Climate Change in China

Shen, Dajun; Varis, Olli

doi:10.1579/0044-7447-30.6.381

Cited by 57 publications

(23 citation statements)

References 3 publications

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“…A possible reason is that the aerosol particle vertical distribution in the troposphere moves up (Qiu and Yang 2000). Although the climate data used were obtained from the weather stations in four capital cities, the current observations of decreased radiation, increased FDR, increase in temperature and decline in rainfall are consistent with the regional study results, such as radiation trends by Che et al (2005Che et al ( , 2007, rainfall trends by Liu et al (2005) and temperature trends by Shen and Varis (2001) and Tao et al (2003). Thus, the climatic trends in this study are reasonable and the simulation results based on the observation data are presentative in the NCP.…”

Section: Discussionsupporting

confidence: 83%

“…A significant decrease in global solar radiation was found since 1961 due to increased aerosol in the atmosphere as a result of increased industrial activities (Che et al 2005;Shi et al 2008), which has led to an increase in the fraction of diffuse radiation (FDR) (Che et al 2005(Che et al , 2007. Air temperature has been rising, especially since the 1980s (Shen and Varis 2001;Tao et al 2003;Ren et al 2008), while annual precipitation showed a decreasing trend in the NCP (Varis and Vakkilainen 2001;Qian and Lin 2005;Liu et al 2005). A detailed understanding of how such changes in climate has impacted on the processes governing crop production and water use, and how agricultural management has evolved in the changing climate can provide useful insights for the development of sustainable agricultural systems in the face of future climate change.…”

Section: Introductionmentioning

confidence: 99%

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Quantifying the effects of climate trends in the past 43 years (1961–2003) on crop growth and water demand in the North China Plain

et al. 2009

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This paper explores changes in climatic variables, including solar radiation, rainfall, fraction of diffuse radiation (FDR) and temperature, during wheat season (October to May) and maize season (June to September) from 1961 to 2003 at four sites in the North China Plain (NCP), and evaluates the effects of these changes on crop growth processes, productivity and water demand by using the Agricultural Production Systems Simulator. A significant decline in radiation and rainfall was detected during the 43 years, while both temperature and FDR exhibit an increasing trend in both wheat and maize seasons. The average trend of each climatic variable for each crop season from the four sites is that radiation decreased by 13.2 and 6.2 MJ m −2 a −1 , precipitation decreased by 0.1 and 1.8 mm a −1 , minimum temperature increased by 0.05 and 0.02• C a −1 , maximum temperature increased by 0.03 and 0.01• C a −1 , FDR increased by 0.21 and 0.38% a −1 during wheat and maize season, respectively. Simulated crop water demand and potential yield was significantly decreased because of the declining trend in solar radiation. On average, crop water demand was decreased by 2.3 mm a −1 for wheat and 1.8 mm a −1 for maize if changes in crop variety were not considered. Simulated potential crop yields under fully irrigated condition declined about 45.3 kg ha contribute to the increase in actual crop yield for the wheat-maize double cropping system, contrasted to the decline in the potential crop yield. Further research on how the improvement in crop varieties and management practices can counteract the impact of climatic change may provide insight into the future sustainability of wheat-maize double crop rotations in the NCP.

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Section: Discussionsupporting

confidence: 83%

Section: Introductionmentioning

confidence: 99%

Quantifying the effects of climate trends in the past 43 years (1961–2003) on crop growth and water demand in the North China Plain

et al. 2009

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“…In summer, a rising trend in the numbers of cool days appears in the east Tibetan Plateau and the middle and lower reaches of the Yangtze River valley. These changes are in agreement with a cooling trend in summer minimum temperatures (Shen and Varis, 2001). In Figure 7, the adjusted data for windy days show a trend of decreasing number of windy days in recent decades, except for the Tibetan Plateau.…”

Section: Impact Of the Adjustments On Calculated Climate Trendsupporting

confidence: 88%

Quality control of daily meteorological data in China, 1951–2000: a new dataset

Feng

Qian

2004

Intl Journal of Climatology

369

233

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Long-term observational data are essential for understanding local and regional climate and climate change. These data are also important for hydrological designs and agricultural decision making. This study examined the daily meteorological data from 726 stations in China from 1951 to 2000, and developed an unprecedented climatic dataset that contains 10 daily variables: maximum and minimum surface air temperatures, mean surface air temperature, skin surface temperature, surface air relative humidity, wind speed, wind gust, sunshine duration hours, precipitation, and pan evaporation. The characteristics of the original stations' data and quality-control methods designed and used in developing this dataset are detailed. The quality-control procedures identified less than 0.05% of the data records as being erroneous because of typos and incorrect units, reading, or data coding. When the spatial and temporal consistency of the variables' time series were inspected, nearly 37.9% of the stations were found to have one or more variables with inconsistent changes. The sources causing the temporal inconsistency/discontinuity were evaluated, and a method was developed and applied to adjust those data segments containing inconsistent values. The resulting data series, as an alternative to the original quality-controlled series, showed both spatially and temporally consistent trends in the occurrence frequency of extreme climate events compared with the unadjusted data series. Finally, the quality-controlled daily data were gridded to a 1.0°×1.0°grid system covering China after the erroneous and missing data were estimated. This new dataset opens up opportunities for analysing and understanding the climate variability and climate change in China.

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“…Instrumental records show an increase in mean and extreme temperatures during the past century, especially during the 1980-2000 (Shen and Varis 2001;Wang and Gaffen 2001;Yan et al 2002;Zhai and Pan 2003;Gong et al 2004a;Qian and Lin 2004;Liu et al 2006). Changes in precipitation and extreme events show more complex patterns (increases or decreases) in time and space Wang and Gaffen 2001;Liu et al 2005a;Wang and Zhou 2005;Qian et al 2007;Qian and Qin 2008;Zhang et al 2009), but a general increase by 2% was found since 1960, with a 10% decrease in the frequency of precipitation events (Liu et al 2005a).…”

Section: Temperature Precipitation and Droughtmentioning

confidence: 99%

Impacts of climate change on Chinese ecosystems: key vulnerable regions and potential thresholds

2010

Reg Environ Change

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China is a key vulnerable region of climate change in the world. Climate warming and general increase in precipitation with strong temporal and spatial variations have happened in China during the past century. Such changes in climate associated with the human disturbances have influenced natural ecosystems of China, leading to the advanced plant phenology in spring, lengthened growing season of vegetation, modified composition and geographical pattern of vegetation, especially in ecotone and tree-lines, and the increases in vegetation cover, vegetation activity and net primary productivity. Increases in temperature, changes in precipitation regime and CO 2 concentration enrichment will happen in the future in China according to climate model simulations. The projected climate scenarios (associated with land use changes again) will significantly influence Chinese ecosystems, resulting in a northward shift of all forests, disappearance of boreal forest from northeastern China, new tropical forests and woodlands move into the tropics, an eastward shift of grasslands (expansion) and deserts (shrinkage), a reduction in alpine vegetation and an increase in net primary productivity of most vegetation types. Ecosystems in northern and western parts of China are more vulnerable to climate changes than those in eastern China, while ecosystems in the east are more vulnerable to land use changes other than climate changes. Such assessment could be helpful to address the ultimate objective of the United Nations Framework Convention on Climate Change (UNFCCC Article 2).

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Climate Change in China

Cited by 57 publications

References 3 publications

Quantifying the effects of climate trends in the past 43 years (1961–2003) on crop growth and water demand in the North China Plain

Quantifying the effects of climate trends in the past 43 years (1961–2003) on crop growth and water demand in the North China Plain

Quality control of daily meteorological data in China, 1951–2000: a new dataset

Impacts of climate change on Chinese ecosystems: key vulnerable regions and potential thresholds

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