权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

NI: Developing Innovative Multi-proxy Analysis for Long-term environmental change in Siberia and the Russian Far East

NI：针对西伯利亚和俄罗斯远东地区的长期环境变化开发创新的多代理分析

基本信息

批准号：
NE/S008276/1
负责人：
Maarten Van Hardenbroek
金额：
$ 9.75万
依托单位：
Newcastle University
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2018
资助国家：
英国
起止时间：
2018 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=NE%2FS008276%2F1
关键词：
NI Developing Innovative Multi proxy

项目摘要

One of the regions where current global warming is most pronounced is Siberia and the Russian Far East (SRFE). Inconveniently, this is also one of the regions with least coverage of climate records in international databases. As a consequence, it is extremely difficult to analyse and understand the spatial and temporal variations of climate change in SRFE that can provide context for past changes and current warming trajectories, and data are inadequate for syntheses that can aid evaluation of simulations of past climate-an important way to assess how well models perform at projecting the future, whether it be the impact on communities and ecosystems of forest fires or the fate of carbon currently stored in soils and peatlands. The lack of records from SRFE partly reflects that there are few well established, multi-year international collaborations between Russian institutes and international partners. While scientists at Russian institutes have access to large datasets and field sites and have high-quality staff conducting laboratory analyses, they often have less access to the latest analytical approaches and data quality control protocols-or indeed the language fluency currently required for high-impact international publications and data syntheses. This can generate an imbalance of influence within projects and lead to one-sided and/or short-term scientific interactions that do not have long-term direction and coherence.We will address both the science and science culture issues via a network of researchers from the UK and six institutes of the Russian Academy of Sciences in SRFE. Partners in this network have already expressed a strong interest to work together and pool resources to (1) synthesise existing data, (2) learn new methods, and (3) together create new high-quality records of climate and environmental change in this and future research projects. Our network is called DIMA ("Developing Innovative Multi-proxy Analysis"), because we will use multiple new approaches to get climate information from sediment records (proxies) to reconstruct climate change.Our partnership-building and collaboration have several aims. First an extant dataset that described past vegetational change, which has not yet reached an international audience, will be analysed by the DIMA groups to create value-added features (e.g., data formulated for climate-vegetation modelling exercises) prior to publication. Second, we will collect samples to apply a method new to this region for reconstructing past temperatures from insect remains in lake sediments; this will be underpinned by UK-based training of Russian collaborators in the use of the latest laboratory and statistical procedures during a month-long visit of three colleagues from SRFE to the UK. It will involve collecting modern reference samples and generating a high-quality long temperature record from western Siberia as proof-of-concept for an expanded programme. Project leader van Hardenbroek is a specialist in this field. The two selected Russian Project Partners have considerable experience in organising field campaigns and laboratory analysis and will provide the necessary personnel, support and infrastructure. The new data and the experience gained during this project will place the DIMA team in a competitive position to apply for larger collaborative project; the highly motivated team will be geared up to generate long-term climate records across SRFE, produce a high-quality regional temperature synthesis, and develop collaborations with, for example, groups using data compilations to explore climate-vegetation model performance (co-I Edwards current collaboration). This proposal addresses the UK government's expressed need for developing and maintaining strong science ties with key countries, including Russia and strengthening international collaborations outside Europe post-Brexit.

目前全球变暖最明显的地区之一是西伯利亚和俄罗斯远东（SRFE）。不方便的是，这也是国际数据库中气候记录覆盖率最低的地区之一。因此，分析和理解SRFE气候变化的时空变化是极其困难的，而这些变化可以为过去的变化和当前的变暖轨迹提供背景，而且数据不足以用于帮助评估过去气候模拟的综合，而这是评估模式在预测未来方面表现如何的重要方法。无论是森林火灾对社区和生态系统的影响，还是目前储存在土壤和泥炭地的碳的命运。SRFE缺乏记录部分反映了俄罗斯研究机构和国际合作伙伴之间建立良好的、多年的国际合作很少。虽然俄罗斯研究机构的科学家可以访问大型数据集和实地站点，并拥有高质量的工作人员进行实验室分析，但他们通常无法接触到最新的分析方法和数据质量控制协议，或者实际上无法掌握目前高影响力国际出版物和数据合成所需的流利语言。这可能造成项目内部影响的不平衡，导致片面和/或短期的科学互动，而没有长期的方向和一致性。我们将通过来自英国和俄罗斯科学院在SRFE的六个研究所的研究人员组成的网络来解决科学和科学文化问题。该网络中的合作伙伴已经表达了共同合作和汇集资源的强烈兴趣，以便(1)综合现有数据，(2)学习新方法，以及(3)在当前和未来的研究项目中共同创建新的高质量气候和环境变化记录。我们的网络被称为DIMA（“发展创新的多代理分析”），因为我们将使用多种新方法从沉积物记录（代理）中获取气候信息，以重建气候变化。我们的伙伴关系建设和合作有几个目标。首先，DIMA小组将在出版之前分析一个描述过去植被变化的现有数据集，该数据集尚未达到国际受众，以创建增值特征（例如，为气候-植被建模练习制定的数据）。其次，我们将收集样本，应用一种新的方法来重建湖泊沉积物中昆虫遗骸的过去温度；在SRFE的三位同事对英国进行为期一个月的访问期间，将在英国培训俄罗斯合作者使用最新的实验室和统计程序，以此为基础。它将包括收集现代参考样本，并从西伯利亚西部生成高质量的长期温度记录，作为扩大计划的概念证明。项目负责人van Hardenbroek是这一领域的专家。选定的两个俄罗斯项目合作伙伴在组织实地活动和实验室分析方面具有丰富的经验，并将提供必要的人员、支持和基础设施。在这个项目中获得的新数据和经验将使DIMA团队在申请更大的合作项目时处于竞争地位；这个高度积极的团队将准备在SRFE中生成长期气候记录，生成高质量的区域温度合成，并与使用数据汇编来探索气候-植被模型性能的小组（co-I Edwards目前的合作）开展合作。该提案解决了英国政府表达的与包括俄罗斯在内的主要国家发展和保持强有力的科学关系的需求，并加强了脱欧后欧洲以外的国际合作。