Drought timing and severity affect radial growth of Picea crassifolia at different elevations in the western Qilian Mountains

Zhang, Peng; Jiao, Liang; Wei, Mengyuan; Wu, Xuan; Du, Dashi; Xue, Ruhong

doi:10.1007/s00484-022-02368-1

Cited by 6 publications

(3 citation statements)

References 69 publications

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“…In this study, the SPEI was calculated for multiple time scales (1-24 months) ( Vicente-Serrano et al., 2013 ). The grass reaction time was depicted as the time scale of the highest SPEI-NDVI correlation in Figures 2 , 3 ( Zhang et al., 2022 ).…”

Section: Methodsmentioning

confidence: 99%

“…Regarding vegetation, there is a need to pay more attention to the growing season (seasonal time) of grassland vegetation ( Zhang and Liu, 2014 ; Mina et al., 2016 ), as this is the most severe phase of vegetation drought stress ( Ji and Peters, 2003 ). The grassland vegetation response to drought is not instantaneous but is caused by a cumulative water deficit over time, as reflected in the response time of vegetation to drought (lag effect) ( Zhao et al., 2020 ; Zhang et al., 2022 ). When faced with prolonged drought, grasses also adopt different strategies to adapt to water scarcity, such as closing stomata ( Li and Liu, 2022 ), evolving stronger roots, and even having drought memory ( Yao et al., 2022 ).…”

Section: Introductionmentioning

confidence: 99%

“…The ecosystem is vulnerable to the effects of drought and heat (Yao et al, 2018;Yao et al, 2019). Grasslands are widely distributed in Xinjiang, accounting for 86% of the vegetation, and play an important role in climate regulation, soil and water conservation, wind and sand control, biodiversity conservation, and carbon cycling (Du et al, 2022). Therefore, it is necessary to assess the drought vulnerability of grasslands in Xinjiang and to elucidate the heterogeneity among different climatic regions and grassland types.…”

Section: Introductionmentioning

confidence: 99%

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Probabilistic assessment of drought stress vulnerability in grasslands of Xinjiang, China

et al. 2023

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In the process of climate warming, drought has increased the vulnerability of ecosystems. Due to the extreme sensitivity of grasslands to drought, grassland drought stress vulnerability assessment has become a current issue to be addressed. First, correlation analysis was used to determine the characteristics of the normalized precipitation evapotranspiration index (SPEI) response of the grassland normalized difference vegetation index (NDVI) to multiscale drought stress (SPEI-1 ~ SPEI-24) in the study area. Then, the response of grassland vegetation to drought stress at different growth periods was modeled using conjugate function analysis. Conditional probabilities were used to explore the probability of NDVI decline to the lower percentile in grasslands under different levels of drought stress (moderate, severe and extreme drought) and to further analyze the differences in drought vulnerability across climate zones and grassland types. Finally, the main influencing factors of drought stress in grassland at different periods were identified. The results of the study showed that the spatial pattern of drought response time of grassland in Xinjiang had obvious seasonality, with an increasing trend from January to March and November to December in the nongrowing season and a decreasing trend from June to October in the growing season. August was the most vulnerable period for grassland drought stress, with the highest probability of grassland loss. When the grasslands experience a certain degree of loss, they develop strategies to mitigate the effects of drought stress, thereby decreasing the probability of falling into the lower percentile. Among them, the highest probability of drought vulnerability was found in semiarid grasslands, as well as in plains grasslands and alpine subalpine grasslands. In addition, the primary drivers of April and August were temperature, whereas for September, the most significant influencing factor was evapotranspiration. The results of the study will not only deepen our understanding of the dynamics of drought stress in grasslands under climate change but also provide a scientific basis for the management of grassland ecosystems in response to drought and the allocation of water in the future.

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Section: Methodsmentioning

confidence: 99%