Northern Russian chironomid-based modern summer temperature data set and inference models
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 analysi...
Published in: | Global and Planetary Change |
---|---|
Main Authors: | , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
2014
|
Subjects: | |
Online Access: | https://eprints.soton.ac.uk/378300/ https://eprints.soton.ac.uk/378300/1/Nazarova_20et_20al_20in_20press_20Russian_20combined_20TF.pdf |
id |
ftsouthampton:oai:eprints.soton.ac.uk:378300 |
---|---|
record_format |
openpolar |
spelling |
ftsouthampton:oai:eprints.soton.ac.uk:378300 2023-07-30T04:04:34+02:00 Northern Russian chironomid-based modern summer temperature data set and inference models Nazarova, Larisa Self, Angela E. Brooks, Stephen J. van Hardenbroek, Maarten Herzschuh, Ulrike Diekmann, Bernhard 2014-12-05 text https://eprints.soton.ac.uk/378300/ https://eprints.soton.ac.uk/378300/1/Nazarova_20et_20al_20in_20press_20Russian_20combined_20TF.pdf en English eng https://eprints.soton.ac.uk/378300/1/Nazarova_20et_20al_20in_20press_20Russian_20combined_20TF.pdf Nazarova, Larisa, Self, Angela E., Brooks, Stephen J., van Hardenbroek, Maarten, Herzschuh, Ulrike and Diekmann, Bernhard (2014) Northern Russian chironomid-based modern summer temperature data set and inference models. [in special issue: Holocene environmental change in Kamchatka] Global and Planetary Change, 134, 10-25. (doi:10.1016/j.gloplacha.2014.11.015 <http://dx.doi.org/10.1016/j.gloplacha.2014.11.015>). Article PeerReviewed 2014 ftsouthampton https://doi.org/10.1016/j.gloplacha.2014.11.015 2023-07-09T21:59:46Z 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. Article in Journal/Newspaper Kamchatka University of Southampton: e-Prints Soton Global and Planetary Change 134 10 25 |
institution |
Open Polar |
collection |
University of Southampton: e-Prints Soton |
op_collection_id |
ftsouthampton |
language |
English |
description |
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. |
format |
Article in Journal/Newspaper |
author |
Nazarova, Larisa Self, Angela E. Brooks, Stephen J. van Hardenbroek, Maarten Herzschuh, Ulrike Diekmann, Bernhard |
spellingShingle |
Nazarova, Larisa Self, Angela E. Brooks, Stephen J. van Hardenbroek, Maarten Herzschuh, Ulrike Diekmann, Bernhard Northern Russian chironomid-based modern summer temperature data set and inference models |
author_facet |
Nazarova, Larisa Self, Angela E. Brooks, Stephen J. van Hardenbroek, Maarten Herzschuh, Ulrike Diekmann, Bernhard |
author_sort |
Nazarova, Larisa |
title |
Northern Russian chironomid-based modern summer temperature data set and inference models |
title_short |
Northern Russian chironomid-based modern summer temperature data set and inference models |
title_full |
Northern Russian chironomid-based modern summer temperature data set and inference models |
title_fullStr |
Northern Russian chironomid-based modern summer temperature data set and inference models |
title_full_unstemmed |
Northern Russian chironomid-based modern summer temperature data set and inference models |
title_sort |
northern russian chironomid-based modern summer temperature data set and inference models |
publishDate |
2014 |
url |
https://eprints.soton.ac.uk/378300/ https://eprints.soton.ac.uk/378300/1/Nazarova_20et_20al_20in_20press_20Russian_20combined_20TF.pdf |
genre |
Kamchatka |
genre_facet |
Kamchatka |
op_relation |
https://eprints.soton.ac.uk/378300/1/Nazarova_20et_20al_20in_20press_20Russian_20combined_20TF.pdf Nazarova, Larisa, Self, Angela E., Brooks, Stephen J., van Hardenbroek, Maarten, Herzschuh, Ulrike and Diekmann, Bernhard (2014) Northern Russian chironomid-based modern summer temperature data set and inference models. [in special issue: Holocene environmental change in Kamchatka] Global and Planetary Change, 134, 10-25. (doi:10.1016/j.gloplacha.2014.11.015 <http://dx.doi.org/10.1016/j.gloplacha.2014.11.015>). |
op_doi |
https://doi.org/10.1016/j.gloplacha.2014.11.015 |
container_title |
Global and Planetary Change |
container_volume |
134 |
container_start_page |
10 |
op_container_end_page |
25 |
_version_ |
1772816112442933248 |