Widespread habitat loss and redistribution of marine top predators in a changing ocean

Science Advances, Journal Year: 2023, Volume and Issue: 9(32)

Published: Aug. 9, 2023

The Northwest Atlantic Ocean and Gulf of Mexico are among the fastest warming ocean regions, a trend that is expected to continue through this century with far-reaching implications for marine ecosystems. We examine distribution 12 highly migratory top predator species using predictive models project habitat changes downscaled climate models. Our predict widespread losses suitable most species, concurrent substantial northward displacement core habitats >500 km. These include up >70% loss area some commercially ecologically important species. also identify predicted hot spots multi-species focused offshore U.S. Southeast Mid-Atlantic coasts. For several already underway, which likely have impacts on efficacy static regulatory frameworks used manage ongoing projected effects change highlight urgent need adaptively proactively dynamic

Language: Английский

---

Building use‐inspired species distribution models: Using multiple data types to examine and improve model performance

Ecological Applications, Journal Year: 2023, Volume and Issue: 33(6)

Published: June 7, 2023

Species distribution models (SDMs) are becoming an important tool for marine conservation and management. Yet while there is increasing diversity volume of biodiversity data training SDMs, little practical guidance available on how to leverage distinct types build robust models. We explored the effect different fit, performance predictive ability SDMs by comparing trained with four a heavily exploited pelagic fish, blue shark (Prionace glauca), in Northwest Atlantic: two fishery dependent (conventional mark-recapture tags, fisheries observer records) independent (satellite-linked electronic pop-up archival tags). found that all can result models, but differences among spatial predictions highlighted need consider ecological realism model selection interpretation regardless type. Differences were primarily attributed biases each type, associated representation absences, sampled environment summarized resulting species distributions. Outputs from ensembles pooled both proved effective combining inferences across provided more ecologically realistic than individual Our results provide valuable practitioners developing SDMs. With access diverse sources, future work should further develop truly integrative modeling approaches explicitly strengths statistically accounting limitations, such as sampling biases.

Language: Английский

---

A will-o’-the wisp? On the utility of voluntary contributions of data and knowledge from the fishing industry to marine science

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

Published: Dec. 19, 2022

For future sustainable management of fisheries, we anticipate deeper and more diverse information will be needed. Future needs include not only biological data, but also that can come from fishers, such as real-time ‘early warning’ indicators changes at sea, socio-economic data fishing strategies. The industry, in our experience, shows clear willingness to voluntarily contribute experiential knowledge, there is little evidence current institutional frameworks for science are receptive equipped accommodate contributions. Current approaches producing knowledge support fisheries need critical re-evaluation, including the contributions industry make. Using examples well-developed advisory systems Europe, United States, Canada, Australia New Zealand, investigate three interrelated issues inhibiting systematic integration voluntary science: (1) concerns about quality; (2) beliefs limitations useability unique fishers’ knowledge; (3) perceptions impact on integrity science. We show whilst these real, they addressed. Entrenching effective science-industry research collaboration (SIRC) calls action specific areas; (i) a move towards alternative modes production; (ii) establishing appropriate quality assurance frameworks; (iii) transitioning facilitating governance structures. Attention must paid science-policy-stakeholder interface. Better definition industry’s role contributing improve credibility legitimacy scientific process, resulting management.

Language: Английский

---

Effects of sample size, data quality, and species response in environmental space on modeling species distributions

Landscape Ecology, Journal Year: 2023, Volume and Issue: 38(12), P. 4009 - 4031

Published: Oct. 6, 2023

Language: Английский

---

Predicting important fishing grounds for the small-scale fishery, based on Automatic Identification System records, catches, and environmental data

ICES Journal of Marine Science, Journal Year: 2024, Volume and Issue: 81(3), P. 453 - 469

Published: Feb. 8, 2024

Abstract Effective and sustainable management of small-scale fisheries (SSF) is challenging. We describe a novel approach to identify important fishing grounds for SSF, by implementing habitat modelling approach, using environmental predictors Automatic Identification System (AIS)-B data coupled with logbook First Sales Notes data, within the SE Bay Biscay. Fishing activity patterns catches longliners netters are used determine main characteristics grounds, implemented predict zones that fulfil similar across larger geographical extent. Generalized additive mixed models (GAMMs) were built 24 fish species, other and, thus, could be considered relevant species targeted each gear type. Most showed good prediction capacity. The included between one four predictor variables. ‘Depth mixing layer’ ‘benthic rocky habitat’ variables more frequently captured netter’s fleet. For longliners, ‘seafloor slope’ two most predictive maps provide information assist in marine spatial planning.

Language: Английский

---

When fishers guide scientific exploration: Case study with ‘ōpelu in Hawai‘i

Marine and Coastal Fisheries, Journal Year: 2025, Volume and Issue: 17(2)

Published: March 1, 2025

ABSTRACT Objective The Mackerel Scad Decapterus macarellus (hereafter, ‘ōpelu), a coastal pelagic carangid, is an important commercial, recreational, and cultural marine resource in Hawai‘i. Fishers often use ‘ōpelu as bait, for personal consumption, or to share sell. ‘Ōpelu form aggregations at specific locations repeatedly, referred ko‘a, which fishers observe fishing locations. Consequently, have deep understanding of these aggregation sites what makes ideal ‘ōpelu. To understand the environmental factors influencing behavior catchability, we combined fisher knowledge fishery-dependent data create model catch. Methods We interviewed 2021 about that influence catchability. then applied observations shared among commercial catch records (1997–2022) test predicted CPUE. Results Interviews 11 provided variety including lunar phase, season, ocean temperature. merged available streams into conducted statistical analysis using generalized additive with response variable. parsimonious indicated significant partial effects sea surface temperature, seasonality, El Niño–Southern Oscillation, Pacific Decadal phase. Conclusions Model results generally aligned interviews, mutually enhancing their contextual understanding. integration interviews modeling not only facilitated more insightful catchability but also allowed contribute perspectives research on fishery.

Language: Английский

---

A research toolbox for regional data collection to support the conservation of large batoids: A case study on the critically endangered flapper skate (Dipturus intermedius)

Conservation Science and Practice, Journal Year: 2025, Volume and Issue: unknown

Published: May 2, 2025

Abstract Elasmobranchs, specifically skate species (superorder Batoidea), are at risk of extinction, with over one‐third currently listed as Endangered, exacerbated due to their k‐selected life strategy. A regional conservation approach is required support the collection rigorous, species‐specific data alongside collaborative efforts across sectors and jurisdictions. Skate that extend beyond jurisdictional boundaries encounter additional complexities from divergent national legal frameworks, monitoring requirements, priorities, resulting in inconsistent collection. Here we present an innovative research “toolbox,” initially devised for Critically Endangered flapper ( Dipturus intermedius ) North‐East Atlantic, but applicable most demersal elasmobranchs. This toolbox offers a systematic (Why, What, Who, Where, When?) obtain critical information elasmobranchs, focus on standardization cross‐border collaboration. Recent advancements understanding ecology highlight potential initiatives, emphasizing importance coordinated actions, serve illustrative example within context “toolbox.”

Language: Английский

---

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

---

Bayesian feedback in the framework of ecological sciences

Ecological Informatics, Journal Year: 2024, Volume and Issue: unknown, P. 102858 - 102858

Published: Oct. 1, 2024

Language: Английский

---

Simulating Habitat Suitability Changes of Threadfin Porgy (Evynnis cardinalis) in the Northern South China Sea Using Ensemble Models Under Medium-to-Long-Term Future Climate Scenarios

Biology, Journal Year: 2025, Volume and Issue: 14(3), P. 236 - 236

Published: Feb. 26, 2025

The impact of global warming on fish distribution is a key factor in fishery management and sustainable development. However, limited knowledge exists regarding the influence environmental factors Evynnis cardinalis under climate change. This study addresses this gap by predicting species current conditions three future scenarios (SSP126, SSP370, SSP585) using five individual models four ensemble models. results demonstrate that outperform single models, with majority voting (EMca) achieving highest accuracy (ROC = 0.97, TSS 0.85). Bathymetry (BM) sea surface height (SSH) are primary influencing distribution. predictions indicate currently suitable habitats E. primarily located Beibu Gulf region northern South China Sea. Under scenarios, habitat areas expected to expand higher latitudes deeper waters, though highly western Guangdong coastal Gulf, southwestern offshore waters Hainan Island will significantly decrease.

Language: Английский

---