Ecosystem Change, Offshore Wind, Net Gain and Seabirds (ECOWINGS)

生态系统变化、海上风电、净收益和海鸟 (ECOWINGS)

• 批准号: NE/X009009/1
• 负责人: Paul Fernandes
• 金额: $ 76.48万
• 依托单位: Heriot-Watt University
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=NE%2FX009009%2F1
• 关键词: Ecosystem; Change; Offshore; Wind; Net

Seabird impacts are the top consenting issue inhibiting OW expansion in the UK sector of the North Sea (especially black-legged kittiwake, common guillemot, razorbill and Atlantic puffin). Policy proposals for overcoming these issues include making environmental assessments at a more strategic level, adopting strategic compensation measures, and delivering net gain to seabird populations and the wider marine ecosystem that is robust to climate change. Our project addresses three key Research Questions (RQs) designed to deliver urgently needed advice to ensure that these policies are implemented in ways which simultaneously deliver both OW expansion and net gain for seabirds and the ecosystem:RQ1. What are the cumulative impacts of OW on seabirds and on the wider ecosystem, and how do these scale with capacity? RQ2. What scale and extent of compensatory measures are required to provide strategic headroom of net gain to seabirds and the whole ecosystem while avoiding unforeseen consequences? RQ3. How can we incorporate sufficient headroom in strategic compensation to ensure it remains robust to future projections of climate change? Our project will focus on the key North Sea OW-seabird interaction area off southeast Scotland, but all the methods will be transferable to other UK regions. To answer the Research Questions we will use a range of inter-related models of ecosystem, seabird, forage fish and zooplankton dynamics together with new supporting data. The models will be deployed in innovative new ways to address the policy-driven challenges and make the results accessible to stakeholders through online tools. The new data collection will involve novel use of autonomous underwater and remote controlled uncrewed surface vehicles (AUV and USV) working in concert and integrated with the digital aerial seabird surveys commissioned in support of existing environmental programmes by the OW industry and as part of the Crown Estate OWEC programme. The combined AUV and USV surveys will gather multi-frequency hydroacoustic data on forage fish (sandeel and sprat/herring) patchiness in control areas not yet developed for OW, and existing OW farms. The coincident aerial surveys will gather high resolution data on seabirds. These matched predator-prey data will provide crucial process-based understanding on predator-prey interactions needed to estimate cumulative impacts on seabirds (RQ1) and develop effective strategic compensation (RQ2). Data to support RQ3 on modelling of climate-proofing for strategic compensation measures will be assembled from UK AMM7 biogeochemical model projections of ocean physics and chemistry under the IPCC RCP8.5 emissions scenario. Developers and stakeholders will be engaged early in the project to design a suite of potential strategic compensation scenarios which will be incrementally tested as the project progresses. Policy briefs setting out the findings and advice-to-date will be produced at annual intervals to ensure that the new evidence and tools developed in the project are fed rapidly into the decision-making process.

海鸟的影响是限制英国北海海域OW扩张的首要问题（特别是黑腿三趾鸥、海鸠、剃刀嘴雀和大西洋海雀）。克服这些问题的政策建议包括在更具战略性的层面上进行环境评估，采取战略性补偿措施，为海鸟种群和更广泛的海洋生态系统带来净收益，这些生态系统对气候变化具有强大的影响。我们的项目解决了三个关键的研究问题（RQ），旨在提供迫切需要的建议，以确保这些政策的实施方式，同时提供OW扩张和海鸟和生态系统的净收益：RQ 1。OW对海鸟和更广泛的生态系统的累积影响是什么，这些影响如何随着容量的增加而扩大？RQ 2.需要多大规模和程度的补偿措施，才能为海鸟和整个生态系统提供净收益的战略空间，同时避免不可预见的后果？RQ 3.我们如何在战略补偿中纳入足够的空间，以确保其对未来气候变化的预测保持稳健？我们的项目将集中在苏格兰东南部的关键北海OW海鸟互动区，但所有的方法将转移到英国其他地区。为了回答研究问题，我们将使用一系列相互关联的生态系统，海鸟，饲料鱼类和浮游动物动态模型以及新的支持数据。将以创新的新方式部署这些模型，以应对政策驱动的挑战，并通过在线工具向利益攸关方提供结果。新的数据收集将涉及自主水下和遥控无人水面车辆（AUV和USV）的新用途，这些车辆与OW行业为支持现有环境计划而委托进行的数字航空海鸟调查相结合，并作为Crown Estate OWEC计划的一部分。AUV和USV联合调查将在尚未为OW开发的控制区和现有OW农场收集饲料鱼（沙迪尔鱼和鲱鱼/鲱鱼）斑块的多频水声数据。同时进行的航空调查将收集有关海鸟的高分辨率数据。这些匹配的捕食者-猎物数据将提供关键的过程为基础的理解捕食者-猎物的相互作用需要估计累积的影响海鸟（RQ 1），并制定有效的战略补偿（RQ 2）。将根据联合王国AMM 7海洋地球化学模型对IPCC RCP 8.5排放情景下海洋物理和化学的预测，收集支持关于战略补偿措施气候防护模型的RQ 3数据。开发人员和利益相关者将在项目早期参与设计一套潜在的战略补偿方案，这些方案将随着项目的进展而逐步进行测试。将每年编写一次政策简报，列出最新的调查结果和咨询意见，以确保项目中开发的新证据和工具迅速纳入决策过程。