Rafael A Martinez‐Feria
Biographic Data
| ID | 7994952 |
|---|---|
| NAME | Rafael A Martinez‐Feria |
| GIVEN NAMES | Rafael A |
| FAMILY NAME | Martinez‐Feria |
| SIGNATURE | FERIA R A M |
| AFFILIATIONS | Michigan State University |
| ORCID | 0000-0002-4230-5684 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Boosting climate change mitigation potential of perennial lignocellulosic crops grown on marginal lands
Nitrogen fertilizer (N F ) is a major uncertainty surrounding the greenhouse gas (GHG) emissions of lignocellulosic biofuels. N F enhances agronomic yields and soil C inputs via plant litters, but results in soil organic carbon (SOC) decomposition, soil N 2 O fluxes, and a large fossil energy footprint. Thus, whether N F is beneficial or detrimental to the GHG mitigation of biofuels is unknown. Here, we show the potential GHG mitigation of fertil…
A comprehensive uncertainty quantification of large-scale process-based crop modeling frameworks
Regional and global impact assessment tools are increasingly used to explore and evaluate the impact of climate change and extreme events on crop yield and environmental externalities. However, the large uncertainties associated with the inputs or the parameters in crop models within these tools, limits their predictive ability, exceeding the spatiotemporal variability of observed yields. The objective of this study is to explore and quantify dif…
Can multi-strategy management stabilize nitrate leaching under increasing rainfall
The increased spring rainfall intensity and amounts observed recently in the US Midwest poses additional risk of nitrate (NO 3 ) leaching from cropland, and contamination of surface and subsurface freshwater bodies. Several individual strategies can reduce NO 3 loading to freshwater ecosystems (i.e. optimize N fertilizer applications, planting cover crops, retention of active cycling N), but the potential for synergistic interactions among N mana…
Maize yield and nitrate loss prediction with machine learning algorithms
Pre-growing season prediction of crop production outcomes such as grain yields and nitrogen (N) losses can provide insights to farmers and agronomists to make decisions. Simulation crop models can assist in scenario planning, but their use is limited because of data requirements and long runtimes. Thus, there is a need for more computationally expedient approaches to scale up predictions. We evaluated the potential of four machine learning (ML) a…
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Can multi-strategy management stabilize nitrate leaching under increasing rainfall
The increased spring rainfall intensity and amounts observed recently in the US Midwest poses additional risk of nitrate (NO 3 ) leaching from cropland, and contamination of surface and subsurface freshwater bodies. Several individual strategies can reduce NO 3 loading to freshwater ecosystems (i.e. optimize N fertilizer applications, planting cover crops, retention of active cycling N), but the potential for synergistic interactions among N mana…
Maize yield and nitrate loss prediction with machine learning algorithms
Pre-growing season prediction of crop production outcomes such as grain yields and nitrogen (N) losses can provide insights to farmers and agronomists to make decisions. Simulation crop models can assist in scenario planning, but their use is limited because of data requirements and long runtimes. Thus, there is a need for more computationally expedient approaches to scale up predictions. We evaluated the potential of four machine learning (ML) a…
A comprehensive uncertainty quantification of large-scale process-based crop modeling frameworks
Regional and global impact assessment tools are increasingly used to explore and evaluate the impact of climate change and extreme events on crop yield and environmental externalities. However, the large uncertainties associated with the inputs or the parameters in crop models within these tools, limits their predictive ability, exceeding the spatiotemporal variability of observed yields. The objective of this study is to explore and quantify dif…
Boosting climate change mitigation potential of perennial lignocellulosic crops grown on marginal lands
Nitrogen fertilizer (N F ) is a major uncertainty surrounding the greenhouse gas (GHG) emissions of lignocellulosic biofuels. N F enhances agronomic yields and soil C inputs via plant litters, but results in soil organic carbon (SOC) decomposition, soil N 2 O fluxes, and a large fossil energy footprint. Thus, whether N F is beneficial or detrimental to the GHG mitigation of biofuels is unknown. Here, we show the potential GHG mitigation of fertil…
Agronomy (3 works) · Climate change impacts on agriculture (3 works) · Environmental Science (3 works) · Algorithm (2 works) · Climate change (2 works) · Computer Science (2 works) · Ecology (2 works) · Soil Science (2 works) · Soil water (2 works) · Agricultural engineering (1 works)