and dynamics of a tuna fleet facing catch limits and high efficiency: the case of the Indian Ocean tuna fishery

Reviews in Fish Biology and Fisheries, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 7, 2025

Language: Английский

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The use of Atlantic seascapes for marine protected areas planning in the context of the marine biological diversity of areas beyond National Jurisdiction agreement

Marine Pollution Bulletin, Journal Year: 2025, Volume and Issue: 214, P. 117776 - 117776

Published: March 6, 2025

Language: Английский

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Hedonic price model of Hawaiʻi ʻAhi Tuna (Thunnus obesus and Thunnus albacares) market: Implications of climate change and shark depredation

PLOS Climate, Journal Year: 2025, Volume and Issue: 4(3), P. e0000595 - e0000595

Published: March 28, 2025

In Hawaiʻi, the prices of ʻ ahi tuna, i.e., bigeye tuna ( Thunnus obesus ) and yellowfin albacares ), are influenced by numerous factors. This study utilizes a hedonic price model to estimate using fish characteristics, trip-specific information, daily market conditions, foreign imports, individual seller effects, time effects. Sea surface temperature (SST) at fishing location trip length used as proxies for quality. Higher SST longer associated with lower prices, reflecting their negative impact on The provides important implications climate change future in Hawaiʻi. addition higher SST, impacts habitat, leading increased vessel travel distances; climate-induced reductions body size; effects abundance, biomass, spatial distribution, catchability, which affect supply—all have significant prices. also estimates shark depredation assesses its effect revenue.

Language: Английский

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Yapay Zeka Uygulamalarının Mavi Yüzgeçli Orkinos (Thunnus Thynnus (Linnaeus, 1758))’un Avcılığı ve Yetiştiriciliği’nin Rolü

Menba Kastamonu Üniversitesi Su Ürünleri Fakültesi Dergisi, Journal Year: 2025, Volume and Issue: 11(1), P. 96 - 115

Published: March 28, 2025

Yapay Zeka (AI); öğrenme, problem çözme ve karar verme gibi tipik olarak insan zekası gerektiren görevleri yerine getirebilen bilgisayar sistemlerinin geliştirilmesi uygulanması anlamına gelmektedir son yıllarda birçok sektörde kullanımı yaygınlaşmıştır. zeka; balık yetiştiriciliğinde büyümesi sağlığının anlaşılmasını yönetimini önemli ölçüde artırabilecek gerçek zamanlı izleme, veri analitiği, tahmine dayalı modelleme destek sistemleri için fırsatlar sunmaktadır. zekanın orkinos avcılığı et kalitesinin belirlenmesinde de kullanılmaya başlandığı görülmektedir. Ton balığının kalitesini değerlendiren bir AI sistemi olan TUNA SCOPE, Cermaq Umitron Corporation şirketlerin sağlığını refahını iyileştirmek çeşitli girişimlerde bulundukları AI'nın su ürünleri yetiştiriciliğine entegrasyonunun, işgücü maliyetlerini çevresel etkileri azaltırken verimliliği artıran odaklı kararlara olanak tanıyarak sürdürülebilir uygulamalarda devrim yaratması beklenmektedir. Çalışmamızın amacı; yapay zeka kullanımı, balıkçılık yetiştiriciliğindeki orkinoslarda ile ilgili yapılmış çalışmaların detaylı şekilde incelenerek sunmak ileride yapılacak uygulamaları alt yapı oluşturmaktır.

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