|
|
|
|
|
| Nielsen, J. Rasmus; Thunberg, Eric; Holland, Daniel S.; Schmidt, Jorn O.; Fulton, Elizabeth A.; Bastardie, Francois; Punt, Andre E.; Allen, Icarus; Bartelings, Heleen; Bertignac, Michel; Bethke, Eckhard; Bossier, Sieme; Buckworth, Rik; Carpenter, Griffin; Christensen, Asbjorn; Christensen, Villy; Da-rocha, Jose M.; Deng, Roy; Dichmont, Catherine; Doering, Ralf; Esteban, Aniol; Fernandes, Jose A.; Frost, Hans; Garcia, Dorleta; Gasche, Loic; Gascuel, Didier; Gourguet, Sophie; Groeneveld, Rolf A.; Guillen, Jordi; Guyader, Olivier; Hamon, Katell; Hoff, Ayoe; Horbowy, Jan; Hutton, Trevor; Lehuta, Sigrid; Little, L. Richard; Lleonart, Jordi; Macher, Claire; Mackinson, Steven; Mahevas, Stephanie; Marchal, Paul; Mato-amboage, Rosa; Mapstone, Bruce; Maynou, Francesc; Merzereaud, Mathieu; Palacz, Artur; Pascoe, Sean; Paulrud, Anton; Plaganyi, Eva; Prellezo, Raul; Van Putten, Elizabeth I.; Quaas, Martin; Ravn-jonsen, Lars; Sanchez, Sonia; Simons, Sarah; Thebaud, Olivier; Tomczak, Maciej T.; Ulrich, Clara; Van Dijk, Diana; Vermard, Youen; Voss, Rudi; Waldo, Staffan. |
| Marine ecosystems evolve under many interconnected and area-specific pressures. To fulfil society's intensifying and diversifying needs while ensuring ecologically sustainable development, more effective marine spatial planning and broader-scope management of marine resources is necessary. Integrated ecological–economic fisheries models (IEEFMs) of marine systems are needed to evaluate impacts and sustainability of potential management actions and understand, and anticipate ecological, economic and social dynamics at a range of scales from local to national and regional. To make these models most effective, it is important to determine how model characteristics and methods of communicating results influence the model implementation, the nature of the... |
| Tipo: Text |
Palavras-chave: Bio-economic models; Comparative model evaluation; Fisheries management advice; Integrated ecological-economic fisheries models; Marine spatial planning and cross-sector management; Performance criteria and scales and risks; Use and acceptance and implementation and communication and flexibility and complexity. |
| Ano: 2018 |
URL: https://archimer.ifremer.fr/doc/00391/50269/50898.pdf |
| |
|
|
| 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 |
| |
|
|
| Piroddi, Chiara; Coll, Marta; Liquete, Camino; Macias, Diego; Greer, Krista; Buszowski, Joe; Steenbeek, Jeroen; Danovaro, Roberto; Christensen, Villy. |
| The Mediterranean Sea has been defined "under siege" because of intense pressures from multiple human activities; yet there is still insufficient information on the cumulative impact of these stressors on the ecosystem and its resources. We evaluate how the historical (1950-2011) trends of various ecosystems groups/species have been impacted by changes in primary productivity (PP) combined with fishing pressure. We investigate the whole Mediterranean Sea using a food web modelling approach. Results indicate that both changes in PP and fishing pressure played an important role in driving species dynamics. Yet, PP was the strongest driver upon the Mediterranean Sea ecosystem. This highlights the importance of bottom-up processes in controlling the biological... |
| Tipo: Text |
|
| Ano: 2017 |
URL: https://archimer.ifremer.fr/doc/00625/73723/74900.pdf |
| |
|
|
| Bryndum-buchholz, Andrea; Prentice, Faelan; Tittensor, Derek P.; Blanchard, Julia L.; Cheung, William W.l.; Christensen, Villy; Galbraith, Eric D.; Maury, Olivier; Lotze, Heike K.; Favaro, Brett. |
| Under climate change, species composition and abundances in high-latitude waters are expected to substantially reconfigure with consequences for trophic relationships and ecosystem services. Outcomes are challenging to project at national scales, despite their importance for management decisions. Using an ensemble of six global marine ecosystem models we analyzed marine ecosystem responses to climate change from 1971 to 2099 in Canada’s Exclusive Economic Zone (EEZ) under four standardized emissions scenarios. By 2099, under business-as-usual emissions (RCP8.5) projected marine animal biomass declined by an average of −7.7% (±29.5%) within the Canadian EEZ, dominated by declines in the Pacific (−24% ± 24.5%) and Atlantic (−25.5% ± 9.5%) areas; these were... |
| Tipo: Text |
Palavras-chave: Climate change; Ensemble modeling; Marine ecosystem models; Canada Exclusive Economic Zone; Fish-MIP; Projection uncertainty. |
| Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00613/72464/71425.pdf |
| |
|
|
| Valls, Audrey; Coll, Marta; Christensen, Villy. |
| Various definitions and indices have been proposed in the literature to identify keystone species. In this study, we intended to make the concept of keystone species operational for marine biodiversity conservation. We used an exclusive definition of keystone species, based on the original concept of keystone predator, and derived a new functional index of keystoneness (KS) from an ecosystem-modeling approach. First, several KS indices were formulated, by combining measures of the mixed-trophic impact (MTI) and biomass of species. Then, a meta-analysis was performed, based on 101 published Ecopath food-web models, selected with a scoring method, and representative of the variety of marine ecosystems worldwide. The indices were applied to the models, and... |
| Tipo: Text |
Palavras-chave: Classification tree; Ecopath model; Food-web structure; Index of keystoneness; Keystone species; Marine ecosystems; Meta-analysis; Mixed-trophic impact; Rank correlation tests; Scoring method. |
| Ano: 2015 |
URL: https://archimer.ifremer.fr/doc/00627/73869/73736.pdf |
| |
|
| |
|
|
| Heymans, Johanna Jacomina; Coll, Marta; Link, Jason S.; Mackinson, Steven; Steenbeek, Jeroen; Walters, Carl; Christensen, Villy. |
| Ecopath with Ecosim (EwE) models are easier to construct and use compared to most other ecosystem modelling techniques and are therefore more widely used by more scientists and managers. This, however, creates a problem with quality assurance; to address this we provide an overview of best practices for creating Ecopath, models. We describe the diagnostics that can be used to check for thermodynamic and ecological principles, and highlight principles that should be used for balancing a model. We then highlight the pitfalls when comparing Ecopath models using Ecological Network Analysis indices. For dynamic simulations in Ecosim we show the state of the art in calibrating the model by fitting it to time series using a formal fitting procedure and... |
| Tipo: Text |
Palavras-chave: Ecopath with Ecosim; Ecological network analysis; Ecosystem modelling; Ecosystem-based management; Monte Carlo; Time series fitting. |
| Ano: 2016 |
URL: https://archimer.ifremer.fr/doc/00626/73763/74237.pdf |
| |
|
|
| Tittensor, Derek P.; Eddy, Tyler D.; Lotze, Heike K.; Galbraith, Eric D.; Cheung, William; Barange, Manuel; Blanchard, Julia L.; Bopp, Laurent; Bryndum-buchholz, Andrea; Buechner, Matthias; Bulman, Catherine; Carozza, David A.; Christensen, Villy; Coll, Marta; Dunne, John P.; Fernandes, Jose A.; Fulton, Elizabeth A.; Hobday, Alistair J.; Huber, Veronika; Jennings, Simon; Jones, Miranda; Lehodey, Patrick; Link, Jason S.; Mackinson, Steve; Maury, Olivier; Niiranen, Susa; Oliveros-ramos, Ricardo; Roy, Tilla; Schewe, Jacob; Shin, Yunne-jai; Silva, Tiago; Stock, Charles A.; Steenbeek, Jeroen; Underwood, Philip J.; Volkholz, Jan; Watson, James R.; Walker, Nicola D.. |
| Model intercomparison studies in the climate and Earth sciences communities have been crucial to building credibility and coherence for future projections. They have quantified variability among models, spurred model development, contrasted within- and among-model uncertainty, assessed model fits to historical data, and provided ensemble projections of future change under specified scenarios. Given the speed and magnitude of anthropogenic change in the marine environment and the consequent effects on food security, biodiversity, marine industries, and society, the time is ripe for similar comparisons among models of fisheries and marine ecosystems. Here, we describe the Fisheries and Marine Ecosystem Model Intercomparison Project protocol version 1.0... |
| Tipo: Text |
|
| Ano: 2018 |
URL: https://archimer.ifremer.fr/doc/00438/54988/75118.pdf |
| |
|
|
| Heymans, Johanna J.; Bundy, Alida; Christensen, Villy; Coll, Marta; De Mutsert, Kim; Fulton, Elizabeth A.; Piroddi, Chiara; Shin, Yunne-jai; Steenbeek, Jeroen; Travers-trolet, Morgane. |
| Tipo: Text |
Palavras-chave: Ocean Decade; Ecosystem modeling; Climate change; Ecosystem based management (EBM); Sustainable development goals (SDG). |
| Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00652/76379/77386.pdf |
| |
|
|
|
