Presentation made by Andy Jarvis in Bellagio, Italy at the Second Strategic Meeting of the Global Cassava Partnership for the 21st Century on the 2nd November, 2010.
The document discusses downscaling of climate model data to provide higher resolution inputs for agricultural and conservation planning. It describes how global climate models (GCMs) are downscaled using statistical and dynamical methods, and bias corrected, to produce climate projections at regional and local scales. The CCAFS-Climate database houses downscaled, bias corrected climate data from multiple sources to provide high-resolution climate inputs through its web portal for use in crop modeling, vulnerability assessments, and other applications.
The document discusses climate services in Latin America and the Caribbean (LAC) region. It describes major activities including predicting climate at seasonal timescales, predicting crop yields, and assessing farmer and extension agent information needs. It presents results from a predictability study of climate across four departments in Colombia that grow rice and maize. The study found the greatest predictability in the Inter-Andean valleys. It also discusses assessing information needs through capacity building and different information diffusion channels.
Navarro-Racines, C., Ramirez, J., Jarvis, A., Loheto, K. Climate modeling, climate change and agriculture. Durban Agrihack Talent Challenge in the Global Forum for Innovations in Agriculture in Africa (GFIA Africa), organized by the Technical Centre for Agricultural and Rural Cooperation (CTA), the Durban University of Technology (DUT) and the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS). (Nov-Dec 2015). Durban, South Africa.
This presentation outlines the methodology for applying Social Return on Investment (SROI) as a community based climate change adaptation costing tool. It contains photos and activities from the CIAT-CCAFS pilot test of the approach in Kochiel Kenya in July 2011.
Presentation made in the Side Event on Agriculutral Biodiversity and Climate Change organised by Bioversity International in the context of the Commission on Genetic Resources for Food and Agriculture (CGRFA) meetings in FAO, July 2011.
CIAT's work on developing a cassava crop model to better understand impacts of climate change and priorities for adaptation. The workplan involves:
1. Developing a mechanistic cassava crop model with components for canopy development, phenology, biomass, drought response, and other processes.
2. Integrating the model into a large-area modeling framework (GLAM) to reproduce historical yield responses to climate variability.
3. Calibrating and evaluating the model using multi-site trial and yield data.
4. Running the model to improve estimates of climate change impacts on cassava and help establish breeding priorities for adaptation.
The document discusses downscaling of climate model data to provide higher resolution inputs for agricultural and conservation planning. It describes how global climate models (GCMs) are downscaled using statistical and dynamical methods, and bias corrected, to produce climate projections at regional and local scales. The CCAFS-Climate database houses downscaled, bias corrected climate data from multiple sources to provide high-resolution climate inputs through its web portal for use in crop modeling, vulnerability assessments, and other applications.
The document discusses climate services in Latin America and the Caribbean (LAC) region. It describes major activities including predicting climate at seasonal timescales, predicting crop yields, and assessing farmer and extension agent information needs. It presents results from a predictability study of climate across four departments in Colombia that grow rice and maize. The study found the greatest predictability in the Inter-Andean valleys. It also discusses assessing information needs through capacity building and different information diffusion channels.
Navarro-Racines, C., Ramirez, J., Jarvis, A., Loheto, K. Climate modeling, climate change and agriculture. Durban Agrihack Talent Challenge in the Global Forum for Innovations in Agriculture in Africa (GFIA Africa), organized by the Technical Centre for Agricultural and Rural Cooperation (CTA), the Durban University of Technology (DUT) and the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS). (Nov-Dec 2015). Durban, South Africa.
This presentation outlines the methodology for applying Social Return on Investment (SROI) as a community based climate change adaptation costing tool. It contains photos and activities from the CIAT-CCAFS pilot test of the approach in Kochiel Kenya in July 2011.
Presentation made in the Side Event on Agriculutral Biodiversity and Climate Change organised by Bioversity International in the context of the Commission on Genetic Resources for Food and Agriculture (CGRFA) meetings in FAO, July 2011.
CIAT's work on developing a cassava crop model to better understand impacts of climate change and priorities for adaptation. The workplan involves:
1. Developing a mechanistic cassava crop model with components for canopy development, phenology, biomass, drought response, and other processes.
2. Integrating the model into a large-area modeling framework (GLAM) to reproduce historical yield responses to climate variability.
3. Calibrating and evaluating the model using multi-site trial and yield data.
4. Running the model to improve estimates of climate change impacts on cassava and help establish breeding priorities for adaptation.
Andy J Climate Change And Roots And Tubers Nov 2009CIAT
Presentation on the impacts of climate change on agriculture, with specific reference to roots and tubers. made in the International Symposium for Roots and Tubers held in Lima, November 2009.
This document discusses using crop-climate models to help farmers adapt cropping systems to climate variability. It describes how crop yields are sensitive to climate and how modeling can provide local agroclimatic forecasts and recommendations on variety selection and planting dates. Big data from rice farms is used to understand site-specific climate impacts and develop management advice. The approach is being implemented with thousands of farmers in Colombia to close yield gaps and avoid losses from climate events through seasonal forecasting services and local agroclimatic bulletins.
Andy J Climate Change And Cassava In Latin America July 2009CIAT
This document discusses the expected impacts of climate change on cassava production in Latin America. Global climate models project increases in temperatures and changes in rainfall patterns across Latin America by 2050. Modeling studies also find that suitable areas for cassava cultivation will shift, with some areas gaining suitability while others may lose it. However, developing new cassava varieties with improved drought, heat, or cold tolerance could help address changes to climatic constraints and allow for expanded cassava production. Further analysis is still needed on pest and disease impacts and post-harvest effects, but crop improvement efforts can help support adaptation to climate change.
Is Cassava the Answer to African Climate Change Adaptation?CIAT
1) The document analyzes how climate change may impact cassava and other staple crops in Africa between now and the 2030s. It finds that cassava is projected to experience overall increases in suitability across much of Africa, performing better than other crops like maize, millet, and potatoes.
2) Other key crops like beans, potatoes and bananas are predicted to have substantial decreases in suitability. Cassava is found to have increased suitability in West, East, and Central Africa, where most production occurs.
3) The document also examines potential impacts of climate change on cassava pests and diseases, finding both new areas becoming suitable and current areas becoming less suitable. Increased drought
This presentation was made by Dr. Robert B. Zougmoré, CCAFS Africa Program Leader, at the WASCAL Science Symposium, 19-21 June 2018, Tang Palace Hotel, Accra, Ghana
Presentation made by Andy Jarvis from the Decision and Policy Analysis Program of the International Centre for Tropical Agriculture (CIAT). Delivered at Supagro in Montpellier, France in November 2009.
Climate Change and Future Food Security: The Impacts on root and Tuber CropsACDI/VOCA
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Importance or Root Crops to Jamaican Food Security
Estimating Yields (Manually)- Yield vs. Climate Dilemma
Methodology: Tools and Approaches
Results: Parameterization, Future Production under Climate Change
Conclusions: Climate Smart Implications & Main lessons learnt
Presentation at the Montpellier CSA2015 conference by Robert Zougmoré, Program leader at the CCAFS West Africa Regional Program.
Read more about the conference: http://ccafs.cgiar.org/3rd-global-science-conference-%E2%80%9Cclimate-smart-agriculture-2015%E2%80%9D#.
http://www.icrisat.org/
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This document discusses the impacts of climate change on agriculture. It begins by defining climate change and outlining some of the key drivers influencing agriculture, including population growth, urbanization, and globalization. It then examines how climate change is affecting global temperatures, greenhouse gas emissions, and precipitation patterns. The document outlines projections for increased global temperatures and impacts on agriculture in India like reduced wheat production. It discusses how different sectors contribute to climate change and strategies for agricultural adaptation.
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IAHR 2015 - Coastal sustainability for uncertain futures, Sanchez-Arcilla, 30...Deltares
This document discusses coastal sustainability strategies for uncertain climate change futures, using Mediterranean cases from the RISES-AM project. It summarizes projections for sea level rise and changes in wave conditions. It then examines potential climate impacts on deltaic beaches and urban beaches, which are identified as vulnerability hotspots. Several general coastal adaptation options are proposed, including enhancing natural accretion processes. Case studies of the Ebro River delta and an urban beach in Barcelona are presented to illustrate climate impact assessments and adaptation planning approaches. The document emphasizes the need for multi-scale management strategies that consider risks, costs, and the ability to adapt to high-end climate change scenarios.
Berry Climate Change Projections And Implicationgreatermary
1) The document discusses climate change projections from various global circulation models and emission scenarios and their implications for areas like the Mary River region.
2) The projections show increases in average maximum temperatures, decreases in annual precipitation, and more frequent extreme heat days in the future for the region.
3) However, differing climate models and scenarios can provide different projections, so future research is needed to increase the accuracy of rainfall projections to local areas.
Climate Change Scenarios for Tourist Destinations in Jamaica: Montego Bay and...intasave-caribsavegroup
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This study analyzes the potential impacts of climate change on Sydney's water supply system. It uses downscaled climate projections from global climate models under three emissions scenarios to assess changes in rainfall, evaporation, and river flows. The results suggest that under a high emissions scenario by 2030, average annual rainfall may decrease and evaporation may increase, reducing water inflows and the system's yield by around 8%. By 2070, yield reductions could reach 11%. However, the downscaled projections lack persistence in drought conditions seen in historical data, representing a key limitation. Further research is needed to improve statistical downscaling methods and incorporate multiple climate models to better assess impacts on Sydney's water supply system.
Climate Change Impacts and Household Vulnerability of Rainfed Farming Systems...ICRISAT
Rainfed agriculture plays an important role in the livelihoods of rural households in the Semi-Arid Tropics (SAT), which occupies about 55% (86 M ha) of net sown area and produces 40% of total foodgrain. Rainfed farming systems are highly vulnerable to the adverse impacts of climate variability and change. There is a need to minimize this risk and uncertainty to sustainably increase food production. A systems approach with multidimensional assessments can best assess the impact of climate change on agriculture production systems, household level income and poverty.
This document summarizes an assessment of climate change vulnerability for 12 ecosystems in the Southeast US and Caribbean. Two assessment approaches were used: Phase 1 synthesized literature and GIS data to evaluate sensitivity, exposure, and adaptive capacity. Phase 2 used NatureServe's Habitat Climate Change Vulnerability Index to quantify vulnerability scores for two ecosystems. Both approaches found similar moderate to high vulnerability ratings. Future research needs include better understanding impacts on hydrology, disturbance regimes, and species interactions under climate change. The assessments provide a starting point for adaptation planning but incorporating additional factors could improve the analysis.
Challenges in current & Future irrigation managementMahbubul Hassan
This document discusses challenges in current and future irrigation management in Bangladesh. It identifies the key driving forces as water availability, economics, environment, climate change, social factors, and policies. Groundwater levels are declining across the country due to over-pumping. Bangladesh's geo-physical position and climate change are leading to more adverse weather conditions like droughts, floods, and salinity. Various strategies are proposed to cope with water shortage, including increasing supply through methods like rubber dams and recharge wells, and reducing demand through adjusted cropping patterns and irrigation scheduling.
Fortalecimiento de capacidades para la producción, traducción, diseminación y uso efectivo de datos y perspectivas climáticas en el sector agropecuario en la región SICA.
Carlos Navarro-Racines
Evento de socialización de los logros alcanzados por CCAFS en Centroamérica en el marco de la gira del Grupo Técnico de Cambio Climático y Gestión Integral del Riesgo (GTCCGIR) del CAC.
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Presentation on the impacts of climate change on agriculture, with specific reference to roots and tubers. made in the International Symposium for Roots and Tubers held in Lima, November 2009.
This document discusses using crop-climate models to help farmers adapt cropping systems to climate variability. It describes how crop yields are sensitive to climate and how modeling can provide local agroclimatic forecasts and recommendations on variety selection and planting dates. Big data from rice farms is used to understand site-specific climate impacts and develop management advice. The approach is being implemented with thousands of farmers in Colombia to close yield gaps and avoid losses from climate events through seasonal forecasting services and local agroclimatic bulletins.
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This document discusses the expected impacts of climate change on cassava production in Latin America. Global climate models project increases in temperatures and changes in rainfall patterns across Latin America by 2050. Modeling studies also find that suitable areas for cassava cultivation will shift, with some areas gaining suitability while others may lose it. However, developing new cassava varieties with improved drought, heat, or cold tolerance could help address changes to climatic constraints and allow for expanded cassava production. Further analysis is still needed on pest and disease impacts and post-harvest effects, but crop improvement efforts can help support adaptation to climate change.
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1) The document analyzes how climate change may impact cassava and other staple crops in Africa between now and the 2030s. It finds that cassava is projected to experience overall increases in suitability across much of Africa, performing better than other crops like maize, millet, and potatoes.
2) Other key crops like beans, potatoes and bananas are predicted to have substantial decreases in suitability. Cassava is found to have increased suitability in West, East, and Central Africa, where most production occurs.
3) The document also examines potential impacts of climate change on cassava pests and diseases, finding both new areas becoming suitable and current areas becoming less suitable. Increased drought
This presentation was made by Dr. Robert B. Zougmoré, CCAFS Africa Program Leader, at the WASCAL Science Symposium, 19-21 June 2018, Tang Palace Hotel, Accra, Ghana
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Results: Parameterization, Future Production under Climate Change
Conclusions: Climate Smart Implications & Main lessons learnt
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Read more about the conference: http://ccafs.cgiar.org/3rd-global-science-conference-%E2%80%9Cclimate-smart-agriculture-2015%E2%80%9D#.
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This document discusses coastal sustainability strategies for uncertain climate change futures, using Mediterranean cases from the RISES-AM project. It summarizes projections for sea level rise and changes in wave conditions. It then examines potential climate impacts on deltaic beaches and urban beaches, which are identified as vulnerability hotspots. Several general coastal adaptation options are proposed, including enhancing natural accretion processes. Case studies of the Ebro River delta and an urban beach in Barcelona are presented to illustrate climate impact assessments and adaptation planning approaches. The document emphasizes the need for multi-scale management strategies that consider risks, costs, and the ability to adapt to high-end climate change scenarios.
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1) The document discusses climate change projections from various global circulation models and emission scenarios and their implications for areas like the Mary River region.
2) The projections show increases in average maximum temperatures, decreases in annual precipitation, and more frequent extreme heat days in the future for the region.
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ScyllaDB is making a major architecture shift. We’re moving from vNode replication to tablets – fragments of tables that are distributed independently, enabling dynamic data distribution and extreme elasticity. In this keynote, ScyllaDB co-founder and CTO Avi Kivity explains the reason for this shift, provides a look at the implementation and roadmap, and shares how this shift benefits ScyllaDB users.
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
High performance Serverless Java on AWS- GoTo Amsterdam 2024Vadym Kazulkin
Java is for many years one of the most popular programming languages, but it used to have hard times in the Serverless community. Java is known for its high cold start times and high memory footprint, comparing to other programming languages like Node.js and Python. In this talk I'll look at the general best practices and techniques we can use to decrease memory consumption, cold start times for Java Serverless development on AWS including GraalVM (Native Image) and AWS own offering SnapStart based on Firecracker microVM snapshot and restore and CRaC (Coordinated Restore at Checkpoint) runtime hooks. I'll also provide a lot of benchmarking on Lambda functions trying out various deployment package sizes, Lambda memory settings, Java compilation options and HTTP (a)synchronous clients and measure their impact on cold and warm start times.
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
QA or the Highway - Component Testing: Bridging the gap between frontend appl...zjhamm304
These are the slides for the presentation, "Component Testing: Bridging the gap between frontend applications" that was presented at QA or the Highway 2024 in Columbus, OH by Zachary Hamm.
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
From Natural Language to Structured Solr Queries using LLMsSease
This talk draws on experimentation to enable AI applications with Solr. One important use case is to use AI for better accessibility and discoverability of the data: while User eXperience techniques, lexical search improvements, and data harmonization can take organizations to a good level of accessibility, a structural (or “cognitive” gap) remains between the data user needs and the data producer constraints.
That is where AI – and most importantly, Natural Language Processing and Large Language Model techniques – could make a difference. This natural language, conversational engine could facilitate access and usage of the data leveraging the semantics of any data source.
The objective of the presentation is to propose a technical approach and a way forward to achieve this goal.
The key concept is to enable users to express their search queries in natural language, which the LLM then enriches, interprets, and translates into structured queries based on the Solr index’s metadata.
This approach leverages the LLM’s ability to understand the nuances of natural language and the structure of documents within Apache Solr.
The LLM acts as an intermediary agent, offering a transparent experience to users automatically and potentially uncovering relevant documents that conventional search methods might overlook. The presentation will include the results of this experimental work, lessons learned, best practices, and the scope of future work that should improve the approach and make it production-ready.
The Department of Veteran Affairs (VA) invited Taylor Paschal, Knowledge & Information Management Consultant at Enterprise Knowledge, to speak at a Knowledge Management Lunch and Learn hosted on June 12, 2024. All Office of Administration staff were invited to attend and received professional development credit for participating in the voluntary event.
The objectives of the Lunch and Learn presentation were to:
- Review what KM ‘is’ and ‘isn’t’
- Understand the value of KM and the benefits of engaging
- Define and reflect on your “what’s in it for me?”
- Share actionable ways you can participate in Knowledge - - Capture & Transfer
Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications.
In our second session, we shall learn all about the main features and fundamentals of UiPath Studio that enable us to use the building blocks for any automation project.
📕 Detailed agenda:
Variables and Datatypes
Workflow Layouts
Arguments
Control Flows and Loops
Conditional Statements
💻 Extra training through UiPath Academy:
Variables, Constants, and Arguments in Studio
Control Flow in Studio
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
3. Global Climate Models (GCMs)
• 21 global climate models in the world, based on
atmospheric sciences, chemistry, biology, and a touch
of astrology
• Run from the past to present to calibrate, then into the
future
• Run using different emissions scenarios
10. Climate changes in cassava growing
environments
0.6
0.7
0.8
0.9
1.0
1.1
1.2
1.3
1.4
-250 -150 -50 50 150 250
Change in precipitation (mm)
Changeintemperature(°C)
Australasia
Caribbean
Central Africa
Central America
Eastern Africa
South America
Southern Africa
Western Africa
NGA
THA
IDN
BRA
LBR
CRI COL
MWI
11. •Crops develop more quickly in higher temperatures
Pritchard and Amthor 2005
12. Cassava – an exception to the rule?
•In many cases, roughly 6-10% yield loss per degree
•For example, US maize, soy, cotton yields fall rapidly when exposed
to temperatures >30˚C
Schlenker and Roberts 2009 PNAS
13. Impacts of climate change to food security
• Lobell et al. looked at
impacts of climate
change on food security
• Cassava clearly
highlighted as suffering
least among many
staples
• Particular opportunities
as an alternative crop for
southern Africa
15. The Model: EcoCrop
It evaluates on monthly basis if there
are adequate climatic conditions
within a growing season for
temperature and precipitation…
…and calculates the climatic suitability of the
resulting interaction between rainfall and
temperature…
• So, how does it work?
16. Current suitability
Growing season (days) 240 Killing temperature (°C) 0
Minimum absolute
temperature (°C)
15.0
Minimum optimum
temperature (°C)
22.0
Maximum optimum
temperature (°C)
32.0
Maximum absolute
temperature (°C)
45.0
Minimum absolute
rainfall (mm)
300
Minimum optimum
rainfall (mm)
800
Maximum optimum
rainfall (mm)
2200
Maximum absolute
rainfall (mm)
2800
20. …….and for Latin America?
Drought or flooding tolerance
30% of current cassava fields
would benefit from enhanced
drought or flooding tolerance
1.6m Ha still suffering climatic
constraint
2.23m Ha of current
production
2.1m Ha of new land would
become suitable for cassava
0
5
10
15
20
25
30
35
-2.5% -2% -1.5% -1% -0.5% None +0.5% +1% +1.5% +2% +2.5%
Mejora en la resiliencia de los cultivos
Cambioenáreasadaptables
[>80%](%)
Áreas cultivadas
Áreas no-cultivadas
Total áreas
adaptables
Toleracia a sequias
Toleracia a inundación
0
5
10
15
20
25
30
35
-2.5% -2% -1.5% -1% -0.5% None +0.5% +1% +1.5% +2% +2.5%
Mejora en la resiliencia de los cultivos
Cambioenáreasadaptables
[>80%](%)
Áreas cultivadas
Áreas no-cultivadas
Total áreas
adaptables
Toleracia a sequias
Toleracia a inundación
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
1.6
1.8
2.0
Ropmin Ropmax Not benefited
Áreasbeneficiadas(milliónde
hectáreas)
Áreas cultivadas actualmente
Áreas no-cultivadas
actualmente
21. …….and for Latin America?
Heat or cold tolerance
27% of current cassava fields
would benefit from enhanced
cold or heat tolerance
2.23m Ha of current
production
2.2m Ha of new land would
become suitable for cassava
0
2
4
6
8
10
12
-2.5ºC -2ºC -1.5ºC -1ºC -0.5ºC None +0.5ºC +1ºC +1.5ºC +2ºC +2.5ºC
Mejoramiento en la resiliencia del cultivo
Cambioenáreasadaptables
[>80%](%)
Áreas cultivadas
Áreas no-cultivadas
Total áreas adaptables
Toleracia al calor
Toleracia al frío
0
2
4
6
8
10
12
-2.5ºC -2ºC -1.5ºC -1ºC -0.5ºC None +0.5ºC +1ºC +1.5ºC +2ºC +2.5ºC
Mejoramiento en la resiliencia del cultivo
Cambioenáreasadaptables
[>80%](%)
Áreas cultivadas
Áreas no-cultivadas
Total áreas adaptables
Toleracia al calor
Toleracia al frío
0
1
1
2
2
3
Topmin Topmax Not benefited
Áreasbeneficiadas(millóndehectáreas)
Áreas cultivadas actualmente
Áreas no-cultivadas
actualmente