Farmers’ knowledge, attitudes and perceptions towards timber out-grower schemes in selected districts of Malawi

Timber out-grower schemes have proved to be one of the most profitable enterprises for rural households. No wonder, several analysts and researchers regard them as an alternative model to avoid problems of displacement and create ‘win-win’ outcomes for both rural communities and private investors in forestry. However, understanding farmers’ knowledge, attitudes and perceptions towards tree out-grower schemes plays a key role in farmers’ adoption of the interventions. This study examined these farmers’ attributes towards out-grower schemes in selected districts of Malawi. Data were collected from 300 farmers who were randomly selected between September and October 2017 through semi-structured interviews and focus group discussions. The results revealed that 82% of the respondents participated in timber out-grower schemes, piloted by WVI and ICRAF. Based on a median score of 4.75 (IQR 4–5), respondents were strongly agreed on their knowledge on timber out-grower schemes as a basis for adopting the intervention. Using the cumulative Cube-root frequency method of stratification, the results revealed that more than half (51%) of the respondents belonged to the high category, and thus had high knowledge of timber out-grower schemes, whereas 32% and 17% had very high and medium levels of knowledge, respectively. The study also revealed that 79.3% of the respondents had a positive attitude towards out-grower schemes. Pearson correlation analysis revealed a positive, significant relationship between marital status (r = 0.081), household size (r = 0.062), education (r = 0.051) and knowledge of the respondents on timber out-grower schemes. A significant positive relationship was also observed between marital status (r = 0.156), household size (0.178), education (0.002), ethnic group (0.151) and attitudes of the respondents towards timber out-grower schemes. However, a negative relationship between knowledge and attitude was revealed (r = −0.534). The study therefore concludes that socio-economic factors, such as gender, education, ethnic group and household size, should be considered in upscaling timber out-grower schemes in Malawi.The European Unionhttp://www.tandfonline.com/loi/tsfs202020-07-04hj2019Geography, Geoinformatics and Meteorolog

Measurement, reporting and verification of climate-smart agriculture: Change of perspective, change of possibilities?

The World Agroforestry Centre (ICRAF), Unique Forestry and Land Use and Vuna have been working with stakeholders in four countries in eastern and southern Africa (Tanzania, Malawi, Zambia and Zimbabwe) to assess the current state of national CSA M&E and to set out country-specific roadmaps for developing systems for monitoring and reporting on CSA. The project took a country-driven approach to documenting stakeholders’ information needs, exploring how to build on and align with existing M&E systems and international reporting frameworks, and encouraging cross-country comparisons. Though the research was grounded in southern Africa, these lessons are applicable to CSA and other topic-driven initiatives (such as land restoration and the Bonn Challenge) across similar environments and social contexts on the continent and around the world. Here we detail three key findings from the assessment

Mesure, notification et vérification de l’agriculture intelligente face au climat: changement de perspective, changement de possibilités ? Conclusions de l’auto-évaluation nationale des besoins, systèmes et opportunités

Depuis 2009, des milliards de dollars ont été investis dans des programmes d’AIC dans le but d’aider les petits exploitants à augmenter leur productivité tout en s’adaptant aux changements climatiques et en contribuant à les atténuer. Cependant, l’AIC a récemment dépassé les cercles de l’aide au développement et de la société civile, et les pays se sont mis à adopter des stratégies d’AIC dans le cadre de leurs politiques et stratégies de riposte aux changements climatiques et de développement agricole, notamment leurs Contributions déterminées au niveau national (CDN)