Cassava farmers’ perception on climate change: A case study in Van Yen district, Yen Bai province
Situated in the Northern Mountain Region, one of the most climatevulnerable regions of Vietnam, Yen Bai province is exposed to many
climate risks. This study investigated how well Yen Bai farmers were
aware of the impacts of the changing climate on production and their
livelihoods and how they referred support programs from the central
and local governments to make decisions on adaptation and resilience
strategies. Data were collected through direct interviews of 488 cassava
households in six communes of Van Yen district. Descriptive statistics,
One-way ANOVA, and Chi-square test were used to statistically analyze
the data. In addition, we employed the Partial Least Square Structural
Equation Modelling (PLS-SEM) to study the relationships of three
identified independent variables: (i) understanding of support
programs/policies; (ii) access to weather information; and (iii)
experience of climate risks and impacts, and farmers’ perceptions of
climate impacts. Results from the PLS-SEM model showed that
farmers with higher positive scores in the three independent variables
above had better perceptions of climate change and its possible
impacts, from which better adaptation decisions and strategies could
be derived. These research findings emphasized the need for
improving the understanding of climate change that could impact
farmers’ livelihoods, farmers’ access to accurate near-time and
medium-term weather forecasts, and thoroughly using local
knowledge on climate risks and effective native adaptation measures
for better adaptation and mitigation strategies and actions in rural
climate-vulnerable communities in Vietnam.
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Tóm tắt nội dung tài liệu: Cassava farmers’ perception on climate change: A case study in Van Yen district, Yen Bai province
ther information providers and multiple communication channels, this situation might create a complex and dynamic information environment. Farmers’ experiences encountering extreme weather events Van Yen has a high level of vulnerability to climate risks, mainly hot spells, acid rain, drought, and cold spells. They have been greatly affecting socio-economic activities and human safety there (Bui et al., 2020). Figure 4 lists some impacts of climate phenomena in the study area. A larger number of farmers (84.43%) pointed out that hot spells had Cassava farmers’ perception on climate changes: A case study in Van Yen district, Yen Bai province 708 Vietnam Journal of Agricultural Sciences Figure 5. Significant pathways in the structural equation model serious impacts on theire livelihood. Two farmers stated that “In summer 2019, many trees died due to temperatures reaching 40°C’ (male, 45); ‘heat has an effect on livestock, as buffalos do not want to graze and spend time in the shade’. Approximately 60% of the surveyed households responded that droughts were having negative effects on agricultural systems, lives, and livelihoods alike. The following quotes illustrate some of the famers’ responses “In the first quarter of 2019, a period when plants needed a lot of water to grow, I could not irrigate due to lack of rain” (male, 55); “rice seedlings had withered due to drought” (female, 43); ‘it was hard for me to irrigate proactively as there was no rain at all in early 2019’ (female, 35). More than 80% of the interviewees reported that acid rain had a weaker influence on their livelihoods. Some said acid rains had negative impacts on production, such as changed leaf color of grapefruit and oranges, finally destroying the harvests. Structure equation model SEM results (Figure 5) show that the model is compatible with data research and conceptual framework. Overall, weather-related information had the largest influence on farmers' perception of climate change (β = 0.277, P< 0.05). That is, the more weather forecast information they received, the more they perceived about climate change. This result is in line with a previous finding (Bloodhart et al., 2015). Moreover, whether farmers perceived climate phenomena impacts and whether they were aware of government implementations about climate change adaptation positively influenced farmers’ perception of climate change (β = 0.268, P< 0.05; and β = 0.119, P< 0.05, respectively). These findings correlate fairly well with those of Van der Linden (2014) and Myers et al. (2013). Household wealth rank had a larger direct effect on farmers’ understanding of policies related to climate change mitigation and adaptation (β = 0.223, P< 0.05) than farmers’ perception of Nguyen Hai Nui et al. (2020) https://vjas.vnua.edu.vn/ 709 climate change (β = 0.119, P< 0.05). This finding indicates that well-off farmers had a better understanding of climate change and government supports to tackle climate change. Conclusions The results of this study showed that cassava farmers, in general, perceived climate change’s existence and its impacts. Among the three independent variables, accessibility to weather information had the greatest influence on farmers’ perceptions (marginal value = 0.277), followed by farmers’ experience of extreme weather events (0.268) and their knowledge of supporting programs/policies/projects (0.119). Understanding these relationships is important for future relevant research. Farmers received climate information quite often. However, only a few of them were aware of adaptation plans at the district level. They also needed accurate weather information for farming activities while many were not satisfied with the quality of weather information they received on the daily basis. Based on this, we recommend that weather forecasts should be downscaled to be more location-specific. The research findings also suggested the investigation of farmers’ perceptions of climate change and climate impacts prior to conducting priority setting for adaptation and mitigation measures to enhance adaptive capacity and resilience of farmers in climate-vulnerable regions in New Rural Development’s 2021-2030 Strategy. Acknowledgements This study was jointly funded by: The Climate Change, Agriculture and Food Security (CCAFS) for Southeast Asia through the C-2019-148 research project “Impact assessment of a local seventeen-year initiative on conservation agriculture on sloping cassava plantations, as a climate-smart agricultural (CSA) practice, in Van Yen district of Yen Bai province”. 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