Dr. Yin

Prof. Dr. Yin


Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

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

Representative Publications

View All Publications
25 July 2023 in Plants
Verified
Journal Article
Open access
PDF file
DYDr. Yin
Dr. Yin
ZMZhenghu Ma
Zhenghu Ma
YYYingpan Yang
Yingpan Yang
BDBin Du
Bin Du
FSfubin sun
fubin sun
ZYZhen Yang
Zhen Yang
Due to the problems of relatively fragile stability, the quality of soil in the drip-irrigated agricultural ecosystem has high spatial heterogeneity and experiences significant degradation. We conducted a two-year field plot study (2021–2022) in a typical region of the arid zone with the “wolfberry” crop as the research object, with three irrigation and three nitrogen application levels, and the local conventional management as the control (CK). Soil quality under experimental conditioning was comprehensively evaluated based on Principal Component Analysis (PCA) and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS), and regression analyses were carried out between the soil quality evaluation results and wolfberry yield. The results showed that short-term water and nitrogen regulation enhanced the soil nutrient content in the root zone of wolfberry to some extent, but it did not significantly affect soil carbon:soil nitrogen (Csoil:Nsoil), soil carbon:soil phosphorus (Csoil:Psoil), and soil nitrogen:soil phosphorus (Nsoil:Psoil). When the irrigation quota was increased from I1 to I2, the soil microbial biomass carbon, nitrogen, and phosphorus (Cmic, Nmic, and Pmic) tended to increase with the increase in N application, but the microbial biomass carbon:nitrogen (Cmic:Nmic), microbial biomass carbon:phosphorus (Cmic:Pmic), and microbial biomass nitrogen:phosphorus (Nmic:Pmic) did not change significantly. The comprehensive evaluation of the principal components and TOPSIS showed that the combined soil nutrient–microbial biomass and its ecological stoichiometry characteristics were better under the coupled treatments of I2, I3, N2, and N3, and the overall soil quality under these treatment conditions was significantly better than that under the CK treatment. Under I1 irrigation, nitrogen application significantly increased the yield of wolfberry, while under I2 and I3 irrigation, the wolfberry yield showed a parabolic trend with the increase in nitrogen application. The highest yield was recorded in the I2N2 treatment in the first and second years, with yields of 9967 kg hm−2 and 10,604 kg hm−2, respectively. The coefficient of determination (explained quantity) of the soil quality based on soil nutrient–microbial biomass and the characteristics of its ecological stoichiometry for wolfberry yield ranged from 0.295 to 0.573. These findings indicated a limited positive effect of these indicators of soil on wolfberry yield. The short-term water and nitrogen regulation partly influenced the soil and soil microbial biomass in agroecosystems, but the effect on elemental balance was not significant. Our findings might provide theoretical support for managing the health of agricultural ecosystems.

29 July 2026 in Microorganisms
Verified
Journal Article
Open access
PDF file
JDJunlin Dong
Junlin Dong
XQXiaocong Qiu
Xiaocong Qiu
DYDr. Yin
Dr. Yin
CXCheng Xu
Cheng Xu
QYQiangqiang Yang
Qiangqiang Yang
ZZZengfeng Zhao
Zengfeng Zhao
Reservoir water and sediments are interconnected but ecologically distinct microbial habitats. Their seasonal bacterial dynamics and assembly processes remain poorly understood in arid and semi-arid regions. We investigated bacterial communities in the water and surface sediments of eight reservoirs in Guyuan, Ningxia, in April, July, and October 2025 using 16S rRNA gene sequencing. Water and sediment communities differed markedly in composition. Sediments had substantially higher α-diversity than water: mean Chao1 and Shannon indices were 3063.12 and 9.98 in sediments, compared with 748.38 and 6.25 in water. Seasonal turnover was stronger in water. Water communities differed significantly between April and July (R2 = 0.1139, p = 0.001) and between April and October (R2 = 0.0968, p = 0.013), whereas sediment communities did not differ between April and July (R2 = 0.0581, p = 0.877). Water communities were also more closely associated with seasonal changes in temperature, pH, and nutrients. βNTI-based null models indicated that water communities were mainly associated with stochastic processes sensu lato, whereas sediments showed a stronger deterministic signal, particularly heterogeneous selection. Sediment co-occurrence networks were more complex; in July, they contained 10,496 edges, compared with 7005 edges in water. Network complexity peaked in July in both habitats. These findings show that sediments act as relatively diverse and stable microbial reservoirs, whereas water communities respond more strongly to seasonal environmental variation. They clarify how habitat and season jointly structure bacterial communities in arid and semi-arid reservoirs.