SADC Course in Statistics Climate variability and climate change Module B1, Session 7.

Slides:



Advertisements
Similar presentations
SADC Course in Statistics Analysis of Variance for comparing means (Session 11)
Advertisements

SADC Course in Statistics Importance of the normal distribution (Session 09)
SADC Course in Statistics Revision of key regression ideas (Session 10)
Correlation & the Coefficient of Determination
SADC Course in Statistics Confidence intervals using CAST (Session 07)
SADC Course in Statistics Examples of Statistics Module B1, Session1.
SADC Course in Statistics Multi-stage sampling (Sessions 13&14)
SADC Course in Statistics Processing single and multiple variables Module I3 Sessions 6 and 7.
SADC Course in Statistics Session 4 & 5 Producing Good Tables.
SADC Course in Statistics Solar energy and solar cooking Module B1, Session 8.
SADC Course in Statistics Graphical summaries for quantitative data Module I3: Sessions 2 and 3.
SADC Course in Statistics Linking tests to confidence intervals (and other issues) (Session 10)
SADC Course in Statistics Preparing & presenting demographic information: 2 (Session 06)
SADC Course in Statistics Review and further practice (Session 10)
SADC Course in Statistics Revision using CAST (Session 04)
SADC Course in Statistics To the Woods discussion (Sessions 10)
SADC Course in Statistics Introduction to the module and the sessions Module I4, Sessions 1 and 2.
SADC Course in Statistics Reporting on the web site Module I4, Sessions 14 and 15.
SADC Course in Statistics Review of ideas of general regression models (Session 15)
SADC Course in Statistics Developing a sampling strategy (Session 05)
SADC Course in Statistics Case Study Work (Sessions 16-19)
Using a statistics package to analyse survey data Module 2 Session 8.
SADC Course in Statistics Reviewing reports Module I4, Session 9.
SADC Course in Statistics Modelling ideas in general – an appreciation (Session 20)
SADC Course in Statistics Producing a product portfolio Module I3 Session
SADC Course in Statistics Handling Data Module B2.
SADC Course in Statistics Objectives and analysis Module B2, Session 14.
SADC Course in Statistics Sampling methods in practice Module I1, Sessions 06 and 07.
SADC Course in Statistics Numerical summaries for quantitative data Module I3 Sessions 4 and 5.
SADC Course in Statistics Risks and return periods Module I3 Sessions 8 and 9.
SADC Course in Statistics Comparing Means from Paired Samples (Session 13)
SADC Course in Statistics Revision on tests for means using CAST (Session 17)
SADC Course in Statistics Excel for statistics Module B2, Session 11.
Lindiwe Majele Sibanda Overview of FANRPAN 20 June 2008 Kempton Park, South Africa FANRPAN Board and Partners Meeting.
1 11/21/2014 Policy Coherence in practice A Dutch Approach Aid Alone Is Not Enough to Reduce Global Poverty Romanian Development Camp 18 September 2008.
Influence: When to Use It Use this format to persuade your audience to Think about a topic. Take action regarding an issue. Support you with upper management.
SADC Course in Statistics Presenting good tables and graphs Module B2, Session 8.
SADC Course in Statistics Introduction and Study Objectives (Session 01)
SADC Course in Statistics Analysing numeric variables Module B2, Session 15.
Tables and graphs for frequencies and summary statistics
SADC Course in Statistics Comparing Means from Independent Samples (Session 12)
SADC Course in Statistics Introduction to the module and the session Module I1, Session 1.
Last Time In pairs compose a text message explaining the purpose of the UNCRC, then share this message with someone else from the group.
SADC Course in Statistics Producing Good Tables In Excel Module B2 Sessions 4 & 5.
SADC Course in Statistics Paddy results: a discussion (Session 17)
June, 2003 Poverty and Climate Change Reducing the Vulnerability of the Poor through Adaptation Poverty and Climate Change Reducing the Vulnerability of.
Conflicted World This term we will be looking at population change and conflict. We will be looking at how conflicts in Afghanistan, Rwanda and Iraq have.
Reducing Vulnerability at the Community Level Jo-Ellen Parry, Program Manager Adaptation in Eastern and Southern Africa.
S3 Term 1 Climate Change (G1) Explain the physical and human causes of climate change 6 Explain the effects of climate change 6 Explain the solutions adopted.
Practicalaction.org/europafrica DCI-NSAED/2010/
Level 2 Unit 7 Applications of Maintenance Techniques in Engineering Engineering Diploma Level 2 Unit 7 Application of Maintenance Techniques in Engineering.
Subject to Consultation Insert Slide Title Here Insert Name and Date Here.
Welcome to Family Wednesday September 18, Content Objective:  We will practice stretching one paragraph into a five- paragraph essay by creating.
SADC Course in Statistics Forecasting and Review (Sessions 04&05)
National Center for Health Statistics International Statistics Program U.S. Centers for Disease Control and Prevention National Center for Health Statistics.
LESSON 7.8: ELECTRONIC AGGRESSION Module 7: Violence Obj. 7.8: Evaluate the impact of technology on personal, family, and community health.
UNIT: MANAGING PEOPLE & ACTIVITIES  Royal Agricultural College Modular Scheme Cirencester College Foundation Degree in Business 2006/2007 Management of.
CLIMATE CHANGE MITIGATION AND ADAPTATION. Vision A productive and profitable future for American agriculture based on a research program that correctly.
DFID Climate Change Implementation Strategy NGO Consultation INTRODUCTIONDFID AND CLIMATE CHANGE.
How far away can a shark smell blood? ALL: will form a simple conclusion based on experimental evidence MOST: will link their conclusions to previous scientific.
Assessment in Numeracy Staff Meeting # “Independent learners have the ability to seek out and gain new skills, new knowledge and new understandings.
LHS46 - Safeguarding and protection of vulnerable adults EDUC8TIONS LTD.
Children and Climate change
AGRICULTURAL, OFF-FARM, MIGRATION, & SOCIAL PROTECTION STRATEGIES TO INCREASE RURAL HOUSEHOLD RESILIENCE TO RAINFALL SHOCKS IN SUB-SAHARAN AFRICA Bradford.
Poverty and conservation
describe and interpret climate maps, diagrams and graphs
Role of the Coach GAA Award 1 Course.
AGRICULTURAL, OFF-FARM, MIGRATION, & SOCIAL PROTECTION STRATEGIES TO INCREASE RURAL HOUSEHOLD RESILIENCE TO RAINFALL SHOCKS IN SUB-SAHARAN AFRICA Bradford.
WINnERS (SLU) The World Food Programme has pledged to buy at least $120 million each year in agricultural products from smallholder farmers. Climate-KIC’s.
المعرفة المهنية Professional Knowledge
Presentation transcript:

SADC Course in Statistics Climate variability and climate change Module B1, Session 7

To put your footer here go to View > Header and Footer 2 Learning Objectives Explain why climate issues are included in this statistics course Relate climate change and climate variability to risk assessment and productivity in agriculture Understand the data requirements for a climate change problem concerning planting dates Interpret a graph of planting dates to begin to assess the evidence for climate change Explain their role, if any, in the climate debate

To put your footer here go to View > Header and Footer 3 Contents 1.Session outline 2.The case for including climatic examples video, transcript and discussion 3.Climate variability and agriculture video, transcript and discussion 4.Class discussion reviewing the interviews 5.Group work DFID fact sheet on the importance of climate issues Zambia case study What role can you play 6.Review

To put your footer here go to View > Header and Footer 4 Activity 2 – why include climatic examples? Climate variability affects many sectors of the National Statistical system including health and agriculture Climatic “shocks” are a major issue in preventing families climbing out of poverty Climate change is a global issue which could hit Africa hard And studying variability is what statistics is all about!

To put your footer here go to View > Header and Footer 5 Activity 3: Climate and rainfed agriculture Africa depends on rainfed agriculture and will continue to do so It is a risky business and farmers are risk averse partly because they don’t know the risks But they could If the climatic data were analysed appropriately Then they could take advantage of the average and good years better than they are able to do now The video tells the story!

To put your footer here go to View > Header and Footer 6 Activity 4: Class discussion (10 min) What are the key points to take away from these interviews? What do these messages mean for development projects and studies? Do you agree with them? What can studies into climate, past and present, inform us on?

To put your footer here go to View > Header and Footer 7 Activity 5: Group work Divide into groups of 4 Within your group divide into pairs Each pair looks at one of the two remaining resources 1.International - DFID factsheet 2.Local - Zambia study on climate change Report on your study to the others in your group picking out 4 or 5 key points as part of your explanation Then in the group discuss your views on climate variability and change

To put your footer here go to View > Header and Footer 8 Responding to the risks of climate change Fact sheet by DFID DFID = UK Department for International Development Are different approaches to poverty eradication necessary? Reducing the vulnerability of the poor to current climate variability is the starting point for adaptation to climate change What are the priorities for Africa? see the DFID fact sheet

To put your footer here go to View > Header and Footer 9 Climate change in Southern Zambia Farmers are migrating North Claiming their farming problems are due to climate change A local NGO – CFU Conservation Farming Unit Agrees there are problems of climate variability But is not convinced that climate change Has affected these rainfall-related risks So they wanted a study of the rainfall data to check on the evidence for climate change and calculate the risks

To put your footer here go to View > Header and Footer 10 One result from the Zambia study The daily rainfall data were needed for this analysis

To put your footer here go to View > Header and Footer 11 Explain to your group From your case study Explain to the others in your group Partly by giving 4 or 5 key points Then have a general group discussion Do you agree with the inclusion of climatic examples in this course The DFID fact sheet says that climate variability and climate change is so important that new approaches are needed What do you think?

To put your footer here go to View > Header and Footer 12 What could climate issues mean for you? Is climate variability and climate change just for your government or for the West or for the Met Service Or does it affect everyone? If so and if variability is so important which is something statisticians study What should you do? What could you do “You” could be yourself, or your organisation

To put your footer here go to View > Header and Footer 13 The next session continues the climatic theme by looking at solar energy, particularly solar cooking