Spatial uniformity in depth optima of midges: evidence from sedimentary archives of shallow Alpine and boreal lakes

Luoto, Tomi P.

doi:10.4081/jlimnol.2012.e24

Cited by 13 publications

(14 citation statements)

References 26 publications

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“…In addition, the RDA results ( Table 2) clearly indicated that temperature is the most significant variable explaining chironomid distribution among the mutually measured variables in the Finnish and Polish datasets. Importantly, water depth, which has been found significant in explaining intralake chironomid distributions in Finland (Luoto 2010) and elsewhere (Kurek & Cwynar 2009, Engels et al 2012, Luoto 2012a, 2012b, explained only a minor share of the chironomid community compositions. Therefore, these results demonstrate that the chironomid assemblages closely respond to mean July air temperature in the combined dataset, and consequently justify the development of the East European chironomid-based temperature model.…”

Section: Resultsmentioning

confidence: 94%

East European chironomid-based calibration model for past summer temperature reconstructions

Luoto¹,

Kotrys

Płóciennik

2019

Clim. Res.

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Understanding local patterns and large scale processes in past climate necessitates detailed network of temperature reconstructions. In this study, a merged temperature inference model using fossil chironomid (Diptera: Chironomidae) datasets from Finland and Poland was constructed to fill the lack of an applicable training set for East European sites. The developed weighted averaging-partial least squares (WA-PLS) inference model showed favorable performance statistics suggesting that the model can be useful for downcore reconstructions. The combined calibration model includes 212 sites, 142 taxa and a temperature gradient of 11.3-20.1 °C. The 2component WA-PLS model has a cross-validated coefficient of determination of 0.88 and a root mean squared prediction error of 0.88 °C. We tested the new East European temperature transfer function in chironomid stratigraphies from a Finnish high-resolution short-core sediment record and a Polish paleolake (Żabieniec) covering the past ~20,000 yr. In the Finnish site, the chironomidinferred temperatures correlated closely with the observed instrumental temperatures showing improved accuracy compared to estimates by the original Finnish calibration model. In addition, the long-core reconstruction from the Polish site showed logical results in its general trends compared to existing knowledge on the past regional climate trends, however, with distinct differences when compared with hemispheric climate oscillations. Hence, based on these findings, the new temperature model will enable more detailed examination of long-term temperature variability in Eastern Europe, and consequently reliable identification of local and regional climate variability of the past.

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Section: Resultsmentioning

confidence: 94%

East European chironomid-based calibration model for past summer temperature reconstructions

Luoto¹,

Kotrys

Płóciennik

2019

Clim. Res.

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“…It is known that within one water body the concentration of chironomid head capsules can vary from zero to several thousand per 1 cm 3 of sediments (Kalinkina and Belkina, 2018;Walker et al, 1997) depending on factors such as water depth, rate of sediment accumulation, the hydrological conditions, or anthropogenic influence. Water depth in particular is a major driving factor of chironomid assemblages (Ali et al, 2002;Luoto, 2012;Vemeaux and Aleya, 1998), with depth optima of several species consistent across broad spatial scales . Chironomid remains from the deepest zones of Bolshoe Toko represent an assemblage of elements of profundal necrocenosis (Hofmann, 1971) mixed with secondary components of littoral fauna transported with in-lake hydrological and sedimentary processes into the profundal zone from outside.…”

Section: Factors Explaining the Spatial Chironomid Distributionmentioning

confidence: 99%

Spatial distribution of environmental indicators in surface sediments of Lake Bolshoe Toko, Yakutia, Russia

et al. 2019

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Abstract. Rapidly changing climate in the Northern Hemisphere and associated socio-economic impacts require reliable understanding of lake systems as important freshwater resources and sensitive sentinels of environmental change. To better understand time-series data in lake sediment cores, it is necessary to gain information on within-lake spatial variabilities of environmental indicator data. Therefore, we retrieved a set of 38 samples from the sediment surface along spatial habitat gradients in the boreal, deep, and yet pristine Lake Bolshoe Toko in southern Yakutia, Russia. Our methods comprise laboratory analyses of the sediments for multiple proxy parameters, including diatom and chironomid taxonomy, oxygen isotopes from diatom silica, grain-size distributions, elemental compositions (XRF), organic carbon content, and mineralogy (XRD). We analysed the lake water for cations, anions, and isotopes. Our results show that the diatom assemblages are strongly influenced by water depth and dominated by planktonic species, i.e. Pliocaenicus bolshetokoensis. Species richness and diversity are higher in the northern part of the lake basin, associated with the availability of benthic, i.e. periphytic, niches in shallower waters. δ18Odiatom values are higher in the deeper south-western part of the lake, probably related to water temperature differences. The highest amount of the chironomid taxa underrepresented in the training set used for palaeoclimate inference was found close to the Utuk River and at southern littoral and profundal sites. Abiotic sediment components are not symmetrically distributed in the lake basin, but vary along restricted areas of differential environmental forcing. Grain size and organic matter are mainly controlled by both river input and water depth. Mineral (XRD) data distributions are influenced by the methamorphic lithology of the Stanovoy mountain range, while elements (XRF) are intermingled due to catchment and diagenetic differences. We conclude that the lake represents a valuable archive for multiproxy environmental reconstruction based on diatoms (including oxygen isotopes), chironomids, and sediment–geochemical parameters. Our analyses suggest multiple coring locations preferably at intermediate depth in the northern basin and the deep part in the central basin, to account for representative bioindicator distributions and higher temporal resolution, respectively.

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“…It is known that even within one water body the concentration of chironomid head capsules may vary from zero to several thousand per 1 cm 3 of sediments (Kalinkina and Belkina, 2018;Walker et al, 1997), depending on the various ecological factors including the water depth, rate of sediment accumulation, the hydrological conditions, or anthropogenic influence. Water depth is a major driving factor of chironomid assemblages in many studies (Ali et al, 2002;Luoto, 2012;Vemeaux and Aleya, 1998) and depth optima of several species prove to be consequent across broad spatial scales (Nazarova et al, 2011). Taphonomy assumes that the assemblage of chironomid remains from the deepest zones of lake represents an assemblage of elements of profundal necrocenosis (Hofmann, 1971) mixed with secondary components of littoral fauna transported Biogeosciences Discuss., https://doi.org/10.5194/bg-2019-146 Manuscript under review for journal Biogeosciences Discussion started: 16 May 2019 c Author(s) 2019.…”

Section: Factors Explaining the Spatial Chironomid Distributionmentioning

confidence: 99%

Spatial distribution of environmental indicators in surface sediments of Lake Bolshoe Toko, Yakutia, Russia

Biskaborn¹,

Nazarova²,

Pestryakova³

et al. 2019

Preprint

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Abstract. Rapidly changing climate in the northern hemisphere and associated socio-economic impacts require reliable understanding of lake systems as important freshwater resources and sensitive sentinels of environmental changes. To better understand time-series data in lake sediment cores it is necessary to gain information on within-lake spatial variabilities of environmental indicator data. Therefore, we retrieved a set of 38 samples from the sediment surface along spatial habitat gradients in the boreal, deep, and yet pristine Lake Bolshoe Toko in southern Yakutia, Russia. Our methods comprise laboratory analyses of the sediments for multiple proxy parameters including diatom and chironomid taxonomy, oxygen isotopes from diatom silica, grain size distributions, elemental compositions (XRF), organic carbon contents, and mineralogy (XRD). We analysed the lake water for cations, anions and isotopes. Our results show that the diatom assemblages are strongly influenced by water depth and dominated by planktonic species, i.e. Pliocaenicus bolshetokoensis. Species richness and diversity is higher in the northern part of the lake basin, associated with the availability of benthic, i.e. periphytic, niches in shallower waters. &#948;18Odiatom values are higher in the deeper south-western part of the lake probably related to water temperature differences. The highest amount of the chironomid taxa underrepresented in the training set used for palaeoclimate inference was found close to the Utuk river and at southern littoral and profundal sites. Abiotic sediment components are not symmetrically distributed in the lake basin but vary along restricted areas of differential environmental forcings. Grain size and organic matter is mainly controlled by both, river input and water depth. Mineral (XRD) data distributions are influenced by the methamorphic lithology of the Stanovoy mountain range, while elements (XRF) are intermingled due to catchment and diagenetic differences. We conclude that the lake represents a suitable system for multiproxy environmental reconstruction based on diatoms (including oxygen isotopes), chironomids and sediment-geochemical parameters.

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Spatial uniformity in depth optima of midges: evidence from sedimentary archives of shallow Alpine and boreal lakes

Abstract: In

Cited by 13 publications

References 26 publications

East European chironomid-based calibration model for past summer temperature reconstructions

East European chironomid-based calibration model for past summer temperature reconstructions

Spatial distribution of environmental indicators in surface sediments of Lake Bolshoe Toko, Yakutia, Russia

Spatial distribution of environmental indicators in surface sediments of Lake Bolshoe Toko, Yakutia, Russia

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