Towards more accurate vegetation mortality predictions

Sevanto, Sanna Annika; Xu, Chonggang

doi:10.1093/treephys/tpw082

Title: Towards more accurate vegetation mortality predictions

Journal Article · Mon Sep 26 00:00:00 EDT 2016 · Tree Physiology

DOI:https://doi.org/10.1093/treephys/tpw082· OSTI ID:1342863

^[1]; Xu, Chonggang ^[1]

Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

Predicting the fate of vegetation under changing climate is one of the major challenges of the climate modeling community. Here, terrestrial vegetation dominates the carbon and water cycles over land areas, and dramatic changes in vegetation cover resulting from stressful environmental conditions such as drought feed directly back to local and regional climate, potentially leading to a vicious cycle where vegetation recovery after a disturbance is delayed or impossible.

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Research Organization:: Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)

Sponsoring Organization:: USDOE Laboratory Directed Research and Development (LDRD) Program

Grant/Contract Number:: AC52-06NA25396

OSTI ID:: 1342863

Report Number(s):: LA-UR-16-23785

Journal Information:: Tree Physiology, Vol. 36, Issue 10; ISSN 0829-318X

Publisher:: Oxford University PressCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 4 works

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Cited By (1)

Stomatal behaviour and stem xylem traits are coordinated for woody plant species under exceptional drought conditions: Xylem and stomata under extreme drought Pivovaroff, Alexandria L.; Cook, Victoria M. W.; Santiago, Louis S. Plant, Cell & Environment, Vol. 41, Issue 11 https://doi.org/10.1111/pce.13367	journal	August 2018

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