DOI: | 10.1016/j.gloplacha.2014.11.015
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论文题名: | Northern Russian chironomid-based modern summer temperature data set and inference models |
作者: | Nazarova L.; Self A.E.; Brooks S.J.; van Hardenbroek M.; Herzschuh U.; Diekmann B.
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ISSN: | 0921-8446
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出版年: | 2014
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卷: | 134 | 起始页码: | 10
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结束页码: | 25
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语种: | 英语
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英文关键词: | Arctic Russia
; Biogeography
; Chironomidae
; Ecology
; Temperature
; Transfer function
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Scopus关键词: | Ecology
; Lakes
; Multivariant analysis
; Temperature
; Transfer functions
; Arctic Russia
; Biogeography
; Chironomidae
; Environmental data
; Environmental parameter
; Inference models
; Multivariate statistical analysis
; Summer temperature
; Atmospheric temperature
; arthropod
; data set
; paleoclimate
; species diversity
; statistical analysis
; subfossil
; taxonomy
; temperature effect
; transfer function
; zoogeographical region
; Arctic
; Kamchatka
; Russian Federation
; Chironomidae
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英文摘要: | 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, rJack 2=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, rJack 2=0.81) has potentially better applicability in Kamchatka. © 2014 Elsevier B.V. |
URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84947028083&doi=10.1016%2fj.gloplacha.2014.11.015&partnerID=40&md5=28246e1196258d91b95801b16fb4a2db
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Citation statistics: |
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资源类型: | 期刊论文
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标识符: | http://119.78.100.158/handle/2HF3EXSE/11352
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Appears in Collections: | 全球变化的国际研究计划
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作者单位: | Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Research Unit Potsdam, Telegrafenberg A43, Potsdam, Germany
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Recommended Citation: |
Nazarova L.,Self A.E.,Brooks S.J.,et al. Northern Russian chironomid-based modern summer temperature data set and inference models[J],2014-01-01,134.
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