Automated Author ProfileFeng, Limin
Beijing Normal University
Feng, Limin
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: 1.0 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Evidence-based interventions designed to reduce wildlife-caused losses are essential for human-wildlife coexistence. The lack of systematic summarization of research effort and evidence makes it challenging for researchers, managers, and policymakers to prioritize interventions for evaluation and implementation. Here, we compiled experimental case studies of nonlethal technical interventions designed to reduce the losses of crops, livestock, and fishery catches caused by terrestrial carnivores, elephants, farmland birds, and marine fauna worldwide. Then, we summarized the research effort and the performance of interventions by their sensory stimuli and target animals. We found that: (i) 54 out of 88 interventions included in this study had statistically effective evidence, where only 39% (21/54) were evaluated with more than three experiments (ii) physical-, sound-, chemical-, and light (or visual) -based interventions were the most in numbers and their performance varied greatly; (iii) farmland birds, seabirds, and cetaceans were the most studied animal groups while there are only a few experiments for elephants; and (iv) the interventions for marine fauna generally had no impact on the target catch of fisheries. Syntheses and applications: Our results indicated that collective effort is needed to further evaluate interventions using various sensory stimuli and launch incentive programs to motivate the implementation of interventions, particularly related to marine fauna conservation. Our synthesis could be helpful for stakeholders to tackle the negative human-wildlife interactions outlined as Target 4 of the Kunming-Montreal Global Biodiversity Framework.
Authors
- Huang, Cheng ;
- Chen, Yiqing ;
- Li, Li-Li ;
- Campos-Arceiz, Ahimsa ;
- Wang, Yi ;
- Onditi, Kenneth ;
- Li, Zhongqiu ;
- Feng, Limin ;
- Liu, Yang ;
- Lee, Tien Ming