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This dataset includes the model developed by the H2020 COASTAL project’s MAL #4 for the Charente River basin and its coastal zone. It also includes the data necessary to perform model simulations and the data representing three development scenarios co-designed with local stakeholders to envision possible futures of the territory (cf. https://doi.org/10.5281/zenodo.7074941). The model, developed in system dynamics language (software Vensim), simulates the interactions between water management, shellfish farming, agriculture, population & tourism, and infrastructure development around their common water resource and under the influence of external uncertainties (climate and agricultural prices). The model was designed in order to identify and improve possible land-sea synergies between these activities, with the aim to reach a sustainable, robust and desirable future for the territory.
Water, Agriculture, Scenario, Aquaculture, System dynamics, Development, Tourism, FOS: Economics and business, MAL4, Synergy, Land-sea interaction, Coastal, Policy, Climate change, Rural, Road map, Participatory, VenSim, Charente, Model
Water, Agriculture, Scenario, Aquaculture, System dynamics, Development, Tourism, FOS: Economics and business, MAL4, Synergy, Land-sea interaction, Coastal, Policy, Climate change, Rural, Road map, Participatory, VenSim, Charente, Model
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 9 |

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