Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 548918
Title Removing the no-analogue bias in modern accelerated tree growth leads to stronger medieval drought
Author(s) Scharnweber, Tobias; Heußner, Karl Uwe; Smiljanic, Marko; Heinrich, Ingo; Maaten-Theunissen, Marieke van der; Maaten, Ernst van der; Struwe, Thomas; Buras, Allan; Wilmking, Martin
Source Scientific Reports 9 (2019)1. - ISSN 2045-2322
DOI https://doi.org/10.1038/s41598-019-39040-5
Department(s) Forest Ecology and Forest Management
Publication type Refereed Article in a scientific journal
Publication year 2019
Abstract

In many parts of the world, especially in the temperate regions of Europe and North-America, accelerated tree growth rates have been observed over the last decades. This widespread phenomenon is presumably caused by a combination of factors like atmospheric fertilization or changes in forest structure and/or management. If not properly acknowledged in the calibration of tree-ring based climate reconstructions, considerable bias concerning amplitudes and trends of reconstructed climatic parameters might emerge or low frequency information is lost. Here we present a simple but effective, data-driven approach to remove the recent non-climatic growth increase in tree-ring data. Accounting for the no-analogue calibration problem, a new hydroclimatic reconstruction for northern-central Europe revealed considerably drier conditions during the medieval climate anomaly (MCA) compared with standard reconstruction methods and other existing reconstructions. This demonstrates the necessity to account for fertilization effects in modern tree-ring data from affected regions before calibrating reconstruction models, to avoid biased results.

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