Huanjun Liu
Datos Biográficos
| ID | 3584401 |
|---|---|
| NOMBRE | Huanjun Liu |
| NOMBRES | Huanjun |
| APELLIDO | Liu |
| FIRMA | LIU H |
| AFILIACIONES | State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences Changchun China |
| ORCID | 0000-0002-7671-7863 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 7 |
| TOTAL DE CITAS | 10 |
| TOTAL COMO AUTOR | 7 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2019 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 2 |
Effects of Farmland Scale on Soil Organic Matter Change in Black Soil Areas of China in the Past 40 Years
Differences in farmland scale led to variations in agricultural practices and management, which in turn influence the direction and rate of changes in soil organic matter (SOM). This study collected 574 topsoil samples (0–20 cm) from the Youyi Farm in a typical black soil region of Northeast China. Cloud‐free Landsat images from 1984 to 2023 were obtained via Google Earth Engine and bare soil images were synthesized in 10‐year intervals. The stud…
RS ‐ EnvRFE ‐ PGR
The Songnen Plain (SNP) and the Sanjiang Plain (SJP) are typical core black soil regions in northeastern China, where strong cross‐regional heterogeneity poses challenges for accurate soil organic matter (SOM) mapping. To address this issue, we compiled 493 soil samples from SNP and SJP and integrated multi‐temporal Landsat‐8 bare soil imagery (April–May, 2014–2022) with climatic and topographic covariates. A novel framework, termed remote sensin…
Land use policy impacts on effective farmland planting area
Statistical Modeling of Spatially Stratified Heterogeneous Data
Spatial statistics is an important methodology for geospatial data analysis. It has evolved to handle spatially autocorrelated data and spatially (locally) heterogeneous data, which aim to capture the first and second laws of geography, respectively. Examples of spatially stratified heterogeneity (SSH) include climatic zones and land-use types. Methods for such data are relatively underdeveloped compared to the first two properties. The presence …
Spatio-temporal variation in tuberculosis incidence and risk factors for the disease in a region of unbalanced socio-economic development
The findings explain spatio-temporal variation in TB incidence and risk determinants of elderly TB in the presence of disparities in social-economic development. High-risk zones were located mainly in rural areas, far from metropolitan centres. Medical conditions and the economic development level were significantly associated with elderly TB incidence, and these factors had a non-linear interactive effect on elderly TB incidence. The findings ca…
Spatial association between outdoor air pollution and lung cancer incidence in China
This study implies that the influence of SO 2 and PM2.5 on lung cancer should be focused on in north China, and in the south, the impact of O 3 and CO as well as their interaction with SO 2 need to be paid more attention. Smoking, particularly in men, remains a significant risk factor for lung cancer in both North and South China
Visualizing the largest annual human migration during the Spring Festival travel season in China
The large human migration between different areas in China indicates unequal urban and economic development under the background of rapid urbanization and rush for economic growth. Based on social networking big data, we analyzed the difference of population distribution during the Spring Festival holiday and the non-holiday periods. We find that the two patterns differ significantly and there are mainly two levels of population migration center
Statistical Modeling of Spatially Stratified Heterogeneous Data
Spatial statistics is an important methodology for geospatial data analysis. It has evolved to handle spatially autocorrelated data and spatially (locally) heterogeneous data, which aim to capture the first and second laws of geography, respectively. Examples of spatially stratified heterogeneity (SSH) include climatic zones and land-use types. Methods for such data are relatively underdeveloped compared to the first two properties. The presence …
Land use policy impacts on effective farmland planting area
Visualizing the largest annual human migration during the Spring Festival travel season in China
The large human migration between different areas in China indicates unequal urban and economic development under the background of rapid urbanization and rush for economic growth. Based on social networking big data, we analyzed the difference of population distribution during the Spring Festival holiday and the non-holiday periods. We find that the two patterns differ significantly and there are mainly two levels of population migration center
Spatial association between outdoor air pollution and lung cancer incidence in China
This study implies that the influence of SO 2 and PM2.5 on lung cancer should be focused on in north China, and in the south, the impact of O 3 and CO as well as their interaction with SO 2 need to be paid more attention. Smoking, particularly in men, remains a significant risk factor for lung cancer in both North and South China
Visualizing the largest annual human migration during the Spring Festival travel season in China
The large human migration between different areas in China indicates unequal urban and economic development under the background of rapid urbanization and rush for economic growth. Based on social networking big data, we analyzed the difference of population distribution during the Spring Festival holiday and the non-holiday periods. We find that the two patterns differ significantly and there are mainly two levels of population migration center
Spatio-temporal variation in tuberculosis incidence and risk factors for the disease in a region of unbalanced socio-economic development
The findings explain spatio-temporal variation in TB incidence and risk determinants of elderly TB in the presence of disparities in social-economic development. High-risk zones were located mainly in rural areas, far from metropolitan centres. Medical conditions and the economic development level were significantly associated with elderly TB incidence, and these factors had a non-linear interactive effect on elderly TB incidence. The findings ca…
Land use policy impacts on effective farmland planting area
Statistical Modeling of Spatially Stratified Heterogeneous Data
Spatial statistics is an important methodology for geospatial data analysis. It has evolved to handle spatially autocorrelated data and spatially (locally) heterogeneous data, which aim to capture the first and second laws of geography, respectively. Examples of spatially stratified heterogeneity (SSH) include climatic zones and land-use types. Methods for such data are relatively underdeveloped compared to the first two properties. The presence …
Effects of Farmland Scale on Soil Organic Matter Change in Black Soil Areas of China in the Past 40 Years
Differences in farmland scale led to variations in agricultural practices and management, which in turn influence the direction and rate of changes in soil organic matter (SOM). This study collected 574 topsoil samples (0–20 cm) from the Youyi Farm in a typical black soil region of Northeast China. Cloud‐free Landsat images from 1984 to 2023 were obtained via Google Earth Engine and bare soil images were synthesized in 10‐year intervals. The stud…
RS ‐ EnvRFE ‐ PGR
The Songnen Plain (SNP) and the Sanjiang Plain (SJP) are typical core black soil regions in northeastern China, where strong cross‐regional heterogeneity poses challenges for accurate soil organic matter (SOM) mapping. To address this issue, we compiled 493 soil samples from SNP and SJP and integrated multi‐temporal Landsat‐8 bare soil imagery (April–May, 2014–2022) with climatic and topographic covariates. A novel framework, termed remote sensin…
Geography (5 obras) · China (4 obras) · Agriculture (3 obras) · Demography (3 obras) · Population (3 obras) · Soil Geostatistics and Mapping (3 obras) · Agricultural land (2 obras) · Biostatistics (2 obras) · Demography (2 obras) · Economic growth (2 obras)