Climate risk mapping provides rice growers with adaptation options in the Mekong River Delta

The Mekong River Delta in Vietnam accounts for over half of the country’s domestic #rice production yet is increasingly affected by climate change. Dr. Bui Tan Yen is leading a team to develop an approach known as CS-MAP, a participatory approach of climate risk mapping, which provides farmers with adaptation options

Southeast Asia Climate-Smart Villages AR4D sites: 2016 Inventory

Inventory of CSA practises in Southeast Asia's Climate-Smart Villages

Protocol for mapping climate-risks and associated adaptation plans under Asian Mega-Deltas Initiative

The Participatory Mapping method was applied by Vietnam’s Department of Crop Production and the CGIAR Research Program on Climate Change, Agriculture and Food Security – Southeast Asia in designing the approach for Climate-risk mapping and adaptation planning – CS-MAP. Local knowledge is very important in identifying affected area, the level of climate risks and adaptation measures taking into account local contexts (natural resources, infrastructure and production activities). In CS-MAP, spatial and temporal factors are used in analysis following a 5-step process. This protocol describes the detailed process and methods of participatory risk mapping and adaptation planning in cooperation with local stakeholders, adaptable to the contexts of Cambodia and Bangladesh

Scientific data for CS-MAP in Cambodia

The presentation elaborated on the various scientific data used to develop Climate-Smart Mapping and Adaptation Planning (CS-MAP) for Cambodia. These include spatial data for flood risk and drought risk, land cover/land use type, and other spatial data (i.e., administrative boundary, natural resources, satellite images, and topography)

Methane Emission Factors for Rice Production in the Mekong River Delta

This is an info note elaborating on a study of the International Rice Research Institute (IRRI) conducted by Vo et al. (2018) on methane emission from rice cultivation in different agro-ecological zones of the Mekong River Delta, focusing on seasonal patterns and emission factors for baseline water management

Participatory Land Use Planning for Climate-Smart Villages: Guidelines and References

Participatory land-use planning (PLUP) refers to a bottom-up method of analyzing land and water resources. In its current form, PLUP integrates inputs about climate change and sea level rise to help the community utilize the resources within its vicinities. In utilizing its resources, the community will be able to improve the people’s livelihoods and help them sustain such resources for the benefit of the next generations. This publication in implementing PLUP focused on climate-smart adaptation in Climate-Smart Villages (CSVs)

Southeast Asia Climate-Smart Villages AR4D sites: 2017 Inventory

Inventory of the climate-smart agriculture technologies and practices in Southeast Asia's Climate-Smart Villages

Steps in mapping climate-risks and adaptation plans

The presentation discussed the various steps in Climate-Smart Mapping and Adaptation Planning (CS-MAP), such as: defining climate-risks and agriculture products, mapping climate-risks, proposing adaptation plans, revising climate-smart maps and adaptation plans, and map integration at province level

Summary of Baseline Household Survey Results: Vinh Loi district Bac Lieu province Viet Nam

The household baseline survey conducted in December 2014 to January 2015 collected data from 140 households in seven villages, including Tra Hat village, in Bac Lieu province, Vietnam. This is part of the baseline data collection activities in Tra Hat Climate Smart Village of the CGIAR Research Program on Climate Change, Agriculture and Food Security. The objective is to collect household baseline data where data in five or 10 years in the same households will be compared to capture changes that may occur over time. Results showed that the households were highly dependent on farming, particularly rice, for food and income. Farming, however, was characterized by low crop and commercialization index. They diversified income sources by engaging in off-farm work within the area or migrating to other places to find work. The market influenced more farmers’ decisions related to crops, but climate-related factors were becoming significant. Adaptation and mitigation measures need to be enhanced. Providing the farmers with correct information can help them make better decisions about the future. Access to land, increased production, few natural disasters in the area, and improved irrigation were likely the reasons for enough food supply among most of the households

Summary of Baseline Household Survey Results: Ek Phnum district Battambang province Cambodia

The household baseline survey conducted from December 2014 to January 2015 collected data from 140 households in seven villages, including Rohal Suong village, in the Ek Phnum district, Battambang province, Cambodia. This is part of the baseline data collection activities in Rohal Suong Climate Smart Village of CGIAR Research Program on Climate Change, Agriculture and Food Security. The objective is to collect household baseline data where the data to be collected five and 10 years after on the same households will be compared to capture changes that may occur over time. Results showed that the households were highly dependent on farming and small livestock raising for food and income and had access to small landholdings. Households also diversified income sources by engaging in off-farm work, and experienced hunger, especially in the months of October to December. Farming was characterized by low crop and commercialization index. Climate change-related factors, particularly drought and flooding, were the main factors identified to influence farming decisions. Adaptation and mitigation measures need to be enhanced. Information on extreme weather events were commonly available, but not weather forecasts. Providing the farmers with correct information can help them make good farming decisions