Lake ecosystem response to climate change 8200 years ago. A multi-proxy study at Lake Højby Sø, Denmark
Notice bibliographique
Résumé
The assessment of present-day climate effects on lake ecosystems in lowland Europe is difficult for two<br/>reasons: i. the absence of long-term monitoring data (usually less than 30 yrs) which makes it difficult to<br/>determine natural variation, and ii. the problem of distinguishing between the effects of climate and the<br/>effects of human activities. These problems also complicate the prediction of possible future climate<br/>influence on lake ecology. A way of circumventing these problems is the use of lake sediment records which<br/>contain a wealth of information about past lake history over long time scales and under different climate and<br/>land-use regimes. Using a sediment record from Lake Højby Sø, Denmark, the aim of the present study was<br/>to explore ecological response to the most pronounced climate change known from the Holocene: an abrupt<br/>cooling event around 8200 cal. yr BP, also known as the ‘8.2 kyr cooling event’. The event has been<br/>recorded as a negative &#948;18O excursion in the central Greenland ice cores, lasting c. 160 years from<br/>8247–8086 cal. yr BP (Thomas et al. 2007, Quat. Sci. Rev. 26, 70–81). In Greenland the maximum cooling<br/>was estimated to be 6 ± 2oC while in southern Fennoscandia and the Baltic countries pollen-based<br/>quantitative temperature reconstructions indicate a maximum annual mean temperature decrease of around<br/>1.5 oC (Alley et al. 1997, Geology 25, 483–486; Seppä et al. 2007, Clim. of the past 3, 225–236). Today<br/>there is a general consensus that the primary cause of the cooling event was the final collapse of the<br/>Laurentide ice sheet near Hudson Bay and the associated sudden drainage of the proglacial Lake Agassiz<br/>into the North Atlantic Ocean (e.g. Kleiven et al. 2008, Science 319, 60–64). This freshwater outflow<br/>reduced the strength of the North Atlantic thermohaline circulation and thereby the heat transported to the<br/>North Atlantic region, resulting in an atmospheric cooling (e.g. Barber et al. 1999, Nature 400, 344–348).<br/>The climatic consequences of this meltwater flood is assumed to be a good geological analogue for future<br/>climate-change scenarios, as a freshening of the North Atlantic is projected by almost all global-warming<br/>models (e.g. IPCC 2007). In Denmark the 8.2 kyr event pre-dates the introduction of agriculture (by more<br/>than two millennia) and any other major human impact on the environment, so allowing the anthropogenic<br/>factor to be disregarded. At Lake Højby Sø the 8.2 kyr event was identified using AMS 14C dating and<br/>high-resolution multi-proxy studies of the sediments involving geochemistry, magnetic susceptibility,<br/>pollen, macrofossil, diatom and algal pigment analysis. The 8.2 kyr climatic anomaly involved a distinct<br/>increase in regional precipitation as inferred from an abrupt increase in catchment soil erosion. This lasted<br/>for at least 250 years and gave rise to a drastic increase in sedimentation rates of inorganic and organic<br/>material. The enhanced soil erosion also increased the input of nutrients leading to an increase in lake<br/>productivity as reflected by high algal pigment accumulation rates in the period c. 8400–7950 cal yr BP.<br/>After c. 7950 cal yr BP algal productivity declined somewhat but the lake did not return to its pre-8400 cal<br/>yr BP conditions remaining a more productive and nutrient rich lake than before the climate-induced change.<br/>Thus, at this point the lake seems to have experienced a climate-driven regime shift. The pollen data from<br/>Lake Højby Sø reveal a drop in temperature during the 8.2 kyr event as inferred from a reduced pollen<br/>production from thermophilous deciduous trees. However, a temperature effect was not demonstrable in the<br/>lake ecosystem, at least based on the proxies analysed. If present, a temperature forcing on the aquatic<br/>ecosystem appears to have been fully overridden by climate-induced catchment processes. In conclusion,<br/>our study suggests that during the 8.2 kyr cooling event hydrological change was of more importance for<br/>lake ecosystem process than the change in air temperature.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».