Automated Author ProfileKou, Xi
Lanzhou University
Kou, Xi
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 1.5 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
It is well established that dominant plants shape belowground communities, which in turn influence ecosystem functioning. Similarly, herbivores affect belowground communities through physical disturbance and redistribution of organic inputs, but also through their interactions with the plants themselves. However, we know little about how grazing moderates effects of dominant plants on belowground organisms. We established a three-year removal experiment in a grazed and an ungrazed alpine meadow on the Qinghai-Tibet plateau to explore how grazing mediates the effects of the dominant shrub, Dosiphora fruticosa, on nematode communities. We applied structural equation modelling to assess how grazing moderates the effects of D. fruticosa on nematode communities both directly and indirectly via changes in soil physicochemical properties, root biomass and microbial communities. We found that 1) grazing changed the direction of the direct effect of shrub on nematode communities as indicated by the shift from a negative to a positive path coefficient; 2) shrub affected nematode richness mainly through microbial richness. Accordingly, nematode community composition was more closely related to microbial community composition in the ungrazed alpine meadow, while edaphic properties were stronger predictors of nematode community composition responses to shrubs in the grazed meadow; and 3) grazing suppressed the indirect effects of shrub on nematode communities via microbial communities. Our study shows that grazing plays an important role in regulating dominant plant’s effects on belowground community composition and interactions in alpine meadows.
Authors
- Cui, Hanwen ;
- Liu, Ziyang ;
- Chen, Jingwei ;
- Wang, Jiajia ;
- Song, Hongxian ;
- Xiao, Sa ;
- Yang, Xiaoli ;
- Wang, Xiangtai ;
- Wang, Yajun ;
- Kou, Xi ;
- Meng, Lihua ;
- Liu, Kun ;
- Chen, Shuyan ;
- An, Lizhe ;
- Nielsen, Uffe