ISI-MIP agriculture simulations. 7 Global Gridded Crop Models: EPIC, GEPIC, IMAGE, LPJ-GUESS, LPJmL, pDSSAT, PEGASUS 4 first priority crops: wheat, maize,

Slides:

Advertisements

Similar presentations

Dr. Adriana-Cornelia Marica & Alexandru Daniel

Advertisements

Introduction to site-specific nutrient management (SSNM)

Agricultural modelling and assessments in a changing climate

Simulating Cropping Systems in the Guinea Savanna Zone of Northern Ghana with DSSAT-CENTURY J. B. Naab 1, Jawoo Koo 2, J.W. Jones 2, and K. J. Boote 2,

Univ. of Alberta Climate Change Impacts on Canadian Agriculture R.F. Grant Dept. of Renewable Resources, Univ. of Alberta, Edmonton,Alberta.

Priorities of Soil Management for Extreme Events and Drought Charles W. Rice University Distinguished Professor Soil Microbiology Department of Agronomy.

Crop Yield Appraisal and Forecasting - Decision Support under Uncertain Climates.

Topics for 9/6 Annual water balance and the Budyko curve

Optimizing Crop Management Practices with DSSAT. Our Goal With increasing population and climate change, the ability to maximize crop production is essential.

The Inter-Sectoral Impact Model Intercomparison Project (ISI-MIP) Coordination team: Katja Frieler, Veronika Huber, Franziska Piontek,

Implications of irrigation for climate change impacts in India Delphine Deryng (University of East Anglia) Gang Zhao & Stefan Siebert (University of Bonn)

Soybeans: An Alternative Energy Source By Jared Smith and Sabra Warren.

QbQb W2W2 T IPIP Redistribute W 0 W 1 and W 2 to Crop layers Q W1W1 ET 0, W 0, W 1, W 2 I T from 0, 1 & 2, I P A Coupled Hydrologic and Process-Based Crop.

Module X: Soil Moisture Relationships and Irrigation Lesson 1: Soil Moisture Relationships After completing this lesson, you have learned to answer 1.What.

Crop Yield Modeling through Spatial Simulation Model.

impacts on agriculture and water resources

Climate Change and Agriculture in the Great Lakes Region Potential Impacts of Climatic Variability and Change Jeffrey A. Andresen Dept. of Geography Michigan.

CGMS/WOFOST model principles

Rice-Wheat cropping system: Issues and Challenges Dr. Fahd Rasul (Outreach organizer, AgMIP) Assistant Professor, Agronomy, UAF.

Application of seasonal climate forecasts to predict regional scale crop yields in South Africa Trevor Lumsden and Roland Schulze School of Bioresources.

16.391, , ,40 Climatic Risks Zoning and Brazilian biofuels agriculture USDA Global Conference on Agricultural Biofuels: Research and Economics.

Making sure we can handle the extremes! Carolyn Olson, Ph.D. 90 th Annual Outlook Forum February 20-21, 2014.

Learning objective: To be able to explain the causes and characteristics of droughts Regional distribution of disasters by type [ ] Describe.

Impacts of (Possible) Climate Change in the Production of Sugar cane in Center-South Region of Brazil J.Zullo Jr, A.Koga-Vicente, V.R.Pereira Cepagri -

Flexibility of system to deliver water Level of control available to the irrigator e.g. ditch system on a fixed schedule vs. large capacity well supplying.

Vulnerability and Adaptation Assessments Hands-On Training Workshop Impact, Vulnerability and Adaptation Assessment for the Agriculture Sector – Part 2.

New Technologies to Facilitate the Planning Process to Manage Water Over-Exploitation Prof Wim Bastiaanssen & Dr. Peter Droogers.

CALIFORNIA’S WATER WAR: PART II Balancing Agricultural and Domestic Water Demands Sharon Liu Urban Planning M206A – Intro to GIS March 19, 2012.

EVAPOTRANSPIRATION.

Scaling up Crop Model Simulations to Districts for Use in Integrated Assessments: Case Study of Anantapur District in India K. J. Boote, Univ. of Florida.

FOOD A G R I C U L T U R E E N V I R O N N M E N T BIOKENAF – QLK5-CT final meeting ATHENS, February 2007.

Outlook and Market Update for 2012 Corn Short Course and Georgia Corn Growers Annual Meeting January 17, 2012 Dr. Nathan B. Smith Extension Economist.

Overview of Economic Methods to Simulate Land Competition Forestry and Agriculture Greenhouse Gas Modeling Forum National Conservation Training Center.

Agriculture and Water Resources Cynthia Rosenzweig and Max Campos AIACC Trieste Project Development Workshop

MODELING THE IMPACT OF IRRIGATION ON NUTRIENT EXPORT FROM AGRICULTURAL FIELDS IN THE SOUTHEASTERN UNITED STATES W. Lee Ellenburg Graduate Research Assistant.

Management of Global Climate Change in Indian Agriculture.

Water use in Irrigated Agriculture Ana Ramirez. Irrigated agriculture produces 40% of the food crops uses 70% of all water withdrawals (Huffaker 2003)

KRISHI KARMAN AWARDS MEETING OF THE SCREENING COMMITTEE Date: 14 th December’2013 Krishi Bhawan, New Delhi.

Climate impacts on UK wheat yields using regional model output

Presentation Title Capacity Building Programme on the Economics of Adaptation Supporting National/Sub-National Adaptation Planning and Action Adaptation.

Anik Bhaduri, Upali Amarasinghe, Tushaar Shah Future of Agriculture and Irrigation.

Global Change Impacts on Rice- Wheat Provision and the Environmental Consequences Peter Grace SKM - Australia Cooperative Research Centre for Greenhouse.

Principles of Agricultural Science – Plant 1. 2 Plants in Our World Unit 1 – Worlds of Opportunity Lesson 1.1 A World without Enough Plants Principles.

Possible adaptation decisions from investigating the impacts of future climate change on food and water supply in China Lin Erda, Xu Yinlong, Ju Hui and.

Research & Systematic Observations (IX) Vulnerability Assessment, Impacts and Adaptation Measures (VII) Research & Systematic Observations (IX) Vulnerability.

Global Climate Change in the Great Lakes: How will Agriculture in the Great Lakes Region be Affected? By: Mary Brunner.

GLOWA-Elbe II Statuskonferenz 14. Dez Potsdam Horst Gömann, FAL-LR Horst Gömann & Peter Kreins Institute of Rural Studies, Federal Agricultural Research.

Adapting to Increasing Variability.  Longer season cultivars  Supply irrigation water  Drain soil to reduce water logging  Larger planting equipment.

Climate Change and Agricultural: Trends and Bi-Directional Impacts Dennis Baldocchi Department of Environmental Science, Policy and Management University.

Effects of global warming on global water and food supply Nigel Arnell and Martin Parry Working Group II (Impacts and Adaptation) UN Intergovernmental.

The potential of historical simulations Katja Frieler.

Global Irrigation Water Demand: Variability and Uncertainties Arising from Agricultural and Climate Data Sets Dominik Wisser 1, Steve Frolking 1, Ellen.

CROP GROWTH SIMULATION MODELS Prof. Samiha Ouda SWERI (ARC)

Anomalies of global air temperature during the last Millennium, relative to the period

ADVANCES IN THE SUSTAINABLE MANAGEMENT OF THE YAQUI RIVER RESERVOIRS SYSTEM OCTOBER 20, 2003.

Factors to consider •Level of control available to the irrigator •Flexibility of system to deliver water •Level of control available to the irrigator.

Tools for Practical Irrigation Scheduling

Crop water productivity modeling: Demand and impact at a field level

Coupled crop-climate modelling

Global Water Resource Assessment Project -Validation of Global EPIC-

An Agriculture Perspective

Optimizing Crop yield Using ET Maps and in GIS in Delta,UT

Integrated Agricultural, Migration, and Social Protection Strategies to Reduce Vulnerability to Climate Change in East Africa Bradford Mills Genti Kostandini.

Introduction Maize, tomatoes and kales are important food security crops grown by majority of small holder farmers in Kenya. However, their production.

Background and Objectives

Biogeochemical Causes and Consequences of Land Use Change

María I. Travasso (INTA)

Crop Growth Model Simulation of G2F Common Hybrids

Agricultural resources and limitations

Emulators of Irrigated Crop Yields Provide an Efficient Approach for Understanding Multisectoral Water-Energy-Land Dynamics Objective: Develop statistical.

Presentation transcript:

ISI-MIP agriculture simulations

7 Global Gridded Crop Models: EPIC, GEPIC, IMAGE, LPJ-GUESS, LPJmL, pDSSAT, PEGASUS 4 first priority crops: wheat, maize, rice, soy (LPJmL and EPIC also provide simulations for additional crops)

Minimal scenario set-up

Ouput variables VariableVariable nameresolutionunitcomment Crop yieldsYield_ annual (0.5°x0.5°) dry matter t/ha/yr (t ha‐1 yr‐1) Crop‐specific Irrigation water demand (potential irrigation water Withdrawal) PIrrWW_ annual (0.5°x0.5°) kg/m2/s (kg m‐2 s‐1) Irrigation water needed for an optimal irrigation (in addition to rainfall), assuming unlimited water supply, the irrigation water amount should be averaged over the whole year Additional variables: actual evapotranspiration, fertilizer application rates, growing season dates

Management settings Modellers were asked to provide simulations based on their „default present day“ setting which may be very different. modelFertilizer useAdaptation starting conditions (representation of present day yields or potential yields?) EPIC Environmental Policy Integrated Climate flexible N application rates (N-stress free days in 90% of crop growing period to an upper application limit of 200 kg ha-1) Constant P application rates. annual adjustment of planting dates; total heat units to reach maturity remain constant no adjustment of cultivars present day potential yields LPJmLSoil nutrient limiting factors are not accounted for Fixed sowing dates, total heat units to reach maturity remain constant present day yields (10)

Results