Our understanding of the long-term hydroclimate variations in South China is prohibited by the shortness of me- teorological records. Paleoclimatic proxies, such as tree-rings, can be pursued to extend the meteorologi...Our understanding of the long-term hydroclimate variations in South China is prohibited by the shortness of me- teorological records. Paleoclimatic proxies, such as tree-rings, can be pursued to extend the meteorological records back for centuries to help us better understand hydroclimatic conditions. In this study, we reconstructed the July--Au- gust standardized precipitafio^evapotranspiration index (SPEIjut Aug) based on a newly developed 127-yr adjusted latewood width chronology from Tsuga longibracteata, South China. The chronology explained 40% of the actual SPEIjul Aug variance in the period 1953-2014. The reconstructed SPEIjuI Aug can represent large-scale July-August SPEI variations over South China, including northern Guangxi, Hunan, and Guizhou provinces. From the perspec- tive of the past 127 years, the extreme summer drought in 2013 was not unusual because more extreme drought events occurred in the first half of the 20th century. A significant 2.0-3.6-yr hydroclimatic cycle existed in the recon- struction, which indicated that the SPEIjulug might be driven by El Nifio-Southern Oscillation (ENSO). We further checked the time-dependency of the relationship between SPEIJuI_Aug and ENSO and found that it was unstable. Their relationship was weak before the 1950s, became significant from the 1950s to early 1990s, and then dropped to be weak again and even out of phase since the early 1990s, which may be attributable to the significant westward exten- sion of the western Pacific subtropical high.展开更多
China is a traditional agriculture based country and one main region for crop production is southeastern China where temperature is a dominant climate variable affecting agriculture. Temperature and social disturbance...China is a traditional agriculture based country and one main region for crop production is southeastern China where temperature is a dominant climate variable affecting agriculture. Temperature and social disturbances both influence crop production, yet distinguishing their relative impacts is difficult due to a lack of reliable, high-resolution historical climatic records before the very recent period. Here we present the first tree-ring based warm-season temperature reconstruction for southeastern China, a core region of the East Asian monsoon, for the past 227 years. The reconstruction target was April-July mean temperature, and our model explained 60.6% of the observed temperature variance during 1953–2012.Spatial correlation analysis showed that the reconstruction is representative of April-July temperature change over most of eastern China. The reconstructed temperature series agrees well with China-scale(heavily weighted in eastern China) agricultural production index values quite well at decadal timescales.The impacts of social upheavals on food production, such as those in the period 1920–1949, were confirmed after climatic influences were excluded. Our study should help distinguish the influence of social disturbance and warm-season temperature on grain productivity in the core agricultural region of China during the past two centuries.展开更多
基金Supported by the National Natural Science Foundation of China(41271210)Global Change Program(2016YFA0600503)+1 种基金Priority Academic Program Development of Jiangsu Higher Education InstitutionsJiangsu Collaborative Innovation Center for Climate Change
文摘Our understanding of the long-term hydroclimate variations in South China is prohibited by the shortness of me- teorological records. Paleoclimatic proxies, such as tree-rings, can be pursued to extend the meteorological records back for centuries to help us better understand hydroclimatic conditions. In this study, we reconstructed the July--Au- gust standardized precipitafio^evapotranspiration index (SPEIjut Aug) based on a newly developed 127-yr adjusted latewood width chronology from Tsuga longibracteata, South China. The chronology explained 40% of the actual SPEIjul Aug variance in the period 1953-2014. The reconstructed SPEIjuI Aug can represent large-scale July-August SPEI variations over South China, including northern Guangxi, Hunan, and Guizhou provinces. From the perspec- tive of the past 127 years, the extreme summer drought in 2013 was not unusual because more extreme drought events occurred in the first half of the 20th century. A significant 2.0-3.6-yr hydroclimatic cycle existed in the recon- struction, which indicated that the SPEIjulug might be driven by El Nifio-Southern Oscillation (ENSO). We further checked the time-dependency of the relationship between SPEIJuI_Aug and ENSO and found that it was unstable. Their relationship was weak before the 1950s, became significant from the 1950s to early 1990s, and then dropped to be weak again and even out of phase since the early 1990s, which may be attributable to the significant westward exten- sion of the western Pacific subtropical high.
基金supported by National Natural Science Foundation of China Project (41271210)the National Key R&D Program of China (2016YFA0600503)+3 种基金the Fundamental Research Funds for the Central Universities (20620140083)the Priority Academic Program Development of Jiangsu Higher Education Institutionsthe Jiangsu Collaborative Innovation Center for Climate ChangeUNESCO CHINA-4500193250
文摘China is a traditional agriculture based country and one main region for crop production is southeastern China where temperature is a dominant climate variable affecting agriculture. Temperature and social disturbances both influence crop production, yet distinguishing their relative impacts is difficult due to a lack of reliable, high-resolution historical climatic records before the very recent period. Here we present the first tree-ring based warm-season temperature reconstruction for southeastern China, a core region of the East Asian monsoon, for the past 227 years. The reconstruction target was April-July mean temperature, and our model explained 60.6% of the observed temperature variance during 1953–2012.Spatial correlation analysis showed that the reconstruction is representative of April-July temperature change over most of eastern China. The reconstructed temperature series agrees well with China-scale(heavily weighted in eastern China) agricultural production index values quite well at decadal timescales.The impacts of social upheavals on food production, such as those in the period 1920–1949, were confirmed after climatic influences were excluded. Our study should help distinguish the influence of social disturbance and warm-season temperature on grain productivity in the core agricultural region of China during the past two centuries.