2018
DOI: 10.1126/science.aao6379
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Sustained climate warming drives declining marine biological productivity

Abstract: Climate change projections to the year 2100 may miss physical-biogeochemical feedbacks that emerge later from the cumulative effects of climate warming. In a coupled climate simulation to the year 2300, the westerly winds strengthen and shift poleward, surface waters warm, and sea ice disappears, leading to intense nutrient trapping in the Southern Ocean. The trapping drives a global-scale nutrient redistribution, with net transfer to the deep ocean. Ensuing surface nutrient reductions north of 30°S drive stea… Show more

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Cited by 320 publications
(353 citation statements)
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“…Indeed, longer term projections of changes in ocean ecosystems until 2300 suggest a strong decline in ocean productivity in the Northern Hemisphere and its shift toward the Southern Ocean (Moore et al, 2018; (Figure 3)). In the Arctic, the projected late 21st-century biomass decline under RCP8.5 was concurrent with a projected 20% decline in NPP during that period, likely attributed to enhanced stratification due to changes in water temperature and salinity with melting sea ice and permafrost (Fu et al, 2016).…”
Section: Ensemble Projections In Different Ocean Basinsmentioning
confidence: 99%
See 1 more Smart Citation
“…Indeed, longer term projections of changes in ocean ecosystems until 2300 suggest a strong decline in ocean productivity in the Northern Hemisphere and its shift toward the Southern Ocean (Moore et al, 2018; (Figure 3)). In the Arctic, the projected late 21st-century biomass decline under RCP8.5 was concurrent with a projected 20% decline in NPP during that period, likely attributed to enhanced stratification due to changes in water temperature and salinity with melting sea ice and permafrost (Fu et al, 2016).…”
Section: Ensemble Projections In Different Ocean Basinsmentioning
confidence: 99%
“…Major biological changes in the structure and functioning of marine ecosystems have been associated with changing climates both in the past (e.g., Harnik et al, 2012;Yasuhara & Danovaro, 2016) and in future projections (e.g., Cheung et al, 2009;Pecl et al, 2017;Worm & Lotze, 2016). These include changes in ocean productivity (Boyce, Lewis, & Worm, 2010;Moore et al, 2018) and species distribution and abundance (Cheung et al, 2009;Lefort et al, 2015;Perry, 2005;Pinsky, Worm, Fogarty, Sarmiento, & Levin, 2013) at local to global scales. Over the coming century, these changes will have significant consequences for marine ecosystem structure and functioning as well as for ecosystem goods and services, such as the provisioning of food from fisheries and aquaculture, the production of oxygen, and storage of anthropogenic carbon (Pörtner et al, 2014;Vichi et al, 2011).…”
Section: Introductionmentioning
confidence: 99%
“…Thus, while the available field and laboratory data for the Si:N uptake ratio has too much scatter to single out one of the parameterizations as being the most realistic, and all three Si:P parameterizations allow equally good fits to the current nutrient climatologies, the 30 Si response argues that the EXP1 and Global Biogeochemical Cycles 10.1029/2019GB006460 EXP2 cases are more realistic that the HYPR case. Our results underscore the importance of constraining the iron dependence of the diatom Si:N uptake ratio, and of accurately representing this dependence in ocean biogeochemical models, not only to assess the SALH but also to predict the future response of ocean productivity to changes in iron cycling (e.g., Moore et al, 2018). In future work, we plan to investigate the role of circulation changes (e.g., Crosta et al, 2007) in controlling silicic acid leakage and its Si isotopic signature.…”
Section: 1029/2019gb006460mentioning
confidence: 63%
“…Regions that are most at risk from combined fishing‐climate change impacts are social‐economically or politically vulnerable to negative impacts on living marine resources. For example, fisheries of the small islands development states in the Caribbean Sea, central, and south Pacific Ocean, as well as countries along the West African coast, which are identified as high risk regions here, are considered to have high vulnerability to climate change impacts because of their high dependence on the oceans for food and livelihood while adaptive capacity to manage such impacts are low (Lam et al., ; Monnereau et al., ). In addition, high sea regions such as the central Atlantic and South Pacific were also identified as having high risk of fishing‐climate change impacts.…”
Section: Discussionmentioning
confidence: 99%