Xiaoli Ren
Biographic Data
| ID | 7995870 |
|---|---|
| NAME | Xiaoli Ren |
| GIVEN NAMES | Xiaoli |
| FAMILY NAME | Ren |
| SIGNATURE | REN X |
| AFFILIATIONS | Chinese Academy of Sciences |
| ORCID | 0000-0002-8665-5571 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Multi-component, multi-target actions of Wuzi Yanzong Pill in male infertility
Enhanced interannual variability of the terrestrial carbon sink in China under high emissions
Interannual variability (IAV) of terrestrial carbon uptake is a major contributor to the variation of atmospheric CO 2 . With the influence of the East Asian monsoon, future climate variability would significantly increase in China. However, how these future changes will modulate the IAV of China’s terrestrial carbon sinks remains unclear. Here, we analyzed the IAV of China’s terrestrial net ecosystem productivity (NEP IAV ) and investigated the …
Grain for Green Project dominates greening in afforested areas rather than that in grass revegetation areas of the Loess Plateau, China—using Deep Crossing LSTM Age network
Vegetation restoration in the Loess Plateau (LP) of China is driven by atmospheric environmental changes (climate change, rising CO 2 , and nitrogen deposition), land cover change (LCC) from ecological restoration projects (ERPs), and change in forest age. However, the dominant factors influencing vegetation restoration remain controversial. This study improved the Deep Crossing network by integrating bidirectional long short-term memory (Bi-LSTM…
Increased forest coverage will induce more carbon fixation in vegetation than in soil during 2015–2060 in China based on CMIP6
As components of terrestrial carbon sinks, vegetation and soil carbon pools are important for offsetting CO 2 emissions. However, differences in their carbon sequestration capacities and their responses to global change in the future are poorly understood. This study assessed the changes in vegetation and soil carbon and their ratios and drivers under the SSP126 scenario from 2015 to 2060, using Coupled Model Intercomparison Project phase 6 simul…
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…
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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…
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…
Increased forest coverage will induce more carbon fixation in vegetation than in soil during 2015–2060 in China based on CMIP6
As components of terrestrial carbon sinks, vegetation and soil carbon pools are important for offsetting CO 2 emissions. However, differences in their carbon sequestration capacities and their responses to global change in the future are poorly understood. This study assessed the changes in vegetation and soil carbon and their ratios and drivers under the SSP126 scenario from 2015 to 2060, using Coupled Model Intercomparison Project phase 6 simul…
Enhanced interannual variability of the terrestrial carbon sink in China under high emissions
Interannual variability (IAV) of terrestrial carbon uptake is a major contributor to the variation of atmospheric CO 2 . With the influence of the East Asian monsoon, future climate variability would significantly increase in China. However, how these future changes will modulate the IAV of China’s terrestrial carbon sinks remains unclear. Here, we analyzed the IAV of China’s terrestrial net ecosystem productivity (NEP IAV ) and investigated the …
Grain for Green Project dominates greening in afforested areas rather than that in grass revegetation areas of the Loess Plateau, China—using Deep Crossing LSTM Age network
Vegetation restoration in the Loess Plateau (LP) of China is driven by atmospheric environmental changes (climate change, rising CO 2 , and nitrogen deposition), land cover change (LCC) from ecological restoration projects (ERPs), and change in forest age. However, the dominant factors influencing vegetation restoration remain controversial. This study improved the Deep Crossing network by integrating bidirectional long short-term memory (Bi-LSTM…
Multi-component, multi-target actions of Wuzi Yanzong Pill in male infertility
Ecology (5 works) · Environmental Science (5 works) · Geology (5 works) · Carbon cycle (4 works) · Ecosystem (4 works) · Geography (4 works) · Atmospheric and Environmental Gas Dynamics (3 works) · Carbon sink (3 works) · Climate variability and models (3 works) · Climatology (3 works)