Curriculum Vitae

Postal Address:

       College of Forestry,

Southwest Forestry University

No.300, Bailong Road, Panlong Dstrict,

Kunming, Yunnan, P.R.China 650224

Mobile: (+86) 15600527087

E-mail: 18600508400@163.com

Education

2017. 9 – 2023. 12  Forestry College, Beijing Forestry University,

                                Ph.D.

                                Major: Forest Protection

2013. 9 – 2017. 7   Forestry College, Shanxi Agricultural University,

                               Bachelor’s Degree of Agriculture

                               Major: Forest Protection

Research

Ø  Study on the disaster mechanism and prevention and control technology of forestry pests

Ø  Research on forest pest monitoring and early warning based on UAV and satellite images

Publications

1. Zhan, Z., Yu, L., Li, Z., Ren, L., Gao, B., Wang, L., & Luo, Y. Combining GF-2 and Sentinel-2 images to tree mortality caused by red turpentine beetle during the early outbreak stage in North China. Forests, 2020, 11: 172.

2. Zhan, Z., Yu, L., Ren, L., Liu, Y., Lu, Z., & Luo, Y. Infestation patterns of incipient red turpentine beetle populations in fire-affected, logged and undisturbed forest stands of northern China. Forest Ecology and Management. 2022, 521: 120424.

3. Zhan, Z., Yu, L., Ren, L., Gao, B., Li, H., Wang, L., & Luo, Y. The association between stand and landscape level factors and red turpentine beetle damage in different infestation stages. Forest Ecology and Management. 2023, 531: 120790.

4. Yu, L., Zhan, Z., Ren, L., Li, H., Huang, H., & Luo, Y. Impact of stand and landscape‐level variables on pine wilt disease-caused tree mortality in pine forests. Pest Management Science. 2023, 79: 1791-1799.

5. Yu, L., Zhan, Z., Ren, L., Liu, Y., Huang, H., & Luo, Y. Effects of stand and landscape level variables on shoot damage ratios caused by shoot beetles in Southwest China. Forest Ecology and Management. 2022, 507: 120030.

6. Liu, Y., Zhan, Z., Ren, L., Ze, S., Yu, L., Jiang, Q., & Luo, Y. Hyperspectral evidence of early-stage pine shoot beetle attack in Yunnan pine. Forest Ecology and Management. 2021, 497: 119505.

7. Yu, L., Zhan, Z., Zhou, Q., Gao, B., Ren, L., Huang, H., & Luo, Y. Climate drivers of pine shoot beetle outbreak dynamics in Southwest China. Remote Sensing. 2022, 14: 2728.

8. Yu, L., Zhan, Z., Ren, L., Zong, S., Luo, Y., & Huang, H. Evaluating the potential of worldview-3 data to classify different shoot damage ratios of Pinus yunnanensis. Forests. 2020, 11, 417.

9. Yang, C., Zhan, Z., Zong, S., & Ren, L. The relationship between landscape patterns and populations of Asian longhorned beetles. Forests. 2022, 13, 1981.

10. Gao, B., Yu, L., Ren, L., Zhan, Z., & Luo, Y. Early detection of Dendroctonus valens infestation with machine learning algorithms based on hyperspectral reflectance. Remote Sensing. 2022, 14, 1373.

11. Gao, B., Yu, L., Ren, L., Zhan, Z., & Luo, Y. Early detection of Dendroctonus valens infestation at tree level with a hyperspectral UAV image. Remote Sensing. 2023, 15, 407.

12. Zhou, Q., Yu, L., Zhang, X., Liu, Y., Zhan, Z., Ren, L., & Luo, Y. (2022). Fusion of UAV hyperspectral imaging and LiDAR for the early detection of EAB stress in ash and a new EAB detection index—NDVI (776,678). Remote Sensing. 2022, 14, 2428.

Awards and Honors

Ø  Outstanding Academic Report Award for outstanding students of National Agriculture and Forestry colleges

Ø  Academic Innovation Award of Beijing Forestry University