Sabiia Seb
PortuguêsEspañolEnglish
Embrapa
        Busca avançada

Botão Atualizar


Botão Atualizar

Ordenar por: 

RelevânciaAutorTítuloAnoImprime registros no formato resumido
Registros recuperados: 7
Primeira ... 1 ... Última
Imagem não selecionada

Imprime registro no formato completo
Global ensemble projections reveal trophic amplification of ocean biomass declines with climate change ArchiMer
Lotze, Heike K.; Tittensor, Derek P.; Bryndum-buchholz, Andrea; Eddy, Tyler D.; Cheung, William W. L.; Galbraith, Eric D.; Barange, Manuel; Barrier, Nicolas; Bianchi, Daniele; Blanchard, Julia L; Bopp, Laurent; Buchner, Matthias; Bulman, Catherine M.; Carozza, David A.; Christensen, Villy; Coll, Marta; Dunne, John P.; Fulton, Elizabeth A.; Jennings, Simon; Jones, Miranda C.; Mackinson, Steve; Maury, Olivier; Niiranen, Susa; Oliveros-ramos, Ricardo; Roy, Tilla; Fernandes, Jose A.; Schewe, Jacob; Shin, Yunne-jai; Silva, Tiago A. M.; Steenbeek, Jeroen; Stock, Charles A.; Verley, Philippe; Volkholz, Jan; Walker, Nicola D.; Worm, Boris.
While the physical dimensions of climate change are now routinely assessed through multimodel intercomparisons, projected impacts on the global ocean ecosystem generally rely on individual models with a specific set of assumptions. To address these single-model limitations, we present standardized ensemble projections from six global marine ecosystem models forced with two Earth system models and four emission scenarios with and without fishing. We derive average biomass trends and associated uncertainties across the marine food web. Without fishing, mean global animal biomass decreased by 5% (+/- 4% SD) under low emissions and 17% (+/- 11% SD) under high emissions by 2100, with an average 5% decline for every 1 degrees C of warming. Projected biomass...
Tipo: Text Palavras-chave: Climate change impacts; Marine food webs; Global ecosystem modeling; Model intercomparison; Uncertainty.
Ano: 2019 URL: https://archimer.ifremer.fr/doc/00659/77125/78507.pdf
Imagem não selecionada

Imprime registro no formato completo
Let more big fish sink: Fisheries prevent blue carbon sequestration—half in unprofitable areas ArchiMer
Mariani, Gaël; Cheung, William W. L.; Lyet, Arnaud; Sala, Enric; Mayorga, Juan; Velez, Laure; Gaines, Steven D.; Dejean, Tony; Troussellier, Marc; Mouillot, David.
Contrary to most terrestrial organisms, which release their carbon into the atmosphere after death, carcasses of large marine fish sink and sequester carbon in the deep ocean. Yet, fisheries have extracted a massive amount of this “blue carbon,” contributing to additional atmospheric CO2 emissions. Here, we used historical catches and fuel consumption to show that ocean fisheries have released a minimum of 0.73 billion metric tons of CO2 (GtCO2) in the atmosphere since 1950. Globally, 43.5% of the blue carbon extracted by fisheries in the high seas comes from areas that would be economically unprofitable without subsidies. Limiting blue carbon extraction by fisheries, particularly on unprofitable areas, would reduce CO2 emissions by burning less fuel and...
Tipo: Text
Ano: 2020 URL: https://archimer.ifremer.fr/doc/00658/77008/78264.pdf
Imagem não selecionada

Imprime registro no formato completo
Uncertainties in projecting climate-change impacts in marine ecosystems ArchiMer
Payne, Mark R.; Barange, Manuel; Cheung, William W. L.; Mackenzie, Brian R.; Batchelder, Harold P.; Cormon, Xochitl; Eddy, Tyler D.; Fernandes, Jose A.; Hollowed, Anne B.; Jones, Miranda C.; Link, Jason S.; Neubauer, Philipp; Ortiz, Ivonne; Queirós, Ana M.; Paula, José Ricardo.
Projections of the impacts of climate change on marine ecosystems are a key prerequisite for the planning of adaptation strategies, yet they are inevitably associated with uncertainty. Identifying, quantifying, and communicating this uncertainty is key to both evaluating the risk associated with a projection and building confidence in its robustness. We review how uncertainties in such projections are handled in marine science. We employ an approach developed in climate modelling by breaking uncertainty down into (i) structural (model) uncertainty, (ii) initialization and internal variability uncertainty, (iii) parametric uncertainty, and (iv) scenario uncertainty. For each uncertainty type, we then examine the current state-of-the-art in assessing and...
Tipo: Text Palavras-chave: Climate change; Initialization uncertainty; Parametric uncertainty; Projections; Scenario uncertainty; Structural uncertainty; Uncertainty..
Ano: 2016 URL: http://archimer.ifremer.fr/doc/00301/41220/40392.pdf
Imagem não selecionada

Imprime registro no formato completo
Escaping the perfect storm of simultaneous climate change impacts on agriculture and marine fisheries ArchiMer
Thiault, Lauric; Mora, Camilo; Cinner, Joshua E.; Cheung, William W. L.; Graham, Nicholas A. J.; Januchowski-hartley, Fraser A.; Mouillot, David; Sumaila, U. Rashid; Claudet, Joachim.
Climate change can alter conditions that sustain food production and availability, with cascading consequences for food security and global economies. Here, we evaluate the vulnerability of societies to the simultaneous impacts of climate change on agriculture and marine fisheries at a global scale. Under a “business-as-usual” emission scenario, ~90% of the world’s population—most of whom live in the most sensitive and least developed countries—are projected to be exposed to losses of food production in both sectors, while less than 3% would live in regions experiencing simultaneous productivity gains by 2100. Under a strong mitigation scenario comparable to achieving the Paris Agreement, most countries—including the most vulnerable and many of the largest...
Tipo: Text
Ano: 2019 URL: https://archimer.ifremer.fr/doc/00597/70939/69179.pdf
Imagem não selecionada

Imprime registro no formato completo
Climate Change-Induced Emergence of Novel Biogeochemical Provinces ArchiMer
Reygondeau, Gabriel; Cheung, William W. L.; Wabnitz, Colette C. C.; Lam, Vicky W. Y.; Frölicher, Thomas; Maury, Olivier.
The global ocean is commonly partitioned into 4 biomes subdivided into 56 biogeochemical provinces (BGCPs) following the accepted division proposed by Longhurst in 1998. Each province corresponds to a unique regional environment that shapes biodiversity and constrains ecosystem structure and functions. Biogeochemical provinces are dynamic entities that change their spatial extent and position with climate and are expected to be perturbated in the near future by global climate change. Here, we characterize the changes in spatial distribution of BGCPs from 1950 to 2100 using three earth system models under two representative concentration pathways (RCP 2.6 and 8.5). We project a reorganization of the current distribution of BGCPs driven mostly by a poleward...
Tipo: Text Palavras-chave: Physical oceanography; Marine biogeography; Pelagic environment; Novel ocean climate; Environmental niche model.
Ano: 2020 URL: https://archimer.ifremer.fr/doc/00654/76611/77762.pdf
Imagem não selecionada

Imprime registro no formato completo
An iron cycle cascade governs the response of equatorial Pacific ecosystems to climate change ArchiMer
Tagliabue, Alessandro; Barrier, Nicolas; Du Pontavice, Hubert; Kwiatkowski, Lester; Aumont, Olivier; Bopp, Laurent; Cheung, William W. L.; Gascuel, Didier; Maury, Olivier.
Earth System Models project that global climate change will reduce ocean net primary production (NPP), upper trophic level biota biomass and potential fisheries catches in the future, especially in the eastern equatorial Pacific. However, projections from Earth System Models are undermined by poorly constrained assumptions regarding the biological cycling of iron, which is the main limiting resource for NPP over large parts of the ocean. In this study, we show that the climate change trends in NPP and the biomass of upper trophic levels are strongly affected by modifying assumptions associated with phytoplankton iron uptake. Using a suite of model experiments, we find 21st century climate change impacts on regional NPP range from −12.3% to +2.4% under a...
Tipo: Text Palavras-chave: Climate change; Iron; Marine ecosystems; Net primary production; Ocean.
Ano: 2020 URL: https://archimer.ifremer.fr/doc/00652/76417/77470.pdf
Imagem não selecionada

Imprime registro no formato completo
Predicting the Impact of Climate Change on Threatened Species in UK Waters ArchiMer
Jones, Miranda C.; Dye, Stephen R.; Fernandes, Jose A.; Froelicher, Thomas L.; Pinnegar, John K.; Warren, Rachel; Cheung, William W. L..
Global climate change is affecting the distribution of marine species and is thought to represent a threat to biodiversity. Previous studies project expansion of species range for some species and local extinction elsewhere under climate change. Such range shifts raise concern for species whose long-term persistence is already threatened by other human disturbances such as fishing. However, few studies have attempted to assess the effects of future climate change on threatened vertebrate marine species using a multi-model approach. There has also been a recent surge of interest in climate change impacts on protected areas. This study applies three species distribution models and two sets of climate model projections to explore the potential impacts of...
Tipo: Text
Ano: 2013 URL: https://archimer.ifremer.fr/doc/00120/23104/20952.pdf
Registros recuperados: 7
Primeira ... 1 ... Última
 

Empresa Brasileira de Pesquisa Agropecuária - Embrapa
Todos os direitos reservados, conforme Lei n° 9.610
Política de Privacidade
Área restrita

Embrapa
Parque Estação Biológica - PqEB s/n°
Brasília, DF - Brasil - CEP 70770-901
Fone: (61) 3448-4433 - Fax: (61) 3448-4890 / 3448-4891 SAC: https://www.embrapa.br/fale-conosco

Valid HTML 4.01 Transitional