Automated Author ProfileWang, Yingxin
Lanzhou University0000-0002-1832-3233
Wang, Yingxin
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: 1.9 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
In the plant community with a shrub-grass mosaic, the main types of litter include herbaceous litter and its mixed forms with shrub leaves and stems. However, the quantitative relationship between the litter composition type and the litter decomposition, as well as how these processes are influenced by grazing activities (e.g., excrement deposition), remains largely unexplored. Herein, a three-year litter incubation experiment was conducted in a shrub-encroached alpine meadow. We aimed to elucidate the individual and interactive effects of litter type (solely grass litter (L), a mixture of grass litter and shrub leaves (L1), and a mixture of grass litter, shrub leaves, and shrub stems (L2)) and yak excrement addition (no addition, addition of dung only, addition of urine only, addition of both dung and urine) on the litter decomposition rate and nutrients release. Additionally, the initial chemical quality of litter, soil microclimate, soil nutrients, and soil microbial attributes were analyzed to ascertain the underlying driving mechanisms. We found that litter type and yak excrement had significant individual and interactive effects on litter decomposition. Specifically, litter type primarily affected litter decomposition by increasing initial carbon and lignin concentration and reducing the nitrogen and phosphorus concentration of the litter. In contrast, yak excrement positively impacted litter decomposition through enhancing soil pH and soil microbial activity. Crucially, low-quality litter (L2) mitigated the positive effects of yak excrement on litter decomposition. While the addition of yak excrement did not alter the overall direction of litter decomposition, it influenced the magnitude of the effects caused by litter mixing. Notably, temporary nitrogen immobilization was observed during the early stages of decomposition, and net phosphorus release patterns were evident throughout the decomposition process. However, the duration of nitrogen immobilization differed depending on the litter type and yak excrement treatment. Our findings provide localized evidences that elucidates the interactive effects of litter type and yak excrement addition on litter decomposition and nutrient release processes. These results contribute to a deeper understanding of how grazing activity modulate nutrient cycling in shrub-encroached grassland ecosystems.
Authors
- Wang, Yingxin ;
- Zhou, Qingping ;
- Chu, Jianmin ;
- Zhang, Jinxin ;
- Hou, Fujiang