期刊
AGRICULTURAL AND FOREST METEOROLOGY
卷 336, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.agrformet.2023.109495
关键词
Autumn phenology; Extreme climate; Extremely warm; Heat waves; Grasslands
This study examines the spatial and temporal patterns of the end of the growing season (EOS) and extreme climate events in temperate and alpine grasslands of China from 1982 to 2015. It finds a significant advance trend of EOS in temperate grasslands and a slight delaying trend in alpine grasslands. The study also shows that extreme warm climate has a negative correlation with EOS in alpine grasslands. Therefore, understanding the effects of different extreme climate factors on autumn phenology and carbon cycling is crucial.
The frequency and intensity of extreme climate events are expected to increase and have a significant impact on terrestrial ecosystems and the carbon cycle. However, the effects of these events on the end of the growing season (EOS), a crucial phenological phase, are still unclear. Here, we first examined the spatiotemporal patterns of the EOS and extreme climate events in contrasting temperate and alpine grasslands of China during 1982-2015. Then we investigated the effects and mechanisms of the extreme climate factors (i.e., extremely warm, extremely cold, extremely dry, and extremely wet) on EOS based on partial correlation analysis. Our results showed a significant advance trend of EOS in the temperate grasslands (-1.82 days decade-1) while a slightly delaying trend in the alpine grasslands (0.27 days per decade). For both grasslands, we found increased extremely warm climate as represented by the Warm spell duration indicator (WSDI) and decreased trends in extremely cold (Cold spell duration indicator, CSDI), extremely dry (Dry spell duration indicator, CDD), and extremely wet (Wet spell duration indicator, CWD). We found a significant negative correlation between WSDI and EOS in the alpine grassland, while this relationship in temperate grasslands was more complex. Multiple factors such as the vapor pressure deficit (VPD), soil moisture, and solar radiation, might be responsible for these patterns. Besides, EOS exhibited neither dominant-negative nor dominant-positive responses to CSDI (extreme cold), CDD (extremely dry), and CWD (extremely wet), with varying responses among biomes and for soil moisture levels. Our findings demonstrate that various extreme climate factors need to be considered to improve autumn phenology pre-dictions and our understanding of the impact on the carbon balance in a changing climate.
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