Enli Wang
Biographic Data
| ID | 6314262 |
|---|---|
| NAME | Enli Wang |
| GIVEN NAMES | Enli |
| FAMILY NAME | Wang |
| SIGNATURE | WANG E |
| AFFILIATIONS | Commonwealth Scientific and Industrial Research Organisation |
| ORCID | 0000-0002-6653-5791 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 5 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2010 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
Optimal straw management co‐benefits crop yield and soil carbon sequestration of intensive farming systems
Straw retention has been widely recommended to sequester more soil organic carbon (SOC) in agricultural soils, while carbon sequestration may not respond linearly to additional carbon input amount. The response of SOC, greenhouse gas (GHG) emissions and economic income to different straw management methods in intensive wheat‐maize double cropping systems still need systematical study. An 8‐year field experiment was conducted in the Huang‐Huai‐Hai…
Evidence for increasing global wheat yield potential
Wheat is the most widely grown food crop, with 761 Mt produced globally in 2020. To meet the expected grain demand by mid-century, wheat breeding strategies must continue to improve upon yield-advancing physiological traits, regardless of climate change impacts. Here, the best performing doubled haploid (DH) crosses with an increased canopy photosynthesis from wheat field experiments in the literature were extrapolated to the global scale with a …
Estimating ecosystem maximum light use efficiency based on the water use efficiency principle
Light use efficiency (LUE) defines the vegetation efficiency of converting radiative energy into biochemical energy through photosynthesis. Estimating the maximum LUE ( ε _max ) is critical yet challenging for quantifying gross primary production (GPP) using LUE-based models. This study describes an analytical method for estimating ε _max based on water use efficiency (WUE) as determined by plant water use and carbon gain. Unlike other complex pa…
New approach for predicting nitrification and its fraction of N 2 O emissions in global terrestrial ecosystems
Nitrification is a major pathway of N 2 O production in aerobic soils. Measurements and model simulations of nitrification and associated N 2 O emission are challenging. Here we innovatively integrated data mining and machine learning to predict nitrification rate ( R nit ) and the fraction of nitrification as N 2 O emissions ( f N 2 O Nit ). Using our global database on R nit and f N 2 O Nit , we found that the machine-learning based stochastic …
Contrasting yield responses of winter and spring wheat to temperature rise in China
Wheat growth, development, and grain yield are affected by global climate warming. The general consensus is that global warming shortens the overall length of wheat growing period and reduces global wheat yield. Here, focusing on China, the largest wheat producer in the world, we show that warming increases wheat yield in most winter wheat growing regions in China. We collated data from field experiments under stress-free conditions and artificia…
How model and input uncertainty impact maize yield simulations in West Africa
Crop models are common tools for simulating crop yields and crop production in studies on food security and global change. Various uncertainties however exist, not only in the model design and model parameters, but also and maybe even more important in soil, climate and management input data. We analyze the performance of the point-scale crop model APSIM and the global scale crop model LPJmL with different climate and soil conditions under differ…
Mathematical modeling for improved greenhouse gas balances, agro‐ecosystems, and policy development
If the land sector is to make significant contributions to mitigating anthropogenic greenhouse gas (GHG) emissions in coming decades, it must do so while concurrently expanding production of food and fiber. In our view, mathematical modeling will be required to provide scientific guidance to meet this challenge. In order to be useful in GHG mitigation policy measures, models must simultaneously meet scientific, software engineering, and human cap…
Potential of woody biomass production for motivating widespread natural resource management under climate change
Potential of woody biomass production for motivating widespread natural resource management under climate change
Mathematical modeling for improved greenhouse gas balances, agro‐ecosystems, and policy development
If the land sector is to make significant contributions to mitigating anthropogenic greenhouse gas (GHG) emissions in coming decades, it must do so while concurrently expanding production of food and fiber. In our view, mathematical modeling will be required to provide scientific guidance to meet this challenge. In order to be useful in GHG mitigation policy measures, models must simultaneously meet scientific, software engineering, and human cap…
Potential of woody biomass production for motivating widespread natural resource management under climate change
Mathematical modeling for improved greenhouse gas balances, agro‐ecosystems, and policy development
If the land sector is to make significant contributions to mitigating anthropogenic greenhouse gas (GHG) emissions in coming decades, it must do so while concurrently expanding production of food and fiber. In our view, mathematical modeling will be required to provide scientific guidance to meet this challenge. In order to be useful in GHG mitigation policy measures, models must simultaneously meet scientific, software engineering, and human cap…
How model and input uncertainty impact maize yield simulations in West Africa
Crop models are common tools for simulating crop yields and crop production in studies on food security and global change. Various uncertainties however exist, not only in the model design and model parameters, but also and maybe even more important in soil, climate and management input data. We analyze the performance of the point-scale crop model APSIM and the global scale crop model LPJmL with different climate and soil conditions under differ…
Contrasting yield responses of winter and spring wheat to temperature rise in China
Wheat growth, development, and grain yield are affected by global climate warming. The general consensus is that global warming shortens the overall length of wheat growing period and reduces global wheat yield. Here, focusing on China, the largest wheat producer in the world, we show that warming increases wheat yield in most winter wheat growing regions in China. We collated data from field experiments under stress-free conditions and artificia…
Estimating ecosystem maximum light use efficiency based on the water use efficiency principle
Light use efficiency (LUE) defines the vegetation efficiency of converting radiative energy into biochemical energy through photosynthesis. Estimating the maximum LUE ( ε _max ) is critical yet challenging for quantifying gross primary production (GPP) using LUE-based models. This study describes an analytical method for estimating ε _max based on water use efficiency (WUE) as determined by plant water use and carbon gain. Unlike other complex pa…
New approach for predicting nitrification and its fraction of N 2 O emissions in global terrestrial ecosystems
Nitrification is a major pathway of N 2 O production in aerobic soils. Measurements and model simulations of nitrification and associated N 2 O emission are challenging. Here we innovatively integrated data mining and machine learning to predict nitrification rate ( R nit ) and the fraction of nitrification as N 2 O emissions ( f N 2 O Nit ). Using our global database on R nit and f N 2 O Nit , we found that the machine-learning based stochastic …
Evidence for increasing global wheat yield potential
Wheat is the most widely grown food crop, with 761 Mt produced globally in 2020. To meet the expected grain demand by mid-century, wheat breeding strategies must continue to improve upon yield-advancing physiological traits, regardless of climate change impacts. Here, the best performing doubled haploid (DH) crosses with an increased canopy photosynthesis from wheat field experiments in the literature were extrapolated to the global scale with a …
Optimal straw management co‐benefits crop yield and soil carbon sequestration of intensive farming systems
Straw retention has been widely recommended to sequester more soil organic carbon (SOC) in agricultural soils, while carbon sequestration may not respond linearly to additional carbon input amount. The response of SOC, greenhouse gas (GHG) emissions and economic income to different straw management methods in intensive wheat‐maize double cropping systems still need systematical study. An 8‐year field experiment was conducted in the Huang‐Huai‐Hai…
Environmental Science (7 works) · Ecology (6 works) · Agriculture (4 works) · Agronomy (4 works) · Biology (4 works) · Climate change (3 works) · Climate change impacts on agriculture (3 works) · Yield (engineering (3 works) · Agricultural engineering (2 works) · Agriculture Sustainability and Environmental Impact (2 works)