Two chironomid-inferred mean July air temperature reconstructions in the South Carpathian Mountains over the last 2000 years

Author:

Szabó Zoltán1ORCID,Buczkó Krisztina123,Korponai János L45,Luoto Tomi6,Begy Róbert-Csaba78,Haliuc Artitina19ORCID,Veres Daniel9,Hamerlík Ladislav1011,Csorba Réka1,Zsigmond Andreea Rebeka5,Darabos Gabriella1,Méhes Nikoletta12,Kövér Csilla1,Magyari Enikő Katalin113

Affiliation:

1. Department of Environmental and Landscape Geography, Eötvös Loránd University, Hungary

2. Department of Botany, Hungarian Natural History Museum, Hungary

3. Center for Natural Science, University of Pannonia, Research Group of Limnology, Egyetem, Hungary

4. Department of Water Supply and Sewerage, Faculty of Water Sciences, University of Public Service, Hungary

5. Department of Environmental Science, Sapientia Hungarian University of Transylvania, Romania

6. Faculty of Biological and Environmental Sciences, Ecosystems and Environment Research Programme, University of Helsinki, Finland

7. Faculty of Environmental Science and Engineering, ‘Babes-Bolyai’ University, Romania

8. Interdisciplinary Research Institute on Bio-Nano-Sciences, Babes-Bolyai University, Romania

9. Institute of Speleology, Romanian Academy, Romania

10. Matej Bel University, Faculty of Natural Sciences, Slovakia

11. Institute of Zoology, Slovak Academy of Sciences, Slovakia

12. West-Transdanubian Water Directorate Department of Water Conservation and River Basin Management, Laboratory, Hungary

13. HUN-REN-MTM-ELTE Research group for Paleontology, Hungary

Abstract

We present chironomid-based reconstructions of mean July air temperature changes over the last 2000 years from Lake Latoriței (1530 m a.s.l.) in the Southern Carpathians. A multi-proxy analysis was performed along a 58 cm long sediment core and two training sets were used for quantitative July air temperature reconstructions: the Eastern-European (EE, 212 lakes) and the Finnish-Polish-Carpathian (FPC, 273 lakes). The transfer functions had a coefficient of determination ( r2) 0.88 and 0.91 with a root mean squared error of prediction (RMSEP) 0.88°C and 1.02°C. Despite possible biases resulting from methodological problems and the ecological complexity of the chironomid response to both climatic and environmental changes, the agreement of the temperature reconstruction of Lake Latoriței with other alpine records suggests that the transfer function successfully reconstructed past summer temperatures between 750 and 1830 CE. Biases in the temperature reconstruction in the period before 750 and after 1830 CE were likely caused by increased abundance of rheophilic and semi-terrestrial chironomid species related to increased inflow activity before 750 CE and local land use changes after 1830 CE, which was also indicated by increasing deforestation and increasing lake productivity in the pollen and diatom records. Our results suggest that the region experienced a warm period between 750 and 1360 CE, and a cold period between 1360 and 1600 CE followed by fluctuating summer temperatures until 1830 CE. These events were associated with the so-called ‘Mediaeval Warm Period’ (MWP) and the ‘Little Ice Age’ (LIA), respectively. The inference models reconstructed a decrease in July air temperatures by 0.7°C–1.1°C during the LIA relative to the warmer MWP. We also demonstrated that the FPC training set gives better results, supporting that local/continental training sets are efficient to detect weak amplitude summer temperature changes in the Late-Holocene.

Publisher

SAGE Publications

Reference137 articles.

1. Andersen T, Cranston P, Epler J (2013) Chironomidae of the Holarctic Region: Keys and diagnoses. Part 1 - Larvae. Available at: https://www.abebooks.com/Chironomidae-Holarctic-Region-Keys-diagnoses-Part/30627041564/bd (accessed 17 January 2023).

2. Recent changes in a remote Arctic lake are unique within the past 200,000 years

3. Diatom-based pH reconstruction studies of acid lakes in Europe and North America: A synthesis

4. Bennett K (2007) Psimpoll 4.27. Available at: http://chrono.qub.ac.uk/psimpoll/psimpoll.html (accessed 17 January 2023).

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