Spatiotemporal analysis of climate variability (1971–2010) in spring and summer on the Loess Plateau, China

Zhang, Baoqing; Wu, Pute; Zhao, Xining; Gao, Xiaodong

doi:10.1002/hyp.9724

Cited by 34 publications

(22 citation statements)

References 51 publications

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“…2 Comparison of the observation and simulation runoff in the HYRB the study area in the HYRB had a dryer and warmer climate during the past half-century. This phenomenon was also found in other region of Yellow River Basin (Zhang et al 2013). …”

Section: Trends Of Precipitation and Mean Temperaturementioning

confidence: 73%

Spatiotemporal Change of Blue Water and Green Water Resources in the Headwater of Yellow River Basin, China

Zhang

Zha

et al. 2014

Water Resour Manage

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The headwater of Yellow River Basin (HYRB) is crucial for the water resources of the whole basin in Northwest China. Based on the semi-distributed hydrological model "Soil and Water Assessment Tool" (SWAT), the spatiotemporal change trends of blue water and green water resources in the HYRB were analyzed quantificationally. By using the Sequential Uncertainty Fitting program (SUFI-2), the model was calibrated at Tangnaihai hydrological station and uncertainty analysis was performed. The results showed that the total water resources decreased by 1.08 billion m 3 over the past five decades in the HYRB. Blue water and green water storage (soil water) presented the downtrend, while green water flow (actual evapotranspiration) increased between 1961 and 2010. The decrease in blue water resources were mainly attributed to the decrease in precipitation in the southwest parts of the study area while the increase in actual evapotranspiration and the decrease in soil water were the results of the uptrend of air temperature. In 1990s, an enormous transition occurred between the blue water (24.86 %) and green water flow (63.46 %). At seasonal scale, the largest down trend of blue water and uptrend of actual evapotranspiration all occurred in autumn. The decrease ratios of them were 88.3 and 83.1 % in inter-annual variation, respectively. The study can provided a scientific basis for integrated water resources management under the background of global climate change and human activity.

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Section: Trends Of Precipitation and Mean Temperaturementioning

confidence: 73%

Spatiotemporal Change of Blue Water and Green Water Resources in the Headwater of Yellow River Basin, China

Zhang

Zha

et al. 2014

Water Resour Manage

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“…When there are more ground snow observations (i.e., snow depth, SWE, and snowmelt) available in the UYR basin at a proper resolution, the validation would be much more reasonable. Improvements of climate model simulations, bias correction methods, and the quality of in situ and satellite observations are beyond the scope of this work but are even crucial for climate change‐related studies (Ma et al, ; B. Q. Zhang et al, ), which deserve to be further explored in future studies.…”

Section: Resultsmentioning

confidence: 99%

Snow Hydrology in the Upper Yellow River Basin Under Climate Change: A Land Surface Modeling Perspective

Liu

Sun

et al. 2018

JGR Atmospheres

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Snow has been widely recognized as a crucial component of water resources and is expected to be vulnerable to climate change in cold and mountainous regions. Here we projected climate change impacts on snow hydrology in the upper Yellow River (UYR) basin through a distributed biosphere hydrological model with improved snow physics, forced with Inter‐Sectoral Impact Model Intercomparison Project climate model outputs under two emission scenarios (representative concentration pathways, RCP4.5 and RCP8.5) during the period of 1996–2025. The results indicated that the climate in the UYR basin is turning warmer and wetter. In this context, more precipitation would occur as rain (snow‐to‐precipitation ratio would decrease accordingly). The total runoff generation would increase slightly with increased precipitation. The simulated snow depth and snow water equivalent would decrease by 33% and 19% per 1 °C warming under the RCP4.5. These declined rates would further enlarge under the RCP8.5. Accordingly, the multimodel ensemble mean snowmelt‐to‐runoff ratio decreases by 9% and 7% per 1 °C warming under the two emission scenarios. The projected responses of snow hydrology (e.g., snow depth, snow water equivalent, and snowmelt) to the changing climate in the UYR basin are consistent among different climate models and RCP scenarios, which would provide valuable insights for water resources management, environmental protection, and climate change adaption in high mountainous basins and their downstream regions.

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“…In summer, most areas in the ASAC show a negative correlation between NPP and temperature. Multiple studies have pointed out that the summer drought trend in the ASAC is worsening Ren et al, 2014;Zhang et al, 2014). In this water-limited region, when temperature increases by 0.5-2.0 ℃ , evapotranspiration will rise 0.2-2.0 mm/d (Mabutt, 1989;Greco et al, 1994).…”

Section: Discussionmentioning

confidence: 99%

Impacts of climate change on net primary productivity in arid and semiarid regions of China

Wang

et al. 2015

Chin. Geogr. Sci.

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Abstract:In recent years, with the constant change in the global climate, the effect of climate factors on net primary productivity (NPP) has become a hot research topic. However, two opposing views have been presented in this research area: global NPP increases with global warming, and global NPP decreases with global warming. The main reasons for these two opposite results are the tremendous differences among seasonal and annual climate variables, and the growth of plants in accordance with these climate variables. Therefore, it will fail to fully clarify the relation between vegetation growth and climate changes by research that relies solely on annual data. With seasonal climate variables, we may clarify the relation between vegetation growth and climate changes more accurately. Our research examined the arid and semiarid areas in China (ASAC), which account for one quarter of the total area of China. The ecological environment of these areas is fragile and easily affected by human activities. We analyzed the influence of climate changes, especially the changes in seasonal climate variables, on NPP, with Climatic Research Unit (CRU) climatic data and Moderate Resolution Imaging Spectroradiometer (MODIS) satellite remote data, for the years 2000-2010. The results indicate that: for annual climatic data, the percentage of the ASAC in which NPP is positively correlated with temperature is 66.11%, and 91.47% of the ASAC demonstrates a positive correlation between NPP and precipitation. Precipitation is more positively correlated with NPP than temperature in the ASAC. For seasonal climatic data, the correlation between NPP and spring temperature shows significant regional differences. Positive correlation areas are concentrated in the eastern portion of the ASAC, while the western section of the ASAC generally shows a negative correlation. However, in summer, most areas in the ASAC show a negative correlation between NPP and temperature. In autumn, precipitation is less important in the west, as opposed to the east, in which it is critically important. Temperatures in winter are a limiting factor for NPP throughout the region. The findings of this research not only underline the importance of seasonal climate variables for vegetation growth, but also suggest that the effects of seasonal climate variables on NPP should be explored further in related research in the future. Keywords: climate change; net primary productivity (NPP); annual/seasonal variability; trend analysis; arid/semiarid regions of China (ASAC) Citation: Wang Hao, Liu Guohua, Li Zongshan, Ye Xin, Wang Meng, Gong Li, 2016. Impacts of climate change on net primary productivity in arid and semiarid regions of China.

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Spatiotemporal analysis of climate variability (1971–2010) in spring and summer on the Loess Plateau, China

Cited by 34 publications

References 51 publications

Spatiotemporal Change of Blue Water and Green Water Resources in the Headwater of Yellow River Basin, China

Spatiotemporal Change of Blue Water and Green Water Resources in the Headwater of Yellow River Basin, China

Snow Hydrology in the Upper Yellow River Basin Under Climate Change: A Land Surface Modeling Perspective

Impacts of climate change on net primary productivity in arid and semiarid regions of China

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