Automated Author ProfileZuo, Hanling
0000-0002-8914-4785
Zuo, Hanling
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: 0.6 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Forests are recognized as the largest natural source of nitrous oxide (N2O) emissions on land, with deforestation drastically reducing the cover and biodiversity of native forests worldwide. Yet, how losses in forest biodiversity affect soil N2O fluxes remains poorly understood. Here, we combined a global tree diversity-forest soil N2O dataset, including 201 paired comparable observations from global forests, with a three years field survey of in-situ fluxes data gathered from a long-term plant diversity field experiment. Our analyses reveal that tree diversity has a significant negative effect on soil N2O emissions, primarily driven by a decrease in N2O production associated with denitrification. More specifically, we showed that reductions in N2O emissions with tree diversity can be attributed to a decrease in the availability of soil inorganic nitrogen. Predictive modeling further shows that compared to single tree species, forests with two tree species can reduce global N2O emissions by 10.39%, while those with 24 tree species achieve the maximum mitigation effect, reducing emissions by 56.30%. Taken together, our work highlights the contribution of tree diversity for mitigating N2O emissions, highlighting the importance of accounting for biodiversity when reforesting old forests, and while supporting new afforestation processes.
Authors
- Zuo, Hanling
Forests are recognized as the largest natural source of nitrous oxide (N2O) emissions on land, with deforestation drastically reducing the cover and biodiversity of native forests worldwide. Yet, how losses in forest biodiversity affect soil N2O fluxes remains poorly understood. Here, we combined a global tree diversity-forest soil N2O dataset, including 201 paired comparable observations from global forests, with a three years field survey of in-situ fluxes data gathered from a long-term plant diversity field experiment. Our analyses reveal that tree diversity has a significant negative effect on soil N2O emissions, primarily driven by a decrease in N2O production associated with denitrification. More specifically, we showed that reductions in N2O emissions with tree diversity can be attributed to a decrease in the availability of soil inorganic nitrogen. Predictive modeling further shows that compared to single tree species, forests with two tree species can reduce global N2O emissions by 10.39%, while those with 24 tree species achieve the maximum mitigation effect, reducing emissions by 56.30%. Taken together, our work highlights the contribution of tree diversity for mitigating N2O emissions, highlighting the importance of accounting for biodiversity when reforesting old forests, and while supporting new afforestation processes.
Authors
- Zuo, Hanling