Continuous Stakeholder Feedback: Methodologies for Improving Adoption and User-friendliness of Climate Variability Forecasts Norman E. Breuer Victor E.

Slides:



Advertisements
Similar presentations
: A service of the Southeast Climate Consortium C. Fraisse, D. Zierden, and J. Paz Climate Prediction Application Science Workshop Chapel Hill, NC March.
Advertisements

Climate Services for Water Clients: User Needs and Data Availability Eileen Shea NOAA National Climatic Data Center AMS CCS & CCM Webinar September 16,
TP Organics – Technology Platform for organic food and farming | Management of agro-ecology for eco-functional intensive systems Cristina.
Understanding & Managing Agricultural Risk Caused by Climate Variability in the Southeast USA Keith T. Ingram.
Southeast Climate Consortium Extension Program C. W. Fraisse, J. Bellow, N. Breuer, V. Cabrera, J. W. Jones, K. Ingram, and G. Hoogenboom.
CURRENT STATUS AND FUTURE USES OF THE CLIMATE INFORMATION IN THE AGRICULTURAL SYSTEM OF CENTRAL ARGENTINA Marta G. VINOCUR, Andrea V. RIVAROLA and Roberto.
AgClimate Outlooks: Delivering climate-based information to stakeholders in agriculture Joel O. Paz, Clyde W. Fraisse, Norman E. Breuer, John G. Bellow.
Climate Data and Crop Modeling Joel Paz, Gerrit Hoogenboom, Axel Garcia y Garcia, Larry Guerra, Clyde Fraisse and James W. Jones The University of Georgia.
Growing Opportunities for Sustainable Small Farmers in Washington & Idaho TM.
MEAS Support for WLI Work Sandra L. Russo University of Florida WLI Annual Planning Meeting November 2014.
Climate Forecast Tools for Livestock Producers Norman Breuer and Kenny Broad (UM) Carla Roncoli and Todd Crane (UGA) Clyde Fraisse and Peter E. Hildebrand.
An application of Olympe in the Netherlands and new possibilities Co Daatselaar & Niels Tomson Agricultural Economics Research Institute LEI/ Agrocenter.
Climate Information and Agricultural Risk Management A Systemic Approach to Understanding Farmers’ Decision-Making T. A. Crane*, C. Roncoli*, N. E. Breuer+,
Climate Variability and Irrigation Water Use Joel O. Paz Extension Agrometeorologist Biological and Agricultural Engineering Department The University.
A Comprehensive Financial and Risk Management Solution for Beginning Farmers and Ranchers – A Farm Level Approach Dr. Lori Wilcox Peter Zimmel Karisha.
Nowlin Chair Crop Modeling Symposium November 10-11, 2000 Future Needs for Effective Model Applications James W. Jones  Users  Model Capabilities  Data.
Decision support system for risk reduction in agriculture Phase II: Soybean DSS for Eastern Paraguay and Rio Grande do Sul, Brazil IAI Small Grant Program.
RegIS2: Regional Climate Change Impact & Response Studies RegIS2: Regional Climate Change Impact & Response Studies
AgroClimate: Climate-based Decision Support for Southeast US Agriculture Heather Dinon*, Ryan Boyles, and Gail Wilkerson Carolinas and Virginia Climate.
Farming systems analysis in Africa RISING Bernard Vanlauwe - IITA Jeroen Groot - WUR Carl Timler - WUR Lotte Klapwijk – IITA/WUR 28 May 2013 Lilongwe,
NIDIS-Supported Efforts in the ACF River Basin Puneet Srivastava Associate Professor Department of Biosystems Engineering Auburn University Chris Martinez.
SECC Partners Florida State Univeristy – climate studies, coupled modeling, climate forecasts, forestry University of Florida – extension, crop modeling,
The TNA Process in Costa Rica Experiences and lessons learned Francisco Sancho Advisor TNA
Climate Variability and Forecasting in the Southeast U.S. David F. Zierden Center for Ocean-Atmospheric Prediction Studies The Florida State University.
2006 Palisade User ConferenceNovember 14 th, 2006 Inventory Optimization of Seasonal Products with.
When integrated models meet stakeholders and data (& vice-versa) WATER BASIN MODELS DATA STAKEHOLDERS POPULATION MODELLERS.
Types of Agriculture Grade 10: Food from the Land.
Copyright 2010, The World Bank Group. All Rights Reserved. Importance and Uses of Agricultural Statistics Section A 1.
Social and Interdisciplinary Environmental Science Team.
Pine Integrated Network: Education, Mitigation, and Adaptation Project A NIFA-Funded Climate Change CAP Google Earth The Pine Integrated Network: Education,
AgClimate: Web-based Climate Information & Decision Aid Tools Clyde W. Fraisse Climate Extension Specialist Agric. & Biol. Engineering – IFAS University.
Southeast Climate Consortium: Introduction and Background Upton Hatch Professor and Director Auburn University Environmental Institute Alabama Water Resources.
Mali Work Packages. Crop Fields Gardens Livestock People Trees Farm 1 Farm 2 Farm 3 Fallow Pasture/forest Market Water sources Policy Landscape/Watershed.
Vulnerability and Adaptation Methods and Tools. NATIONAL LOCAL INTEGRATED / DYNAMIC SECTORAL / STATIC GLOBAL GIS temporal Indicator analysis and ranking.
Assessing Impact of Land Use and Climate Changes on River Flow of Upper Citarum Watershed Rizaldi Boer Delon Martinus Ahmad Faqih Perdinan Bambang D. Dasanto.
INFLUENCES SHAPING EVALUATION The Farm Business Resilience Program Rebecca Heath John Noonan, Roy Murray-Prior Christine Storer, Melanie Strawbridge.
Overview of the SECC: Integration, Leveraging, C omplementarity Keith Ingram, University of Florida Presented to Review of SECC-RMA Partnership, Risk Reduction.
1 Southeast Climate Consortium Keith T. Ingram. 2 Mission The mission of the Southeast Climate Consortium is to use advances in climate sciences, including.
AgClimate: A Research Extension Partnership Clyde Fraisse University of Florida IFAS Extension.
Delivering PINEMAP Outcomes Tim Martin Gary Peter Tom Fox Martha Monroe PINEMAP Annual Meeting Atlanta, GA, May 16, 2012.
LINDA’S INTERVIEWSGAP ANALYSES Task 1: DEVELOP OBJECTIVE FUNCTIONS AND INTERFACE ELEMENTS IMPORTANT TO STAKEHOLDERS Drivers, Goals, Barriers Spatial habitat.
An assessment of Alabama, Florida, and Georgia water managers’ perceptions, needs, and capacity to integrate climate information into decision making December.
WLE Strategy Results Framework. Challenges that we have been tasked with CGIAR process to develop coherent IDOs Developing a coherent a logical frame.
SECC organization and rebid process Science and partnerships for adaptation and resilience to climate change and climate variability (Co PIs in Alphabetical.
Pine Integrated Network: Education, Mitigation, and Adaptation project (PINEMAP) is a Coordinated Agricultural Project funded by the USDA National Institute.
Conservation Agriculture as a Potential Pathway to Better Resource Management, Higher Productivity, and Improved Socio-Economic Conditions in the Andean.
1 Summary of Vulnerability Assessment & Farming System Change under the Second National Communication to the UNFCCC Ministry of Environment and Tourism.
SANREM CRSP Sustainable Agriculture and Natural Resource Management (SANREM) Collaborative Research Support Program (CRSP) Office of International Research,
How Breakthroughs in Information Systems Can Impact Local Decisions Bruce Babcock Center for Agricultural and Rural Development Iowa State University.
Climate Risk and Vulnerability Assessment
The Decision and Policy Analysis Program. Our vision We strongly believe in the power of information for making better decisions about agricultural and.
Integrating Climate Variability and Forecasts into Risk- Based Management Tools for Agricultural Production and Resource Conservation Jean L. Steiner Jurgen.
SECC Overview Senthold Asseng. NOAA 's Regional Integrated Sciences and Assessments ( RISA ) program “…supports research teams that help expand and build.
Overview of the SECC mission, strategy, and programs Keith Ingram Coordinator, Southeast Climate Consortium.
Where Have We Been? Where are We Going?. Grand Challenge Focus Area Strategic Plan Theme.
NAPA Experiences From the Kingdom of Bhutan NAPA Experiences From the Kingdom of Bhutan.
El Niño-Southern Oscillation Impact on Nitrogen Leaching in North Florida Dairy Forage Systems Victor E. Cabrera*, Peter E. Hildebrand, and James W. Jones.
Objective 1: To increase resilience of smallholder production systems Output -Integrated crop-livestock systems developed to improve productivity, profitability.
Phase 2 Research Questions Theme 1: Nutrition, food safety and value addition 1)Which combinations of technology packages can reduce household vulnerability.
Local Input – Shaping the Soil & Water Resources Conservation Act Appraisal National Association of Conservation Districts Annual Meeting Orlando, FL 2.
Ecological Risk Assessment (ERA) for California Fisheries
Determining the costs and revenues for dairy cattle
Santosh Poudel and S. N. Kulshreshtha Department of BPBE
Building Pastoralists’ Resilience: Strengthening Participation in Markets and Local Governance Institutions in West Pokot, Kenya Deborah Namayi Muricho,
Model Summary Fred Lauer
Lebanon National Activity
Science for impact? Know your audience.
Overview of the SECC mission, strategy, and programs
Development of a Farmer-Based Working Group Program for
Project Duration: 3 years
Presentation transcript:

Continuous Stakeholder Feedback: Methodologies for Improving Adoption and User-friendliness of Climate Variability Forecasts Norman E. Breuer Victor E. Cabrera Peter E. Hildebrand March 2004

The Southeast Climate Consortium A multidisciplinary, multi-institutional initiative among the UF, FSU, UM, AU, UG, and UAH for research, extension, education, and training related to climate- based management of agriculture and natural resources.

Working at the Interface Forest Reserve Small- scale Farmers Plantation s ClimateWater Agriculture People

The Southeast Climate Consortium Immediate Objective Development of a climate-based Decision Support System for farmers available via the Internet

The Southeast Climate Consortium Target Audience: The Cooperative Extension Service and through them, to all stakeholders in AL, FL & GA Funding: NOAA - Office of Global Programs and the Risk Management Agency of the U. S.D.A.

The SECC Decision Support System Problem with DSSs*: non adoption short-term use Due to: deterministic nature exaggerated expectations other * McCown, et al Agricultural Systems 74

The Southeast Climate Consortium Florida, Georgia, Alabama Agricultural Production 1.Peanuts 2.Tomato 3. Livestock 4. Potato Water 1.Quality 2.Quantity

Users Specific and Diverse needs End products Whole Farm Models Testing Prototype products Participatory Rural Appraisals Participatory Methodology Calibration and Validation Crop models Climate models Participatory Methodology Adapted from Bastidas 2001

Feedback Loops Time Adoption With constant interaction among research, extension and farmer, diffusion can “take off” sooner and continue longer Rogers 1995 modified by J. Ashby, pers. Comm. 2003

Participatory Rural Appraisal: Sondeo Multidisciplinary team Rapid appraisal Open ended interviews Preliminary insight

Participatory Modeling Understanding the farm system Preliminary modeling –LP, Dynamic, etc. Calibration with stakeholders Final modeling Validation with independent stakeholders

Working with Farmers

Beef Cattle in North Central Florida 38 Ranchers preliminary phase 12 Ranchers validation phase Hypothetical 400-acre ranch Management Options –Stocking rate –Ryegrass planting –Hay purchase Economic Output

Beef Cattle in North Central Florida Figure 4. Modeled herd size over 40 years of known climate effect.

Beef Cattle in North Central Florida Figure 3. Two-year economic output values for nine scenarios tested and probability of occurrence.

Dairy Farms in North Florida 21 farmers preliminary phase 6 focus groups 3 farmers expected validation phase Individual farms modeled: dynamic and LP Novel inclusions –Markov-Chain cow flow modeling –Environmental interaction (nitrate leaching) –Crop models Economic Output

Dairy Farms in North West Florida Prototype

Dairy Farms in North West Florida

Dairy Farms in North West Florida Optimization

Conclusions It is possible to develop models with stakeholder involvement With participation: - User friendliness - trustworthiness - better performance with less need for initial input data set Enhances probability of adoption and use of climate-based tools and products Will be added to tools section of SECC DSS