Bleken, M.A., L.R. Bakken, L.E. Haugen, and P.K. Rørstad

Similar documents
SEASONAL VARIABILITY AND PERSISTENCE IN TEMPERATURE SCENARIOS FOR ICELAND

Chiang Rai Province CC Threat overview AAS1109 Mekong ARCC

Downscaled Climate Change Projection for the Department of Energy s Savannah River Site

176 5 t h Fl oo r. 337 P o ly me r Ma te ri al s

Faisal S. Syed, Shahbaz M.,Nadia R.,Siraj I. K., M. Adnan Abid, M. Ashfaq, F. Giorgi, J. Pal, X. Bi

Changing Hydrology under a Changing Climate for a Coastal Plain Watershed

Operational Practices in South African Weather Service (SAWS)

MDA WEATHER SERVICES AG WEATHER OUTLOOK. Kyle Tapley-Senior Agricultural Meteorologist May 22, 2014 Chicago, IL

BIOL 695 NITROGEN. Chapter 7 MENGEL et al, 5th Ed NITROGEN CYCLE. Leaching

Supplementary Material: Characterizing Changes in Drought Risk for the United States from Climate Change [1] October 12, 2010

Supplementary Figures

An Initial Estimate of the Uncertainty in UK Predicted Climate Change Resulting from RCM Formulation

PROPOSED SITE PLAN SCALE 1/32"=1'-0"

[1] Emissions of CO 2 and other GHGs are increasing

Effect of El Niño Southern Oscillation (ENSO) on the number of leaching rain events in Florida and implications on nutrient management

Changes in phytoplankton and zooplankton production in the Nordic and the Arctic Seas under a warmer climatic regime.

Climate Downscaling 201

Nutrient Cycling in Land Vegetation and Soils

Communicating Climate Change Consequences for Land Use

On downscaling methodologies for seasonal forecast applications

CLIMATE CHANGE IMPACTS ON HYDROMETEOROLOGICAL VARIABLES AT LAKE KARLA WATERSHED

September 2018 Weather Summary West Central Research and Outreach Center Morris, MN

The role of soil moisture in influencing climate and terrestrial ecosystem processes

Seasonal and Spatial Patterns of Rainfall Trends on the Canadian Prairie

Projected changes in rainfall and temperature over Greater Horn of Africa (GHA) in different scenarios. In Support of:

HIGLEY UNIFIED SCHOOL DISTRICT INSTRUCTIONAL ALIGNMENT. Earth and Space Science Quarter 1. Earth and Space Science (Duration 1 Week)

Corn Basis Information By Tennessee Crop Reporting District

November 2018 Weather Summary West Central Research and Outreach Center Morris, MN

Minimum%Wage%Rate,%2004%to%2021:%$/hour%

a) Name the features marked P,Q, and R b) Differentiate between a normal faulty and a reverse fault. 2. Use the diagram below to answer question (a)

Philosophy, Development, Application, and Communication of Future Climate Scenarios for the Pileus Project

Paul C. Stoy, Tobias Gerken, Gabe Bromley, Mallory Morgan, Liza Vick. Montana State University

Weather and climate outlooks for crop estimates

T h e C S E T I P r o j e c t

The Analysis of Uncertainty of Climate Change by Means of SDSM Model Case Study: Kermanshah

Climate and Regional Sustainability

Trend and Variability Analysis and Forecasting of Wind-Speed in Bangladesh

Future Climate Projection in Mainland Southeast Asia: Climate change scenario for 21 st century. Suppakorn Chinvanno

Evolving 2014 Weather Patterns. Leon F. Osborne Chester Fritz Distinguished Professor of Atmospheric Sciences University of North Dakota

Projected Impacts of Climate Change in Southern California and the Western U.S.

Nutrient Recommendations for Russet Burbank Potatoes in Southern Alberta

General: Actual barley prices FOB DK/SE. Crop EUR/t 1 H May Crop EUR/t 1 H Oct Crop EUR/t 1 H Oct 2017

EXPERT MEETING TO ASSESS PROGRESS MADE IN THE PROCESS TO FORMULATE AND IMPLEMENT ANATIONAL ADAPTATION PANS (NAPs)

Climate also has a large influence on how local ecosystems have evolved and how we interact with them.

E XTREME D ROUGHT An oppressive, long-term

Mycorrhizal Fungi. Symbiotic relationship with plants -- form sheath around fine roots and extend hyphae into soil and sometimes into root cells

Seasonal Climate Watch April to August 2018

National Cheng Kung University, Taiwan. downscaling. Speaker: Pao-Shan Yu Co-authors: Dr Shien-Tsung Chen & Mr. Chin-yYuan Lin

Adapt-N: A Cloud Computational Tool for Precision Nitrogen Management. AFRI Project Overview. Harold van Es

9/9/ May 2013 JRC CROP YIELD FORECASTING IN SEE Skopje (Macedonia) May 2013 JRC CROP YIELD FORECASTING IN SEE Skopje (Macedonia)

Arctic Adaptation Research Considerations and Challenges

/ / MET Day 000 NC1^ INRTL MNVR I E E PRE SLEEP K PRE SLEEP R E

Climate Change: bridging scientific knowledge and public policy. Forum Parliament House, Canberra 18 March 2010

Future extreme precipitation events in the Southwestern US: climate change and natural modes of variability

The Colorado Drought of 2002 in Perspective

Climate and Adaptations at the Fullerton Arboretum

Drew Behnke Food and Agriculture Organization of the United Nations UC Berkeley and UC Santa Barbara

Drought in Southeast Colorado

YACT (Yet Another Climate Tool)? The SPI Explorer

Assessment of the reliability of climate predictions based on comparisons with historical time series

Will a warmer world change Queensland s rainfall?

Incorporating Effects of Forest Litter in a Snow Process Model

Three main areas of work:

Table of C on t en t s Global Campus 21 in N umbe r s R e g ional Capac it y D e v e lopme nt in E-L e ar ning Structure a n d C o m p o n en ts R ea

Climate Modeling Research & Applications in Wales. John Houghton. C 3 W conference, Aberystwyth

Linking Climate Prediction to Agricultural Models

A L A BA M A L A W R E V IE W

Soil erosion and sediment delivery through buffer zones in Danish slope units

Impact on Agriculture

technological change and economic growth more fragmented; slower, higher population growth middle emissions path

Climate Change Impact Assessment on Indian Water Resources. Ashvin Gosain, Sandhya Rao, Debajit Basu Ray

2015 Summer Readiness. Bulk Power Operations

Potential Impacts of Climate Change on Soil Erosion Vulnerability Across the Conterminous U.S.

ph and Liming Practices Kent Martin Stafford County 1/5/2010

Success Criteria Life on Earth - National 5

Climate Change & Alpine Plants:

Enabling Climate Information Services for Europe

Climate Change and the Chehalis River. Guillaume Mauger, Se-Yeun Lee, Christina Bandaragoda, Yolande Serra, and Jason Won September 21, 2016

Climate Change in the Northeast: Past, Present, and Future

A Study of the Uncertainty in Future Caribbean Climate Using the PRECIS Regional Climate Model

Nutrient Cycling in Land Vegetation and Soils

Downscaling of future rainfall extreme events: a weather generator based approach

Northwest Outlook September 2017

2010 Crop Year Fertilizer Report

Climate Change Models: The Cyprus Case

Direction and range of change expected in the future

Global Climate Change and the Implications for Oklahoma. Gary McManus Associate State Climatologist Oklahoma Climatological Survey

1. INTRODUCTION 2. HIGHLIGHTS

Prairie Climate Centre Prairie Climate Atlas. Visualizing Climate Change Projections for the Canadian Prairie Provinces

控释氮肥配施尿素对土壤无机氮 微生物及水稻生长的影响

Future pattern of Asian drought under global warming scenario

Environmental changes

2012 Crop Year Fertilizer Report

FUTURE CARIBBEAN CLIMATES FROM STATISTICAL AND DYNAMICAL DOWNSCALING

Grenada. General Climate. Recent Climate Trends. UNDP Climate Change Country Profiles. Temperature. Precipitation

Biostimulants to enhance Nutrient Use Efficiency in Crop Plants

Stochastic weather generators and modelling climate change. Mikhail A. Semenov Rothamsted Research, UK

APPENDIX M LAKE ELEVATION AND FLOW RELEASES SENSITIVITY ANALYSIS RESULTS

U.S. Outlook For October and Winter Thursday, September 19, 2013

Nutrient and Carbon Sequestration by Salt Marsh Plants in the Face of Eutrophication and Sea Level Rise

Transcription:

Scenarios of future cereal production, ecological and economical consequences evaluated by simulation models using downscaled GCM scenarios for two regions in Norway Bleken, M.A., L.R. Bakken, L.E. Haugen, and P.K. Rørstad Norwegian University of Life Sciences (UMB), Department of Plant and Environmental Sciences marina.bleken@umb.no 111

Warmer climate better opportunity for cereal production? How to exploit this opportunity? Possible consequences for the environment N dissipation C sequestration

The climate scenarios Downscaled by RegClim Temperature, C 1 Precipitation (mm) Hadley A, 71-1, Max Planck* -9, 77 Oslo 191-9, 7-1 1 3 7 8 Month 9 1 11 1 3 climate 77 *ECHAM /OPYC3

The model(s) COUP Model - Physically based 1D heat & water balance in soil (Jansson & Karlberg, 1) L.E. Haugen William of Ockham SPN (Soil-Plant Nitrogen) Franciscan monk (18-137) razor: Denitrification NOckhams litter 1 simplify models C litter 1 as far as possible kb k1 Bladareal Fra lys- til kjemisk energi => potensiell tilvekst Tørkestressfaktor NH Nit NO3 N-faktor Microbial C kh fh TS-tilvekst N-opptak Leaching Humus C TS- og N-fordeling, rot, skudd (korn, stubb) SOILN_NO

Validation exercise: Use laboratory based parameters and initial values to simulate plant N uptake. Compare with measurements: Fertilizer level 1 g N/m D M T O P S.re s 1 1 1 1 N T O P N SH. r e, s - N O, - 3 1 1 1 M a yd M JSu Tn O R J Su l. r e s A u g 1 1 1 Fertilizer level g N/m N H, - MA pa r y NMSJauTy no R JuJSnu. lr e sj ua l u g A u Sg e p S e p.. M ay NJ Ou n3, J -u l A ug N O, - M a y N3 JH uun M SJ u. rl e s A u g 1 D M T O P S.re s M a y L JAu I ng S J. ru el s A ug 1. M a yd M JSu Tn O R J us l. r e s A u g M ay Jun Jul A ug N H, - s A p r N TMO ap y SN.JMr ue nic S J.ur el s A u g S e p 1 3 A p r 8M a y F N JMu no K JSu.l r e s A u g S e p 1 1.9 1.8 A p r A p Mr Aa ypm rna SyJ MuT noanjyrhu n JS, Ju.ulr enj -su la uj ugal u gs Ae upsg e p S e p. M ay Jun Jul A ug M a y L JAu IGn S J. ru el s A ug 1 A p r. 7 M a y NJ Ou n, J -u l A u g S e p M ay 3 Jun Jul A ug. 3 17 1 A p r A p Mr a ymf anyjmu nno JMKu nicjsu.lsr ej.usr ela s u ga u gs e ps e p 1 17 1.9 M a y N HJ uun M SJ u. rl e s A u g

Observed Ås Observed Oslo Grain yield, g/m 8 Nitrate leaching, g N m- Downscaling: simulated versus observed scenario 3 Simulated, th May, present genotype 1 1 Nitrogen fertilization 3 7 18 s11_obsaas_eb_1 s37_conoslo_eb_1 s_obsoslo_eb_1 1 18 Nitrogen fertilization, g N m-

Late genotype S. 1th April, Grain yield, g/m Hadley A (71-1): present management, "late" genotype + early sowing date Late genotype S. th May, 3 Control, th May, present genotype Present genotype S. th May 1 1 Nitrogen fertilization 18 Hadley edicts increased drought, which is not alleviated by early sowing 7 Scenario name s37_conoslo_eb_1 s_haoslo_lb_1 s_haoslo_eb_1 s_haoslo_lb_1

Max Planck ECHAM /OPYC3 (-9), present or late genotype, - - - days earlier sowing Late genotype Max Planck predicts drought similar to present => opportunity for increased yield 7 Grain yield, g/m - - - days earliercontrol, th May, sowing present genotype 3 Present genotype 1 8 Scenario name 1 Nitrogen fertilization 18 s37_conoslo_eb_1 s39_mploslo_eb_1 s1_mploslo_lb_1 s38_mploslo_eb_1 s_mploslo_lb_1

Max Planck predicts drought similar to present => opportunity for increased yield Late genotype N leaching depends on the 8 ability to maintain yield 7 Grain yield, g/m 3 Present genotype 1 Nitrate leaching, g N m- Max Planck ECHAM /OPYC3 (-9), present or late genotype, - - - days earlier sowing 7 3 1 9 Scenario name 1 Nitrogen fertilization 18 s37_conoslo_eb_1 s39_mploslo_eb_1 s1_mploslo_lb_1 1 18 - Nitrogen fertilization, g N m s38_mploslo_eb_1 s_mploslo_lb_1

Hadley A MP Historical 1 31 1 9 17 1 Loss of soil humus C (g C m- year-1)

Conclusions I Max Planck scenario Opportunity for bigger yield and larger gross economical margin, combined with less loss of soil C, if later cv available, elastic sowing date Increased annual variability Hadley A scenario: Later cv and early sowing necessary to maintain present yield Increased annual variability Both scenarios: Improved/adapted management necessary to maintain soil humus (late cv, early sowing, catch crop ) with a fertilizer N /grain price =., N loss is very large and little affected by climate scenario (change in optimal fert. reflect changes in plant N-uptake) Scenario Control, present cv Max Planck, present cv Max Planck, late cv Hadley, present cv 11 Hadley, late cv Hadley, late cv early sowing Opt. fert., Mean yield, St.dev. g N m- g m- yield 1.1 39 1 1.3 1 1. 1 18 13.3 33 1 Relative mean gross margin 1..9 1.18. Relative st.dev. gross margin 1. 1. 1..97 13.9 17.9 1.17 1. 17.97 1.1 Loss of soil N loss carbon, (leaching + g C m- denitrific.) g N year-1 m- year-1 17 7. 31 8. 1 7. 9 8. 1 7.

Thank you This were some preliminary examples 1