Abstract
Short-term temperature fluctuations (STFs), including amplitude and frequency fluctuations, are one of the main features of weather and play vital roles in determining the type of ecosystem present. Although temperature fluctuations at different time scales have been extensively discussed, the research on week-scale STFs is lacking. In this study, we developed a method, that can quantify the amplitude and frequency of STFs by the thresholds from all years. We used this method to quantify the amplitude and frequency of the 7-d STFs from 1951 to 2019 across China. Our results indicate that the amplitude of the STF was much higher in the eastern part of China than in the western part, while the frequency of the STF was higher in the middle part than in the southern and northern parts; furthermore, the STF was highly dependent on internal factors such as topography. The long-term STF mainly showed a decreasing trend before 1990, which implies that temperature became increasingly stable from the 1950s to the 1990s. The main influencing factors were related to topography since the trends were relatively consistent in space. A case study in Taihu Lake showed that an unstable STF in winter and summer resulted in a smaller bloom area in the following spring and autumn. Our method could eliminate seasonal effects and is capable of analyzing STFs at scales ranging from days to years. Quantifications of the amplitude and frequency also make the STF indicators more comprehensive. Furthermore, the STF increased significantly across most of China after 1990, which implies that temperature is becoming increasingly unstable. The drivers of these STFs are related to human impacts since the trends are different in space.
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References
Bivand R S, Pebesma E J, Gómez-Rubio V, 2008. Applied Spatial Data Analysis with R. New York: Springer.
Braganza K, Karoly D J, Arblaster J M, 2004. Diurnal temperature range as an index of global climate change during the twentieth century. Geophysical Research Letters, 31(13): L13217. doi: https://doi.org/10.1029/2004gl019998
Cao J, Hou Z Y, Li Z K et al., 2018. Succession of phytoplankton functional groups and their driving factors in a subtropical plateau lake. Science of the Total Environment, 631–632: 1127–1137. doi: https://doi.org/10.1016/j.scitotenv.2018.03.026
Chan W P, Chen I C, Colwell R K et al., 2016. Seasonal and daily climate variation have opposite effects on species elevational range size. Science, 351(6280): 1437–1439. doi: https://doi.org/10.1126/science.aab4119
Chen Chao, Pang Yanmei, Zhang Yufang, 2010. On the characteristics of climate change in Sichuan Basin in the recent 50 years. Journal of Southwest University (Natural Science Edition), 32(9): 115–120. (in Chinese)
Chen J, Dai A G, Zhang Y C, 2019. Projected changes in daily variability and seasonal cycle of near-surface air temperature over the globe during the twenty-first century. Journal of Climate, 32(24): 8537–8561. doi: https://doi.org/10.1175/JCLI-D-19-0438.1
Chen Longxun, Zhu Wenqin, Zhou Xiuji et al., 2003. Characteristics of the heat island effect in Shanghai and its possible mechanism. Advances in Atmospheric Sciences, 20(6): 991–1001. doi: https://doi.org/10.1007/BF02915522
Deng J M, Zhang W, Qin B Q et al., 2020. Winter climate shapes spring phytoplankton development in non-ice-covered lakes: subtropical Lake Taihu as an example. Water Resources Research, 56(9): e2019WR026680. doi: https://doi.org/10.1029/2019WR026680
Dong D H, Huang G, Qu X et al., 2015. Temperature trend-altitude relationship in China during 1963–2012. Theoretical & Applied Climatology, 122(1): 285–294. doi: https://doi.org/10.1007/s00704-014-1286-9
Eichner J F, Koscielny-Bunde E, Bunde A et al., 2003. Power-law persistence and trends in the atmosphere: a detailed study of long temperature records. Physical Review E, 68(4): 046133. doi: https://doi.org/10.1103/PhysRevE.68.046133
Elliott J A, Jones I D, Thackeray S J, 2006. Testing the sensitivity of phytoplankton communities to changes in water temperature and nutrient load, in a temperate lake. Hydrobiologia, 559(1): 401–411. doi: https://doi.org/10.1007/s10750-005-1233-y
Fu Congbin, Wang Qiang, 1992. The definition and detection of the abrupt climatic change. Scientia Atmopherica Sinica, 16(4): 482–493. (in Chinese)
Gu C L, Wu L Y, Cook I, 2012. Progress in research on Chinese urbanization. Frontiers of Architectural Research, 1(2): 101–149. doi: https://doi.org/10.1016/j.foar.2012.02.013
IPCC, 2021. Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press.
Jang Y S, Shen S F, Juang J Y et al., 2022. Discontinuity of diurnal temperature range along elevated regions. Geophysical Research Letters, 49(6): e2021GL097551. doi: https://doi.org/10.1299/2021g1097551
Karl T R, Knight R W, Plummer N, 1995. Trends in high-frequency climate variability in the twentieth century. Nature, 377(6546): 217–220. doi: https://doi.org/10.1038/377217a0
Kilham S S, 1987. Phytoplankton ecology: structure, function and fluctuation. Trends in Ecology & Evolution, 2(12): 380. doi: https://doi.org/10.1016/0169-5347(87)90143-1
Lambrechts L, Paaijmans K P, Fansiri T et al., 2011. Impact of daily temperature fluctuations on dengue virus transmission by Aedes aegypti. Proceedings of the National Academy of Sciences of the United States of America, 108(18): 7460–7465. doi: https://doi.org/10.1073/pnas.1101377108
Laugaste R, Haberman J, Blank K, 2010. Cool winters versus mild winters: effects on spring plankton in Lake Peipsi. Estonian Journal of Ecology, 59(3): 163–183. doi: https://doi.org/10.3176/eco.2010.3.01
Liu Jiyuan, Zhang Zengxiang, Xu Xinliang et al., 2010. Spatial patterns and driving forces of land use change in China during the early 21st century. Journal of Geographical Sciences, 20(4): 483–494. doi: https://doi.org/10.1007/s11442-010-0483-4
Liu L M, Yang J, Lv H et al., 2015. Phytoplankton communities exhibit a stronger response to environmental changes than bacterioplankton in three subtropical reservoirs. Environmental Science & Technology, 49(18): 10850–10858. doi: https://doi.org/10.1021/acs.est.5b02637
Liu Q, Tan Z M, Sun J et al., 2020. Changing rapid weather variability increases influenza epidemic risk in a warming climate. Environmental Research Letters, 15(4): 044004. doi: https://doi.org/10.1088/1748-9326/ab70bc
Lunagaria M M, Patel H R, Shah A V et al., 2011. Validation of PRECIS baseline (1961–1990) simulation for middle Gujarat agroclimatic zone. Journal of Agrometeorology, 13(2): 92–96.
Meis S, Thackeray S J, Jones I D, 2009. Effects of recent climate change on phytoplankton phenology in a temperate lake. Freshwater Biology, 54(9): 1888–1898. doi: https://doi.org/10.1111/j.1365-2427.2009.02240.x
Ogwang B A, Chen H S, Li X et al., 2014. The influence of topography on East African October to December climate: sensitivity experiments with RegCM4. Advances in Meteorology, 2014: 143917. doi: https://doi.org/10.1155/2014/143917
O’Neil J M, Davis T W, Burford M A et al., 2012. The rise of harmful cyanobacteria blooms: the potential roles of eutrophication and climate change. Harmful Algae, 14: 313–334. doi: https://doi.org/10.1016/j.hal.2011.10.027
Peces M, Astals S, Mata-Alvarez J, 2013. Response of a sewage sludge mesophilic anaerobic digester to short and long-term thermophilic temperature fluctuations. Chemical Engineering Journal, 233: 109–116. doi: https://doi.org/10.1016/j.cej.2013.07.088
Peng Kai, Deng Jianming, Zhang Yunlin et al., 2019. Short-term temperature fluctuation in the spring in China during 1957–2015. Climatic and Environmental Research, 24(1): 125–134. (in Chinese)
Qian Cheng, Yan Zhongwei, Wu Zhaohua et al., 2011. Trends in temperature extremes in association with weather-intraseasonal fluctuations in eastern China. Advances in Atmospheric Sciences, 28(2): 297–309. doi: https://doi.org/10.1007/s00376-010-9242-9
Qin M S, Zhang Y, Wan S Q et al., 2021. Impact of climate change on “evaporation paradox” in province of Jiangsu in southeastern China. PLoS One, 16(2): e0247278. doi: https://doi.org/10.1371/journal.pone.0247278
R Core Team, 2020. R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/
Reynolds C S, Padisák J, Sommer U, 1993. Intermediate disturbance in the ecology of phytoplankton and the maintenance of species diversity: a synthesis. Hydrobiologia, 249(1): 183–188. doi: https://doi.org/10.1007/BF00008853
Salmaso N, Naselli-Flores L, Padisák J, 2015. Functional classifications and their application in phytoplankton ecology. Freshwater Biology, 60(4): 603–619. doi: https://doi.org/10.1111/fwb.12520
Schwingshackl C, Hirschi M, Seneviratne S I, 2018. Global contributions of incoming radiation and land surface conditions to maximum near-surface air temperature variability and trend. Geophysical Research Letters, 45(10): 5034–5044. doi: https://doi.org/10.1029/2018GL077794
Screen J A, 2014. Arctic amplification decreases temperature variance in northern mid- to high-latitudes. Nature Climate Change, 4: 577–582. doi: https://doi.org/10.1038/NCLIMATE2268
Shi K, Zhang Y L, Zhu G W et al., 2015. Long-term remote monitoring of total suspended matter concentration in Lake Taihu using 250 m MODIS-Aqua data. Remote Sensing of Environment, 164: 43–56. doi: https://doi.org/10.1016/j.rse.2015.02.029
Shine R, Elphick M J, 2001. The effect of short-term weather fluctuations on temperatures inside lizard nests, and on the phenotypic traits of hatchling lizard. Biological Journal of the Linnean Society, 72(4): 555–565. doi: https://doi.org/10.1006/bijl.2000.0516
Singsaas E L, Sharkey T D, 1998. The regulation of isoprene emission responses to rapid leaf temperature fluctuations. Plant, Cell & Environment, 21(11): 1181–1188. doi: https://doi.org/10.1046/j.1365-3040.1998.00380.x
Sulastri, Henny C, Santoso A B, 2019. Phytoplankton composition and the occurrence of cyanobacterial bloom in Lake Maninjau, Indonesia. IOP Conference Series Earth and Environmental Science, 380: 012020. doi: https://doi.org/10.1088/1755-1315/380/1/012020
Sun Y, Zhang X B, Zwiers F W et al., 2014. Rapid increase in the risk of extreme summer heat in Eastern China. Nature Climate Change, 4(12): 1082–1085. doi: https://doi.org/10.1038/nclimate2410
Wu Shaohong, Zheng Du, 2000. New recognition on boundary between tropical and subtropical zone in the middle section of eco-geographic system. Acta Geographica Sinica, 55(6): 689–697. (in Chinese)
Yadav J S, Tiwari S K, Misra A et al., 2021. High-altitude meteorology of Indian Himalayan Region: complexities, effects, and resolutions. Environmental Monitoring and Assessment, 193(10): 654. doi: https://doi.org/10.1007/s10661-021-09418-y
Yeh S W, Wang X, Wang C Z et al., 2015. On the relationship between the North Pacific climate variability and the Central Pacific El Niño. Journal of Climate, 28(2): 663–677. doi: https://doi.org/10.1175/jcli-d-14-00137.1
Yin Y H, Ma D Y, Wu S H et al., 2017. Nonlinear variations of forest leaf area index over China during 1982–2010 based on EEMD method. International Journal of Biometeorology, 61(6): 977–988. doi: https://doi.org/10.1007/s00484-016-1277-x
Zhan H Y, Chen R D, Lan M, 2022. Interdecadal change in the interannual variation of the western edge of the Western North Pacific subtropical high during early summer and the influence of tropical sea surface temperature. Journal of Tropical Meteorology, 28(1): 57–70. doi: https://doi.org/10.46267/j.1006-8775.2022.005
Zhan Z Y, Zhao Y, Pang S J et al., 2017. Temperature change between neighboring days and mortality in United States: a nationwide study. Science of the Total Environment, 584–585: 1152–1161. doi: https://doi.org/10.1016/j.scitotenv.2017.01.177
Zhao C L, Chen J G, Du P et al., 2018. Characteristics of climate change and extreme weather from 1951 to 2011 in China. International Journal of Environmental Research & Public Health, 15(11): 2540. doi: https://doi.org/10.3390/ijerph15112540
Zheng Du, 1996. The system of physico-geographical regions of the Qinghai-Xizang (Tibet) Plateau. Science in China Series D: Earth Science), 39(4): 410–417. (in Chinese)
Zhu Wei, Chen Huaimin, Wang Ruochen et al., 2019. Analysis on the reasons for the large bloom area of Lake Taihu in 2017. Journal of Lake Sciences, 31(3): 621–632. (in Chinese). doi: https://doi.org/10.18307/2019.0302
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Under the auspices of the National Natural Science Foundation of China (No. 41971146, 41621002), the Fundamental Research Funds for the Central Universities (No. 2014QNA86), the National Key Research and Development Program of China (No. 2019YFC1805400)
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He, Y., Deng, J., Zhang, Y. et al. Variation in Short-term Temperature Fluctuations Across China During the Past 60 Years. Chin. Geogr. Sci. 32, 563–579 (2022). https://doi.org/10.1007/s11769-022-1286-0
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DOI: https://doi.org/10.1007/s11769-022-1286-0