Abstract Land-based mitigation technologies and practices (LMTs) are critical for achieving the Paris Agreement’s aim of avoiding dangerous climate change by limiting the rise in average global surface temperatures. We developed a detailed two-level classification and analysis of barriers to the adoption and scaling up of LMTs. The review suggests that afforestation/reforestation and forest management are LMTs with wide application and high potential across all continents.

Farming systems that support locally diverse agricultural production and high levels of biodiversity are in rapid decline, despite evidence of their benefits for climate, environmental health, and food security. Yet, agricultural policies, financial incentives, and market concentration increasingly constrain the viability of diversified farming systems.

Increased reliance on fertilizers and pesticides in rice production has proven unsustainable and ineffective due to soil depletion and pesticide-induced pest outbreaks, rising fertilizer costs, and the negative effects of pesticide and fertilizer use on human health and the environment. The integrated rice-fish system offers a large range of environmental, economic, and social benefits by improving diversification, intensification, profitability, and sustainability through the complementary utilization of land and water uses.

This report was prepared in response to a request from the Vietnamese government, notably that of the Ministry of Agriculture and Rural Development. Its aim is to provide information on the carbon market in general, but also specifically as it relates to forestry, with a focus on blue carbon. This information is intended to support the government to design and implement high quality blue carbon policies, projects and credits.

The agribusiness sector development is often portrayed as an essential component of economic development. Though Benin is a country with inestimable agricultural potential, the agribusiness sector appears unappealing to the local youths. Prior investigations diagnosed the impeding factors as a paucity of financial resource and a dearth of land and technical knowledge. This article departs from past studies by considering the importance of informal institutions for youth participation in the agribusiness sector.

Asia-Pacific Forest Genetic Resources Programme (APFORGEN) is a regional programme and network for the conservation of forest and tree genetic resources. Through its network of geneticists, forestry professionals and funding partners in 15 Asian countries, APFORGEN shares knowledge and good practices, implements multi-country research and development projects, operates a Regional Training Centre and serves as a one-stop-centre on forest and tree genetic resources information and initiatives in the Asia-Pacific.

This document will be used as a reference point in engaging stakeholders to influence policy through the iFEED process. The stakeholders identified will be grouped into working groups based on ratings on areas of interest and positions to integrate iFEED results to influence policies at various levels. Work Package 3 will work closely with stakeholders to organise stakeholder engagements for iFEED by convening and coordinating the activities of working groups.

KEY MESSAGES
â—¼ The integration of local traditional wisdom with academic-scientific knowledge has the potential to generate innovative and more effective solutions to challenges faced by farmers.
â—¼ Adopting co-creation concepts for developing digital innovations can be an alternative to developing digital tools that meet the needs and expectations of farmers and extension agents, hence, fostering a sense of ownership and increasing adoption.

Maize is a staple food, but productivity has stagnated due to limited access to advanced farming methods and knowledge. To promote sustainable agriculture, understanding the factors affecting maize yield at the farm level is crucial. This study used panel data on maize yield and agronomic practices in Northern Ghana and Malawi from 2014 to 2020. Satellite-based environmental variables were extracted at household locations, and Random Forest modeling was used to identify factors influencing maize yield variability.