Spatial and temporal temperature trends on the Yunnan Plateau (Southwest China) during 1961–2004

Zhai, Fan; Bräuning, Achim; Thomas, Axel; Li, Jinbao; Cao, Kun‐Fang

doi:10.1002/joc.2214

Cited by 123 publications

(83 citation statements)

References 59 publications

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“…The annual temperature also reports an increasing tendency; however, there are distinct differences in the trend for minimum temperature and maximum temperature (minimum temperature increased more rapidly). Our result is in good agreement with Fan et al [15], who reported a higher increase in minimum temperature than maximum temperature in southwest China. The overall warming rate in the dry and terrace regions exceeds the global mean of 0.14 °C per decade (0.31 and 0.25 °C, respectively) [5].…”

Section: Discussionsupporting

confidence: 94%

“…Often only densely homogeneous historical-or global-scale datasets are available [20], while few assessments exist at a national level [4,16]. It is important to conduct studies at a smaller scale due to the large regional differences in surface temperature [15,20] and rainfall [37]. The IPCC [21] report highlights the need for more detailed information about climate change at regional and local scales.…”

Section: Open Accessmentioning

confidence: 99%

“…Both historical observations [12,40] and climate models [37] project significant changes in DTR. DTR and SPI are important indicators in determining the impact of climate variability on crop yield [15]; hence, they were utilized in this study.…”

Section: Standardized Precipitation Index (Spi) and Diurnal Temperatumentioning

confidence: 99%

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Impacts of temperature and rainfall variation on rice productivity in major ecosystems of Bangladesh

et al. 2017

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Background: Inconsistency in climate regimes of rainfall and temperature is a source of biotic and abiotic stresses in agricultural systems worldwide. Several studies from Bangladesh report that this variability is a cause of poor yield potential and crop failure. This study investigates the impact of temperature and rainfall variation on rice productivity for different ecosystems in Bangladesh. Three ecosystems under investigation include: dry (Rajshahi), terrace (Mymensingh) and coastal (Barisal). Results:The terrace ecosystem recorded the highest rainfall, followed by coastal and dry ecosystems. The temperature variation, both maximum and minimum, showed an increasing trend; however, the incremental rate was higher in case of minimum temperature. Monsoon rainfall showed an increasing trend, while dry season (November to March) decreased slightly. The climatic variations and impacts were captured using a standardized precipitation index (SPI), diurnal temperature range (DTR) and rice productivity index (RPI). The rainfed rice crop (aman) observed a significant trend between RPI and seasonal SPI, and between RPI and seasonal DTR. Overall, the SPI indicated the prevalence of frequent dry and wet periods and DTR recorded a decreasing trend. The multiple regression analysis identified a significant correlation between RPI, SPI and DTR accounting for 41, 45 and 49% of yield variability in dry, terrace and coastal ecosystems, respectively. Conclusion:Rainfall has shifted with an increasing trend during monsoon and almost static during other seasons. Rice production, especially rainfed rice, is at risk due to frequent drought and decreasing DTR. Stress-tolerant rice varieties requiring less irrigation water and survive at high temperature should be introduced. Research on rescheduling crop calendar and cropping pattern is necessary to mitigate the adverse climatic conditions.

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Section: Discussionsupporting

confidence: 94%

Section: Open Accessmentioning

confidence: 99%

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Impacts of temperature and rainfall variation on rice productivity in major ecosystems of Bangladesh

et al. 2017

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“…Some prior studies using observational data have shown positive correlations of the elevation with the warming rate in the European Alps (Beniston and Rebetez 1996), Nepal Himalayas (Shrestha et al 1999), Yunnan Plateau in China (Fan et al 2011), and the Tibet Plateau (Liu and Chen 2000). The warming is more pronounced at higher elevations in those areas.…”

Section: Elevation Dependence Of the Near-surface Air Temperature mentioning

confidence: 89%

Temperature Changes in Central Asia from 1979 to 2011 Based on Multiple Datasets*

et al. 2014

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The arid and semiarid region in central Asia is sensitive and vulnerable to climate variations. However, the sparse and highly unevenly distributed meteorological stations in the region provide limited data for understanding of the region's climate variations. In this study, the near-surface air temperature change in central Asia from 1979 to 2011 was examined using observations from 81 meteorological stations, three local observation validated reanalysis datasets of relatively high spatial resolutions, and the Climate Research Unit (CRU) dataset. Major results suggested that the three reanalysis datasets match well with most of the local climate records, especially in the low-lying plain areas. The consensus of the multiple datasets showed significant regional surface air temperature increases of 0.368-0.428C decade 21 in the past 33 years. No significant contributions from declining irrigation and urbanization to temperature change were found. The rate is larger in recent years than in the early years in the study period. Additionally, unlike in many regions in the world, the temperature in winter showed no increase in central Asia in the last three decades, a noticeable departure from the global trend in the twentieth century. The largest increase in surface temperature was occurring in the spring season. Analyses further showed a warming center in the middle of the central Asian states and weakened temperature variability along the northwest-southeast temperature gradient from the northern Kazakhstan to southern Xinjiang. The reanalysis datasets also showed significant negative correlations between temperature increase rate and elevation in this complex terrain region.

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“…The warming trend in high-altitude areas, such as the Tibetan Plateau and its south-east margin, has been observed to be more pronounced (Fan et al, 2011;Liu and Chen, 2000). Several studies of CO 2 exchange have been carried out on the Qinghai-Tibetan plateau, where the mean annual air temperature (T a ) is approximately 0 • C (Gu et al, 2003;Kato et al, 2006;Shi et al, 2006;Zhao et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

Biophysical effects on the interannual variation in carbon dioxide exchange of an alpine meadow on the Tibetan Plateau

et al. 2017

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Abstract. Eddy covariance measurements from 2012 to 2015 were used to investigate the interannual variation in carbon dioxide exchange and its control over an alpine meadow on the south-east margin of the Tibetan Plateau. The annual net ecosystem exchange (NEE) in the 4 years from 2012 to 2015 was −114.2, −158.5, −159.9 and −212.6 g C m −2 yr −1 , and generally decreased with the mean annual air temperature (MAT). An exception occurred in 2014, which had the highest MAT. This was attributed to higher ecosystem respiration (RE) and similar gross primary production (GPP) in 2014 because the GPP increased with the MAT, but became saturated due to the limit in photosynthetic capacity. In the spring (March to May) of 2012, low air temperature (T a ) and drought events delayed grass germination and reduced GPP. In the late wet season (September to October) of 2012 and 2013, the low T a in September and its negative effects on vegetation growth caused earlier grass senescence and significantly lower GPP. This indicates that the seasonal pattern of T a has a substantial effect on the annual total GPP, which is consistent with results obtained using the homogeneityof-slopes (HOS) model. The model results showed that the climatic seasonal variation explained 48.6 % of the GPP variability, while the percentages explained by climatic interannual variation and the ecosystem functional change were 9.7 and 10.6 %, respectively.

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Spatial and temporal temperature trends on the Yunnan Plateau (Southwest China) during 1961–2004

Cited by 123 publications

References 59 publications

Impacts of temperature and rainfall variation on rice productivity in major ecosystems of Bangladesh

Impacts of temperature and rainfall variation on rice productivity in major ecosystems of Bangladesh

Temperature Changes in Central Asia from 1979 to 2011 Based on Multiple Datasets*

Biophysical effects on the interannual variation in carbon dioxide exchange of an alpine meadow on the Tibetan Plateau

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