Spatial and Temporal Variability of Precipitation and Dryness/Wetness During 1961–2008 in Sichuan Province, West China

Huang, Jin; Sun, Shurong; Xue, Yan; Li, Jinjian; Zhang, Jinchi

doi:10.1007/s11269-014-0572-8

Cited by 53 publications

(23 citation statements)

References 16 publications

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“…To define and identify extreme drought years, this study adopted the Standardized Precipitation Index (SPI), a drought index that has been widely used worldwide and was relevant to evaluate ecosystem services (Zhang et al, 2009;Zhao et al, 2011;Huang et al, 2014aHuang et al, , 2014b. This approach was designed to monitor droughts based on the long-term monthly precipitation data over a given period (McKee et al, 1993).…”

Section: Defining Top-5 Droughtsmentioning

confidence: 99%

“…This approach was designed to monitor droughts based on the long-term monthly precipitation data over a given period (McKee et al, 1993). After fitting a Gamma distribution and transforming precipitation to a normal distribution by an equal probability transformation, the SPI was estimated as precipitation anomaly divided by the standard deviation of the transformed data (Huang et al, 2014a(Huang et al, , 2014b. The SPI tracks droughts at different time-scales, i.e., 1-, 3-, 6-, 12-, and 24-month, and is flexible with respect to the period chosen (Raziei et al, 2009).…”

Section: Defining Top-5 Droughtsmentioning

confidence: 99%

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Drought impacts on ecosystem functions of the U.S. National Forests and Grasslands: Part II assessment results and management implications

Sun

Caldwell

et al. 2015

Forest Ecology and Management

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a b s t r a c tThe 781,000 km 2 (193 million acre) United States National Forests and Grasslands system (NF) provides important ecosystem services such as clean water supply, timber production, wildlife habitat, and recreation opportunities to the American public. Quantifying the historical impacts of climate change and drought on ecosystem functions at the national scale is essential to develop sound forest management and watershed restoration plans under a changing climate. This study applied the previously validated Water Supply and Stress Index model (WaSSI) to 170 NFs in the conterminous U.S. (CONUS) to examine how historical extreme droughts have affected forest water yield (Q) and gross primary productivity (GPP). For each NF, we focused on the five years with the lowest annual SPI3 (Standardized Precipitation Index on a 3-month time scale) during 1962-2012. The extent of extreme droughts as measured by the number of NFs and total area affected by droughts has increased during the last decade. Across all lands in CONUS, the most extreme drought during the past decade occurred in 2002, resulting in a mean reduction of Q by 32% and GPP by 20%. For the 170 individual NFs, on average, the top-five droughts represented a reduction in precipitation by 145 mm yr À1 (or 22%), causing reductions in evapotranspiration by 29 mm yr À1 (or 8%), Q by 110 mm yr À1 (or 37%) and GPP by 65 gC m À2 yr À1 (or 9%). The responses of the forest hydrology and productivity to the top-five droughts varied spatially due to different land-surface characteristics (e.g., climatology and vegetation) and drought severity at each NF. This study provides a comprehensive benchmark assessment of likely drought impacts on the hydrology and productivity in NFs using consistent methods and datasets across the conterminous U.S. The study results are useful to the forestry decision makers for developing appropriate strategies to restore and protect ecosystem services in anticipating potential future droughts and climate change.Published by Elsevier B.V.

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Section: Defining Top-5 Droughtsmentioning

confidence: 99%

Section: Defining Top-5 Droughtsmentioning

confidence: 99%

Drought impacts on ecosystem functions of the U.S. National Forests and Grasslands: Part II assessment results and management implications

Sun

Caldwell

et al. 2015

Forest Ecology and Management

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“…These natural hazards could have profound impacts on both human society and the natural environment. There is no doubt that regions such as southwest China have become more vulnerable to soil erosion, flood, and drought due to an increasing population and future climate change (Huang et al 2014;Liu et al 2009Liu et al , 2010. According to Yang (1988), the rate of rock desertification in Guizhou was 933 km 2 year −1 in the 1980s, and the soil loss tolerance of the karst areas in southwest China has been calculated as 30-68 Mgkm −2 a −1 by different groups (Cao et al 2008;Chai 1989;Wei 1995).…”

Section: Introductionmentioning

confidence: 99%

Spatial Distribution and Temporal Trends in Precipitation Concentration Indices for the Southwest China

Shi

et al. 2015

Water Resour Manage

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Changes in the spatiotemporal patterns of precipitation have great impacts on drought/flood risk and utilization of water resources. In this study, we presented the results of a comparative analysis of spatial-temporal variability of precipitation in the Southwest China. The analysis investigated the trends of annual precipitation and explored the changes of two indices: the precipitation concentration index (PCI) and the concentration index (CI) which are designed for measuring seasonality and daily heterogeneity, respectively. The trends of annual precipitation and CI were tested by the Mann-Kendall method. The results show a significant seasonality of the rainfall distribution and very inhomogeneous temporal distribution of the daily rainfall in the study area. Positive trends in the CI were found at most stations, although most of them were not statistically significant. To detect the futures trends of precipitation in the study area, Hurst's rescaled range (R/S) analysis was introduced and the corresponding Hurst Exponent was estimated. The results suggested that some drought hazards will happen in the intersection of Sichuan, Guizhou and Yunnan, and the west part of Sichuan, the north part of Chongqing and the middle part of Yunnan are under the risk of flood in the future.

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“…It is based on the long-term monthly precipitation data at a given period. After fitting a Gamma distribution and transforming it to a normal distribution by an equal probability transformation, the SPI is computed as the precipitation anomaly of the transformed data, divided by the standard deviation of the transformed data (Bordi et al, 2004a;Huang et al, 2014). Once the SPI is calculated, the intensities of dry and wet events are classified as displayed in Table 2.…”

Section: Standardized Precipitation Index (Spi)mentioning

confidence: 99%

Spatial and temporal variability of drought during 1960–2012 in Inner Mongolia, north China

Huang

Xue

Sun

et al. 2015

Quaternary International

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Spatial and Temporal Variability of Precipitation and Dryness/Wetness During 1961–2008 in Sichuan Province, West China

Cited by 53 publications

References 16 publications

Drought impacts on ecosystem functions of the U.S. National Forests and Grasslands: Part II assessment results and management implications

Drought impacts on ecosystem functions of the U.S. National Forests and Grasslands: Part II assessment results and management implications

Spatial Distribution and Temporal Trends in Precipitation Concentration Indices for the Southwest China

Spatial and temporal variability of drought during 1960–2012 in Inner Mongolia, north China

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