Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

The High Value of Climate Mitigation in Limiting Global Fish Biomass Losses to the year 23

Bibliographic Data

ID19060441
AuthorsKeith B Rodgers (0000-0002-6465-8923, Tohoku University, corresponding author), Daniele Bianchi (0000-0002-6621-0858, UCLA Health), Olivier Aumont (0000-0003-3954-506X, Institut de Recherche Dupuy de Lôme), Julia L Blanchard (0000-0003-0532-4824, University of Tasmania), Julia Blanchard, Leon Bopp (0000-0003-4732-4953, École Normale Supérieure - PSL, corresponding author), Matthias Büchner (0000-0002-1382-7424, Potsdam Institute for Climate Impact Research), William W L Cheung (0000-0001-9998-0384), William Cheung (0000-0001-7853-4393, University of British Columbia, corresponding author), Jason D Everett (0000-0002-6681-8054), Jason Everett (The University of Queensland, corresponding author), Vianney Guibourd de Luzinais (0000-0001-9071-6069, Institut Agro Rennes-Angers), Jérôme Guiet (0000-0002-2146-5160, UCLA Health), Ryan Heneghan (0000-0001-7626-1248, Griffith University), Simeon Hill (British Antarctic Survey), Michio Kawamiya (0000-0001-7553-0522, Japan Agency for Marine-Earth Science and Technology), Zhen Lin (0009-0006-9883-5007, Tohoku University), Kieran Murphy (0000-0002-5944-0014, University of Tasmania), Juliano Palacios‐Abrantes (0000-0001-8969-5416, University of British Columbia, corresponding author), Colleen M Petrik (0000-0003-3253-0455, Scripps Laboratories (United States)), Colleen Petrik, Anthony Richardson (0000-0002-1429-9870, The University of Queensland), Ryohei Yamaguchi (0000-0002-7800-5798, Japan Agency for Marine-Earth Science and Technology), Andrew Yool (0000-0002-9879-2776, National Oceanography Centre, corresponding author), Fish biomass projections to
Year2026
Publication date2026-03-14
Peer ReviewedYes
Open AccessNo
TypeARTICLE
PublisherCopernicus GmbH (PUBLISHER • DE)
DOI10.5194/egusphere-egu26-15681
OpenAlexW7135221508
LanguageEN

It is widely understood that future climate change will have large deleterious impacts on marine ecosystems. Large synthesis efforts conducted to date by FishMIP with higher trophic level (HTL) models have shown that under high emissions scenarios, future fish biomass losses of the order of 20% can be expected by 2100. However, the impact of anthropogenic climate change beyond 2100 remains largely unexplored, even though policy choices made now will have implications over multiple centuries. Here we identify to 2300 the degree to which Marine Ecosystem Models (MEMs) driven offline with ESMs under CMIP forcing protocols provide consistent projections of fish biomass changes, under an approximately 2°C climate stabilization scenario (SSP1-2.6), and we also assess the value of climate stabilization at 2°C relative to a high emissions future (SSP5-8.5). The value of mitigation is identified by defining mitigation gain as the difference in fish biomass losses between the low emissions (SSP1-2.6) and high emissions (SSP5-8.5) scenarios, using a total of 18 climate realizations under each scenario. We highlight two main findings. First, we identify that under approximately 2°C stabilization, by 2300, forced ensemble-mean (average of 18 realizations) changes in fish biomass are not regionally emergent above the 90% confidence interval defined by inter-model disagreement. This is important, as it means that the fish modeling community cannot yet estimate the regional vulnerability of fish communities to climate perturbations under a 2°C target that rise above model structural uncertainty, or by implication under a more stringent 1.5°C target. This is due to model structural uncertainties found in both ESMs and MEMs. Second, the models are nevertheless able at 90% confidence intervals to demonstrate mitigation gain (the difference between results under SSP1-2.6 and SSP5-8.5 forcing) under 2°C stabilization over more than half the global domain by 2300. This second main result offers potentially important value in informing efforts towards sustainable development goals. We discuss the broader implications of these findings

Climate change · Climate change mitigation · Climate model · Ecosystem · Fish · Limiting · Coastal and Marine Management · Marine and fisheries research · Marine Bivalve and Aquaculture Studies

Citation velocityhistorical
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae