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Christian Zang

Researcher at Technische Universität München

Publications -  60
Citations -  3662

Christian Zang is an academic researcher from Technische Universität München. The author has contributed to research in topics: Climate change & Biology. The author has an hindex of 24, co-authored 47 publications receiving 2440 citations. Previous affiliations of Christian Zang include Weihenstephan-Triesdorf University of Applied Sciences & University of Stirling.

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treeclim: an R package for the numerical calibration of proxy‐climate relationships

TL;DR: The R package treeclim helps perform numerical calibration of proxy-climate relationships, with an emphasis on tree-ring chronologies, and provides a unified, fast, and public-domain compilation of established methods while adding novel functionality not implemented in other software.
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Old World megadroughts and pluvials during the Common Era

Edward R. Cook, +57 more
- 01 Nov 2015 - 
TL;DR: Megadroughts reconstructed over north-central Europe in the 11th and mid-15th centuries reinforce other evidence from North America and Asia that droughts were more severe, extensive, and prolonged over Northern Hemisphere land areas before the 20th century, with an inadequate understanding of their causes.
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Patterns of drought tolerance in major European temperate forest trees: climatic drivers and levels of variability.

TL;DR: These findings may support the idea of deliberately using spontaneous selection and adaption effects as a passive strategy of forest management under climate change conditions, especially a strong directional selection for more tolerant individuals when frequency and intensity of summer droughts will increase in the course of global climate change.
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Dendroclimatic calibration in R: The bootRes package for response and correlation function analysis

TL;DR: Package bootRes for R implements a flexible interface for bootstrapped response and correlation function analysis and tackles some shortcomings of currently available software to facilitate both using R as a computational environment among tree-ring scientists and implementing new approaches to dendroclimatic calibration.