Quantitative reconstructions of Holocene and Late Pleistocene palaeotemperatures in Yakutia, North-Eastern Russia using regional Chironnomid inference model

尽管俄罗斯北部地区对全球气候发展具有非常重要的意义，但该地区定量研究古气候的例子寥寥无几。重建方法的主要缺点是缺乏区域标定数据集。任何用于重建的非区域模型的应用都会给数据解释带来困难，并使结果具有争议性和互不相容。该项目的目标是：完成一个区域摇摆学推断的气温、水深、导水率模型，并利用这些区域模型和对来自长沉积岩心(超过10ka BP)的摇摆动物群化石进行高分辨率重建雅库特中部全新世和晚更新世的古气候变异性。该项目将产生以下成果：俄罗斯第一套基于摇蚊的区域性校准数据集；关于摇蚊亚化石的第一个泛欧亚数据库；摇蚊平均7月气温、水深、电导率推断模型；利用区域模型对这一地区与气候有关的参数的首次估计；对未来气候变化在极端条件下可能如何影响淡水生态系统的深入了解；关于这一研究较少的区域的摇蚊动物群的新的生态数据；俄罗斯北部第一个摇蚊分类数据库和网上鉴定指南。这项拟议的工作是多代理研究的一部分。

In spite of a high importance of Northern Russia for global climate development there are only few examples of quantitative palaeoclimate studies in this region. The main drawback of the reconstruction approach is the lack of a regional calibration datasets. Any application of non-regional models for To reconstruction causes difficulty in data interpretation and makes results controversial and incompatible. The aims of the project are: To complete a regional chironomid-inferred air temperature, water depth, water conductivity models and to make, a high resolution reconstructions of Holocene and Late Pleistocene palaeoclimate variability in Central Yakutia, using these regional models and advanced analysis of the fossil chironomid fauna from long sediment cores (more than 10 ka BP). The project will lead to: first regional Russian chironomid-based calibration data set; first pan-Eurasian database on subfossil chironomids; chironomid mean July air temperature, water depth, conductivity inference models; the first estimates of climate-related parameters for this area made with regional models; insights into how future climate change might affect freshwater ecosystems in extreme conditions; new ecological data about chironomid faunas from this poorly-studied region; the first taxonomic database and web-based identification guide to chironomids from Northern Russia. The proposed work is a part of multi-proxy studies.