Teams

Research Methods

AgMIP Data Interoperability Group (AgDIG)

Development of a data interoperability system for use by AgMIP Regional Research Teams began in 2011 for the purpose of automating data provisioning for ensemble modeling activities. The AgMIP data interoperability system consists of the… Read More

Aggregation and Scaling

AgMIP research initiatives must overcome significant obstacles in scale dependence to link field-level crop models to regional and global economic models. AgMIP is developing and evaluating procedures to scale field-level outputs up to regional and country scales… Read More

Ag-GRID and GGCMI (global crop modeling)

Ag-GRID provides a central organizing hub for a new generation of gridded crop modeling activities within AgMIP. Ag-GRID leverages existing AgMIP strengths by bringing together AgMIP members from the climate-crop modeling, IT, economics… Read More

Calibration

In this project of the uncertainty theme, we aim to identify promising approaches to crop model calibration, apply them to multiple models using a common data set and evaluate them. We will also consider how… Read More

Coordinated Climate Crop Modeling Project (C3MP)

C3MP aims to mobilize international crop modelers for a coordinated investigation of climate vulnerability and climate change impacts on agriculture. C3MP aims to improve understanding of the impact of climate change on future agricultural production by… Read More

Coordinated Global and Regional Assessments (CGRA)

The Agricultural Model Intercomparison and Improvement Project (AgMIP) is organizing Coordinated Global and Regional Assessments (CGRA) of climate impacts on agriculture and food security. The CGRA utilizes the networks and findings of… Read More

Global Economics

Since 2012 the global economics (GlobEcon) team in AgMIP has conducted several systematic model intercomparisons, published joint papers and actively contributed to recent IPCC reports. Currently, 10 global economic modelling teams are actively involved in these activities… Read More

Low Input Farming Systems

The main objective of this activity is to improve the predictive capacity of crop models under climate change in low soil fertility/low input cropping systems of the (sub)tropics. The specific objectives are: 1. To collate available data for crop growth model intercomparison and improvement… Read More

Regional Economics

The Regional Economics Team’s goal is to establish a methodological and procedural foundation for the systematic comparison and improvement of regional land use, production and trade models used for analysis of climate change impact, as well as… Read More

Regional Integrated Assessments (RIAs)

The main goal of AgMIP’s regional integrated assessment (RIA) methodology is to provide scientifically rigorous information to support improved decision-making by various stakeholders, ranging from local to national and international non-governmental and governmental… Read More

Representative Agricultural Pathways (RAPs)

To enable a simulation framework with consistent climate, economics, and field-level assumptions across a range of scales, a cross-cutting activity is building on previous and current agricultural scenario development to create… Read More

Seasonal Agricultural Forecasting

The AgMIP Seasonal Forecasting Community focuses on awareness of ongoing efforts and operational products in pre-competitive space, community engagement that could establish best practices… Read More

AgMIP Machine Learning (AgML)

The AgMIP Machine Learning team is a new community that aims to launch AgMIP activities on the interface of artificial intelligence and agricultural modeling. A key focus is how machine learning can be used to help improve Ag modeling… Read More

Biophysical Modeling

Barley

AgMIP-barley aims to improve and apply crop models in climate change impact and adaptation assessments. In addition, it will look at how crop models can simulate barley quality since this is one of the most important aspect for barley… Read More

Bioenergy

Bioenergy-crop models will be incorporated into the AgMIP suite of assessment and MIP exercises through the development of new field-scale crop model improvement pilot projects and through inclusion in the Global Gridded Crop Model Intercomparison… Read More

Canola

The AgMIP-Canola Initiative was launched in 2015, with the goal to identify current canola growth models and reference datasets across the world for model evaluation, inter-comparison and improvement. The key objectives are to identify knowledge gaps, recommend… Read More

Fruits and Vegetables

Fruits and vegetables are well recognized as important components of a healthy, balanced diet. However, meeting increased demand for these nutritious foods will be challenging for domestic production regions in the United States. California is the leading… Read More

Maize

AgMIP-maize aims to improve and apply crop models in climate change impact and adaptation assessments by bringing together crop modelers, experimentalists, breeders, working with field measurements and future scenarios… Read More

Livestock and Grasslands

The aim of the livestock and grasslands group is to intercompare and further develop a range of models to be applied internationally, especially for climate change impact projections. The initial activities of the Livestock & Grasslands group were discussed during… Read More

Maize Evapotranspiration (Maize ET)

The study uses 29 models of the Maize group to intercompare model estimates of evapotranspiration in the US and is led by Bruce Kimball… Read More

Potato

Efforts by the AgMIP potato crop modeling intercomparison team led by Dr. David Fleisher, USDA-ARS, were recently published in Global Change Biology. The team explored the uncertainty among yield predictions from nine crop models using high quality… Read More

Rice

The AgMIP rice team aims to intercompare and improve rice crop models to simulate impacts, adaptation and mitigation measures under climate change. Four major pillars to identify problems in the current modeling… Read More

Soybean

The goal of the AgMIP-Soybean Team is to improve soybean model simulations and apply models to develop adaptation strategies that ensure global soybean production levels in the face of climate change and an increasing food demand… Read More

Sugarcane

Five sugarcane simulation models were included in the pilot study namely APSIM-Sugar, DSSAT-Canegro, DSSAT-Canegro 2D, Mosicas and QCane.  Ten datasets were supplied by collaborators in Australia, Brazil, Ecuador, Reunion Island, South Africa, USA and Zimbabwe…. Read More

Wheat

The goals of the AgMIP wheat pilot team are to compare and improve wheat models in order to simulate better the impact of climate change as well as to explore adaptation options for improving both agricultural sustainability and global food security… Read More

Cross-Cutting Topics 

CO2, Temperature, Water, and Nitrogen Studies

Efforts will focus on the development of baseline data sources for North America to link with crop-climate models, sensitivity evaluations of models to changes in CO2, temperature, and wate ... Read More

Impacts Explorer

A new platform to share research findings from regional research team research and to build trust with regional stakeholders was developed. The resulting AgMIP Impacts Explorer provides decision-makers with research findings in a more palatable format… Read More

Next-Generation Models and Tools

Agricultural system models provide predictive and assessment capability to a wide range of decision-makers in the private and public sectors. There has been extensive and beneficial research to improve agricultural models – but the fact remains…. Read More

Nutrition

Scientists have recognized for some time that climate change represents a major and growing threat to agricultural production systems. However, a new area of focus has recently emerged involving the complicated linkages between our changing environment, nutrition security… Read More

Ozone

The AgMIP ozone group initiated an activity to share information on the development of models capable of estimating the effect of ozone on crop growth and yield, and its interplay with other growth limiting factors. The activity brings together ozone-impact and crop-modelling… Read More

Pests and Diseases (PeDiMIP)

Changes in climate and extreme events could have significant effects on agricultural pest and disease distribution and magnitudes and on the distribution of host species. In response to the need to include modeling… Read More

Soils and Crop Rotation

Crop models have been extensively tested for yields, but their validation for soil water balance, and carbon and nitrogen cycling in agricultural systems has been limited. In this effort we will compare the results of different models… Read More

Stakeholder Engagement and Decision Support

The Guidelines for Engaging Stakeholders in Integrated Model Efforts provides guidelines for effective stakeholder engagement in integrated model assessment research projects. These valuable approaches for transforming scientic research from theory into action… Read More

Uncertainty

End-users, stakeholders, and the broader scientific community have made it clear that projected climate impacts are not helpful unless related uncertainties are described and assessed. For its assessment of future food security… Read More

Water Resources

Develop research that assesses the effects of climate change and variability on irrigated crops in the United States and throughout the world, as well as build collaborative opportunities to create a portfolio of research at the interface of water and agriculture… Read More