SLN invites you to join us for our upcoming webinar and is delighted to welcome Li Xueyang (Our Speaker) and Wei Chunyue (Our Facilitator).
About the Talk:
This work unveils China’s first large-scale assessment of snow leopard populations, focusing on the Sanjiangyuan region, spanning over 360,000 km2. By integrating and standardizing seven years of camera trap data (2015–2021) from 12 sites across four organizations, we obtained a population estimation of 1,002 snow leopards (755–1,341) in Sanjiangyuan, with a density of 0.90 individuals per 100 km². These findings not only highlight Sanjiangyuan’s role as a global conservation priority but also demonstrate a scalable framework for synthesizing existing data to estimate elusive species population.
About our Speaker:
Li Xueyang is a Scientific Consultant at Shan Shui Conservation Center, China, and a postdoctoral researcher at Peking University. Since 2017, Li has focused on large carnivores on the Qinghai-Tibet Plateau, starting her research from snow leopard population. Her PhD focused on the interspecific relationship between sympatric snow leopards and common leopards. She is now focusing on snow leopard initiatives in Shan Shui and managing the camera trap database.
About our Facilitator:
Wei Chunyue starts her journey in wildlife conservation from camera trap data processing and analysis working with Shan Shui Conservation Center. She then participated in snow leopard monitoring and conservation work on the Tibetan Plateau and Southeast Tibet. Chunyue is now dedicated to exploring the potential of other effective area-based conservation measures (OECMs) in China. Chunyue holds a BSc. In Environmental Engineering from Tsinghua University and a MSc. In Environmental Engineering from Stanford University.
Date/Time:
Thursday, 22nd May at 15:00 PM (Bishkek time)
Location:
ZOOM, to join this talk, REGISTER HERE
Please note:
- If you have never used Zoom before, we recommend that you try the link 10 minutes before the start of the lecture.
- Please feel free to write questions in the comment area and there will be time for questions/discussion at the end of the talk.
- Please note that the session will be recorded and later featured on the SLN website. If you have concerns about this please let us know before the session