A5018243764- Land Use and Ecosystem Services
- Ecology and Vegetation Dynamics Studies
- Plant and animal studies
- Plant Ecology and Soil Science
- Remote Sensing in Agriculture
- Species Distribution and Climate Change
- Forest ecology and management
- Plant-Microbe Interactions and Immunity
- Genetics and Plant Breeding
- Agronomic Practices and Intercropping Systems
- Remote Sensing and Land Use
- Nematode management and characterization studies
- Climate change impacts on agriculture
- Legume Nitrogen Fixing Symbiosis
- Forest, Soil, and Plant Ecology in China
- Ecology and Conservation Studies
Minzu University of China
2022-2024
State Ethnic Affairs Commission
2022
Plant leaf functional traits can reflect the adaptive strategies of plants to environmental changes. Exploring patterns and causes geographic variation in is pivotal for improving ecological theory at macroscopic scale. In order explore geographical dominant factors forest ecosystems China, we measured 15 on 16 33 reserves China. The results showed area (LA), carbon-to-nitrogen ratio (C/N), carbon-to-phosphorus (C/P), nitrogen-to-phosphorus (N/P), phosphorus mass per (Pa) nitrogen isotope...
Stover mulching, as a sustainable agricultural conservation practice, has been shown to effectively increase soil organic matter and enhance crop yields. The impact of stover mulching on microorganisms extensively studied. However, less attention given endophytic rhizospheric that have closer relationships with crops. How do the quality frequency affect composition structure these endosphere rhizosphere microbial communities? And what is their influence critical indicators health such...
Aims: Landscape pattern is an important driving factor that influences changes in plant species diversity (PSD) and functional (PFD).The Hunshandak Sandland, a region Inner Mongolia, characterized by variety of sand dunes, lakes, built-up areas to form complex evolving landscape, which presents ideal area elucidate these mechanisms.Methods: In this study, we processed remote-sensing images from 2008-2017 the study conducted field surveys analysis investigate PSD PFD.Spearman correlation...
Species distribution, spatial distance, and neighboring interact6ions are among the most important drivers of global variation in plant species diversity. However, effects climate change on relationship between interactions diversity remain unknown. Here, we applied 12 machine learning models to assess responses spectral (indicating diversity) forests seven protected forest areas China. Changes 27 climatic variables during two time periods, 1990–2005 2005–2020, were analyzed. The results...
Abstract Aim Stochastic and deterministic (biotic factors such as intraspecies competition or abiotic factors) processes affect the spatial patterns of ecological communities. These can be quantitatively assessed based on autocorrelation (SAC) parameters. However, global SAC their differences across vegetation types remain unknown. We aimed to (1) assess pattern in plant communities variation from 1990 2020 (2) identify key drivers protected areas (PAs). Location Global. Time Period...