Shuyao Liu, Wenqing Zhang, Liu Liu, Depeng Zuo, Lei Cheng
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引用次数: 0
Abstract
Global climate change has intensified the frequency and severity of compound dry-hot events (CDHEs), posing more severe impacts on terrestrial ecosystems than individual extremes, particularly in Northwest China (NWC). However, a comprehensive probabilistic assessment of vegetation vulnerability under CDHEs, particularly, the identification of triggering thresholds for vegetation loss remains limited. This study employed standardised indices of vegetation (NDVI), drought (SPI) and hot conditions (STI) from 1982 to 2018 to develop a Vine copula framework for assessing vegetation vulnerability under CDHEs and identifying the corresponding triggering thresholds for vegetation loss. The results demonstrated that the standardised compound event indicator (SCEI) in NWC indicated a decreasing trend (−0.12 decade−1), reflecting the intensification of CDHEs. This intensification of CDHEs has led to greater ecosystem vulnerability in NWC. Under Severe Dry-Severe Hot conditions (S4: SPI < −1.3 and STI > 1.3), the average probabilities of vegetation loss below the 50th, 30th, 20th and 10th percentiles were 51.2%, 42.3%, 36.2% and 27.2%, respectively. Different vegetation types (croplands, forests and grasslands) exhibited distinct vulnerability patterns, with grasslands being the most sensitive and forests the least. The average SPI/STI thresholds corresponding to vegetation loss below the 50th percentile (mild) and 10th percentile (extreme) were −0.71/0.72 and −1.08/1.35, respectively. It could provide a novel framework for assessing vegetation vulnerability under CDHEs, while simultaneously offering a profound comprehension of ecosystems' response mechanisms to CDHEs.
期刊介绍:
The International Journal of Climatology aims to span the well established but rapidly growing field of climatology, through the publication of research papers, short communications, major reviews of progress and reviews of new books and reports in the area of climate science. The Journal’s main role is to stimulate and report research in climatology, from the expansive fields of the atmospheric, biophysical, engineering and social sciences. Coverage includes: Climate system science; Local to global scale climate observations and modelling; Seasonal to interannual climate prediction; Climatic variability and climate change; Synoptic, dynamic and urban climatology, hydroclimatology, human bioclimatology, ecoclimatology, dendroclimatology, palaeoclimatology, marine climatology and atmosphere-ocean interactions; Application of climatological knowledge to environmental assessment and management and economic production; Climate and society interactions