Towards enhanced black-legged kittiwake metapopulation modelling in the context of global change and renewable energy development.

这个项目的重点是提高我们在量化和随后对猫尾蛇集合种群动态进行预测时捕捉现实主义的能力。这项工作将通过将不同的种群结构来源(即年龄、性别、经历)纳入人口比率(如扩散/连通性)来改进集合种群模型，从而促进我们对脆弱物种及其保护的理解。这些进展将减少在预测海上风能发展和气候变化可能如何影响猫尾鸟等优先物种时的不确定性。最终，该项目旨在推进可用于模拟集合种群动态的证据和方法，为政策制定者、决策者、自然保护顾问和行业提供信息，并消除实现净零目标的障碍。

This project focuses on improving our ability to capture realism in the quantification and subsequent forecasting of kittiwake metapopulation dynamics. This work will advance our understanding of vulnerable species, and their conservation, through improvements in metapopulation modelling by including different sources of population structure (i.e. age, sex, experience) in demographic rates (such as dispersal/connectivity). Such advances would reduce uncertainty when forecasting how offshore wind development and climate change may affect priority species such as kittiwakes. Ultimately, the project aims to advance the evidence for and methodologies available to model metapopulation dynamics, informing policy, decision makers, nature conservation advisors and industry, and removing barriers to the delivery of net-zero targets.