Xue xin Shao

Dr. Xue xin Shao

orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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6 July 2022 in Frontiers in Plant Science
Verified
Journal Article
Open access
JXJing Xiong
Jing Xiong
XSXue xin Shao
Xue xin Shao
HYHaijing Yuan
Haijing Yuan
ELEnjun Liu
Enjun Liu
MWMing Wu
Ming Wu
Ecological stoichiometry can not only instruct soil nutrient stocks and availability, but also indicated plant growth strategy and adaptability to environmental changes or stress. This study was carried out to examine the plant–soil Carbon (C), Nitrogen (N), and Phosphorus (P) stoichiometry distributions and patterns in three tidal wetlands [mudflat (MF), native Phragmites australis-dominated community wetland (NW), invasive Spartina alterniflora-dominated community wetland (IW)], and one reclaimed P. australis-dominated community wetland (RW) in Hangzhou Bay coastal wetland. The results showed that land-uses have more effect on C and N contents, and C:N and N:P ratios in plant than in soil, P content and C:P ratios more affected by plant organ and soil depth. Compared to land-use, both plant organ and soil depth have stronger effects on C, N, and P stoichiometry. Among tidal wetlands, plant N content and C:P, N:P ratios were significantly higher in NW than in IW. In contrast, plant C, N, and P contents and C:P and N:P ratios were significantly lower in RW, and plant C:N was higher. Soil C, N, and P stocks were similar between tidal wetlands, and were significant higher than those of RW, indicating that reclamation were not beneficial to soil nutrient storage. In the NW, soil N availability was relatively high, and P availability was relatively low; and leaf N:P was 15.33, which means vegetation was co-limited by N and P nutrients. In addition, plants in the NW mainly adopted a conservative growth strategy, with a significantly low aboveground biomass of 1469.35 g·m2. In the RW, soil N availability was relatively low, P availability was relatively high, and leaf N:P was 3, which means vegetation was limited by N nutrient. In addition, plants in the RW mainly adopted a rapid growth strategy, with a significantly high aboveground biomass of 3261.70 g·m2. In the IW, soil N availability was relatively low, soil P availability was relatively high, and leaf N:P was 5.13, which means vegetation was limited by N nutrient. The growth strategy and aboveground biomass (2293.67 g·m2) of the IW were between those of the NW and RW. Our results provide a reference for nutrient management and evaluating the impacts of land-use types on coastal wetland ecosystems.

25 December 2017 in Remote Sensing
Verified
Journal Article
Open access
PDF file
DLDengqiu Li
Dengqiu Li
Dengsheng LuDengsheng Lu
Dengsheng Lu
MWMing Wu
Ming Wu
XSXue xin Shao
Xue xin Shao
JWJinhong Wei
Jinhong Wei
Land cover changes significantly influence vegetation greenness in different regions. Dense Landsat time series stacks provide unique opportunity to analyze land cover change and vegetation greenness trends at finer spatial scale. In the past three decades, large reclamation activities have greatly changed land cover and vegetation growth of coastal areas. However, rarely has research investigated these frequently changed coastal areas. In this study, Landsat Normalized Difference Vegetation Index time series (1984–2016) data and the Breaks For Additive Seasonal and Trend algorithm were used to detect the intensity and dates of abrupt changes in a typical coastal area—Hangzhou Bay, China. The prior and posterior land cover categories of each change were classified using phenology information through a Random Forest model. The impacts of land cover change on vegetation greenness trends of the inland and reclaimed areas were analyzed through distinguishing gradual and abrupt changes. The results showed that the intensity and date of land cover change were detected successfully with overall accuracies of 88.7% and 86.1%, respectively. The continuous land cover dynamics were retrieved accurately with an overall accuracy of 91.0% for ten land cover classifications. Coastal reclamation did not alleviate local cropland occupation, but prompted the vegetation greenness of the reclaimed area. Most of the inland area showed a browning trend. The main contributors to the greenness and browning trends were also quantified. These findings will help the natural resource management community generate better understanding of coastal reclamation and make better management decisions.

2 October 2017 in PLOS ONE
Verified
Journal Article
Open access
PDF file
XSXue xin Shao
Xue xin Shao
XSXuancai Sheng
Xuancai Sheng
MWMing Wu
Ming Wu
HWHao Wu
Hao Wu
XNXiao Ning
Xiao Ning
Changes in the hydrological conditions of coastal wetlands may potentially affect the role of wetlands in the methane (CH4) cycle. In this study, the CH4 production potential and emissions from restored coastal reed wetlands at different water levels were examined in eastern China at a field scale in two phenological seasons. Results showed that the total CH4 flux from reeds at various water levels were positive, indicating that they were “sources” of CH4. During the peak growing season, CH4 flux from reeds was greater than that during the spring thaw. CH4 flux from reeds in inundated conditions was greater than that in non-inundated conditions. The CH4 production potential during the peak growing season was far greater than that during the spring thaw. However, the effect of water level on wetland CH4 production potential differed among seasons. The correlations among CH4 production potential, soil properties and CH4 flux change at different water level. These results demonstrate that water level was related to CH4 production and CH4 flux. The growing season also plays a role in CH4 fluxes. Controlling the hydrological environment in restored wetlands has important implications for the maintenance of their function as carbon sinks.

29 March 2024 in CATENA
Verified
Journal Article
Closed access
JXJing Xiong
Jing Xiong
XSXue xin Shao
Xue xin Shao
NLNiu Li
Niu Li
HYHaijing Yuan
Haijing Yuan
ELEnjun Liu
Enjun Liu
MWMing Wu
Ming Wu

11 September 2023 in Plant and Soil
Verified
Journal Article
Closed access
PDF file
JXJing Xiong
Jing Xiong
XSXue xin Shao
Xue xin Shao
HYHaijing Yuan
Haijing Yuan
ELEnjun Liu
Enjun Liu
HXHaidong Xu
Haidong Xu
MWMing Wu
Ming Wu

29 December 2022 in Biology and Fertility of Soils
Verified
Journal Article
Closed access
PDF file
HYHaijing Yuan
Haijing Yuan
XSXue xin Shao
Xue xin Shao
YZYihuan Zhao
Yihuan Zhao
JXJing Xiong
Jing Xiong
MWMing Wu
Ming Wu