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Making ecological indicators management ready: Assessing the specificity, sensitivity, and threshold response of ecological indicators ArchiMer
Fu, Caihong; Xu, Yi; Bundy, Alida; Grüss, Arnaud; Coll, Marta; Heymans, Johanna J.; Fulton, Elizabeth A.; Shannon, Lynne; Halouani, Ghassen; Velez, Laure; Akoğlu, Ekin; Lynam, Christopher P.; Shin, Yunne-jai.
Moving toward ecosystem-based fisheries management (EBFM) necessitates a suite of ecological indicators that are responsive to fishing pressure, capable of tracking changes in the state of marine ecosystems, and related to management objectives. In this study, we employed the gradient forest method to assess the performance of 14 key ecological indicators in terms of specificity, sensitivity and the detection of thresholds for EBFM across ten marine ecosystems using four modelling frameworks (Ecopath with Ecosim, OSMOSE, Atlantis, and a multi-species size-spectrum model). Across seven of the ten ecosystems, high specificity to fishing pressure was found for most of the 14 indicators. The indicators biomass to fisheries catch ratio (B/C), mean lifespan and...
Tipo: Text Palavras-chave: Ecological modelling; Fishing pressure; Gradient forest method; Indictor performance; Marine ecosystem; Primary productivity.
Ano: 2019 URL: https://archimer.ifremer.fr/doc/00500/61148/64576.pdf
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Responses of ecological indicators to fishing pressure under environmental change: exploring non-linearity and thresholds ArchiMer
Fu, Caihong; Xu, Yi; Grüss, Arnaud; Bundy, Alida; Shannon, Lynne; Heymans, Johanna J; Halouani, Ghassen; Akoglu, Ekin; Lynam, Christopher P; Coll, Marta; Fulton, Elizabeth A; Velez, Laure; Shin, Yunne-jai.
Marine ecosystems are influenced by multiple stressors in both linear and non-linear ways. Using generalized additive models (GAMs) fitted to outputs from a multi-ecosystem, multi-model simulation experiment, we investigated 14 major ecological indicators across ten marine ecosystems about their responses to fishing pressure under: (i) three different fishing strategies (focusing on low-, high-, or all-trophic-level taxa); and (ii) four different scenarios of directional or random primary productivity change, a proxy for environmental change. From this work, we draw four major conclusions: (i) responses of indicators to fishing mortality in shapes, directions, and thresholds depend on the fishing strategies considered; (ii) most of the indicators...
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Ano: 2019 URL: https://archimer.ifremer.fr/doc/00516/62749/67138.pdf
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The Celtic Sea Through Time and Space: Ecosystem Modeling to Unravel Fishing and Climate Change Impacts on Food-Web Structure and Dynamics ArchiMer
Hernvann, Pierre-yves; Gascuel, Didier; Grüss, Arnaud; Druon, Jean-noël; Kopp, Dorothee; Perez, Ilan; Piroddi, Chiara; Robert, Marianne.
Both trophic structure and biomass flow within marine food webs are influenced by the abiotic environment and anthropogenic stressors such as fishing. The abiotic environment has a large effect on species spatial distribution patterns and productivity and, consequently, spatial co-occurrence between predators and prey, while fishing alters species abundances and food-web structure. In order to disentangle the impacts of the abiotic environment and fishing in the Celtic Sea ecosystem, we developed a spatio-temporal trophic model, specifically an Ecopath with Ecosim with Ecospace model, for the period 1985–2016. In this model, particular attention was paid to the parameterization of the responses of all trophic levels to abiotic environmental changes....
Tipo: Text Palavras-chave: Celtic Sea; Ecosystem modeling; Habitat model; Environment; Ecopath with Ecosim and Ecospace; Primary production; Fishing impact.
Ano: 2020 URL: https://archimer.ifremer.fr/doc/00662/77419/79084.pdf
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The Cumulative Effects of Fishing, Plankton Productivity, and Marine Mammal Consumption in a Marine Ecosystem ArchiMer
Fu, Caihong; Xu, Yi; Guo, Chuanbo; Olsen, Norm; Grüss, Arnaud; Liu, Huizhu; Barrier, Nicolas; Verley, Philippe; Shin, Yunne-jai.
The marine ecosystem off British Columbia (BC), Canada, has experienced various changes in the last two decades, including reduced lipid-rich zooplankton biomass, increased marine mammals, and deteriorated commercial fisheries, particularly those targeting pelagic species such as Pacific Herring (Clupea pallasii). Understanding how stressors interactively and cumulatively affect commercially important fish species is key to moving toward ecosystem-based fisheries management. Because it is challenging to assess the cumulative effects of multiple stressors by using empirical data alone, a dynamic, individual-based spatially explicit ecosystem modeling platform such as Object-oriented Simulator of Marine Ecosystems (OSMOSE) represents a valuable tool to...
Tipo: Text Palavras-chave: Cumulative effect; Ecosystem-based fisheries management; Ecological indicator; Ecosystem modeling; Synergism.
Ano: 2020 URL: https://archimer.ifremer.fr/doc/00654/76615/77768.pdf
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