Permafrost degradation alters the environmental signals recorded in tree-ring lignin methoxy group δ2H in northeastern China

Wang, Yabo; Liu, Xiaohong; Treydte, Kerstin; Zhang, Zhongqiong; Kang, Huhu; Zeng, Xiaomin; Xu, Guobao; Wu, Qingbai; Kang, Shichang

doi:10.1016/j.scitotenv.2022.160519

Cited by 3 publications

(2 citation statements)

References 65 publications

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“…April to September in the region [54], we calculated the average temperature and total precipitation over these months. Snow phenology data derived from the China's National Cryosphere Desert Data Center (http://www.ncdc.ac.cn (accessed on 26 May 2022)) was used to obtain information on snow cover duration (October to March of the following year) from 2000 to 2020 for the study area [55].…”

Section: Methodsmentioning

confidence: 99%

“…Monthly maximum and minimum temperature, and total precipitation input from 2001 to 2020 was obtained from TerraClimate [53], which is a monthly climate dataset for global terrestrial surfaces. Considering that the growing season generally spans from April to September in the region [54], we calculated the average temperature and total precipitation over these months. Snow phenology data derived from the China's National Cryosphere Desert Data Center (http://www.ncdc.ac.cn (accessed on 26 May 2022)) was used to obtain information on snow cover duration (October to March of the following year) from 2000 to 2020 for the study area [55].…”

Section: Climate Datamentioning

confidence: 99%

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Distance to a River Modifies Climate Legacy on Vegetation Growth in a Boreal Riparian Forest

Li,

Sun,

Zou

et al. 2023

Remote Sensing

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Inter-annual variability in growing season temperature and precipitation, together with snow coverage duration, determine vegetation growth in boreal ecosystems. However, little is known about the impact of concurrent and antecedent climate, particularly snow cover duration, on vegetation growth in a boreal riparian forest. Additionally, significant uncertainty exists regarding whether the distance to a river (as a proxy of groundwater availability) further modifies these climatic legacy effects on vegetation growth. To fill this knowledge gap, we quantified the responses of different vegetation types (shrub, deciduous coniferous and broadleaf forests) to concurrent and antecedent climate variables in a boreal riparian forest, and further determined the magnitude and duration of climate legacies in relation to distance to a river, using MODIS-derived NDVI time series with gridded climate data from 2001 to 2020. Results showed that higher temperature and precipitation and longer snow cover duration increased vegetation growth. For deciduous coniferous forests and broadleaf forests, the duration of temperature legacy was about one year, precipitation legacy about two years and snow cover duration legacy was 3 to 4 years. Further, distance to a river modified the concurrent and antecedent temperature and snow cover duration legacy effects on vegetation growth, but not that of precipitation. Specifically, temperature and snow cover duration legacies were shorter at the sites near a river compared to sites at greater distance to a river. Our research highlights the importance of snow cover duration on vegetation growth and that closeness to a river can buffer adverse climate impacts by shortening the strength and duration of climate legacies in a boreal riparian forest.

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Section: Methodsmentioning

confidence: 99%