The construction of oxygen isotope chronologies from tree-ring series sampled at different temporal resolution and its use as climate proxies: statistical aspects

Описание

Тип публикации: статья из журнала

Год издания: 2014

Идентификатор DOI: 10.1007/s10584-013-0985-z

Ключевые слова: Climate correlation, Climate sensitivity, Economic considerations, Isotope chronologies, Linear regression models, Oxygen stable isotopes, Temperature reconstruction, Temporal resolution, Atmospheric temperature, Isotopes, Linear regression, Oxygen, Forestry, coniferous tree, dendrochronology, isotopic analysis, oxygen isotope, proxy climate record, reconstruction, regression analysis, summer, temperature profile, tree ring, Alps, Austria, Coniferophyta

Аннотация: Tree-ring oxygen stable isotope data series from conifers growing on the Dachstein Plateau (Austrian Alps) were selected to demonstrate the applicability of the serial pooling method using shifted 5-year tree-ring blocks for summer temperature reconstruction. The addressed method allows the construction of long isotope chronologiesПоказать полностьюwith significant climate correlation and well preserved climate sensitivity applying the irreducible sample replication of five trees. The linear regression model for temperature reconstruction is verifiable and the predicted data are well correlated with instrumental data, especially reproducing the long-term temperature trend. However, the reduced mean variance leads to loss of extreme years, which can be regulated by the combination of one data series in annual resolution with five shifted 5-year block data series. This significantly improves the variance of the mean chronology, sufficiently to identify extremes. Therefore, we recommend the use of mixed data sets as a compromise between essential sample replication and economic considerations.

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Издание

Журнал: CLIMATIC CHANGE

Выпуск журнала: Vol. 122, Is. 1-2

Номера страниц: 201-215

ISSN журнала: 01650009

Место издания: DORDRECHT

Издатель: SPRINGER

Персоны

  • Haupt Marika (UFZ Helmholtz Ctr Environm Res, Dept Catchment Hydrol, D-06120 Halle, Germany)
  • Friedrich Michael (Univ Hohenheim, Inst Bot 210, D-70593 Stuttgart, Germany)
  • Shishov Vladimir V. (Siberian Fed Univ, Math Methods & IT Dept, Krasnoyarsk 660075, Russia)
  • Boettger Tatjana (UFZ Helmholtz Ctr Environm Res, Dept Catchment Hydrol, D-06120 Halle, Germany)