The blue mussel Mytilus edulis as an indicator species for modelling marine connectivity in Scotland

蓝贻贝（Mytilus edulis）作为苏格兰海洋连通性建模的指示物种

• 批准号: 2722147
• 金额: --
• 依托单位: University of Stirling
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2722147
• 关键词: blue; mussel; Mytilus; edulis; indicator

Mussels provide a range of ecosystem services, however populations are declining, with potential stressors including ocean acidification, global warming, and changing predator-prey dynamics. It is crucial to understand the resilience of this key species, its ability to recover and recolonise, and its potential response to these and other threats. This project addresses the resilience of blue mussel at large spatial scales with models capable of representing the population dynamics of the species within locales and also dispersal between locales.Models will be built using a combination of "social" network modelling and metapopulation dynamic approaches. By identifying network features which are at risk or crucial as corridors between patches, targets for focus conservation and surveillance will be identified. These models will address a knowledge gap: Hydrological models typically focus in detail and with high computational complexity on water flow, without addressing long-term population dynamics. We will use outputs from hydrological models to inform our metapopulation model, and parameterise using genetic data and sampling data where available, particularly from related projects.

贻贝提供一系列生态系统服务，但是种群正在下降，包括海洋酸化，全球变暖和变化的捕食者捕食动力学在内的潜在压力源。了解这一关键物种的弹性，恢复和重新殖民的能力以及对这些和其他威胁的潜在反应至关重要。该项目解决了蓝贻贝在大空间尺度上的弹性，其模型能够代表该物种内部物种的种群动态，并在语言环境之间扩展。模型将使用“社交”网络建模和跨吞噬动态方法的组合建立。通过识别有风险或至关重要的网络特征作为斑块之间的走廊，将确定焦点保护和监视目标。这些模型将解决知识差距：水文模型通常详细介绍，并且在水流上的计算复杂性很高，而无需解决长期人口动态。我们将使用水文模型的输出来告知我们的种群模型，并在可用的遗传数据和采样数据中使用参数化，尤其是来自相关项目。