Xinru Fu
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Xinru Fu has a total of 8 co-authors. Here are the top co-authors by number of shared publications:
- Haodong Liu
China Aero Geophysical Survey and Remote Sensing Center for Natural Resoures, Beijing 100083, China
1 shared publication - Hua Liu
School of Forestry & Lanscape Architecture, Anhui Agricultural University, Hefei 230036, China
1 shared publication - Jiajia Xia
Institute of Forest Resource Information Techniques Chinese Academy of Forestry, Beijing 100091, China
1 shared publication - Qiao Chen
Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China
1 shared publication - Yongfu Chen
Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia 010018, China; Key Laboratory of Dairy Products Processing, Ministry of Agriculture and Rural Affairs, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia 010018, China; Inner Mongolia Key Laboratory of Dairy Biotechnology and Engineering, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia 010018, China
1 shared publication - Yongshou Ma
Forestry and Prairie Station of Golog Tibetan Autonomous Prefecture of Qinghai Province, Golog 814000, China
1 shared publication
Latest Publications
- Open Access
Spatial Distribution Patterns of Herbaceous Vegetation Diversity and Environmental Drivers in the Subalpine Ecosystem of Anyemaqen Mountains, Qinghai Province, China
Understanding the spatial distribution of herbaceous vegetation is critical for assessing how biodiversity may respond to climate change, particularly in high-elevation ecosystems. The Qinghai-Tibet Plateau in China is a hotspot of biodiversity research in the world, and the relationship between plant species distribution in alpine communities and topography and soils is understudied in the Anyemaqen Mountains in the northeast of the Qinghai-Tibet Plateau. This study investigates the patterns of α and β diversity of herbaceous plants and their key environmental drivers in the subalpine ecosystem of the Anyemaqen Mountains on the Qinghai-Tibet Plateau. Data on vegetation and environmental variables were collected across a gradient of 10 elevations ranging from 3600 to 4600 m during the 2021 growing season. Statistical analyses, including one-way ANOVA, redundancy analysis (RDA), and Monte Carlo significance tests, revealed significant differences between sunny and shady slopes in species composition and diversity. Species richness decreased with increasing elevation on sunny slopes, while the reverse trend was observed on shady slopes. Elevation and gradient were the most influential factors in both slope aspects, while soil thickness was significant on shady slopes. These findings contribute to understanding the environmental mechanisms that regulate biodiversity in alpine ecosystems and provide valuable insights for formulating conservation strategies in response to climate change.
Open AccessSpatial Distribution Patterns of Herbaceous Vegetation Diversity and Environmental Drivers in the Subalpine Ecosystem of Anyemaqen Mountains, Qinghai Province, China
Understanding the spatial distribution of herbaceous vegetation is critical for assessing how biodiversity may respond to climate change, particularly in high-elevation ecosystems. The Qinghai-Tibet Plateau in China is a hotspot of biodiversity research in the world, and the relationship between plant species distribution in alpine communities and topography and soils is understudied in the Anyemaqen Mountains in the northeast of the Qinghai-Tibet Plateau. This study investigates the patterns of α and β diversity of herbaceous plants and their key environmental drivers in the subalpine ecosystem of the Anyemaqen Mountains on the Qinghai-Tibet Plateau. Data on vegetation and environmental variables were collected across a gradient of 10 elevations ranging from 3600 to 4600 m during the 2021 growing season. Statistical analyses, including one-way ANOVA, redundancy analysis (RDA), and Monte Carlo significance tests, revealed significant differences between sunny and shady slopes in species composition and diversity. Species richness decreased with increasing elevation on sunny slopes, while the reverse trend was observed on shady slopes. Elevation and gradient were the most influential factors in both slope aspects, while soil thickness was significant on shady slopes. These findings contribute to understanding the environmental mechanisms that regulate biodiversity in alpine ecosystems and provide valuable insights for formulating conservation strategies in response to climate change.