Rapid warming accelerates tree growth decline in semi-arid forests of Inner Asia

Forests around the world are subject to risk of high rates of tree growth decline and increased tree mortality from combinations of climate warming and drought, notably in semi‐arid settings. Here, we assess how climate warming has affected tree growth in one of the world's most extensive zones...

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Published inGlobal change biology Vol. 19; no. 8; pp. 2500 - 2510
Main Authors Liu, Hongyan, Park Williams, A., Allen, Craig D., Guo, Dali, Wu, Xiuchen, Anenkhonov, Oleg A., Liang, Eryuan, Sandanov, Denis V., Yin, Yi, Qi, Zhaohuan, Badmaeva, Natalya K.
Format Journal Article
LanguageEnglish
Published England Blackwell Publishing Ltd 01.08.2013
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Summary:Forests around the world are subject to risk of high rates of tree growth decline and increased tree mortality from combinations of climate warming and drought, notably in semi‐arid settings. Here, we assess how climate warming has affected tree growth in one of the world's most extensive zones of semi‐arid forests, in Inner Asia, a region where lack of data limits our understanding of how climate change may impact forests. We show that pervasive tree growth declines since 1994 in Inner Asia have been confined to semi‐arid forests, where growing season water stress has been rising due to warming‐induced increases in atmospheric moisture demand. A causal link between increasing drought and declining growth at semi‐arid sites is corroborated by correlation analyses comparing annual climate data to records of tree‐ring widths. These ring‐width records tend to be substantially more sensitive to drought variability at semi‐arid sites than at semi‐humid sites. Fire occurrence and insect/pathogen attacks have increased in tandem with the most recent (2007–2009) documented episode of tree mortality. If warming in Inner Asia continues, further increases in forest stress and tree mortality could be expected, potentially driving the eventual regional loss of current semi‐arid forests.
Bibliography:istex:EA8203A9290248BA88DF69787BE2C3C18E0F17C0
DOE-BER
LANL-LDRD
Russian Foundation of Basic Research - No. 13-04-91180; No. 10-04-91159
National Natural Science Foundation of China - No. 41071124; No. 40711120173; No. 41011120251
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Figure S1. Various records of precipitation and Tmax in the study region. (a) mean annual precipitation Map of (dots) locations where tree-ring chronologies were collected. Brown and blue dots represent semi-arid and semi-humid sites, respectively. Figure S2. Panels (a) and (b) show box plots of correlation coefficients of RWI with precipitation and daily maximum temperatures (Tmax) during all 3-month periods in a 24-month window that begins in the January of the year before that growing season. Figure S3.Same as Fig. S2, but for potential evaporation (PET) from Sheffield et al. ().
ArticleID:GCB12217
US Geological Survey Climate
Land Use Change Program
SourceType-Scholarly Journals-1
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ISSN:1354-1013
1365-2486
DOI:10.1111/gcb.12217