关键词: 地表反照率, 高寒地区, 植物群落, 潜剖面分析

Abstract: From 2000 to 2020, data on alpine plant community characteristics and surface albedo were collected in Henan Mongolian Autonomous County, Huangnan Tibetan Autonomous Prefecture, Qinghai Province. The study focused on typical plant communities, including Potentilla fruticosa (PF), Elymus nutans (EN), Kobresia humilis (KH), Kobresia pygaea (KP), and Kobresia tibetica (KT). These communities were investigated using a classification method based on community characteristics and remote sensing technology. Surface albedo characteristics of these plant communities were extracted and analyzed, and a Latent Class Analysis (LCA) model was constructed to classify surface albedo across different plant communities. The results revealed significant spatial and temporal differences in surface albedo within the alpine region (P<0.05). Over the past 21 years, surface albedo across these plant communities showed a slow decreasing trend. Scrub and meadow communities exhibited notable differences in various surface albedo bands, with P. fruticosa shrublands showing significant variation in near-infrared albedo compared to other plant communities. This difference can serve as a basis for remote sensing classification of different grassland types. Using the LCA model, the integration of surface albedo data and plant community characteristics allowed for the classification of plant communities into four distinct categories:“Medium-low albedo” “Medium-high albedo” “Low albedo” and “High albedo”.

Key words: Surface albedo, Alpine region, Plant community, Latent profile analysis