Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Qinghui Xing is active.

Publication


Featured researches published by Qinghui Xing.


Journal of Geophysical Research | 2015

Effects of episodic flooding on the net ecosystem CO2 exchange of a supratidal wetland in the Yellow River Delta

Guangxuan Han; Xiaojing Chu; Qinghui Xing; Dejun Li; Junbao Yu; Yiqi Luo; Guangmei Wang; Peili Mao; Rashad Rafique

Episodic flooding due to intense rainfall events is characteristic in many wetlands, which may modify wetland-atmosphere exchange of CO2. However, the degree to which episodic flooding affects net ecosystem CO2 exchange (NEE) is poorly documented in supratidal wetlands of coastal zone, where rainfall-driven episodic flooding often occurs. To address this issue, the ecosystem CO2 fluxes were continuously measured using the eddy covariance technique for 4 years (2010-2013) in a supratidal wetland in the Yellow River Delta. Our results showed that over the growing season, the daily average uptake in the supratidal wetland was -1.4, -1.3, -1.0, and -1.3 g Cm-2 d(-1) for 2010, 2011, 2012, and 2013, respectively. On the annual scale, the supratidal wetland functioned as a strong sink for atmospheric CO2, with the annual NEE of -223, -164, and -247 g Cm-2 yr(-1) for 2011, 2012, and 2013, respectively. The mean diurnal pattern of NEE exhibited a smaller range of variation before episodic flooding than after it. Episodic flooding reduced the average daytime net CO2 uptake and the maximum rates of photosynthesis. In addition, flooding clearly suppressed the nighttime CO2 release from the wetland but increased its temperature sensitivity. Therefore, effects of episodic flooding on the direction and magnitude of NEE should be considered when predicting the ecosystem responses to future climate change in supratidal wetlands.


PLOS ONE | 2014

Vegetation Types Alter Soil Respiration and Its Temperature Sensitivity at the Field Scale in an Estuary Wetland

Guangxuan Han; Qinghui Xing; Yiqi Luo; Rashad Rafique; Junbao Yu; Nate Mikle

Vegetation type plays an important role in regulating the temporal and spatial variation of soil respiration. Therefore, vegetation patchiness may cause high uncertainties in the estimates of soil respiration for scaling field measurements to ecosystem level. Few studies provide insights regarding the influence of vegetation types on soil respiration and its temperature sensitivity in an estuary wetland. In order to enhance the understanding of this issue, we focused on the growing season and investigated how the soil respiration and its temperature sensitivity are affected by the different vegetation (Phragmites australis, Suaeda salsa and bare soil) in the Yellow River Estuary. During the growing season, there were significant linear relationships between soil respiration rates and shoot and root biomass, respectively. On the diurnal timescale, daytime soil respiration was more dependent on net photosynthesis. A positive correlation between soil respiration and net photosynthesis at the Phragmites australis site was found. There were exponential correlations between soil respiration and soil temperature, and the fitted Q 10 values varied among different vegetation types (1.81, 2.15 and 3.43 for Phragmites australis, Suaeda salsa and bare soil sites, respectively). During the growing season, the mean soil respiration was consistently higher at the Phragmites australis site (1.11 µmol CO2 m−2 s−1), followed by the Suaeda salsa site (0.77 µmol CO2 m−2 s−1) and the bare soil site (0.41 µmol CO2 m−2 s−1). The mean monthly soil respiration was positively correlated with shoot and root biomass, total C, and total N among the three vegetation patches. Our results suggest that vegetation patchiness at a field scale might have a large impact on ecosystem-scale soil respiration. Therefore, it is necessary to consider the differences in vegetation types when using models to evaluate soil respiration in an estuary wetland.


The Scientific World Journal | 2014

Wet and dry atmospheric depositions of inorganic nitrogen during plant growing season in the coastal zone of Yellow River Delta.

Junbao Yu; Kai Ning; Yunzhao Li; Siyao Du; Guangxuan Han; Qinghui Xing; Huifeng Wu; Guangmei Wang; Yongjun Gao

The ecological problems caused by dry and wet deposition of atmospheric nitrogen have been widespread concern in the world. In this study, wet and dry atmospheric depositions were monitored in plant growing season in the coastal zone of the Yellow River Delta (YRD) using automatic sampling equipment. The results showed that SO4 2− and Na+ were the predominant anion and cation, respectively, in both wet and dry atmospheric depositions. The total atmospheric nitrogen deposition was ~2264.24 mg m−2, in which dry atmospheric nitrogen deposition was about 32.02%. The highest values of dry and wet atmospheric nitrogen deposition appeared in May and August, respectively. In the studied area, NO3 −–N was the main nitrogen form in dry deposition, while the predominant nitrogen in wet atmospheric deposition was NH4 +–N with ~56.51% of total wet atmospheric nitrogen deposition. The average monthly attribution rate of atmospheric deposition of NO3 −–N and NH4 +–N was ~31.38% and ~20.50% for the contents of NO3 −–N and NH4 +–N in 0–10 cm soil layer, respectively, suggested that the atmospheric nitrogen was one of main sources for soil nitrogen in coastal zone of the YRD.


Scientific Reports | 2016

Distribution of carbon, nitrogen and phosphorus in coastal wetland soil related land use in the Modern Yellow River Delta

Junbao Yu; Chao Zhan; Yunzhao Li; Di Zhou; Yuqin Fu; Xiaojing Chu; Qinghui Xing; Guangxuan Han; Guangmei Wang; Bo Guan; Qing Wang

The delivery and distribution of nutrients in coastal wetland ecosystems is much related to the land use. The spatial variations of TOC, TN, NH4+-N, NO3−-N and TP and associated soil salinity with depth in 9 kinds land uses in coastal zone of the modern Yellow River Delta (YRD) was evaluated based on monitoring data in field from 2009 to 2015. The results showed that the average contents of soil TOC, TN, NO3−-N, NH4+-N and TP were 4.21 ± 2.40 g kg−1, 375.91 ± 213.44, 5.36 ± 9.59 and 7.20 ± 5.58 and 591.27 ± 91.16 mg kg−1, respectively. The high N and C contents were found in cropland in southern part and low values in natural wetland, while TP was relatively stable both in profiles and in different land uses. The land use, land formation age and salinity were important factors influencing distributions of TOC and N. Higher contents of TOC and N were observed in older formation age lands in whole study region, while the opposite regulation were found in new-born natural wetland, indicating that the anthropogenic activities could greatly alter the original distribution regulations of nutrients in coastal natural wetlands by changing the regional land use.


Chinese Geographical Science | 2017

Remote sensing retrieval of surface suspended sediment concentration in the Yellow River Estuary

Chao Zhan; Junbao Yu; Qing Wang; Yunzhao Li; Di Zhou; Qinghui Xing; Xiaojing Chu

Accurate assessment of surface suspended sediment concentration (SSSC) in estuary is essential to address several important issues: erosion, water pollution, human health risks, etc. In this study, an empirical cubic retrieval model was developed for the retrieval of SSSC from Yellow River Estuary. Based on sediments and seawater collected from the Yellow River and southeastern Laizhou Bay, SSSC conditions were reproduced in the laboratory at increasing concentrations within a range common to field observations. Continuous spectrum measurements of the various SSSCs ranging from 1 to 5700 mg/l were carried out using an AvaField-3 spectrometer. The results indicated the good correlation between water SSSC and spectral reflectance (Rrs) was obtained in the spectral range of 726–900 nm. At SSSC greater than 2700 mg/L, the 740–900 nm spectral range was less susceptible to the effects of spectral reflectance saturation and more suitable for retrieval of high sediment concentrations. The best correlations were obtained for the reflectance ratio of 820 nm to 490 nm. Informed by the correlation between Rrs and SSSC, a retrieval model was developed (R2 = 0.992). The novel cubic model, which used the ratio of a near-infrared (NIR) band (740–900 nm) to a visible band (400–600 nm) as factors, provided robust quantification of high SSSC water samples. Two high SSSC centers, with an order of 103 mg/l, were found in the inversion results around the abandoned Diaokou River mouth, the present Yellow River mouth to the abandoned Qingshuigou River mouth. There was little sediment exchange between the two high SSSC centers due to the directions of the residual currents and vertical mixing.


Soil Biology & Biochemistry | 2014

Ecosystem photosynthesis regulates soil respiration on a diurnal scale with a short-term time lag in a coastal wetland

Guangxuan Han; Yiqi Luo; Dejun Li; Jianyang Xia; Qinghui Xing; Junbao Yu


Agriculture, Ecosystems & Environment | 2014

Agricultural reclamation effects on ecosystem CO2 exchange of a coastal wetland in the Yellow River Delta

Guangxuan Han; Qinghui Xing; Junbao Yu; Yiqi Luo; Dejun Li; Liqiong Yang; Guangmei Wang; Peili Mao; B.-Y. Xie; Nate Mikle


Chinese Journal of Plant Ecology | 2013

Effect of nitrogen deposition on soil respiration in Phragmites australis wetland in the Yellow River Delta, China: Effect of nitrogen deposition on soil respiration in Phragmites australis wetland in the Yellow River Delta, China

Min Zhu; Zhen-Hua Zhang; Jun-Bao Yu; Li-Xin Wu; Guangxuan Han; Liqiong Yang; Qinghui Xing; B.-Y. Xie; Peili Mao; Guangmei Wang


Agricultural and Forest Meteorology | 2018

Dual effect of precipitation redistribution on net ecosystem CO 2 exchange of a coastal wetland in the Yellow River Delta

Xiaojing Chu; Guangxuan Han; Qinghui Xing; Jianyang Xia; Baoyu Sun; Junbao Yu; Dejun Li


Agricultural and Forest Meteorology | 2018

Precipitation events reduce soil respiration in a coastal wetland based on four-year continuous field measurements

Guangxuan Han; Baoyu Sun; Xiaojing Chu; Qinghui Xing; Weimin Song; Jianyang Xia

Collaboration


Dive into the Qinghui Xing's collaboration.

Top Co-Authors

Avatar

Guangxuan Han

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Junbao Yu

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Xiaojing Chu

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Dejun Li

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Guangmei Wang

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Jianyang Xia

East China Normal University

View shared research outputs
Top Co-Authors

Avatar

Peili Mao

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Baoyu Sun

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Chao Zhan

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge