Northern Russian chironomid-based modern summer temperature data set and inference models
Northern Russian chironomid-based modern summer temperature data set and inference models
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DOI：
10.1016/j.gloplacha.2014.11.015
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发表时间：
2015-11
影响因子：
3.9
通讯作者：
L. Nazarova;A. Self;S. Brooks;M. Hardenbroek;U. Herzschuh;B. Diekmann
中科院分区：
文献类型：
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作者：
L. Nazarova;A. Self;S. Brooks;M. Hardenbroek;U. Herzschuh;B. Diekmann
西西伯利亚和东西伯利亚的数据集和55个新的网站合并的基础上的高分类相似性，和强烈的关系，平均7月气温和摇蚊分类群的分布在两个数据集相比，与其他环境参数。对来自位于俄罗斯北方的268个湖泊的摇蚊和环境数据进行的多变量统计分析表明，与其他测量变量相比，7月平均气温解释了摇蚊分布的最大方差（纬度、经度、海拔、水深、湖面面积、pH值、电导率、1月平均气温、7月平均气温、大陆性）。基于生态学和地理学方法，建立了两个基于亚化石摇蚊的夏季平均气温反演模型。北俄罗斯的WA-PLS二分量模型（RMSEPJack= 1.35 °C，rJack 2 = 0.87）可推荐用于俄罗斯北方的古气候研究。基于堪察加半岛独特的摇蚊动物区系和气候状况，远东二分量WAPLS模型（RMSEPJack= 1.3 °C，rJack 2 = 0.81）在堪察加半岛具有潜在的更好的适用性。
West and East Siberian data sets and 55 new sites were merged based on the high taxonomic similarity, and the strong relationship between mean July air temperature and the distribution of chironomid taxa in both data sets compared with other environmental parameters. Multivariate statistical analysis of chironomid and environmental data from the combined data set consisting of 268 lakes, located in northern Russia, suggests that mean July air temperature explains the greatest amount of variance in chironomid distribution compared with other measured variables (latitude, longitude, altitude, water depth, lake surface area, pH, conductivity, mean January air temperature, mean July air temperature, and continentality). We established two robust inference models to reconstruct mean summer air temperatures from subfossil chironomids based on ecological and geographical approaches. The North Russian 2-component WA-PLS model (RMSEPJack= 1.35 °C,rJack2= 0.87) can be recommended for application in palaeoclimatic studies in northern Russia. Based on distinctive chironomid fauna and climatic regimes of Kamchatka the Far East 2-component WAPLS model (RMSEPJack= 1.3 °C,rJack2= 0.81) has potentially better applicability in Kamchatka.