Spatiotemporal Variation of Precipitation Regime in China from 1961 to 2014 from the Standardized Precipitation Index

Yuan, Xiaomin; Ji, Gang

doi:10.3390/ijgi5110194

Cited by 13 publications

(8 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The results from this study showed that Rs decreased from east to west and from south to north in China. A possible reason for the east‐to‐west gradient is the fact that Pm in China, which is positively correlated with Rs (Table S1; Yuan et al, 2016), decreases from east to west. Also, a possible reason for the south‐to‐north gradient may be linked to the spatial patterns of Pm and Tm in China, which are much higher in the south than in the north.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Soil respiration spatial and temporal variability in China between 1961 and 2014

Yuan

Steele

et al. 2020

European J Soil Science

Self Cite

View full text Add to dashboard Cite

Soil respiration (Rs) plays an important role in terrestrial–atmospheric carbon exchange but remains one of the least studied components of the carbon cycle. How environmental changes influence Rs, and in turn, how Rs influences terrestrial carbon storage in China is unclear. Here, we estimated spatial patterns and temporal trends in Rs from 1961 to 2014 to determine the influence of the recent warming hiatus on the Rs temporal variability in China. We evaluated the relationship between Rs and a set of environmental factors and developed biome‐specific Rs models that were parameterized based on 2,862 Rs records and 18 continuous variables (e.g., air temperature, precipitation and leaf area index). Based on the biome‐specific Rs models and environmental information, we estimated the annual Rs as well as the change trend of Rs in China during the study period. The mean annual Rs from 1961 to 2014 was 3.50 (confidence interval ± 0.87) Pg·C·year−1. Rs in China increased at a rate of 0.008 Pg·C·year−2 between 1982 and 1998 (warming period), but was static between 1999 and 2014 (warming hiatus). This reduction in Rs increase rate may have an important role in enhancing terrestrial carbon sequestration. These findings confirm that temporal heterogeneity in Rs could be influenced by regional environmental changes, and further help in improving the understanding of soil carbon dynamics in China.Highlights No study in China has integrated multiple biotic and abiotic factors and analysed how soil respiration correlates with different factors across biomes. In this study, biome‐specific models, including biotic and abiotic factors, were developed to estimate soil respiration in China. Annual soil respiration in China was estimated to be 3.50 (confidence interval ± 0.87) Pg·C·year‐1. Annual soil respiration in China had greater deceleration compared to the global deceleration between 1999 and 2014.

show abstract

Section: Discussionmentioning

confidence: 99%

“…When given a significant level of α = 0.05, | τ | ≥ 0.184 indicates a significant trend. More details on the Mann‐Kendall nonparametric correlation test can be found in Yuan, Jian, and Jiang (2016).…”

Section: Methodsmentioning

confidence: 99%

Soil respiration spatial and temporal variability in China between 1961 and 2014

Yuan

Steele

et al. 2020

European J Soil Science

Self Cite

View full text Add to dashboard Cite

show abstract

“…The temperature of colder regions is increasing at higher rate compared to the rest of the globe, and almost 1,700 Pg of organic carbon is stored in the permafrost (Tarnocai et al, 2009). However, substantial uncertainty still exists in the response of primary productivity to CO 2 fertilization (Korner et al, 2005;Norby et al, 2005Norby et al, , 2010 and global warming induced drought at regional and global scales (Yuan et al, 2016;Zhao & Running, 2010). Given the larger increases in rate observed in this study, the loss of soil carbon stocks may be towards the upper end (around 200 Pg C) of the uncertainty bounds if human emissions are not limited , mainly driven by carbon losses in colder climates.…”

Section: 1029/2018ef000937mentioning

confidence: 99%

“…An increase in primary production carbon may offset losses from soil respiration, as a recent study found that the rate of net biome productivity (which is the difference between net primary production and autotrophic respiration) has significantly accelerated during the warming hiatus Ballantyne et al, 2017). However, substantial uncertainty still exists in the response of primary productivity to CO 2 fertilization (Korner et al, 2005;Norby et al, 2005Norby et al, , 2010 and global warming induced drought at regional and global scales (Yuan et al, 2016;Zhao & Running, 2010).…”

Section: 1029/2018ef000937mentioning

confidence: 99%

Future Global Soil Respiration Rates Will Swell Despite Regional Decreases in Temperature Sensitivity Caused by Rising Temperature

2018

Self Cite

View full text Add to dashboard Cite

Between 1960 and, the global soil respiration (R SG ) flux increased at a rate of 0.05 Pg C year À1 ; however, future increase is uncertain due to variations in projected temperature and regional heterogeneity. Regional differences in the sensitivity of soil respiration (R S ) to temperature may alter the overall increase in rates of R S because the R S rates of some regions may decelerate while others continue to rise. Using monthly global R S data, we modeled the relationship between R S and temperature for the globe and eight climate regions and estimated R SG between 1961and 2100 using historical and future (2015-2100) temperature data [Representative Concentration Pathways (RCP2.6 and RCP8.5)]. Importantly, our approach allowed for estimation of regional sensitivity, where respiration rates may peak or decline as temperature rises. Estimated historical R SG increase (0.05 Pg C year À1 ) was similar to the R SG increase of previous estimates. However, under the RCP8.5 scenario, which estimates approximately 3°C of warming globally, the forecasted acceleration of R SG increased to an average of 0.12 Pg C year À1 . Under RCP8.5, the temperature sensitivity of R S declined in the arid, winter-dry temperate, and tropic. These regional declines were offset by increased R S sensitivity and fluxes from the boreal and polar regions. In contrast, under RCP2.6 R SG decelerated slightly from current rates. If rising greenhouse gas emission remains unmitigated, future increases in R SG will be much faster than current and historical rates, thereby possibly enhancing future losses of soil carbon and contributing to positive feedback loops of climate change.

show abstract

“…There is no unified standard for the definition of CDHEs, because drought events and heatwave events correspond to a variety of definitions. Drought events are usually defined by various indicators, such as the standardized precipitation index (SPI) [8,9], the standardized precipitation evapotranspiration index [10,11], and the Palmer drought severity index [12,13]. Heatwave events are mainly defined by relative thresholds (percentile thresholds), absolute thresholds, and durations [14,15].…”

Section: Introductionmentioning

confidence: 99%

The Study on Compound Drought and Heatwave Events in China Using Complex Networks

Wang

Liu

2021

Sustainability

View full text Add to dashboard Cite

Compound extreme events can severely impact water security, food security, and social and economic development. Compared with single-hazard events, compound extreme events cause greater losses. Therefore, understanding the spatial and temporal variations in compound extreme events is important to prevent the risks they cause. Only a few studies have analyzed the spatial and temporal relations of compound extreme events from the perspective of a complex network. In this study, we define compound drought and heatwave events (CDHEs) using the monthly scale standard precipitation index (SPI), and the definition of a heatwave is based on daily maximum temperature. We evaluate the spatial and temporal variations in CDHEs in China from 1961 to 2018 and discuss the impact of maximum temperature and precipitation changes on the annual frequency and annual magnitude trends of CDHEs. Furthermore, a synchronization strength network is established using the event synchronization method, and the proposed synchronization strength index (SSI) is used to divide the network into eight communities to identify the propagation extent of CDHEs, where each community represents a region with high synchronization strength. Finally, we explore the impact of summer Atlantic multidecadal oscillation (AMO) and Pacific decadal oscillation (PDO) on CDHEs in different communities. The results show that, at a national scale, the mean frequency of CDHEs takes on a non-significant decreasing trend, and the mean magnitude of CDHEs takes on a non-significant increasing trend. The significant trends in the annual frequency and annual magnitude of CDHEs are attributed to maximum temperature and precipitation changes. AMO positively modulates the mean frequency and mean magnitude of CDHEs within community 1 and 2, and negatively modulates the mean magnitude of CDHEs within community 3. PDO negatively modulates the mean frequency and mean magnitude of CDHEs within community 4. AMO and PDO jointly modulate the mean magnitude of CDHEs within community 6 and 8. Overall, this study provides a new understanding of CDHEs to mitigate their severe effects.

show abstract

Spatiotemporal Variation of Precipitation Regime in China from 1961 to 2014 from the Standardized Precipitation Index

Cited by 13 publications

References 28 publications

Soil respiration spatial and temporal variability in China between 1961 and 2014

Soil respiration spatial and temporal variability in China between 1961 and 2014

Future Global Soil Respiration Rates Will Swell Despite Regional Decreases in Temperature Sensitivity Caused by Rising Temperature

The Study on Compound Drought and Heatwave Events in China Using Complex Networks

Contact Info

Product

Resources

About