AGU 2017 Fall Meeting: Abstract Deadline

AGU FAll 2017
The American Geophysical Union (AGU) 2017 Fall Meeting is currently calling for abstracts. The final submission deadline is 2 August 2017 at 23:59 EDT. The Fall Meeting will be held in New Orleans, Louisiana from 11 December 2017 to 15 December 2017.

The AgMIP community encourages scientists to submit abstracts to this conference. A full list of sessions is available here.

While there are many exciting sessions taking place, several sessions that may be of particular interest to AgMIP community include:

Session Title Session Description
25796 Improving the Simulation of Climate Impacts on Agriculture: AgMIP and Related Research Agricultural models simulate the effects of climate on crop yields, farm income, and trade, making them important tools for examining food security. This session will focus on research at the interface of climate, agriculture, and economics, including results from the Agricultural Model Intercomparison and Improvement Project (AgMIP). Topics of particular interest include the creation of climate and socioeconomic scenarios for agricultural projections, statistical and process-based methods of evaluating food production, the sensitivity of crops to carbon dioxide, water, temperature, and nitrogen, interactions between agriculture and extreme events, seasonal crop monitoring and forecasting, the use of agricultural and economic models to explore climate change adaptation and mitigation strategies, and research that enables coordinated global and regional studies of climate impacts on agriculture for IPCC Assessment Reports and US National Climate Assessments.
23335Remote Sensing Applications for Water Resources Management, Including Droughts, Floods and Associated Water Cycle ExtremesWater resources management can benefit from applications of remote sensing and hydrologic models. These tools can be especially valuable during extreme events and in data-sparse regions. Observational assets include the GPM, SMAP, Terra, Aqua, Landsat, GRACE, and Sentinel satellites, and other satellite and airborne platforms. They can support the operational water resources management community in responding to climate change, increases in climate variability and the frequency of extreme events. This session will highlight advances in the use of satellite, airborne and ground-based sensor networks to: measure the quantity/quality of hydrologic resources in the U.S. and internationally; provide information to water managers to improve water resources management; and support risk-based decision making. Topics of interest include (1) extreme events such as floods and droughts; (2) water supply and snow water resource monitoring and forecasting; and (3) evapotranspiration, soil moisture, groundwater, and agricultural water management.
27016Toward Better Understanding of the Impacts of Climate Variability: From Ecosystem Processes to Agricultural Adaptation and DecisionClimate variability (CV) is a critical driver of year-to-year impacts on both managed and unmanaged ecosystems. To properly understand its ecological impacts, it’s necessary to quantify how ecosystems have historically responded to climate variability, and to characterize the uncertainty in projected impacts. In agricultural systems, assessing impacts of climate variability also requires understanding dynamics of farmer adaptation and decision-making. Here we seek new efforts to quantify both historical and future impacts of CV on unmanaged ecosystems and agriculture, the most extensive managed ecosystem: i) empirical/process-based methods for estimating CV impacts to ecosystems across multiple spatio-temporal scales; ii) identifying key sources of CV and methodological factors leading to uncertainty and their related impacts; iii) new CV forecasting methods at relevant scales for understanding ecosystem response; iv) translating forecasts into useful decision support for natural resource managers and farmers; v) attributing farmer responses to CV with respect to socioeconomic and ecological circumstances.
25450Applications of Geospatial Data and Remote Sensing for Food SecurityGlobal food security represents a major societal challenge for the coming decades. Growing human population, increased demand for water and energy, and a changing climate have contributed to expanded concerns centered on food supply, production, resiliency, and price volatility. Food security involves natural science, as well as social, economic, and political dimensions. Earth observations and Earth science data, models, and knowledge are essential to support the resilience of food systems, in areas such as estimation of crop intensities, agricultural productivity assessment, water planning, and crop yield modeling.
This session explores how geospatial data about the food system and Earth observation can be combined to transform food security. We invite submissions on: (i) the use of Earth observations for enhanced food security practices; (ii) effective approaches to enable sustained applications of Earth observations for food security; and (iii) impact assessment to quantify the benefits of Earth observations for food security
25993Sustained Scientific Assessment: Tools and Approaches to Help Inform Decision MakingAccess to authoritative, usable, relevant science is necessary for decision makers to successfully navigate the challenges of climate and global change. Assessments that synthesize and develop new findings from across scientific disciplines with relevance to regional/local conditions are essential to this decision-making process. This session will highlight recent progress in climate and global change assessment, as well as related tools and initiatives, at the international, national, tribal, and local levels. Presentations will explore different approaches to assessment, provide examples of capacity building and/or successful community engagement, and showcase new tools to assist in the assessment and decision support processes.
26072Multi-scale measurements and modeling of greenhouse gas (CO2, CH4 and N2O) emissions from livestock, grasslands and croplandsEmissions of greenhouse gases (CO2, CH4 and N2O) from livestock, grasslands and croplands are affected by multi-scale factors ranging from microbes in the soils to human management practices in agricultural and livestock production systems. Significant progress has been made in multi-scale measurements and modeling of GHG fluxes across the scales of microbe, plot (stationary soil chambers, automated soil chambers), and ecosystems/landscapes (eddy flux tower systems), as well as individual livestock. This session welcomes diverse presentations that report (1) multi-scale measurements of GHG emissions, (2) development of multi-scale models of GHG emissions, including the role of microbes in GHG dynamics, and (3) data-model integration and model simulations across the geographical scales from individual animals or plots, field, farm, landscape, watersheds, to nations and the globe.
26072 Global Rice Watch – Dynamics, drive factors and impacts of rice agriculture in the world Paddy rice croplands account for more than 12% of global cropland area and have changed remarkably due to growing population and changing diet, which substantially affect food security, water use, methane emission, climate change, biodiversity, and animal and human health. This session seeks presentations that (1) map and monitor spatial distribution and temporal dynamics of paddy rice areas through remote sensing, crowdsourcing and citizen science; (2) track and predict rice plant growth and grain yields, (3) investigate socio-economic, policy, technology and climate factors that drive those changes in the area, productivity, and yield of paddy rice agriculture; (4) assess the impacts of changes in paddy rice agriculture on carbon and water cycles, trace gas emissions (methane, N2O), climate, as well as animal and human health.