2021
DOI: 10.1016/j.agrformet.2021.108611
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Dryness decreases average growth rate and increases drought sensitivity of Mongolia oak trees in North China

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Cited by 12 publications
(6 citation statements)
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“…The dry-range-sensitive hypothesis predicts that trees growing in drier portions of their range are the most drought sensitive. Trees growing in resource-poor conditions-for example, shallow soils, steep slopes, and aspects exposed to greater solar radiation-are often more climate and drought sensitive (14)(15)(16). Similarly, many studies have observed greater reductions in radial growth during drought at drier sites than at more-mesic sites (15,(17)(18)(19)(20)(21)(22).…”
mentioning
confidence: 99%
“…The dry-range-sensitive hypothesis predicts that trees growing in drier portions of their range are the most drought sensitive. Trees growing in resource-poor conditions-for example, shallow soils, steep slopes, and aspects exposed to greater solar radiation-are often more climate and drought sensitive (14)(15)(16). Similarly, many studies have observed greater reductions in radial growth during drought at drier sites than at more-mesic sites (15,(17)(18)(19)(20)(21)(22).…”
mentioning
confidence: 99%
“…Conversely, in dry regions, decreasing soil moisture exacerbates drought stress and limited photosynthesis (Cai et al., 2009; Grillakis, 2019). Although a global synthesis is missing, observations in semi‐arid forests have also reported increased drought sensitivity for tree growth during the recent decade (Linares et al., 2011; Zhang et al., 2021). Thus, our result points out a greater potential for drought‐induced land carbon loss in arid and semi‐arid ecosystems under climate changes.…”
Section: Discussionmentioning
confidence: 99%
“…mongolica. Q. mongolica (qm) is a widely distributed tree species in the broadleaf forests of Northeast China and is susceptible to aggravated drought [61]. It has great value as a highly exploited forest resource and is also included in the list of 100 forest plant species vulnerable to climate change [62].…”
Section: Sampled Tree Speciesmentioning
confidence: 99%