La Niña. Early warning early action analysis for a potential La Niña in 2016 2017

Similar documents
El Niño-Southern Oscillation (ENSO): Review of possible impact on agricultural production in 2014/15 following the increased probability of occurrence

The El Niño event: expected impact on food security and main response scenarios in East and Southern Africa

GLOBAL INFORMATION AND EARLY WARNING SYSTEM ON FOOD AND AGRICULTURE (GIEWS)

Drought related food insecurity: A focus on the Horn of Africa

IGAD CLIMATE PREDICTION AND APPLICATION CENTRE

Research Commodities El Niño returns grains and soft commodities at risk

Climate Change Impacts in the Asia/Pacific Region

How To Use An Emergency Weather Station

MALAWI Food Security Outlook July to December High prices, declining incomes, and poor winter production cause Crisis food insecurity

El Niño. Early action and response for agriculture, food security and nutrition. Report. WORKING DRAFT (30 October 2015)

The IPCC Special Report on Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation

Coffee prices fall but Brazilian production estimated lower

Global. losses. waste

Market Monitor Number 3 November 2012

How To Manage A Flood In Mozambique

Southern Africa The Rainfall Season

MOZAMBIQUE Food Security Outlook October 2008 to March 2009

CSCAP MEMORANDUM No. 15 The Security Implications of Climate Change

CLIMATE, WATER & LIVING PATTERNS THINGS

SOUTHERN AFRICA - DROUGHT

sample The IPCC Special Report on Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation

Current capabilities in the analysis of climate risks and adaptation strategies in critical areas

El Niño. Early action and response for agriculture, food security and nutrition. Report. WORKING DRAFT (12 November 2015)

ENSO Cycle: Recent Evolution, Current Status and Predictions. Update prepared by Climate Prediction Center / NCEP 9 May 2011

DONOR REPORT WATER PROJECTS 2015

DRYLAND SYSTEMS Science for better food security and livelihoods in the dry areas

It s not over. El Niño s impact on children. El Niño s impact on children. Briefing Note. UNICEF Briefing Note A WAKE-UP CALL 3 JULY 2016

EASYPol Module 148. DrumNet An Enterprising Third Party Transaction Manager

Milk and milk products market summary

The Need for International Weather Data and Related Products at the U.S. Department of Agriculture. Presented to. CoCoRaHS

Speaker Summary Note

Islamic Relief Worldwide

National Drought Management Authority Tana River County Drought Early Warning Bulletin For June 2015

Chapter 18 Introduction to. A f r i c a

Queensland rainfall past, present and future

Humidtropics Kiboga/Kyankwanzi Soybean production training

OFFICE OF THE PRESIDENT SPECIAL PROGRAMMES ARID LANDS RESOURCE MANAGEMENT PROJECT II

WEATHER INSURANCE DERIVATIVES TO PROTECT RURAL LIVELIHOODS

Climate Change Impacts on Agriculture in Vietnam

ETHIOPIA EL NINO EMERGENCY

Integrated Regional Early Warning Bulletin GHACOF 43. June to September 2016 rainfall season

EFFECTS OF CLIMATE CHANGE ON PACIFIC ISLANDS by Imogen P. Ingram

Food Security Monitoring November January 2010

List 10 different words to describe the weather in the box, below.

Climate Information and Development: Regional Climate Outlook Forums in Africa

MONTHLY COFFEE MARKET REPORT

Investment in agricultural mechanization in Africa

Introducing the farm business school

The atmosphere has a number of gases, often in tiny amounts, which trap the heat given out by the Earth.

Stage 4. Geography. Blackline Masters. By Karen Devine

Pasture, Rangeland, and Forage Insurance: A Risk Management Tool for Hay and Livestock Producers

ASEAN INTEGRATED FOOD SECURITY (AIFS) FRAMEWORK AND STRATEGIC PLAN OF ACTION ON FOOD SECURITY IN THE ASEAN REGION (SPA-FS)

How To Predict Climate Change In Tonga

Climate Change and Sri Lanka. Ajith Silva Director/ Policy and Planning Ministry of Environment and Natural Resources Sri Lanka

Southern AER Atmospheric Education Resource

Famine Early Warning Systems Network SOUTHERN AFRICA FOOD SECURITY BRIEF FEBRUARY 2005

Market will worry about demand later Weekly Corn Review for May 11, 2016 By Bryce Knorr

SECTOR ASSESSMENT (SUMMARY): CLIMATE CHANGE. 1. Sector Performance, Problems, and Opportunities

Physiography, Geography and Climate of Latin America (Lecture 3)

El Niño Insurance & Low-Emission Climate-Resilient Development in Peru

Guatemala: Food Crisis

Domestic Policy Framework on Adaptation to Climate Change in Water Resources: Case Study for India. Working Together to Respond to Climate Change

Catchment and Lake Research

Climate Change Vulnerability Assessment Tools and Methods

7/10/2012 7:26 AM. Introduction

Weather, Climate and Water Services for the Least Developed Countries

Chapter 3 Communities, Biomes, and Ecosystems

PURECHIA 2013 PARTNERSHIP BROCHURE. Rich Source of Omega-3, Protein, Fiber & Antioxidants. Next Big Thing in Food.

FAO in Ethiopia El Niño Response Plan 2016

Rural developments in Latin America, Michiel Baud CEDLA

THE IMPACT OF NATURAL HAZARDS AND DISASTERS ON AGRICULTURE AND FOOD SECURITY AND NUTRITION A CALL FOR ACTION TO BUILD RESILIENT LIVELIHOODS

Oregon. Climate Change Adaptation Framework

New Era Marketing 2015

Storms Short Study Guide

AGREEMENT ON PORT STATE MEASURES TO PREVENT, DETER AND ELIMINATE ILLEGAL, UNREPORTED AND UNREGULATED FISHING

FACT SHEET. Production Risk

Geography affects climate.

Jessica Blunden, Ph.D., Scientist, ERT Inc., Climate Monitoring Branch, NOAA s National Climatic Data Center

Assets & Market Access (AMA) Innovation Lab. Tara Steinmetz, Assistant Director Feed the Future Innovation Labs Partners Meeting April 21, 2015

Transforming Agriculture in the Sahel. What Would It Take?

Climate Change risk and Agricultural Productivity in the Sahel

EL NIÑO AND HEALTH Global Overview - January 2016

ZAMBIA EMERGENCY HUMANITARIAN FOOD ASSISTANCE TO FLOOD VICTIMS

Third Quarter 2014 Earnings Conference Call. 13 August 2014

The 2015 African Horse Sickness season: Report

Water at a Glance The relationship between water, agriculture, food security and poverty

How To Prepare For An Emergency Food Security Crisis

Lesson Overview. Biodiversity. Lesson Overview. 6.3 Biodiversity

CLIMATE CHANGE VULNERABILITY ASSESSMENT OF CAPE VERDE

Climate Change in Mexico implications for the insurance and reinsurance market

Brazil February Production Update and Weekly Crop Condition Report

Coffee prices fall to 18-month low as supply concerns fade

2. The map below shows high-pressure and low-pressure weather systems in the United States.

3.2 Extent of food losses and waste

Climate Change. Lauma M. Jurkevics - DWR, Southern Region Senior Environmental Scientist

Enhancing Global Capacity for Pre-breeding: The GIPB Platform

SLOW ONSET EVENTS. climate change impacts on BIODIVERSITY

PUTTING FORAGES TOGETHER FOR YEAR ROUND GRAZING

LESSON PLAN UNIT: THE EARTH S CLIMATES SESSIONS: 6. Ana Fructuoso Sánchez. Social Sciences teacher. Bilingual group. 1º ESO. IES El Palmar. Murcia.

Transcription:

La Niña Early warning early action analysis for a potential La Niña in 2016 2017 1

La Niña Early warning early action analysis for a potential La Niña in 2016 2017 FOOD AND AGRICULTURE ORGANIZATION OF THE UNITED NATIONS ROME, 2016

The designations employed and the presentation of material in this information product do not imply the expression of any opinion whatsoever on the part of the Food and Agriculture Organization of the United Nations (FAO) concerning the legal or development status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. The mention of specific companies or products of manufacturers, whether or not these have been patented, does not imply that these have been endorsed or recommended by FAO in preference to others of a similar nature that are not mentioned. The views expressed in this information product are those of the author(s) and do not necessarily reflect the views or policies of FAO. FAO, 2016 FAO encourages the use, reproduction and dissemination of material in this information product. Except where otherwise indicated, material may be copied, downloaded and printed for private study, research and teaching purposes, or for use in non-commercial products or services, provided that appropriate acknowledgement of FAO as the source and copyright holder is given and that FAO s endorsement of users views, products or services is not implied in any way. All requests for translation and adaptation rights, and for resale and other commercial use rights should be made via www.fao.org/contact-us/licence-request or addressed to copyright@fao.org. FAO information products are available on the FAO website (www.fao.org/publications)

Global overview What is La Niña? La Niña is the cooling of sea surface temperatures in the tropical Pacific, which occurs roughly every three to five years, lasting from six to 24 months. The chances of La Niña following an El Niño episode are higher on average half of the El Niño events are followed by a La Niña and typically it affects global climate patterns in the opposite way El Niño does. The intensity of the La Niña climatic phenomenon generally peaks between October and January. Purpose of this report The aim of this report is to consolidate information on La Niña s potential impacts on agriculture and food security, specifically in the regions which are now dealing with the consequences of EL Niño, and to provide early action recommendations in the agriculture sector to either reap the beneficial outcomes of La Niña, or prevent, mitigate and prepare for its negative effects. What is the current forecast for La Niña? Current forecasts indicate that there is a 55 to 70 percent chance of a La Niña episode developing towards the end of 2016, with a slightly lower chance that the onset may occur as early as July. The timing of a La Niña onset is key to determine how its consequences will impact on agriculture. What are the main consequences of La Niña for agriculture and food security? A La Niña phenomena generally affects the same regions that are impacted by El Niño, with opposite climatic consequences. Areas which experienced dry conditions (below-average rainfall and/or increased temperature) during El Niño, for instance, tend to receive above-average rainfall and in some cases cooler temperatures. While the climatic phenomenon usually peaks in intensity between October and January, changes to climatic patterns and their related impacts on food security and agriculture can happen both before and after the peak. It s possible that La Niña could develop as early as July, in which case it might already start affecting the growing seasons in some parts of the world from September 2016. Consequences of La Niña on agriculture and food security can be both positive and negative. The positive effects derive from the increased likelihood of above average rainfall which could improve pasture and crop yields. At the same time, if the above-average rainfall results in flooding, then clearly the results may be negative as in this case there is an increased incidence of seeds being washed away, landslides, crops destroyed and livestock morbidity and mortality. Since La Niña would most likely impact regions that have already been affected by El Niño, the food security situation could further deteriorate and protract into 2018. In the event of a positive La Niña, it is important to highlight that the actual full effect of a above average rainfall will not be felt until the next harvest i.e. the end of 2016 (if La Niña comes early) or by mid-2017 (if La Niña occurs later). 1

Historical La Niña trends The Institute for Climate and Society at Colombia University has developed a typology of La Niña climatic impacts based on analysis of La Niña events over the years. The following map indicates the typical impacts of La Niña on the continent. 2

Timeline of impact graph The following diagram 1 illustrates a potential timeline of La Niña-induced impacts across different regions based on the usual pattern observed during La Niña years. It can help guide the appropriate timing for early action implementation. This consolidated information is subject to change as forecasts evolve and additional information becomes available. Timeline of poten al La Niña impacts across the globe Jul-16 Aug-16 Sep-16 Oct-16 Nov-16 Dec-16 Jan-17 Feb-17 Mar-17 La Niña probability forecast Con nents and regions AFRICA: Southern Africa AFRICA: East Africa Above-average rainfall Drier-than-average condi ons AFRICA: The Sahel (only in case of early onset) AMERICA: Central America, Caribbean and northern South America AMERICA: South America (southern Brazil and central Argen na) ASIA: South and Southeast Asia (Indonesia, Malaysia, Philippines, Papua New Guinea) Above-average rainfall and increase in cyclones Drier-than-average condi ons Above-average rainfall ASIA: Central Asia Drier-than-average condi ons 1 The graph focuses only on the general patterns of impact on specific regions which are further detailed below. The row on La Niña probability forecast is based on the official CPC-IRI consensusbased forecast. The dark blue indicates the level over 70 percent in the forecast for La Niña probability, not its strength. The graph stops at March 2017 as does the official forecast information, yet consequences of La Niña on agricultural seasons might endure further. It should be noted that the list of regions affected is not extenive and that early effects of La Niña are marked starting from September 2016, even though historically La Niña consequences could start earlier. This is due to the current status of the forecast and the potential timing of La Niña consequences, explained in the page above. 3

AFRICA: Southern Africa region Impact outlook Recommended early actions Month Farmers and pastoralists in the region Timeline need to of Poten al be supported La Niña in Impacts order to across be able the Globe to reap the potential benefits of La Niña. This should be done through a set of indicative early actions as indicated below. Above A Increased flood and cyclone risk In Southern Africa, La Niña is generally associated with increased probability of above-average rainfall from around November to April, which corresponds to the main cropping season for most countries in the region. Potential benefits Enhanced rainfall could speed up the regeneration of pasture land and lead to above-average crop production for the summer harvest. Positive effects of La Niña on crop production would only be able to alleviate Central America, Caribbean the current high levels of food insecurity from February 2017 onwards, Sahel Region (only in case of early onset) and northern Southern America when the main maize crop matures and is subsequently harvested. Southern America (Southern Brazil and Central Argen na) Potential negative effects If excessive, precipitation would increase the risk Malaysia, of localized Philippines, flooding PNG) which could wash away seeds, damage or destroy standing crops, increase Central Asia livestock morbidity and mortality and damage infrastructure. There is also an increased likelihood of cyclones forming in the Mozambique channel with associated potential landfall and flooding. Southe-East Asia (par cularly Indonesia, Interven ons Support recovery of smallholder farmers Protect and enhance livestock produc on Jul-16 Vaccina on Aug-16 Sep-16 Fer lizer and seed support CASH+ Oct-16 Rainy season Plan ng Nov-16 Livestock restocking Dec-16 Month Conversely, in order to prepare for the Timeline negative of Poten al consequences La Niña Impacts of localized across flooding, the following should be embedded into current response the Globe plans. Jul-16 Aug-16 Sep-16 Oct-16 Rainy season Plan ng Nov-16 Dec-16 Jan-17 Fe Above Average Jan-17 Above A Fe Sahel Region (only in case of early onset) Central America, Caribbean and northern Southern America Interven ons Flood/flash flood preparedness to protect livelihoods Check dam construc on Repair/support riverbanks Community seed stores Short-cycle crop varie es for post floods Above Average Southern America (Southern Brazil and Central Argen na) Southe-East Asia (par cularly Indonesia, Malaysia, Philippines, PNG) Central Asia 4

AFRICA: East Africa and the Sahel regions Impact outlook East Africa: increased likelihood of above- and belowaverage rainfall Localized areas of East Africa are mostly affected by drier-than-normal conditions during La Niña events, particularly from November to March. This would particularly occur in regions of Ethiopia, South Sudan, Somalia and Kenya. Localized flooding can also occur in East Africa, such as northern Ethiopia, central and northern Sudan. Potential benefits Above-average rainfall could bring relief to areas impacted by drought and enhance restoration of pasture and crop production. Potential negative effects: below-average rainfall Below-average rainfall or drought induced by La Niña in the latter half of this year would negatively affect the secondary agricultural season, crop harvested in February-March. Dry conditions could worsen body conditions and trigger increased livestock migration, expanding the spread of livestock diseases. Potential negative effects: above-average rainfall In some areas, above-average rainfall could increase the risk of localized flooding with associated damage to crops, livestock and infrastructure. Sahel: increased likelihood of above-average rainfall Potential benefits An early onset of La Niña would potentially benefit the end of the crop season for the Sahel region, since the phenomenon brings above-average rainfall from July to September. Potential negative effects Risk of localized flooding and its associated crop damage, livestock loss and displacement would also increase. Risk of increased Desert Locust infestations due to improved ecological conditions in the summer breeding areas of northern Sahel (July October). Early actions relevant for above-average rainfall conditions include: map out areas vulnerable to flooding and communicate land use risks; advise pastoralist herders about the risk of flooding in migratory routes (Pastoralist Knowledge Hub could be used); check dam construction; repair/support riverbanks; and support construction of community seed stores. Early actions relevant for drier-than-average conditions include: regular vaccination programs conducted before November/December, to prevent negative impacts (vaccinating drought-weakened animals); supplementary feeding for livestock to preserve livelihoods of highly vulnerable pastoralists; tracking and follow-up of situation of migratory routes and advice to pastoralists; support water supply for livestock and crops through rehabilitating or establishing new/temporary water points; and commercial destocking. 5

AMERICA: Central, South America and the Caribbean regions Impact outlook Central America, the Caribbean and northern South America La Niña in these areas is associated with localized above-average precipitation from June to March of the following year. Potential benefits An early onset of La Niña might benefit the primera season cereal crops currently being planted in areas of the Dry Corridor of Central America. In northern Brazil, La Niña might benefit planting and early development of food crops. Potential negative effects La Niña can have two main negative effects for the region: κbean κ production might be affected, if La Niña establishes itself in September when the harvest occurs. The primera season is not the main bean production season, but it is the season from which farmers obtain seeds for the following main postrera season (December to March). Excessive rainfall might impact the quality of seeds and result in important seed losses, given the sensitivity of beans to humidity. κthe κ Atlantic hurricane season (June November) increases in activity during the La Niña phenomenon. For instance, the extensive damage inflicted in 1998 by Hurricane Mitch to Central America and the Caribbean occurred during a La Niña year. Southern America In several other parts of South America, an early onset of La Niña would bring drier-than-normal weather along coastal Ecuador, northwestern Peru, southern Brazil, Uruguay, Argentina and central Chile. Potential negative effects Dry conditions could affect wheat and soya crops in southern Brazil and central Argentina, which are also the main producing areas. Lack of pasture will affect animal body conditions and general health making them more susceptible to different diseases, as well as reduce production such as milk and wool. Low grass will force animals to graze close to soil and hence in anthrax endemic areas increase the risk of infection. Early actions relevant for above-average rainfall in Central America, the Caribbean and northern South America include: act now to ensure harvest monitoring surveillance is sufficient to allow timely response to damaged primera harvest in August/September; response could include seed support in order to ensure adequate planting for the main postera season; immediate agricultural extension advice to be issued to farmers on seed drying methods and storage before the bean primera harvest in August/ September; immediate review of flood defence capacities in flood-prone areas check dam construction, repair/support riverbanks and support to construction of community seed stores as appropriate; and support agricultural extension services to prepare advice on adjustments of fertilizer and fungicide application or early harvest. (Actual applicability and timing will depend on meteorological forecasts, precipitation rates and crop and plant growth stage). Early actions relevant for drier-than-average conditions in South America include: immediate preparation for extension advice on planting of early maturing soybeans in September/October; and support water supply for livestock and crops through immediate review of water point coverage and rehabilitation or establishment as appropriate in July/August. 6

ASIA & PACIFIC: Central, South, Southeast Asia and Pacific Islands regions Impact outlook South and Southeast Asia In much of South and Southeast Asia, La Niña increases the probability of heavier rainfall, especially during the end of 2016 and start of 2017. This is particularly the case for Indonesia, Bangladesh and Malaysia, and these effects could extend to the Philippines, Papua New Guinea, areas of the Pacific and other countries in the region. Potential benefits If La Niña sets-in early (from July onwards), enhanced rainfall could benefit crop development of the 2016 main season crops in the Northern Hemisphere countries and the 2016 secondary crops in the Southern Hemisphere, bringing relief to current drought-affected areas. Potential negative effects Excessive rains could increase the risk of flooding for low-lying agricultural lands, produce extensive damage to standing crops, increase pest and diseases and heighten the potential for landslides. Central Asia Across various countries in Central Asia, La Niña would bring drier-thanaverage conditions from January to May 2017. Early actions relevant for above-average rainfall in South and Southeast Asia include: advise farmers on seed drying methods and storage; check dam construction in high flood-prone areas, repair and support riverbanks and establish community seed stores in July/August; support agricultural extension services to preapre advice on adjustments of fertilizer and fungicide application or early harvest. (Actual applicability and timing will depend on meteorological forecasts, precipitation rates and crop and plant growth stage); provide submergence-tolerant rice varieties based on meteorological forecasts (for first, second or third rice crop respectively to countries affected); and intensify surveillance and monitoring of vector-borne diseases from September onwards. Early actions relevant for drier-than-average conditions in Central Asia include: provide abiotic stress-tolerant varieties for early crops and early maturing crops (e.g. potato) in January for the planting season in February/March (depending on location and farming systems); and strengthen community-based water management techniques from October to December. Pacific Consequences would vary widely across the Pacific. One of the main potential benefits would be the reduced likelihood of hurricanes in the northeast Pacific. 7

Sources of information This analysis consolidates information produced mostly by these sources and references: Global Information and Early Warning System on Food and Agriculture (GIEWS) of the Food and Agriculture Organization of the United Nations International Research Institute for Climate and Society (IRI), Earth Institute, Columbia University National Oceanic and Atmospheric Administration (NOAA), Climate Prediction Centre Hirons L. and Klingaman N.; La Niña 2016/2017 Historical Impact Analysis, Report produced for Evidence on Demand with the assistance of the UK Department for International Development, February 2016. Inter-Agency Standing Committee, Early Warning, Early Action and Readiness Report, June November 2016 Office for the Coordination of Humanitarian Affairs (OCHA), Overview of Impact, Projected Humanitarian Needs and Response, June 2016 Famine Early Warning Systems Network (FEWSNET) The Desert Locust Information Service (DLIS), AGPMM, FAO HQ 8

www.fao.org/emergencies I5853E/1/07.16