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Long-term effects of drought on tree-ring growth and carbon isotope variability in Scots pine in a dry environment

descriptionPublicationkeyboard_double_arrow_right Article , Journal 21 Apr 2017Embargo end date: 01 Jan 2017 Switzerland Publisher:Oxford University Press (OUP)Journal:Tree Physiology, volume 37, pages 1,028-1,041 (issn: 0829-318X, eissn: 1758-4469,

Authors: Kerstin Treydte; Andreas Rigling; Marcus Schaub; Rolf T. W. Siegwolf; Rolf T. W. Siegwolf; Galina Timofeeva; Galina Timofeeva; +4 Authors

doi: 10.1093/treephys/tpx041 , 10.3929/ethz-b-000190975

pmid: 28444356

Long-term effects of drought on tree-ring growth and carbon isotope variability in Scots pine in a dry environment

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Abstract

Tree Physiology, 37 (8)

ISSN:0829-318X

ISSN:1758-4469

Country

Switzerland

Related Organizations

Swiss Federal Institute for Forest, Snow and Landscape Research
Switzerland
RERO - Library Network of Western Switzerland
Switzerland
Swiss Federal Institute for Forest, Snow and Landscape Research
Switzerland
ETH Zurich
Switzerland
Paul Scherrer Institute
Switzerland

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Keywords

Carbon Isotopes, vapor pressure deficit, Pinus sylvestris, tree decline, Carbon Cycle, Droughts, Trees, tree mortality, Climate change, Climate change; tree decline; tree mortality; vapor pressure deficit; water-use efficiency, water-use efficiency, Switzerland

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Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	93
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 1%