R. C. Izaurralde
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View article: Enhanced ammonia volatilization prediction with EPIC: Model description and testing of different fertilizers
Enhanced ammonia volatilization prediction with EPIC: Model description and testing of different fertilizers Open
Biogeochemical models are promising cost-effective tools to evaluate ammonia (NH3) volatilization reduction strategies at large spatial scales provided they capture all the relevant processes that regulate universally the nitrogen (N) cycl…
View article: Optimizing Ammonia Volatilization Simulation in Agricultural Soils: Advancements of the EPIC Model
Optimizing Ammonia Volatilization Simulation in Agricultural Soils: Advancements of the EPIC Model Open
Agriculture is responsible for about 94% of UE ammonia (NH3) emissions, notably from livestock, manure management and soil fertilization. NH3 volatilization is a significant cause of reactive nitrogen (N) loss, leading to lower fertilizer …
View article: Substantial Differences in Crop Yield Sensitivities Between Models Call for Functionality‐Based Model Evaluation
Substantial Differences in Crop Yield Sensitivities Between Models Call for Functionality‐Based Model Evaluation Open
Crop models are often used to project future crop yield under climate and global change and typically show a broad range of outcomes. To understand differences in modeled responses, we analyzed modeled crop yield response types using impac…
View article: AgMIP-Wheat multi-model simulations on climate change impact and adaptation for global wheat
AgMIP-Wheat multi-model simulations on climate change impact and adaptation for global wheat Open
The climate change impact and adaptation simulations from the Agricultural Model Intercomparison and Improvement Project (AgMIP) for wheat provide a unique dataset of multi-model ensemble simulations for 60 representative global locations …
View article: Substantial differences in crop yield sensitivities between models call for functionality-based model evaluation
Substantial differences in crop yield sensitivities between models call for functionality-based model evaluation Open
Crop models are often used to project future crop yield under climate and global change and typically show a broad range of outcomes. To understand differences in modeled responses, we analysed modeled crop yield response types using impac…
View article: A comprehensive simulation of C-N-P cycles under different water table depths, fertilization regimes and soil tillage
A comprehensive simulation of C-N-P cycles under different water table depths, fertilization regimes and soil tillage Open
Mechanistic models have been recognized as cost-effective tools for impact assessment of agricultural managements and policy option analysis. However, models are often used to simulate limited dynamics (e.g., solely organic carbon or nitro…
View article: Deep SOC stock dynamics under contrasting management systems: Is the EPIC model ready for carbon farming implementation?
Deep SOC stock dynamics under contrasting management systems: Is the EPIC model ready for carbon farming implementation? Open
View article: Regional and model-specific response types in a global gridded crop model ensemble
Regional and model-specific response types in a global gridded crop model ensemble Open
<p>Crop models are often employed to project crop yields under changing conditions such as global warming and associated management change for adaptation. Multi-model ensembles are promoted to enhance the robustness of projections, b…
View article: Agricultural breadbaskets shift poleward given adaptive farmer behavior under climate change
Agricultural breadbaskets shift poleward given adaptive farmer behavior under climate change Open
Modern food production is spatially concentrated in global “breadbaskets.” A major unresolved question is whether these peak production regions will shift poleward as the climate warms, allowing some recovery of potential climate‐related l…
View article: Testing the EPIC Richards submodel for simulating soil water dynamics under different bottom boundary conditions
Testing the EPIC Richards submodel for simulating soil water dynamics under different bottom boundary conditions Open
Most biogeochemical models simulate water dynamics using the tipping bucket approach, which has been often found to be too simplistic to represent vadose zone dynamics adequately under shallow groundwater conditions. Recently, a solution t…
View article: Evaluation of climate change impacts and effectiveness of adaptation options on nitrate loss, microbial respiration, and soil organic carbon in the Southeastern USA
Evaluation of climate change impacts and effectiveness of adaptation options on nitrate loss, microbial respiration, and soil organic carbon in the Southeastern USA Open
Climate change presents an agricultural challenge in the Southeastern USA with implications for maintaining environmental quality. The objective of this study was to assess climate change impacts and adaptation practices (biochar and irrig…
View article: Improved hydrological modeling with APEX and EPIC: Model description, testing, and assessment of bioenergy producing landscape scenarios
Improved hydrological modeling with APEX and EPIC: Model description, testing, and assessment of bioenergy producing landscape scenarios Open
View article: Land-use conversions from managed grasslands to croplands in Uruguay increase medium-term net carbon emissions to the atmosphere
Land-use conversions from managed grasslands to croplands in Uruguay increase medium-term net carbon emissions to the atmosphere Open
Globally, significant land conversions of traditionally managed temperate grasslands to croplands were taking place. Among these is South-Central Uruguay where changes in recent decades have highly likely impacted plant productivity, soil …
View article: Modelling the effects of climate change, agricultural inputs, cropping diversity, and environment on soil nitrogen and phosphorus: A case study in Saskatchewan, Canada
Modelling the effects of climate change, agricultural inputs, cropping diversity, and environment on soil nitrogen and phosphorus: A case study in Saskatchewan, Canada Open
The relative impact of climate change, agricultural inputs, crop diversity, and environment on soil nitrate-N (NO3-N) and labile soil phosphorus (P) has seldom been assessed in the scientific literature. Furthermore crop management of plan…
View article: Strong regional influence of climatic forcing datasets on global crop model ensembles
Strong regional influence of climatic forcing datasets on global crop model ensembles Open
View article: Exploring uncertainties in global crop yield projections in a large ensemble of crop models and CMIP5 and CMIP6 climate scenarios
Exploring uncertainties in global crop yield projections in a large ensemble of crop models and CMIP5 and CMIP6 climate scenarios Open
Concerns over climate change are motivated in large part because of their impact on human society. Assessing the effect of that uncertainty on specific potential impacts is demanding, since it requires a systematic survey over both climate…
View article: The GGCMI Phase 2 emulators: global gridded crop model responses to changes in CO <sub>2</sub> , temperature, water, and nitrogen (version 1.0)
The GGCMI Phase 2 emulators: global gridded crop model responses to changes in CO <sub>2</sub> , temperature, water, and nitrogen (version 1.0) Open
Statistical emulation allows combining advantageous features of statistical and process-based crop models for understanding the effects of future climate changes on crop yields. We describe here the development of emulators for nine proces…
View article: Carbon-Negative Biofuel Production
Carbon-Negative Biofuel Production Open
Achievement of the 1.5 °C limit for global temperature increase relies on the large-scale deployment of carbon dioxide removal (CDR) technologies. In this article, we explore two CDR technologies: soil carbon sequestration (SCS), and carbo…
View article: Carbon-Negative\nBiofuel Production
Carbon-Negative\nBiofuel Production Open
Achievement of the 1.5 °C limit\nfor global temperature increase\nrelies on the large-scale deployment of carbon dioxide removal (CDR)\ntechnologies. In this article, we explore two CDR technologies: soil\ncarbon sequestration (SCS), and c…
View article: The GGCMI Phase 2 experiment: global gridded crop model simulations under uniform changes in CO <sub>2</sub> , temperature, water, and nitrogen levels (protocol version 1.0)
The GGCMI Phase 2 experiment: global gridded crop model simulations under uniform changes in CO <sub>2</sub> , temperature, water, and nitrogen levels (protocol version 1.0) Open
Concerns about food security under climate change motivate efforts to better understand future changes in crop yields. Process-based crop models, which represent plant physiological and soil processes, are necessary tools for this purpose …
View article: Calibration and validation of the EPIC model to predict glyphosate movement with different agronomic practices under shallow water table conditions
Calibration and validation of the EPIC model to predict glyphosate movement with different agronomic practices under shallow water table conditions Open
<p>Glyphosate (GLP) has been the most frequently used herbicide worldwide, including Europe. Due to its systemic, post-emergence, and non-selective characteristics, it offers optimal weed control without the need of mechanical treatm…
View article: The GGCMI phase II emulators: global gridded crop model responses to changes in CO <sub>2</sub> , temperature, water, and nitrogen (version 1.0)
The GGCMI phase II emulators: global gridded crop model responses to changes in CO <sub>2</sub> , temperature, water, and nitrogen (version 1.0) Open
Statistical emulation allows combining advantageous features of statistical and process-based crop models for understanding the effects of future climate changes on crop yields. We describe here the development of emulators for nine proces…
View article: Sustainable feedstock for bioethanol production: Impact of spatial resolution on the design of a sustainable biomass supply-chain
Sustainable feedstock for bioethanol production: Impact of spatial resolution on the design of a sustainable biomass supply-chain Open
View article: Supplementary material to "The GGCMI Phase II experiment: global gridded crop modelsimulations under uniform changes in CO <sub>2</sub> , temperature, water, andnitrogen levels (protocol version 1.0)"
Supplementary material to "The GGCMI Phase II experiment: global gridded crop modelsimulations under uniform changes in CO <sub>2</sub> , temperature, water, andnitrogen levels (protocol version 1.0)" Open
View article: The GGCMI Phase II experiment: global gridded crop modelsimulations under uniform changes in CO <sub>2</sub> , temperature, water, andnitrogen levels (protocol version 1.0)
The GGCMI Phase II experiment: global gridded crop modelsimulations under uniform changes in CO <sub>2</sub> , temperature, water, andnitrogen levels (protocol version 1.0) Open
Concerns about food security under climate change motivate efforts to better understand future changes in crop yields. Process-based crop models, which represent plant physiological and soil processes, are necessary tools for this purpose …
View article: Parameterization-induced uncertainties and impacts of crop management harmonization in a global gridded crop model ensemble
Parameterization-induced uncertainties and impacts of crop management harmonization in a global gridded crop model ensemble Open
Global gridded crop models (GGCMs) combine agronomic or plant growth models with gridded spatial input data to estimate spatially explicit crop yields and agricultural externalities at the global scale. Differences in GGCM outputs arise fr…
View article: Quantifying carbon for agricultural soil management: from the current status toward a global soil information system
Quantifying carbon for agricultural soil management: from the current status toward a global soil information system Open
The importance of building/maintaining soil carbon, for soil health and CO2 mitigation, is of increasing interest to a wide audience, including policymakers, NGOs and land managers. Integral to any approaches to promote carbon sequestering…
View article: The Global Gridded Crop Model Intercomparison phase 1 simulation dataset
The Global Gridded Crop Model Intercomparison phase 1 simulation dataset Open
View article: Integration in a depot‐based decentralized biorefinery system: Corn stover‐based cellulosic biofuel
Integration in a depot‐based decentralized biorefinery system: Corn stover‐based cellulosic biofuel Open
The current or “conventional” paradigm for producing process energy in a biorefinery processing cellulosic biomass is on‐site energy recovery through combustion of residual solids and biogas generated by the process. Excess electricity is …
View article: AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from EPIC-TAMU spring wheat simulations
AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from EPIC-TAMU spring wheat simulations Open
This data set contains output data from simulations with the model EPIC-TAMU for spring wheat as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase II output data set. Output variables included are: crop yield, above-g…