Automated Author ProfileKohli, Mayank
University of Minnesota0000-0001-9957-0940
Kohli, Mayank
University of Minnesota
0000-0001-9957-0940
Current S-Index
2.2
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
2.2
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: 2.2 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
- Climate over Asian montane rangelands is changing faster than the global average, posing serious threats to the future of the region’s livestock-based economies and cultures. Effects of climate change on rangeland vegetation likely depend on grazing by herbivores but the potential responses of vegetation to such changes in climate and grazing regimes remains unclear. 2. We examined vegetation responses to experimentally simulated climate change (warming, drought and increased rainfall) and grazing (clipping vegetation) between 2015-2018 at two mountain rangeland sites: Spiti valley, in the Indian Trans-Himalaya and Tost, in the Gobi-Altai Mountains in Mongolia. 3. Clipping and climate change manipulations interactively reduced vegetation cover and biomass but did not affect species richness. Treatment effects and their interactions varied between sites. In ungrazed plots, vegetation cover and biomass declined sharply in response to warming (18-35%) and drought (20-50%) at the two sites, and, surprisingly also declined slightly in response to increased rainfall (20%) at Tost. While the effects of climate treatments were largely similar in the grazed and ungrazed plots in Tost, they were larger in the ungrazed plots in Spiti. The decline in vegetation cover was driven by a decline in the cover of both forbs and grasses. 4. In combination, grazing and warming (Tost) or drought (Spiti) had sub-additive effects, i.e., the decrease in vegetation cover in response to grazing and warming/drought was less than the sum of their independent effects but greater than the effect of either manipulation alone. Of the two, warming had a greater effect than drought at the more arid site (Tost), while drought had a larger effect at the more mesic site (Spiti). Synthesis and applications. Our findings show that future changes in climate, including just over 1oC of warming, could undermine the sustainability of pastoral economies and the persistence of wildlife across Asian montane rangelands. Further, grazing by herbivores will play an important role in mediating rangeland responses to climate change; thus, pasture management in concert with local pastoralists will be crucial in mitigating the adverse effects of climate change on rangelands, pastoral livelihoods and wildlife populations.
Authors
- Kohli, Mayank ;
- Mijidorj, Tserennadmid ;
- Suryawanshi, Kulbhushansingh ;
- Mishra, Charudutt ;
- Boldgiv, Bazartseren ;
- Sankaran, Mahesh
1 Citation0 Mentions77% FAIR2.2 Dataset Index
10.5061/dryad.g4f4qrfnz2020