Automated Author ProfileZhang, Weidong
Chinese Academy of Sciences
Zhang, Weidong
Chinese Academy of Sciences
Current S-Index
2.0
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
2.0
Average Dataset Index per dataset
Total Datasets
1
Total datasets for this author
Average FAIR Score
76.9%
Average FAIR Score per dataset
Total Citations
1
Total citations to the author's datasets
Total Mentions
0
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: 2.0 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
- Plant litter inputs can promote the decomposition of soil organic matter (OM) through the priming effect (PE). However, whereas leaf litter chemistry has long been identified as the primary driver of litter decomposition within biomes worldwide, little is known about how litter chemical traits influence the occurrence and strength of the PE. 2. Here, we studied the effects of 15 co-occurring C3 leaf litters of contrasting chemistry on C4 soil respiration by analyzing changes in 13C natural abundance during early and later stages of litter decomposition (up to 125 days). 3. Besides an apparent PE of 16% in the first three days, soil C respiration was increased by 24% on average with leaf litter addition in the initial stage of decomposition (426 d) and by 8% at later stages (27125 d). Most interestingly, soil PE related well to initial litter chemistry and the dominant factors influencing the magnitude of the PE changed with decomposition stage. In the early stage of decomposition, litter leachate C content and litter hemicellulose concentration were positively correlated with the strength of the PE, whereas tannin concentration was negatively associated with soil PE. Together, tannin and hemicellulose explained half of the observed variation in the PE (R2 = 0.58). In the later phase of decomposition, lignin and lignin:N ratios were negatively related to the PE, whereas Ca, K and Mg concentrations were positively related to the PE; lignin alone gave the best prediction of the PE (R2 = 0.58) at later decomposition stages. 4. Our findings provide evidence that the magnitude and direction of the PE is influenced by the chemistry of organic matter inputs and suggest that, as decomposition proceeds differently among litter of contrasting chemistry, litters can also have variable effect on soil PE through time. The predictive power of litter chemical traits on soil PE opens new perspectives for improving our mechanistic understanding of soil PE and improving our abilities to model soil C dynamics at variable scales.
Authors
- Chao, Lin ;
- Liu, Yanyan ;
- Freschet, Grégoire ;
- Zhang, Weidong ;
- Yu, Xin ;
- Zheng, Wenhui ;
- Guan, Xin ;
- Yang, Qingpeng ;
- Chen, Longchi ;
- Dijkstra, Feike ;
- wang, Silong ;
- Dijkstra, Feike A.
1 Citation0 Mentions77% FAIR2.0 Dataset Index
10.5061/dryad.b4s71jjJanuary 2019