An individual-based model for simulating the ecosystem dynamics of Jiaozhou Bay, China

Xing, Lei; Zhang, Chongliang; Yong, Chen; Shin, Yunne-Jaï; Verley, Philippe; Yu, Haiqing; Ren, Yiping

doi:10.1016/j.ecolmodel.2017.06.010

Cited by 14 publications

(46 citation statements)

References 48 publications

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“…The OSMOSE model has been used to assess the impacts of both fishing and climate change scenarios on marine food web functioning and species resilience in different types of ecosystems such as upwelling (Southern Benguela and Humboldt), temperate (Canadian west coast and Jiaozhou Bay), Mediterranean (Gulf of Gabès and Gulf of Lion) and subtropical ecosystems (West Florida shelf) (Fu et al, 2013;Grüss et al, 2015;Halouani et al, 2016;Marzloff et al, 2009;Travers et al, 2009;Xing et al, 2017). OSMOSE is a size-based multispecies trophic model that focuses on high trophic levels, mainly fish species.…”

Section: The High Trophic Level (Htl) Model Osmosementioning

confidence: 99%

Capturing the big picture of Mediterranean marine biodiversity with an end-to-end model of climate and fishing impacts

Moullec

Velez

Verley

et al. 2019

Progress in Oceanography

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The Mediterranean Sea is one of the main hotspots of marine biodiversity in the world. The combined pressures of fishing activity and climate change have also made it a hotspot of global change amidst increasing concern about the worsening status of exploited marine species. To anticipate the impacts of global changes in the Mediterranean Sea, more integrated modelling approaches are needed, which can then help policymakers prioritize management actions and formulate strategies to mitigate impacts and adapt to changes. The aim of this study was to develop a holistic model of marine biodiversity in the Mediterranean Sea with an explicit representation of the spatial, multispecies dynamics of exploited resources subject to the combined influence of climate variability and fishing pressure. To this end, we used the individual-based OSMOSE model (Object-oriented Simulator of Marine ecOSystEms), including 100 marine species (fish, cephalopods and crustaceans) representing about 95% of the total declared catch, at a high spatial resolution (400 km2) and a large spatial scale (the entire Mediterranean basin)the first time such a resolution and scale have been modelled. We then combined OSMOSE with the NEMOMED 12 physical model and the Eco3M-S biogeochemical low trophic level model to build the endto-end model, OSMOSE-MED. We fitted OSMOSE-MED model with observed or estimated biomass and commercial catch data using a likelihood approach and an evolutionary optimization algorithm. The outputs of OSMOSE-MED were then verified against observed biomass and catch data, and compared with independent datasets (MEDITS data, diet composition and trophic levels). The model resultsat different hierarchical levels, from individuals to the scale of the ecosystemwere consistent with current knowledge of the structure, functioning and dynamics of the ecosystems in the Mediterranean Sea. While the model could be further improved in future iterations, all the modelling stepsthe comprehensive representation of key ecological processes and feedback, the selective parameterization of the model, and the comparison with observed data in the validation processstrengthened the predictive performance of OSMOSE-MED and thus its relevance as an impact model to explore the future of marine biodiversity under scenarios of global change. It is a promising tool to support ecosystem-based fishery management in the Mediterranean Sea. Highlights ► An End-to-End model (OSMOSE-MED) was built at the whole Mediterranean scale. ► One hundred marine species, representing 95 % of total declared catches, were embedded. ► OSMOSE-MED was fitted to observed and estimated data of biomass and catch. ► Results were consistent with current knowledge and observations on the system. ► The model can be used in support to fisheries management and biodiversity conservation.

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Section: The High Trophic Level (Htl) Model Osmosementioning

confidence: 99%

Capturing the big picture of Mediterranean marine biodiversity with an end-to-end model of climate and fishing impacts

Moullec

Velez

Verley

et al. 2019

Progress in Oceanography

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“…OSMOSE was initially developed for simulating the life cycle of individual focal species rather than that of focal functional groups (Shin, 2000;Shin andCury, 2001a, 2004). Existing OSMOSE applications represent focal species (e.g., Marzloff et al, 2009;Halouani et al, 2016), focal functional groups (e.g., Brochier et al, 2013;Grüss et al, 2015), or a mix of the two (e.g., Oliveros- Ramos et al, 2017;Xing et al, 2017). Our web application initially defines focal functional groups for the user, but let the user the possibility to define only focal species for their OSMOSE model if they wish (see Subsection 2.3.2).…”

Section: The Osmose Modeling Platformmentioning

confidence: 99%

“…OSMOSE has gone through three versions, and the last version itself has gone through two updates ("OSMOSE v3u1" and ("OSMOSE v3u2") (Table 1). OSMOSE has served to address various EBFM questions, including the consequences of fishing scenarios on the structure and functioning of marine ecosystems Marzloff et al, 2009;Smith et al, 2011Smith et al, , 2015, the effects of marine protected areas (MPAs) (Shin and Cury, 2001b;Yemane et al, 2009;Brochier et al, 2013), the impacts of environmental changes in fisheries systems (Fu et al, 2012(Fu et al, , 2013Travers-Trolet et al, 2014b), the sensitivity of ecological indicators and their specificity to fishing (Reed et al, 2017;Fu et al, 2018;Shin et al, 2018;Halouani et al, 2019), the estimation of predation mortality rates Travers et al, 2009;Grüss et al, 2015Grüss et al, , 2016cXing et al, 2017), and management strategy evaluation (MSE) in an ecosystem context (Grüss et al, 2016b).…”

Section: The Osmose Modeling Platformmentioning

confidence: 99%

“…West Florida Shelf ecosystem for the 2000s period (Grüss et al, 2016b), Gulf of Gabes in Tunisia for the 2000s period (Halouani et al, 2016(Halouani et al, , 2019, Humboldt for the period 1992-2008 (Oliveros- Ramos et al, 2017), west coast of Canada for the period 1950-2014 (Fu et al, 2017), Jiaozhou Bay in China for the 2000s period (Xing et al, 2017) The version of OSMOSE considered in the present study is the latest one, i.e.…”

Section: Osmose V3u2mentioning

confidence: 99%

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Building bridges between global information systems on marine organisms and ecosystem models

Grüss

Palomares

Poelen³

et al. 2019

Ecological Modelling

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To facilitate the wider implementation of ecosystem modeling platforms and, thereby, to help advance ecosystem-based fisheries management (EBFM) worldwide, tools delivering a large quantity of inputs to ecosystem models are needed. We developed a web application providing OSMOSE ecosystem models with values for trophic, growth and reproduction parameters derived from data from two global information systems (FishBase and SeaLifeBase). Our web application guides the user through simple queries to extract information from FishBase and SeaLifeBase data archives, and it delivers all the configuration files necessary for running an OSMOSE model. Here, we present our web application and demonstrate it for the West Florida Shelf ecosystem. Our software architecture can serve as a basis for designing other advanced web applications using FishBase and SeaLifeBase data in support of EBFM. Highlights► We designed a web application providing parameter values to OSMOSE ecosystem models. ► These parameter values are derived from data from FishBase and SeaLifeBase. ► Our web application couples a user interface and an application programming interface. ► It delivers all the configuration files necessary for running an OSMOSE model. ► Other web applications supporting management can be designed with our framework.

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“…We focus on the management strategy that controls fishing effort on target species. Based on a developed end-to-end model OSMOSE-JZB (Object-oriented Simulator of Marine ecOSystEms; OSMOSE) (Xing et al, 2017), we evaluated the impacts of trophic interactions on the effectiveness of managing two commercial species (Oratosquilla oratoria and Sebastes schlegelii) characterized by different growth traits in the Jiaozhou Bay, China. Our analysis can improve our understanding of how varying trophic interaction influences the effectiveness of managing target species.…”

Section: Introductionmentioning

confidence: 99%

Evaluating Impacts of Trophic Interactions on the Effectiveness of Single-Species Fisheries Management

et al. 2021

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Single-species fisheries management (SSFM) is applied to many fisheries ecosystems around the world. The associated ecological impacts are usually not well understood due to the lack of considering trophic interactions among species in the ecosystem. This impedes the implementation of SSFM in an ecosystem context and reduces our ability to understand the possible ecological impacts of fishing activities. This study focuses on two economically important species in the Jiaozhou Bay, China: the short-lived, fast-growing, and relatively abundant Japanese mantis shrimp (Oratosquilla oratoria) and the long-lived, slow-growing, and less abundant Korean rockfish (Sebastes schlegelii). We evaluated how varying trophic interactions influenced O. oratoria and S. schlegelii (i.e., target-species) who were managed under constant fishing pressure. The increase of fishing pressure to other species (i.e., non-target species) was beneficial to O. oratoria and S. schlegelii. O. oratoria was more sensitive to the decrease of fishing pressure to other species. The predation mortality of age-0 O. oratoria increased with the increased fishing pressure to other species. The predation mortality of age-1 O. oratoria and age-0 S. schlegelii had negative relationships with the fishing pressure to other species. Age-1 S. schlegelii seemed not to be sensitive to the changes in trophic interactions. The predation mortality of O. oratoria and S. schlegelii had bigger changes than the starvation mortality after fishing changed. It suggested the prey-predator relationship had a bigger impact than the food competition. The increase of high-trophic-level fish Johnius belangerii fishery positively impacted O. oratoria, but negatively impacted S. schlegelii. S. schlegelii was more sensitive to the changes of the low-trophic-level fish Pholis fangi fishery. Given the complex dynamics of ecosystems, this study highlights the importance of species-specific responses of fishes to shifting trophic interactions in fisheries management.

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An individual-based model for simulating the ecosystem dynamics of Jiaozhou Bay, China

Cited by 14 publications

References 48 publications

Capturing the big picture of Mediterranean marine biodiversity with an end-to-end model of climate and fishing impacts

Capturing the big picture of Mediterranean marine biodiversity with an end-to-end model of climate and fishing impacts

Building bridges between global information systems on marine organisms and ecosystem models

Evaluating Impacts of Trophic Interactions on the Effectiveness of Single-Species Fisheries Management

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