Yang Li

Publications:
[1] Li Y, Zhang W, Schwalm, C. R., Gentine, P, et al. Widespread spring phenology effects on drought recovery of Northern Hemisphere ecosystems[J]. Nature Climate Change, 2023. ( https://doi.org/10.1038/s41558-022-01584-2)
[2] Zhang W, Li Y, Wu X, et al. Divergent response of vegetation growth to soil water availability in dry and wet periods over Central Asia[J]. Journal of Geophysical Research: Biogeosciences, 2021, 126(6): e2020JG005912.
[3] Xu T., Wu X., Tian Y., Li Y., et al. (2021). Soil property plays a vital role in vegetation drought recovery in karst region of southwest China[J]. Journal of Geophysical Research: Biogeosciences, 126(12), e2021JG006544.
[4] Li Y., Zhang W., Chen Y., Li J.* (2019) Self-Calibrating Palmer Drought Severity Index-based analysis on spatial and temporal characteristics of drought from 1961 to 2015 in China[J]. Water Resources and Hydropower Engineering, 50(01):43-51. (In Chinese)
[5] Zhang Y., Chen Y., Li Y., Xia H., & Li J. (2019). Reconstructing One Kilometre Resolution Daily Clear-Sky LST for China’s Landmass Using the BME Method[J]. Remote Sensing, 11(22), 2610.
[6] Zhang W., Li J., Chen Y., & Li Y. (2019). A Surrogate-Based Optimization Design and Uncertainty Analysis for Urban Flood Mitigation[J]. Water Resources Management, 33(12), 4201-4214.

Manuscripts In Progress
[1] Li Y, Zhang W, Moore D. J., Breshears D. D., Smith K. B., Babst F. Wu X. et al. Dryland Loses its Resilience to Hot Droughts.
[2] Li Y, Zhang W, Chen Y, Li J, et al. Divergent Ecosystem Resilience in Energy- and Water-Limited Regions to Hot Droughts.

Research Experiences
1）Ecosystem resilience under hot vs. normal drought across the Northern Hemisphere (2021-present).
Quantify drought resilience under hot drought and dry drought in different climate regions.
 Highlights
Prediction of ecosystem resilience in the future warming world.
Using resilience as an early warning signal of forest mortality.
This project provides a basis for the design of land-based mitigation and adaptation plans in a future warming world.
2）Drought recovery of Northern Hemisphere ecosystems (2019-2022)
Comprehensively quantify vegetation recovery time from extreme droughts.
Revealed the complex interactions between vegetation phenology, drought timing, bioclimatic factors, and drought recovery.
 Highlights
Emphasize how the crucial role of phenology affects drought recovery and influences terrestrial ecosystem resilience under global warming.
3）Droughts Monitoring Using Multi-source Remote Sensing data based on machine learning (2019-2021)
Combining multi-source remote sensing data and in-situ data to monitor droughts across China
 Highlights
This project Improved the predictions of carbon and flux response to droughts (e.g., 2009-2010 western China drought).
4）High Resolution (30m) Fractional Vegetation Cover
Using Google Earth Engine (GEE) to produce a FVC dataset derived from Landsat in Inner Mongolia from 1978 to 2018.
Analyzed the vegetation dynamics in the past 40 years in Inner Mongolia.
 Highlights
This dataset served the government in making land and rangeland management policy.
5）Vegetation dynamics and its response to climate change in the semi-arid region of Central Asia (2018-2019)
Investigation of the spatial-temporal patterns of vegetation responses to hydroclimate conditions in Central Asia.
Exploring phenology and climate factors that modulate the variations of the vegetation-water relationship in dryland.
6）Large-scale droughts monitoring using in-situ meteorological stations from 1961 to 2015 in China (2018-2019)
Spatiotemporal patterns of droughts were identified based on sc-PDSI (Self-Calibrated Palmer Drought Severity Index) from 1961-2015 across China.
Drought severity, intensity and affected area of different drought levels were assessed.
 Highlights
Drought center in China has been moved into densely populated areas from 1961 to 2015
7）Floods inundation simulation system (2016-2017)
Constructing the 2D hydro-hydraulic model to simulate the flooded area in small basins.
In charge of the programming and development of the rainstorm flood simulation system.
 Highlights
By observing the system's behavior, mitigation measures were designed to reduce flood damages.
This system was deployed at the Regional Climate Center of Shenyang, China. Providing services for government decision-making.

Conference Presentation & Workshop
Li, Y., Vegetation recovery patterns under drought stress in China from 2000 to 2018 (Poster). AGU Fall Meeting, 9-13 December, San Francisco, USA. (2019).

Skills
Python, R, MySQL, Google Earth Engine, ArcGIS, QGIS, ENVI, Machine Learning, HPC (High Performance Computing), Parallel Computing, Adobe Illustrator/Photoshop/Dreamweaver, Linux, OpenWRT, KVM (Kernel-based Virtual Machines), Raspberry Pi

Open-Source Packages (Pypi)

Open-Source Projects (GitHub)

Languages
English (Proficient)
Mandarin (Native)