Stable oxygen and hydrogen isotopic compositions (δ18O and δD) of soil water and shallow groundwater of a riparian forest, an artificial shrub forest, and Gobi of the lower reaches of the Heihe River Basin are use...Stable oxygen and hydrogen isotopic compositions (δ18O and δD) of soil water and shallow groundwater of a riparian forest, an artificial shrub forest, and Gobi of the lower reaches of the Heihe River Basin are used to study the recharge water sources of those ecosystems. IsoSource software is used to determine the δ180 values for root water of Populous euphratica and Tamarix ramosissima in the riparian forest ecosystem, Haloxylon ammodendron in the artificial shrub forest, and Reaumuria soongorica in the Gobi, as well as for local soil water and groundwater, and precipitation in the upper reaches of the Heihe River Basin. Our results showed that soil water and shallow groundwater of the riparian forest and the artificial shrub forest were recharged by river water which originated from precipitation in the upper reaches, and strong evaporation occurred in the artificial shrub forest. Soil water of the Gobi was not affected by Heihe River water due to this area being far away from the river channel. The main water sources of Populous euphratica were from 40-60-cm soil water and groundwater, and of Tamarix ramosissima were from 40-80-cm soil water in the riparian forest ecosystem. In the artificial forest, Haloxylon ammodendron used 200-cm saturated-layer soil water and shallow groundwater. The Reaumuria soongorica mainly used soil water from the 175-200-cm depth in the Gobi. Therefore, soil water and groundwater are the main water sources which maintain survival and growth of the plants in the extremely arid regions of the lower reaches of the Heihe River Basin.展开更多
The GM(1,1)grey model was used to simulate and divide the harvest years of black-skinned sugarcane yield in Wengyuan County during 2006-2021.Based on the meteorological observation data of Wengyuan County during the s...The GM(1,1)grey model was used to simulate and divide the harvest years of black-skinned sugarcane yield in Wengyuan County during 2006-2021.Based on the meteorological observation data of Wengyuan County during the same period,the impact of major meteorological disasters such as drought,flood and frost in the growth period of black-skinned sugarcane was analyzed.It is believed that the instability of black-skinned sugarcane yield was affected by comprehensive meteorological factors.It is necessary to master the characteristics of local meteorological disasters,conduct scientific cultivation according to local conditions,and continuously improve the meteorological service level of black-skinned sugarcane cultivation.展开更多
Based on the monthly average temperature data from Wengyuan national meteorological observation station in Guangdong Province from 1961 to 2018, statistical methods were used for the trend analysis, mutation detection...Based on the monthly average temperature data from Wengyuan national meteorological observation station in Guangdong Province from 1961 to 2018, statistical methods were used for the trend analysis, mutation detection and wavelet analysis of annual average temperature and seasonal average temperature from 1961 to 2018. The results show that the annual, summer, autumn and winter average temperature in Wengyuan all showed a warming trend from 1961 to 2018, among which winter average temperature contributed the most to the increase of annual average temperature, and the increasing trend of average temperature in spring did not pass the significance test. The annual, summer, autumn and winter average temperature in Wengyuan changed significantly in 1994, 1981, 1996 and 1990, respectively. Wavelet analysis shows that the annual average temperature in Wengyuan had periodic oscillations on the time scales of 12-13, 24-25 and 6 years.展开更多
基金supported by the West Action Program of the Chinese Academy of Sciences (KZCX2-XB2-04-03)the West Light Foundation of West Doctor of the Chinese Academy of Sciences+1 种基金the China Postdoctoral Science Foundation (Grant No. 200801244 and 20070420135)the Talented Foundation for Young Scientists of Cold and Arid Regions Environmental and Engineering Research Institute (No. 510984911)
基金supported by the National Natural Science Foundation of China (Grant Nos. 91325102, 91025016 and 91125025)the National Science & Technology Support Project (No. 2011BAC07B05)
文摘Stable oxygen and hydrogen isotopic compositions (δ18O and δD) of soil water and shallow groundwater of a riparian forest, an artificial shrub forest, and Gobi of the lower reaches of the Heihe River Basin are used to study the recharge water sources of those ecosystems. IsoSource software is used to determine the δ180 values for root water of Populous euphratica and Tamarix ramosissima in the riparian forest ecosystem, Haloxylon ammodendron in the artificial shrub forest, and Reaumuria soongorica in the Gobi, as well as for local soil water and groundwater, and precipitation in the upper reaches of the Heihe River Basin. Our results showed that soil water and shallow groundwater of the riparian forest and the artificial shrub forest were recharged by river water which originated from precipitation in the upper reaches, and strong evaporation occurred in the artificial shrub forest. Soil water of the Gobi was not affected by Heihe River water due to this area being far away from the river channel. The main water sources of Populous euphratica were from 40-60-cm soil water and groundwater, and of Tamarix ramosissima were from 40-80-cm soil water in the riparian forest ecosystem. In the artificial forest, Haloxylon ammodendron used 200-cm saturated-layer soil water and shallow groundwater. The Reaumuria soongorica mainly used soil water from the 175-200-cm depth in the Gobi. Therefore, soil water and groundwater are the main water sources which maintain survival and growth of the plants in the extremely arid regions of the lower reaches of the Heihe River Basin.
基金supported by the West Action Program of Chinese Academy of Sciences (KZCX2-XB2-04-03)the Chinese National Natural Science Fund (40801021)+1 种基金the West Light Foundation of West Doctor of CASthe China Postdoctoral Science Foundation (200801244, 20070420135)
文摘The GM(1,1)grey model was used to simulate and divide the harvest years of black-skinned sugarcane yield in Wengyuan County during 2006-2021.Based on the meteorological observation data of Wengyuan County during the same period,the impact of major meteorological disasters such as drought,flood and frost in the growth period of black-skinned sugarcane was analyzed.It is believed that the instability of black-skinned sugarcane yield was affected by comprehensive meteorological factors.It is necessary to master the characteristics of local meteorological disasters,conduct scientific cultivation according to local conditions,and continuously improve the meteorological service level of black-skinned sugarcane cultivation.
文摘Based on the monthly average temperature data from Wengyuan national meteorological observation station in Guangdong Province from 1961 to 2018, statistical methods were used for the trend analysis, mutation detection and wavelet analysis of annual average temperature and seasonal average temperature from 1961 to 2018. The results show that the annual, summer, autumn and winter average temperature in Wengyuan all showed a warming trend from 1961 to 2018, among which winter average temperature contributed the most to the increase of annual average temperature, and the increasing trend of average temperature in spring did not pass the significance test. The annual, summer, autumn and winter average temperature in Wengyuan changed significantly in 1994, 1981, 1996 and 1990, respectively. Wavelet analysis shows that the annual average temperature in Wengyuan had periodic oscillations on the time scales of 12-13, 24-25 and 6 years.
基金This work was supported by the National Natural Science Foundation of China(42330501,42277448,42271022,and 42301053)the Fundamental Research Fundsfor theCentral Universities(GK202309010and GK202206032).