Automated Author ProfileLuo, Hao
Chinese Academy of SciencesInstitute of Atmospheric PhysicsUniversity of Chinese Academy of Sciences
Luo, Hao
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: 0.7 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Global climate change is known to affect the assembly of ecological communities by altering species’ spatial distribution patterns, but little is known about how climate change may affect community assembly by changing species’ temporal co-occurrence patterns, which is highly likely given the widely observed phenological shifts associated with climate change. Here we analyzed a 29-year phenological data set comprising community-level information on the timing and span of temporal occurrence in 11 seasonally occurring animal taxon groups from 329 local meteorological observatories across China. We show that widespread shifts in phenology have resulted in community-wide changes in the temporal overlap between taxa that are dominated by extensions, and that these changes are largely due to taxa's altered span of temporal occurrence rather than the degree of synchrony in phenological shifts. Importantly, our findings also suggest that climate change may have led to less phenological mismatch than generally presumed, and that the context under which to discuss the ecological consequences of phenological shifts should be expanded beyond asynchronous shifts.
Authors
- Hua, Fangyuan ;
- Hu, Junhua ;
- Liu, Yang ;
- Giam, Xingli ;
- Lee, Tien Ming ;
- Luo, Hao ;
- Wu, Jia ;
- Liang, Qiaoyi ;
- Zhao, Jian ;
- Long, Xiaoyan ;
- Pang, Hong ;
- Wang, Biao ;
- Liang, Wei ;
- Zhang, Zhengwang ;
- Gao, Xuejie ;
- Zhu, Jiang