*4.3. Uncertainty Analysis and Future Perspectives*

This paper not only analyzes soil erosion in the YRB, but also discusses the multiscale spatiotemporal characteristics of influencing factors. But there are still some uncertainties. Firstly, due to the insufficiency of regional experiments data and measured data, the RUSLE model was used to evaluate the soil erosion status in this study. Although the model passed the validation, the accuracy could be further improved. Data with different sources and resolutions (e.g., DEM, precipitation, NDVI) lead to uncertainty in the model [70]. The R factor, LS factor, K factor, and C factor are all calculated using empirical equations, and the P factor is assigned according to the LU/LC, which all have a certain degree of subjectivity. In the further research, the transport limited sediment delivery (TLSD) function can be integrated and calibrated with the RUSLE model. Secondly, this study did not conduct an in-depth analysis of the influencing factors at the provincial, city, and county scales. In further research, it is necessary to spatially visualize the spatial distribution of influencing factors, especially human activities, and further analyze the spatial distribution of influencing factors. At last, the soil erosion in the YRB is the most intense in June, July, and August, and NDVI has a stronger explanatory power than slope, while from October to March, the soil erosion intensity is smaller, and slope has a stronger explanatory power than NDVI [10]. Therefore, data with higher precision and temporal resolution should be collected in future research to explore the seasonal changes in soil erosion and its influencing factors.

#### **5. Conclusions**


**Author Contributions:** Conceptualization, Z.Y.; methodology, Z.Y.; software, Z.Y.; validation, Z.Y. and J.C.; formal analysis, Z.Y. and J.C.; investigation, J.C.; resources, J.C. and Y.H.; data curation, Z.Y. and Y.H.; writing—original draft preparation, Z.Y.; writing—review and editing, Z.Y. and J.C.; visualization, Z.Y.; supervision, J.C.; project administration, Z.Y.; funding acquisition, J.C. All authors have read and agreed to the published version of the manuscript.

**Funding:** This research was funded by the National Natural Science Foundation of China, grant number 72104130; the National Social Science Foundation of China, grant number 18BJY086, and the Natural Science Foundation of Shandong Province, China, grant number ZR2012DM009.

**Institutional Review Board Statement:** Not applicable.

**Informed Consent Statement:** Not applicable.

**Data Availability Statement:** Not applicable.

**Acknowledgments:** The data set is provided by National Tibetan Plateau Data Center (http:// data.tpdc.ac.cn, accessed on 17 April 2022), Resource and Environment Science and Data Center (https://www.resdc.cn, accessed on 24 December 2021) etc.

**Conflicts of Interest:** The authors declare no conflict of interest.
