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Data supporting 'The distribution and abundance of chironomids in high-latitude Eurasian lakes with respect to temperature and continentality: development and application of new chironomid-based climate-inference models in northern Russia.'

This dataset is a csv file of abundance data of chironomid larvae subfossils isolated from surface sediments collected from lakes in arctic and subarctic Russia between 61 and 72 °N and 50 - 132 °E. The 81 lakes form the calibration dataset used to develop a chironomid-based inference model to estimate past mean July air temperatures. The data comprise lake code, July air temperatures estimated for each lake by spatial interpolation of meteorological records and percentage abundance data of the chironomid taxa. Further details of the lakes and development of the inference model are given in the following reference:

A.E. Self, S.J. Brooks, H.J.B. Birks, L. Nazarova, D. Porinchu, A. Odland, H. Yang and, V.J. Jones (2011). The distribution and abundance of chironomids in high-latitude Eurasian lakes with respect to temperature and continentality: development and application of new chironomid-based climate-inference models in northern Russia. Quaternary Science Reviews 30: 1122-1141.

Data and Resources

Cite this as

Angela Self (2016). Data supporting 'The distribution and abundance of chironomids in high-latitude Eurasian lakes with respect to temperature and continentality: development and application of new chironomid-based climate-inference models in northern Russia.' [Data set]. Natural History Museum. https://doi.org/10.5519/0012370
Retrieved: 15:31 13 Aug 2022 (UTC) BibTeX

Additional Info

Field Value
Affiliation Natural History Museum
Primary contributors
Self, Angela ( 0000-0002-8091-8887)
Other contributors
Last updated April 8, 2019
Last resource update April 8, 2019 (neer-ts.csv)
Created May 26, 2016
License CC-BY-SA-4.0