Presentation from online launch of the Participatory Climate Information Services for Agriculture Field Manual. Learn more: https://ccafs.cgiar.org/online-launch-participatory-climate-information-services-agriculture-manual
Master's defense presentation, in partial fulfillment of the requirements of master diploma in statistics and applied economics. Major applied statistics and econometrics.
Titled by : The impact of climate change on wheat yields, in North Africa.
Does Farm Structure Matter? The Effects of Farmland Distribution Patterns on ...IFPRI-PIM
CGIAR Research Program on Policies, Institutions, and Markets Workshop on Rural Transformation in the 21st Century (Vancouver, BC – 28 July 2018, 30th International Conference of Agricultural Economists). Presentation by Jordan Chamberlin (CIMMYT) and Thomas Jayne (MSU)
Big cities, small towns, and poor farmers: Evidence from Ethiopia Spatial P...essp2
1) The population of small towns (20k-50k) and medium towns (50k-100k) in Ethiopia grew significantly from 1994 to 2016, demonstrating rapid urbanization beyond just large cities.
2) The percentage of Ethiopia's population living within 1 hour of an urban area increased from 7.89% in 1994 to 16.6% in 2016, showing improved rural connectivity to cities.
3) If road infrastructure had not improved since 1994, accessibility would still have grown but not as much, indicating that both growing cities and new infrastructure have driven better rural connectivity in Ethiopia.
1) The document discusses enhancing climate-smart agriculture in Nyando, Kenya through partnerships, decision support tools, and climate information services.
2) It aims to build smallholder farmers' capacity to manage climate risks and adapt to climate change by strengthening partnerships between farmers and organizations, applying decision support tools, and providing accessible climate data and products.
3) Specific objectives include developing communication strategies to help farmers make better decisions based on historical climate data, forecasts, and their own experiences.
The indigenous weather forecasting system of the Borana people relies on both abiotic and biotic indicators observed in nature. Forecast information is disseminated through forecasters called Uchu and Urgi Elaltus to allow socioeconomic preparations. Research found the indigenous forecasts to have credibility among the Borana people based on long-term observation of the environment. The forecasts are important for the pastoralist livelihoods as they inform decisions around agriculture, rangeland management, and herd size based on anticipated climate.
A presentation by John Gathenya at the Community Based Adaptation and Resilience in East and Southern Africa’s Drylands
1-4 September 2014, Addis Ababa
Master's defense presentation, in partial fulfillment of the requirements of master diploma in statistics and applied economics. Major applied statistics and econometrics.
Titled by : The impact of climate change on wheat yields, in North Africa.
Does Farm Structure Matter? The Effects of Farmland Distribution Patterns on ...IFPRI-PIM
CGIAR Research Program on Policies, Institutions, and Markets Workshop on Rural Transformation in the 21st Century (Vancouver, BC – 28 July 2018, 30th International Conference of Agricultural Economists). Presentation by Jordan Chamberlin (CIMMYT) and Thomas Jayne (MSU)
Big cities, small towns, and poor farmers: Evidence from Ethiopia Spatial P...essp2
1) The population of small towns (20k-50k) and medium towns (50k-100k) in Ethiopia grew significantly from 1994 to 2016, demonstrating rapid urbanization beyond just large cities.
2) The percentage of Ethiopia's population living within 1 hour of an urban area increased from 7.89% in 1994 to 16.6% in 2016, showing improved rural connectivity to cities.
3) If road infrastructure had not improved since 1994, accessibility would still have grown but not as much, indicating that both growing cities and new infrastructure have driven better rural connectivity in Ethiopia.
1) The document discusses enhancing climate-smart agriculture in Nyando, Kenya through partnerships, decision support tools, and climate information services.
2) It aims to build smallholder farmers' capacity to manage climate risks and adapt to climate change by strengthening partnerships between farmers and organizations, applying decision support tools, and providing accessible climate data and products.
3) Specific objectives include developing communication strategies to help farmers make better decisions based on historical climate data, forecasts, and their own experiences.
The indigenous weather forecasting system of the Borana people relies on both abiotic and biotic indicators observed in nature. Forecast information is disseminated through forecasters called Uchu and Urgi Elaltus to allow socioeconomic preparations. Research found the indigenous forecasts to have credibility among the Borana people based on long-term observation of the environment. The forecasts are important for the pastoralist livelihoods as they inform decisions around agriculture, rangeland management, and herd size based on anticipated climate.
A presentation by John Gathenya at the Community Based Adaptation and Resilience in East and Southern Africa’s Drylands
1-4 September 2014, Addis Ababa
The USDA Midwest Climate Hub provides resources and tools to help agricultural producers and natural resource managers build resilience to climate change. The Hub develops and delivers science-based, region-specific information through research partnerships and information sharing. Its goal is to help Midwest agricultural producers cope with climate change through research, education, and partnerships. The Hub makes climate and weather data, monitoring tools, and other resources available on its website.
This document discusses seasonal climate forecasting and agriculture in Victoria. It notes that key climate drivers like ENSO, IOD, SAM and STR influence Victoria's rainfall variability. Seasonal forecasts provided by DEDJTR have helped farmers make risk management decisions like adjusting stocking rates. However, improving climate literacy so farmers understand forecasts better is also important. The document advocates creating a "mindset for adaptation" to help farmers manage climate variability and change.
Not forgetting the forests for the trees: The art and science of useful impac...World Agroforestry (ICRAF)
This presentation from the International Initiative for Impact Evaluation (3ie) was part of ICRAF's Agroforestry Development Impact Seminar (ADIS) series.
GFW_Deforestation Exposed Using High Resolution Satellite Imagery to Investig...Global Forest Watch
Thanks to the Norwegian Government, Norway’s International Climate & Forests Initiative (NICFI) launched their Satellite Data Program in September 2020 to power projects working to reduce and reverse tropical forest loss. Under this program Global Forest Watch (GFW) users can access Planet’s high-resolution, analysis-ready mosaics of the world’s tropics to reduce and reverse deforestation, combat climate change and more.
During this webinar, we will provide an overview of the satellite imagery and resources available on GFW. We will be joined by program leads from Kongsberg Satellite Services (KSAT) along with partners from Planet to share how this satellite imagery can help users investigate what’s happening in the world’s forests.
We will also highlight voices from local advocacy groups and media outlets. Don’t miss presentations from Mighty Earth, Reporter Brasil and SOS Orinoco on how they use this imagery in their investigations to expose unauthorized deforestation.
This webinar is the first in a series of virtual events this year celebrating Voices of Global Forest Watch.
A decade ago, the launch of GFW ushered in a new era of accountability and transparency around monitoring and protecting the world's forests. To celebrate 10 years of impact, our Voices of Global Forest Watch series will highlight successes of GFW users, partners and community members through videos, stories and events throughout the year. This event will be hosted in English with simultaneous interpretation to Spanish.
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/
This study analyzed the economic impacts of cover crops on cash crop yields using data from 20 farmers in central and northeastern Indiana over 640 field-years. Results showed no significant effects of cover crops on corn or soybean yields after controlling for weather and fertilizer use. However, farmers using cover crops for 3 or more years showed a positive but not statistically significant effect on soybean yields. The study aims to provide more conclusive data on cover crop costs and benefits to encourage farmer adoption, though larger and longer-term data may still be needed.
Remote sensing based drought tolerant maize targeting in SSA CIMMYT
Remote sensing –Beyond images
Mexico 14-15 December 2013
The workshop was organized by CIMMYT Global Conservation Agriculture Program (GCAP) and funded by the Bill & Melinda Gates Foundation (BMGF), the Mexican Secretariat of Agriculture, Livestock, Rural Development, Fisheries and Food (SAGARPA), the International Maize and Wheat Improvement Center (CIMMYT), CGIAR Research Program on Maize, the Cereal System Initiative for South Asia (CSISA) and the Sustainable Modernization of the Traditional Agriculture (MasAgro)
Presentation was made by Dr. Issa Ouédraogo CINSERE/USAID/CCAFS West Africa at the WASCAL Science Symposium, 19-21 June 2018, Tang Palace Hotel, Accra, Ghana
This document summarizes Bhutan's progress in developing a National Adaptation Plan (NAP). It outlines Bhutan's rapid stocktaking process to identify what information is available and where gaps exist to inform the NAP formulation. Key vulnerabilities from climate change include dependence on agriculture and hydropower, and increased risks from disasters. The document discusses framing the NAP in line with sustainable development goals. It also outlines some initial adaptation strategies for sectors like agriculture and hydroenergy to address vulnerabilities from shifts in rainfall and production variability.
This document summarizes a project assessing the adaptation of agroecosystems to climate change at the edge of the U.S. Cornbelt. The project has multiple objectives: 1) characterizing climate change patterns relevant to Dakotas agriculture; 2) developing methods to identify relocation of production systems; 3) surveying sensitive areas; and 4) modeling climate and other drivers of new production systems. Historical land use data from 1984-2011 shows expansion of corn and soybeans and contraction of wheat and alfalfa. Preliminary projections suggest more wheat acres west and more corn/soybeans east of the Missouri River due to climate trends. A survey of 3,000 farm operators found extensive land use conversion from grass
The document summarizes the key activities and progress of a grant received by NARL/NARO from the Rockefeller Foundation to strengthen their capacity to develop climate change adaptation interventions and policy recommendations in African agriculture. Some of the main activities included establishing a steering committee, raising awareness workshops, training researchers on data analysis, documenting climate data, testing adaptation technologies, and developing policy recommendations. Progress included forming the steering committee, developing a strategy, conducting sensitization, training technicians, establishing weather stations, and starting competitive grant projects. Early findings from projects were also presented.
Breakout Sessions Slide
Predictive Soil Health Economic Calculator: An Overview – Chellie Maples, Dr. Michelle Perez, and Ben Wiercinski discussed the Excel-based Predictive Soil Health Economic Calculator (P-SHEC) Tool to generate short & long-term estimates of soil health practice use in row crops.
Monday, February 12, 4:35 - 5:00 p.m.
This document discusses emerging opportunities to deliver relevant weather and climate information and services to smallholder farmers at scale. It outlines the need for spatially and temporally detailed historical, monitored, predicted, and projected climate data. Participatory approaches like PICSA can help communicate this information and support farmers' decision making. Effective partnerships are needed between meteorological agencies, researchers, extension services, and the private sector to generate localized climate data, train intermediaries, and ensure information reaches farmers through various communication channels. With improved access to actionable climate information and support systems, smallholder farmers' food security and livelihoods can be enhanced.
This document discusses the development of a pilot surface water forecasting tool for Glasgow, Scotland to be used operationally during the 2014 Commonwealth Games. A multi-organization team created a methodology and technical model setup to forecast heavy rainfall and surface water flood risk. The tool provided probabilistic forecasts during the Games and helped responders manage weather-related risks. The pilot demonstrated the potential for linking scientific forecasting with operational needs.
North Kingstown, Rhode Island—Municipal Assessment and Adaptation Strategies. Showcase a model for Rhode Island municipalities for assessing climate change and strategies for long-term planning presented by Teresa Crean, URI Coastal Resources Center/Rhode Island Sea Grant
Think tank 1 - West Toowoomba land use investigation studyToowoomba Region
This document discusses stakeholder engagement for a project planning the future development of the West Toowoomba region over the next 100 years. It outlines the project stages, including gathering background information, investigating the study area, and determining preferred land uses. Key issues identified include natural environment, agriculture, infrastructure, and economic development. The project will create a long-term strategic directions plan and more detailed neighborhood plans to guide development. Stakeholders are encouraged to provide input through meetings and online engagement opportunities.
Think Tank 1 - West Toowoomba land use investigation studyToowoomba Region
This document discusses stakeholder engagement for a project planning the future development of the West Toowoomba region over the next 100 years. It outlines the project stages, including gathering background information, investigating the study area, and determining preferred land uses. Key issues identified include natural environment, agriculture, infrastructure, and economic development. The project will create a long-term strategic directions plan and more detailed neighborhood plans to guide development. Stakeholders will have opportunities to provide input through community meetings and online engagement.
This presentation was made by Dr. Issa Ouédraogo Coordinator project CINSERE/USAID/CCAFS West Africa at the WASCAL Science Symposium, 19-21 June 2018, Tang Palace Hotel, Accra, Ghana
Crop suitability assessment under the perspective of climate change: a case s...Abdul Samad Nabizada
This document summarizes a study assessing the impact of climate change on crop suitability in Niger. The study analyzed changes in land suitability for major crops like sorghum, millet, cowpea and onion under historical climate (1970-2000) and future projections for 2050 and 2070 under RCP 2.6, 4.5 and 8.5 scenarios. Results showed increases in average temperature of 2.2-2.7°C and decreases in precipitation. Land suitability is projected to decrease for cowpea and increase for sorghum, millet and onion. The study concludes with recommendations for sustainable land use practices like soil conservation, crop diversification and improved varieties to adapt to climate change impacts
The Accelerating Impact of CGIAR Climate Research for Africa (AICCRA) project works to deliver a climate-smart African future driven by science and innovation in agriculture.
AICCRA does this by enhancing access to climate information services and climate-smart agricultural technology to millions of smallholder farmers in Africa.
With better access to climate technology and advisory services—linked to information about effective response measures—farmers can better anticipate climate-related events and take preventative action that help communities better safeguard their livelihoods and the environment.
AICCRA is supported by a grant from the International Development Association (IDA) of the World Bank, which is used to enhance research and capacity-building activities by the CGIAR centers and initiatives as well as their partners in Africa.
About IDA: IDA helps the world’s poorest countries by providing grants and low to zero-interest loans for projects and programmes that boost economic growth, reduce poverty, and improve poor people’s lives.
IDA is one of the largest sources of assistance for the world’s 76 poorest countries, 39 of which are in Africa.
Annual IDA commitments have averaged about $21 billion over circa 2017-2020, with approximately 61 percent going to Africa.
This presentation was given on 27 October 2021 by Mengpin Ge, Global Climate Program Associate at WRI, during the webinar "Achieving NDC Ambition in Agriculture" organized by CCAFS, FAO and WRI.
Find the recording and more information here: https://bit.ly/AchievingNDCs
More Related Content
Similar to Webinar: Manual launch for Participatory Integrative Climate Information Services for Agriculture (PICSA)
The USDA Midwest Climate Hub provides resources and tools to help agricultural producers and natural resource managers build resilience to climate change. The Hub develops and delivers science-based, region-specific information through research partnerships and information sharing. Its goal is to help Midwest agricultural producers cope with climate change through research, education, and partnerships. The Hub makes climate and weather data, monitoring tools, and other resources available on its website.
This document discusses seasonal climate forecasting and agriculture in Victoria. It notes that key climate drivers like ENSO, IOD, SAM and STR influence Victoria's rainfall variability. Seasonal forecasts provided by DEDJTR have helped farmers make risk management decisions like adjusting stocking rates. However, improving climate literacy so farmers understand forecasts better is also important. The document advocates creating a "mindset for adaptation" to help farmers manage climate variability and change.
Not forgetting the forests for the trees: The art and science of useful impac...World Agroforestry (ICRAF)
This presentation from the International Initiative for Impact Evaluation (3ie) was part of ICRAF's Agroforestry Development Impact Seminar (ADIS) series.
GFW_Deforestation Exposed Using High Resolution Satellite Imagery to Investig...Global Forest Watch
Thanks to the Norwegian Government, Norway’s International Climate & Forests Initiative (NICFI) launched their Satellite Data Program in September 2020 to power projects working to reduce and reverse tropical forest loss. Under this program Global Forest Watch (GFW) users can access Planet’s high-resolution, analysis-ready mosaics of the world’s tropics to reduce and reverse deforestation, combat climate change and more.
During this webinar, we will provide an overview of the satellite imagery and resources available on GFW. We will be joined by program leads from Kongsberg Satellite Services (KSAT) along with partners from Planet to share how this satellite imagery can help users investigate what’s happening in the world’s forests.
We will also highlight voices from local advocacy groups and media outlets. Don’t miss presentations from Mighty Earth, Reporter Brasil and SOS Orinoco on how they use this imagery in their investigations to expose unauthorized deforestation.
This webinar is the first in a series of virtual events this year celebrating Voices of Global Forest Watch.
A decade ago, the launch of GFW ushered in a new era of accountability and transparency around monitoring and protecting the world's forests. To celebrate 10 years of impact, our Voices of Global Forest Watch series will highlight successes of GFW users, partners and community members through videos, stories and events throughout the year. This event will be hosted in English with simultaneous interpretation to Spanish.
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/
This study analyzed the economic impacts of cover crops on cash crop yields using data from 20 farmers in central and northeastern Indiana over 640 field-years. Results showed no significant effects of cover crops on corn or soybean yields after controlling for weather and fertilizer use. However, farmers using cover crops for 3 or more years showed a positive but not statistically significant effect on soybean yields. The study aims to provide more conclusive data on cover crop costs and benefits to encourage farmer adoption, though larger and longer-term data may still be needed.
Remote sensing based drought tolerant maize targeting in SSA CIMMYT
Remote sensing –Beyond images
Mexico 14-15 December 2013
The workshop was organized by CIMMYT Global Conservation Agriculture Program (GCAP) and funded by the Bill & Melinda Gates Foundation (BMGF), the Mexican Secretariat of Agriculture, Livestock, Rural Development, Fisheries and Food (SAGARPA), the International Maize and Wheat Improvement Center (CIMMYT), CGIAR Research Program on Maize, the Cereal System Initiative for South Asia (CSISA) and the Sustainable Modernization of the Traditional Agriculture (MasAgro)
Presentation was made by Dr. Issa Ouédraogo CINSERE/USAID/CCAFS West Africa at the WASCAL Science Symposium, 19-21 June 2018, Tang Palace Hotel, Accra, Ghana
This document summarizes Bhutan's progress in developing a National Adaptation Plan (NAP). It outlines Bhutan's rapid stocktaking process to identify what information is available and where gaps exist to inform the NAP formulation. Key vulnerabilities from climate change include dependence on agriculture and hydropower, and increased risks from disasters. The document discusses framing the NAP in line with sustainable development goals. It also outlines some initial adaptation strategies for sectors like agriculture and hydroenergy to address vulnerabilities from shifts in rainfall and production variability.
This document summarizes a project assessing the adaptation of agroecosystems to climate change at the edge of the U.S. Cornbelt. The project has multiple objectives: 1) characterizing climate change patterns relevant to Dakotas agriculture; 2) developing methods to identify relocation of production systems; 3) surveying sensitive areas; and 4) modeling climate and other drivers of new production systems. Historical land use data from 1984-2011 shows expansion of corn and soybeans and contraction of wheat and alfalfa. Preliminary projections suggest more wheat acres west and more corn/soybeans east of the Missouri River due to climate trends. A survey of 3,000 farm operators found extensive land use conversion from grass
The document summarizes the key activities and progress of a grant received by NARL/NARO from the Rockefeller Foundation to strengthen their capacity to develop climate change adaptation interventions and policy recommendations in African agriculture. Some of the main activities included establishing a steering committee, raising awareness workshops, training researchers on data analysis, documenting climate data, testing adaptation technologies, and developing policy recommendations. Progress included forming the steering committee, developing a strategy, conducting sensitization, training technicians, establishing weather stations, and starting competitive grant projects. Early findings from projects were also presented.
Breakout Sessions Slide
Predictive Soil Health Economic Calculator: An Overview – Chellie Maples, Dr. Michelle Perez, and Ben Wiercinski discussed the Excel-based Predictive Soil Health Economic Calculator (P-SHEC) Tool to generate short & long-term estimates of soil health practice use in row crops.
Monday, February 12, 4:35 - 5:00 p.m.
This document discusses emerging opportunities to deliver relevant weather and climate information and services to smallholder farmers at scale. It outlines the need for spatially and temporally detailed historical, monitored, predicted, and projected climate data. Participatory approaches like PICSA can help communicate this information and support farmers' decision making. Effective partnerships are needed between meteorological agencies, researchers, extension services, and the private sector to generate localized climate data, train intermediaries, and ensure information reaches farmers through various communication channels. With improved access to actionable climate information and support systems, smallholder farmers' food security and livelihoods can be enhanced.
This document discusses the development of a pilot surface water forecasting tool for Glasgow, Scotland to be used operationally during the 2014 Commonwealth Games. A multi-organization team created a methodology and technical model setup to forecast heavy rainfall and surface water flood risk. The tool provided probabilistic forecasts during the Games and helped responders manage weather-related risks. The pilot demonstrated the potential for linking scientific forecasting with operational needs.
North Kingstown, Rhode Island—Municipal Assessment and Adaptation Strategies. Showcase a model for Rhode Island municipalities for assessing climate change and strategies for long-term planning presented by Teresa Crean, URI Coastal Resources Center/Rhode Island Sea Grant
Think tank 1 - West Toowoomba land use investigation studyToowoomba Region
This document discusses stakeholder engagement for a project planning the future development of the West Toowoomba region over the next 100 years. It outlines the project stages, including gathering background information, investigating the study area, and determining preferred land uses. Key issues identified include natural environment, agriculture, infrastructure, and economic development. The project will create a long-term strategic directions plan and more detailed neighborhood plans to guide development. Stakeholders are encouraged to provide input through meetings and online engagement opportunities.
Think Tank 1 - West Toowoomba land use investigation studyToowoomba Region
This document discusses stakeholder engagement for a project planning the future development of the West Toowoomba region over the next 100 years. It outlines the project stages, including gathering background information, investigating the study area, and determining preferred land uses. Key issues identified include natural environment, agriculture, infrastructure, and economic development. The project will create a long-term strategic directions plan and more detailed neighborhood plans to guide development. Stakeholders will have opportunities to provide input through community meetings and online engagement.
This presentation was made by Dr. Issa Ouédraogo Coordinator project CINSERE/USAID/CCAFS West Africa at the WASCAL Science Symposium, 19-21 June 2018, Tang Palace Hotel, Accra, Ghana
Crop suitability assessment under the perspective of climate change: a case s...Abdul Samad Nabizada
This document summarizes a study assessing the impact of climate change on crop suitability in Niger. The study analyzed changes in land suitability for major crops like sorghum, millet, cowpea and onion under historical climate (1970-2000) and future projections for 2050 and 2070 under RCP 2.6, 4.5 and 8.5 scenarios. Results showed increases in average temperature of 2.2-2.7°C and decreases in precipitation. Land suitability is projected to decrease for cowpea and increase for sorghum, millet and onion. The study concludes with recommendations for sustainable land use practices like soil conservation, crop diversification and improved varieties to adapt to climate change impacts
The Accelerating Impact of CGIAR Climate Research for Africa (AICCRA) project works to deliver a climate-smart African future driven by science and innovation in agriculture.
AICCRA does this by enhancing access to climate information services and climate-smart agricultural technology to millions of smallholder farmers in Africa.
With better access to climate technology and advisory services—linked to information about effective response measures—farmers can better anticipate climate-related events and take preventative action that help communities better safeguard their livelihoods and the environment.
AICCRA is supported by a grant from the International Development Association (IDA) of the World Bank, which is used to enhance research and capacity-building activities by the CGIAR centers and initiatives as well as their partners in Africa.
About IDA: IDA helps the world’s poorest countries by providing grants and low to zero-interest loans for projects and programmes that boost economic growth, reduce poverty, and improve poor people’s lives.
IDA is one of the largest sources of assistance for the world’s 76 poorest countries, 39 of which are in Africa.
Annual IDA commitments have averaged about $21 billion over circa 2017-2020, with approximately 61 percent going to Africa.
This presentation was given on 27 October 2021 by Mengpin Ge, Global Climate Program Associate at WRI, during the webinar "Achieving NDC Ambition in Agriculture" organized by CCAFS, FAO and WRI.
Find the recording and more information here: https://bit.ly/AchievingNDCs
This presentation was given on 27 October 2021 by Sabrina Rose, Policy Consultant at CCAFS, during the webinar "Achieving NDC Ambition in Agriculture" organized by CCAFS, FAO and WRI.
Find the recording and more information here: https://bit.ly/AchievingNDCs
This presentation was given on 27 October 2021 by Krystal Crumpler, Climate Change and Agricultural Specialist at FAO, during the webinar "Achieving NDC Ambition in Agriculture" organized by CCAFS, FAO and WRI.
Find the recording and more information here: https://bit.ly/AchievingNDCs
This presentation was meant to be included in the 2021 CLIFF-GRADS Welcome Webinar and presented by Ciniro Costa Jr. (CCAFS).
The webinar recording can be found here: https://youtu.be/UoX6aoC4fhQ
The multilevel CSA monitoring set of standard core uptake and outcome indicators + expanded indicators linked to a rapid and reliable ICT based data collection instrument to systematically
assess and monitor:
- CSA Adoption/ Access to CIS
- CSA effects on food security and livelihoods household level)
- CSA effects on farm performance
The document discusses plant-based proteins as a potential substitute for animal-based proteins. It notes that plant-based proteins are growing in popularity due to environmental and ethical concerns with animal agriculture. However, plant-based meats also present some health and nutritional challenges compared to animal proteins. The document analyzes opportunities and impacts related to plant-based proteins across Asia, including leveraging the region's soy and pea production and tailoring products to Asian diets and cultural preferences.
Presented by Ciniro Costa Jr., CCAFS, on 28 June 2021 at the Asian Development Bank (ADB) Webinar on Sustainable Protein Case Study: Outputs and Synthesis of Results.
Presented by Marion de Vries, Wageningen Livestock Research at Wageningen University, on 28 June 2021 at the Asian Development Bank (ADB) Webinar on Sustainable Protein Case Study: Outputs and Synthesis of Results.
This document assesses the environmental sustainability of plant-based meats and pork in China. It finds that doubling food production while reducing agricultural greenhouse gas emissions by 73% by 2050 will be a major challenge. It compares the life cycle impacts of plant-based meats made from soy, pea, and wheat proteins and oils, as well as pork and beef. The results show that the crop type and source country of the core protein ingredient drives the environmental performance of plant-based meats. The document provides sustainability guidelines for sourcing ingredients from regions with low deforestation risk and irrigation needs, using renewable energy in production, and avoiding coal power.
This document summarizes a case study on the dairy value chain in China. It finds that milk production and consumption have significantly increased in China from 1978 to 2018. Large-scale dairy farms now dominate production. The study evaluates greenhouse gas emissions from different stages and finds feed production is a major contributor. It models options to reduce the carbon footprint, finding improving feed practices and yield have high potential. Land use is also assessed, with soybean meal requiring significant land. Recommendations include changing feeds to lower land and carbon impacts.
This document summarizes information on the impacts of livestock production globally and in Asia. It finds that livestock occupies one third of global cropland and one quarter of ice-free land for pastures. Asia accounts for 32% of global enteric greenhouse gas emissions from livestock, with most emissions coming from India, China, Pakistan, and Bangladesh. Rapid growth of livestock production in Asia is contributing to water and air pollution through nutrient runoff and emissions. The document discusses opportunities for public and private investment in more sustainable and climate-friendly livestock systems through technologies, monitoring, plant-based alternatives, and policies to guide intensification.
Presentation by Han Soethoudt, Jan Broeze, and Heike Axmann of Wageningen University & Resaearch (WUR).
WUR and Olam Rice Nigeria conducted a controlled experiment in Nigeria in which mechanized rice harvesting and threshing were introduced on smallholder farms. The result of the study shows that mechanization considerably reduces losses, has a positive impact on farmers’ income, and the climate.
Learn more: https://www.wur.nl/en/news-wur/show-day/Mechanization-helps-Nigerian-farms-reduce-food-loss-and-increase-income.htm
Presentation on the rapid evidence review findings and key take away messages.
Current evidence for biodiversity and agriculture to achieve and bridging gaps in research and investment to reach multiple global goals.
The document evaluates how climate services provided to farmers in Rwanda through programs like Participatory Integrated Climate Services for Agriculture (PICSA) and Radio Listeners’ Clubs (RLC) have impacted women and men differently, finding that the programs have increased women's climate knowledge and participation in agricultural decision making, leading to perceived benefits like higher incomes, food security, and ability to cope with climate risks for both women and men farmers.
This document provides an introduction to climate-smart agriculture (CSA) in Busia County, Kenya. It defines CSA and its three objectives of sustainably increasing agricultural productivity and income, adapting and building resilience to climate change, and reducing and/or removing greenhouse gas emissions. It discusses CSA at the farm and landscape scales and provides examples of CSA practices and projects in Kenya. It also outlines Kenya's response to CSA through policies and programs. The document describes prioritizing CSA options through identifying the local context, available options, relevant outcomes, evaluating evidence on options' impacts, and choosing best-bet options based on the analysis.
1) The document outlines an action plan to scale research outputs from the EC LEDS project in Vietnam. It identifies key activities to update livestock feed databases and software, improve feeding management practices, develop policies around carbon tracking and subsidies, and raise awareness of stakeholders.
2) The plan's main goals are to strengthen national feed resources, update the PC Dairy software, build greenhouse gas inventory systems, and adopt standards to reduce emissions in agriculture and the livestock industry.
3) Key stakeholders involved in implementing the plan include the Department of Livestock Production, universities, and ministries focused on agriculture and the environment.
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
Reimagining Your Library Space: How to Increase the Vibes in Your Library No ...Diana Rendina
Librarians are leading the way in creating future-ready citizens – now we need to update our spaces to match. In this session, attendees will get inspiration for transforming their library spaces. You’ll learn how to survey students and patrons, create a focus group, and use design thinking to brainstorm ideas for your space. We’ll discuss budget friendly ways to change your space as well as how to find funding. No matter where you’re at, you’ll find ideas for reimagining your space in this session.
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
2. Acknowledgements
• University of Reading
• CCAFS
• Rockefeller Foundation
• Nuffield Foundation
• National Meteorological
Services
• Government extension
services
• GFCS
• WFP
• NGOs especially Oxfam,
ADRA Ghana, Practical
Action
• IFAD
• AIMS
• ICRISAT
• ICRAF
• and many others!
3. Structure of the launch event
• An overview of PICSA
• The role of meteorological data and national
Met. Services in PICSA
• Preparing for PICSA
• Short video of work in Ghana
6. • Lesotho
• Zambia
• Mali
• Rwanda
• Zimbabwe
• Tanzania
• Kenya
• Malawi
• Ghana
7. Long Before
the Season
Historical
Climate Data
sans sequence seches (10 jours dans 21)
gfedcb
Premiere date pour le semi
gfedcb
2010
2000
1990
1980
1970
1960
1950
1940
1930
13 Jul
28 Jun
13 Jun
29 May
14 May
29 Apr
Seasonal Forecasts from http://rava.qsens.net/themes/climate_template/seasonal-forecasts/
During the
Season
Short-term
Forecasts & Warnings
Just Before
the Season
Seasonal
Forecast & Revise
Plans
Participatory Planning
Shortly After
the Season
Review weather,
production, forecasts &
process
Crop + Livestock
Options
10. Long Before
the Season
Historical
Climate Data
sans sequence seches (10 jours dans 21)
gfedcb
Premiere date pour le semi
gfedcb
2010
2000
1990
1980
1970
1960
1950
1940
1930
13 Jul
28 Jun
13 Jun
29 May
14 May
29 Apr
Seasonal Forecasts from http://rava.qsens.net/themes/climate_template/seasonal-forecasts/
During the
Season
Short-term
Forecasts & Warnings
Just Before
the Season
Seasonal
Forecast & Revise
Plans
Participatory Planning
Shortly After
the Season
Review weather,
production, forecasts &
process
Crop + Livestock
Options
11. Long Before
the Season
Historical
Climate Data
sans sequence seches (10 jours dans 21)
gfedcb
Premiere date pour le semi
gfedcb
2010
2000
1990
1980
1970
1960
1950
1940
1930
13 Jul
28 Jun
13 Jun
29 May
14 May
29 Apr
Seasonal Forecasts from http://rava.qsens.net/themes/climate_template/seasonal-forecasts/
Participatory Planning
Crop + Livestock
Options
16. Dodoma: Annual Total rainfall
Year
2010200520001995199019851980197519701965196019551950194519401935
1100
1000
900
800
700
600
500
400
300
Steps B & C – Historical climate
information
20. Steps B & C– Historical climate
information
Provides essential information farmers don’t
have access to - for making decisions
• Seasonal totals
• Dates of start of rains
• Dates of end of season
• Season length
• Occurrence of dry spells
• etc
• ‘What is the variability here?
22. Steps B & C– Historical climate
information
• Explore with farmers whether there are
any trends to be seen in the graphs
• If there are differences between
perceptions and the graphs then consider
why
23. Dodoma: Annual Total rainfall
Year
2010200520001995199019851980197519701965196019551950194519401935
1100
1000
900
800
700
600
500
400
300
Steps B & C – Historical climate
information
25. Steps B & C– Historical climate
information
Provides essential information farmers don’t
have access to - for making decisions
• Seasonal totals
• Dates of start of rains
• Dates of end of season
• Season length
• Occurrence of dry spells etc
• What is the variability here?
• Risks e.g. ‘1 year out of 3 can expect
rainfall of more than 500mm’.
28. Example of a crop table
(not real values)
Crop Variety Days to
maturity
Crop water
requirement
Chance of
sufficient
rainfall if
season starts
on x (Early)
Chance of
sufficient
rainfall if
season starts
on x (Middle)
Chance of
sufficient
rainfall if
season starts
on x (Late)
Maize Local 120 480 5/10 4/10 2/10
Maize Pioneer
xxx
100 350 7/10 5/10 4/10
Sorghum Seed Co
xxx
110 300 5/10 7/10 6/10
29. Step D – What are the farmers options
• Crop options
• Livestock options
• Livelihood options
33. Steps E to G – the farmer compares
and decides which options to try
• Options by context
• Compare different options using
participatory budgets
• Farmers make individual decisions
34.
35. Long Before
the Season
Historical
Climate Data
sans sequence seches (10 jours dans 21)
gfedcb
Premiere date pour le semi
gfedcb
2010
2000
1990
1980
1970
1960
1950
1940
1930
13 Jul
28 Jun
13 Jun
29 May
14 May
29 Apr
Seasonal Forecasts from http://rava.qsens.net/themes/climate_template/seasonal-forecasts/
Participatory Planning
Crop + Livestock
Options
36. Long Before
the Season
Historical
Climate Data
sans sequence seches (10 jours dans 21)
gfedcb
Premiere date pour le semi
gfedcb
2010
2000
1990
1980
1970
1960
1950
1940
1930
13 Jul
28 Jun
13 Jun
29 May
14 May
29 Apr
Seasonal Forecasts from http://rava.qsens.net/themes/climate_template/seasonal-forecasts/
Just Before
the Season
Seasonal
Forecast & Revise
Plans
Participatory Planning
Crop + Livestock
Options
37. Steps H & I: The seasonal forecast
• Understanding and interpreting the seasonal
forecast
• Leaving plans unchanged or adjusting them
39. Long Before
the Season
Historical
Climate Data
sans sequence seches (10 jours dans 21)
gfedcb
Premiere date pour le semi
gfedcb
2010
2000
1990
1980
1970
1960
1950
1940
1930
13 Jul
28 Jun
13 Jun
29 May
14 May
29 Apr
Seasonal Forecasts from http://rava.qsens.net/themes/climate_template/seasonal-forecasts/
During the
Season
Short-term
Forecasts & Warnings
Just Before
the Season
Seasonal
Forecast & Revise
Plans
Participatory Planning
Crop + Livestock
Options
40. Steps J & K: Short term forecasts and warnings
• Understanding and interpreting short-term
forecasts and warnings – what do SMS
texts mean – local languages & signs
• Fitting in and building on existing initiatives
• Farmers adjusting plans or reacting to and
using new information for management
41. Long Before
the Season
Historical
Climate Data
sans sequence seches (10 jours dans 21)
gfedcb
Premiere date pour le semi
gfedcb
2010
2000
1990
1980
1970
1960
1950
1940
1930
13 Jul
28 Jun
13 Jun
29 May
14 May
29 Apr
Seasonal Forecasts from http://rava.qsens.net/themes/climate_template/seasonal-forecasts/
During the
Season
Short-term
Forecasts & Warnings
Just Before
the Season
Seasonal
Forecast & Revise
Plans
Participatory Planning
Shortly After
the Season
Review weather,
production, forecasts &
process
Crop + Livestock
Options
42. Step L: Learn and improve
• Support throughout the process
• Monitoring and evaluation
• Review and improve
43.
44.
45.
46.
47. Components of PICSA
Farmers
• Challenges
• Opportunities
Climate
Information
• Historical Records
• Forecasts
Participatory
Decision
Making Tools
Options
• Crops
• Livestock
• Livelihoods
‘The Farmer Decides’ ‘Options by Context’
49. The role of meteorological data and
National Met. Services in PICSA
Roger Stern,
Statistical Services Centre (SSC), Reading
(r.d.stern@reading.ac.uk)
51. Long Before
the Season
Historical
Climate Data
sans sequence seches (10 jours dans 21)
gfedcb
Premiere date pour le semi
gfedcb
2010
2000
1990
1980
1970
1960
1950
1940
1930
13 Jul
28 Jun
13 Jun
29 May
14 May
29 Apr
Seasonal Forecasts from http://rava.qsens.net/themes/climate_template/seasonal-forecasts/
During the
Season
Short-term
Forecasts & Warnings
Just Before
the Season
Seasonal
Forecast & Revise
Plans
Participatory Planning
Shortly After
the Season
Review weather,
production, forecasts &
process
Crop, Livestock +
Livelihood Options
PICSA
52. Seasonal Forecasts from http://rava.qsens.net/themes/climate_template/seasonal-forecasts/
During the
Season
Short-term
Forecasts &
Warnings
Just Before
the Season
Seasonal
Forecast
Shortly After
the Season
Review weather,
production, forecasts &
process
Possible climate service projects
Remain in the NMS
“comfort zone”.
And maybe add
some automatic
stations.
Better 10-day bulletin
Start with the NMS
as a key partner!
53. Seasonal Forecasts from http://rava.qsens.net/themes/climate_template/seasonal-forecasts/
During the
Season
Short-term
Forecasts & Warnings
Just Before
the Season
Seasonal
Forecast & Revise
Plans
Shortly After
the Season
Review weather,
production, forecasts &
process
Possible climate service projects
Emphasise the
“demand side”
Start with the NMS
as a key partner!
When do the
rains start?
Are dry spells
getting longer?
How long is the
season?
54. Long Before
the Season
Historical
Climate Data
sans sequence seches (10 jours dans 21)
gfedcb
Premiere date pour le semi
gfedcb
2010
2000
1990
1980
1970
1960
1950
1940
1930
13 Jul
28 Jun
13 Jun
29 May
14 May
29 Apr
Seasonal Forecasts from http://rava.qsens.net/themes/climate_template/seasonal-forecasts/
Emphasise Options
by Context – O by C
As opposed to fixed
“recommendations”
Extensive use of
the historical data
The daily data are
needed for this.
Participatory Planning
Livelihoods and
livestock options, not
just crops
Crop, Livestock +
Livelihood Options
PICSA – what’s different?
The participatory
approaches
Just Before
the Season
During the
Season
Shortly After
the Season
By the Met
Service
55. Components of PICSA
Farmers
• Challenges
• Opportunities
Climate
Information
• Historical Records
• Forecasts
Participatory
Decision
Making Tools
Options
• Crops
• Livestock
• Livelihoods
‘The Farmer Decides’ ‘Options by Context’
56. Components of PICSA
Farmers
• Challenges
• Opportunities
Climate
Information
• Historical Records
• Forecasts
Participatory
Decision
Making Tools
Options
• Crops
• Livestock
• Livelihoods
‘The Farmer Decides’ ‘Options by Context’
57. Climate information projects and the NMS
• Try to ignore the NMS?
• Or
• Just ask for (historical) data and forecasts?
• Or
• Include the NMS as a key partner?
• PICSA includes the NMS
– And does not ask for data!
– We can provide capacity building
58. ICRISAT/ILRI project for ASARECA
• Project from 2006 to 2009
• Involved each NMS right
from the start
• Not always easy!
• Conclusion was:
The strategy was sound. We
need to try harder!
See also “Lessons Learned”
Coe and Stern: Exp. Agriculture 2011
68. Role of NMS
• Not asking for data
– NMS staff do the analyses to produce the graphs
– They also present the graphs at the workshops
• Success story – Ghana Met Service (Gmet)
– The GMet staff worked closely with AIMS Ghana
graduates
– See https://www.aims.edu.gh/
– Other AIMS centres may help with this formula?
69. Long Before
the Season
Historical
Climate Data
sans sequence seches (10 jours dans 21)
gfedcb
Premiere date pour le semi
gfedcb
2010
2000
1990
1980
1970
1960
1950
1940
1930
13 Jul
28 Jun
13 Jun
29 May
14 May
29 Apr
Seasonal Forecasts from http://rava.qsens.net/themes/climate_template/seasonal-forecasts/
Just Before
the Season
Seasonal
Forecast & Revise
Plans
Participatory Planning
Crop, Livestock +
Livelihood Options
PICSA
Now move to the second
stage
This is the Seasonal Forecast
The NMS remains the key
partner.
This forecast can modify the
baseline risks for the activities
previously specified by the
farmers
70. SEASONAL FORECAST
A
KEY
Above Normal
Normal
Below Normal
25
40
35
Akus
e
Takorad
i
Tema
Abetifi
Ada
Akim
Oda
Axim
Bole
Ho
Kete-
Krachi
Koforidua
Navrongo
Saltpon
d
Sefwi
Bekwai
Wa
Wenchi
Yendi
Accra
Sunyan
i
Tamal
e
D
30
40
30
C
35
40
25
B
25
35
40
2015 Seasonal Forecast (GMET)
• Presented like this in
most countries
• We find it to have 3
limitations:
– What – 3-months
– Where – large area
– How – terciles
• Good if the 3 are
improved
71. Possible improvements with NMS work
• Data management and analysis
– CLIMSOFT, CLIDATA
– Data “rescue” – WMO
– Usually custodians rather than analysts
– Analysis shows issues with data
• Excellent goodwill to improve
– Supported by WMO, UKMO and others
• Data in much better “shape than other areas
– e.g. agricultural research data?
72. Improving the network
• One issue with possible scaling out
– Lack of data from a close station
• Possible solution
– Merge station data with satellite estimates
– Satellite data are from about 1983
– ENACTS at IRI and TAMSAT at Reading
– They are working well together!
77. ACTIVITIES
FOR PICSA
Scoping &
Engagement
Planning with
Key Service
Providers
Analysis of
Historical
Climate
Information
Identification of
Crop, Livestock
& Livelihood
Options
Adapting
Training
Materials to
Local Contexts
Training of
Field Staff &
Managers
Implementation
by Field Staff,
Radio & SMS
Monitoring &
Evaluation
Reflection,
Learning &
Opportunities
Preparatory Activities
Implementation
78. Components of PICSA
Farmers
• Challenges
• Opportunities
Climate
Information
• Historical Records
• Forecasts
Participatory
Decision
Making Tools
Options
• Crops
• Livestock
• Livelihoods
‘The Farmer Decides’ ‘Options by Context’
79. Some conclusions
• Farmers value and are using the climate
information
• Not just climate as a cause of problems and
opportunities
• Enabled to look at options that fit farmers
situations
• Changes in behaviours – varieties, crops,
livelihoods, use of tools
• Seems to fit well with extension and NGO
activities and aims
80. Some conclusions – final thoughts
• How to scale up and achieve sustainability
• The importance of complimentary services
and activities e.g. access to seed
• Learning and adapting, and for local
situations
• Further areas of research and development
2011, Developed in Zimbabwe, Piloted and improved in Tanzania and Kenya, Gone to greater scale in Tanzania, Ghana and Malawi
Continually adapting & improving
So what is PICSA – providing information and services to smallholders, ahead of and during the season, mainly by extension and NGO field staff, complimented by radio and SMS
Farmers have many difficulties- one of these is climate
Manual. A-G are the steps that field staff do with groups of farmers (say 4 meetings) before the season
Farmer meetings, literate and non / semi literate
What are the farmer’s main resources and activities
What aspects of climate and weather affect the balance of the livelihoods that farmers’ use
What key decisions that farmers make are influenced by the weather – eg in crops, and how can we help
How is this different for different farmers, i.e. gender, wealth and farming systems
As above – but helps identify what key decisions that farmers make are influenced by the weather - and when – eg in crops and cop management
Current situation, effects of weather and climate, what kinds of information and activities may be useful
Standard set of graphs – farmers interpret relatively easily – vertical axis is amount and horizontal always is years
Emphasise these uses
Emphasise these uses
Stick a ruler over the top – and count ….
Many egs – rainfall starts on date x, chances of no dry spells before seedlings emerged, chances of season length of x days...
FARMERS worked out probabilities (see graph)
For field staff to use in field – with farmers. After field staff had 1 week training course….
And sustainable and scalable –
Overall people see to like it – farmers, NGOs and extension staff
Continues to be work in progress – learning, improving – particularly around scaling out new areas in Qs time