Literature DB >> 25187568

Drought stress, growth and nonstructural carbohydrate dynamics of pine trees in a semi-arid forest.

Tamir Klein1, Günter Hoch2, Dan Yakir3, Christian Körner2.   

Abstract

In trees exposed to prolonged drought, both carbon uptake (C source) and growth (C sink) typically decrease. This correlation raises two important questions: (i) to what degree is tree growth limited by C availability; and (ii) is growth limited by concurrent C storage (e.g., as nonstructural carbohydrates, NSC)? To test the relationships between drought, growth and C reserves, we monitored the changes in NSC levels and constructed stem growth chronologies of mature Pinus halepensis Miller trees of three drought stress levels growing in Yatir forest, Israel, at the dry distribution limit of forests. Moderately stressed and stressed trees showed 34 and 14% of the stem growth, 71 and 31% of the sap flux density, and 79 and 66% of the final needle length of healthy trees in 2012. In spite of these large reductions in growth and sap flow, both starch and soluble sugar concentrations in the branches of these trees were similar in all trees throughout the dry season (2-4% dry mass). At the same time, the root starch concentrations of moderately stressed and stressed trees were 47 and 58% of those of healthy trees, but never <2% dry mass. Our results show that all the studied trees maintain a fairly good coordination between C supply and demand, and even during prolonged drought there is more than one way for a tree to maintain a positive C balance.
© The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  carbon balance; carbon transport; phloem; tree rings

Mesh:

Year:  2014        PMID: 25187568     DOI: 10.1093/treephys/tpu071

Source DB:  PubMed          Journal:  Tree Physiol        ISSN: 0829-318X            Impact factor:   4.196


  13 in total

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10.  Predicting Pinus monophylla forest cover in the Baja California Desert by remote sensing.

Authors:  Jonathan G Escobar-Flores; Carlos A Lopez-Sanchez; Sarahi Sandoval; Marco A Marquez-Linares; Christian Wehenkel
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