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Haraldsson, Matilda; Raoux, Aurore; Riera, Fabien; Hay, Julien; Dambacher, Jeffrey M.; Niquil, Nathalie. |
Models of social-ecological systems (SES) are acknowledged as an important tool to understand human-nature relations. However, many SES models fail to integrate adequate information from both the human and ecological subsystems. With an example model of a future Offshore Wind Farm development and its effects on both the ecosystem and local human population, we illustrate a method facilitating a “balanced” SES model, in terms of including information from both subsystems. We use qualitative mathematical modeling, which allows to quickly analyze the structure and dynamics of a system without including quantitative data, and therefore to compare alternative system structures based on different understandings of how the system works. By including similar... |
Tipo: Text |
Palavras-chave: Network; Renewable energy; Eastern English channel; Perception; Qualitative modeling; Acceptance. |
Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00631/74300/73944.pdf |
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Alexandridis, Nikolaos; Dambacher, Jeffrey M.; Jean, Fred; Desroy, Nicolas; Bacher, Cedric. |
In order to better understand and predict the dynamics of benthic macroinvertebrate communities, we need to first define the functional components of benthic biodiversity and then provide a mechanistic description of how they interact with their abiotic environment, their basic resources and each other. These interactions should be largely controlled by readily available biological traits, making trait-based modelling an ideal framework for the synthesis of relevant hypotheses from ecological theory and expert knowledge. With the help of benthic species traits, we derived a set of first principles regarding the role of organisms in processes of environmental filtering, consumption of algae/detritus, predation, use of space, biogenic habitat modification... |
Tipo: Text |
Palavras-chave: Benthic macroinvertebrates; Biological traits; Biotic interactions; Community assembly; Functional groups; Qualitative modelling. |
Ano: 2017 |
URL: http://archimer.ifremer.fr/doc/00394/50587/51411.pdf |
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