Zhongen Niu
Biographic Data
| ID | 7994007 |
|---|---|
| NAME | Zhongen Niu |
| GIVEN NAMES | Zhongen |
| FAMILY NAME | Niu |
| SIGNATURE | NIU Z |
| AFFILIATIONS | Ludong University |
| ORCID | 0000-0002-1743-875X |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Water consumption thresholds of sparse vegetation in desertification regions
Estimating the grassland aboveground biomass in the Three-River Headwater Region of China using machine learning and Bayesian model averaging
Spatially and temporally explicit information on the biomass in terrestrial ecosystems is essential to better understand the carbon cycle and achieve vegetation resource conservation. As a climate-sensitive critical ecological function area, accurate monitoring of the spatiotemporal variation in the grassland aboveground biomass (AGB) is important in the Three-River Headwater Region (TRHR) of China. In this study, based on field observation, remo…
Interannual variability of terrestrial net ecosystem productivity over China
China’s terrestrial ecosystems play an important role in the global carbon cycle. Regional contributions to the interannual variation (IAV) of China’s terrestrial carbon sink and the attributions to climate variations are not well understood. Here we have investigated how terrestrial ecosystems in the four climate zones with various climate variabilities contribute to the IAV in China’s terrestrial net ecosystem productivity (NEP) using modeled c…
Tracking the spatio-temporal change of cropping intensity in China during 2000–2015
Improvement in the efficiency of farmland utilization and multiple cropping systems are of prime importance for achieving food security in China. Therefore, spatially-explicit analysis detecting trends of cropping intensity are important preconditions for sustainable agricultural development. However, knowledge about the spatiotemporal dynamics of cropping intensity in China remains limited. In this study, we generated annual cropping intensity m…
No prominent works on this page.
Interannual variability of terrestrial net ecosystem productivity over China
China’s terrestrial ecosystems play an important role in the global carbon cycle. Regional contributions to the interannual variation (IAV) of China’s terrestrial carbon sink and the attributions to climate variations are not well understood. Here we have investigated how terrestrial ecosystems in the four climate zones with various climate variabilities contribute to the IAV in China’s terrestrial net ecosystem productivity (NEP) using modeled c…
Tracking the spatio-temporal change of cropping intensity in China during 2000–2015
Improvement in the efficiency of farmland utilization and multiple cropping systems are of prime importance for achieving food security in China. Therefore, spatially-explicit analysis detecting trends of cropping intensity are important preconditions for sustainable agricultural development. However, knowledge about the spatiotemporal dynamics of cropping intensity in China remains limited. In this study, we generated annual cropping intensity m…
Estimating the grassland aboveground biomass in the Three-River Headwater Region of China using machine learning and Bayesian model averaging
Spatially and temporally explicit information on the biomass in terrestrial ecosystems is essential to better understand the carbon cycle and achieve vegetation resource conservation. As a climate-sensitive critical ecological function area, accurate monitoring of the spatiotemporal variation in the grassland aboveground biomass (AGB) is important in the Three-River Headwater Region (TRHR) of China. In this study, based on field observation, remo…
Water consumption thresholds of sparse vegetation in desertification regions
Environmental Science (3 works) · Geography (3 works) · Carbon cycle (2 works) · Ecology (2 works) · Ecosystem (2 works) · Geology (2 works) · Land Use and Ecosystem Services (2 works) · Meteorology (2 works) · Physical geography (2 works) · Plant Water Relations and Carbon Dynamics (2 works)