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Record W4399682862 · doi:10.1038/s44183-024-00068-4

Up to 80% of threatened and commercial species across European marine protected areas face novel climates under high emission scenario

2024· article· en· W4399682862 on OpenAlex
Milica Predragovic, Jorge Assis, U. Rashid Sumaila, Jorge M.S. Gonçalves, Christopher Cvitanovic, Bárbara Horta e Costa

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenpj Ocean Sustainability · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicCoral and Marine Ecosystems Studies
Canadian institutionsUniversity of British ColumbiaFisheries and Oceans Canada
FundersFundação para a Ciência e a TecnologiaBiodiversa+Centro de Ciências do MarFundación Bancaria Caixa d'Estalvis i Pensions de BarcelonaHORIZON EUROPE Framework Programme“la Caixa” Foundation
KeywordsMarine protected areaThreatened speciesClimate changeHabitatGeographyBiodiversityEnvironmental scienceEnvironmental resource managementOceanographyEcologyGeologyBiology

Abstract

fetched live from OpenAlex

Abstract Marine protected areas (MPAs) are a critical tool for safeguarding marine species and habitats for the future, though the effects of projected climate change raise concerns about their long-term success. Assessing the degree to which MPAs may be exposed to future novel climatic conditions is, therefore, crucial for informing conservation and management actions aimed at ensuring a resilient and thriving ocean in the years to come. Here, we evaluate the future exposure of 398 threatened and commercially important species to novel and extremely novel climatic conditions within European MPAs. We estimated climate novelty through multivariate analyses considering biologically meaningful distribution drivers of temperature, oxygen, pH, and primary productivity from present-day to the end of the 21st-century conditions under contrasting shared socioeconomic pathways (SSP) scenarios—low emission scenario (SSP1–1.9) and high emission scenario (SSP5–8.5). Our findings suggest that, under SSP1–1.9, ~6.5% of species and 0.5% of European MPAs will be at risk due to future novel conditions. In contrast, under SSP5–8.5, 87% of MPAs and 80% of species are projected to be at risk. Notably, up to 100% of species currently located in the MPAs of enclosed and semi-enclosed seas like the Baltic Sea and the Black Sea are projected to be exposed to novel or even extremely novel conditions. Virtually all species in most of those regions will be at risk, suggesting that even new MPAs might not be able to adequately protect them. Comparatively, the Norwegian Sea, North-East Atlantic, and western parts of the Mediterranean and North Seas are expected to be less impacted even under the high emission scenario. Overall, our study advances the understanding of the potential impacts of future climate change scenarios on threatened and commercially important marine species in European MPAs and reinforces the urgent need to meet the Paris Agreement. Our results suggest that existing approaches to marine governance in Europe may be insufficient for ensuring the success of MPAs in light of future impacts and that novel anticipatory forms of governance are needed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.730

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.257
Teacher spread0.242 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it