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While climate services for small-scale farmers are gaining recognition for contributing to adaptation and resilience to climate variability and change, their provision in developing countries remains a critical challenge. Effective climate services consider why and how farmers of varied socioeconomic background make relevant decisions avoiding the traditional prescriptive forms of transfer that merely focus on delivering climate information. Evidence from sub-Saharan Africa shows that climate services for agriculture generates transformations in how farmers access and use climate information, as well as changes in farmer decision-making. In this paper, we address the question of whether the same effect is also seen in Latin America, where farming systems, farming decisions, socioeconomic contexts and non-climate constraints are very different to those of Africa. A group of 209 farmers in the dry corridor in Honduras was studied. We find that 98% of the trained farmers did uptake and use the climate information, and some 73% expressed that the agroclimatic information was key to the success of their harvest despite the challenging 2019 season. Some 43% of the farmers made changes in farming practices. In particular, farmers changed the crop they grew, the crop and land management, the planting dates, inputs and crop varieties. These changes reportedly had positive effects on their food security, and income. These findings support the hypothesis that Participatory Integrated Climate Services for Agriculture (PICSA) plays a positive role in providing effective climate services in Central America, improving decision-making, and enabling farmers to make their own decisions based on the analysis of information and their demands regardless of their level of literacy. We pose that participatory climate services in agriculture can catalyse processes of long-term transformation in farming systems, notably through lifting farmers out of poverty and food insecurity and providing an integrated approach to make informed decisions in the face of climatic variation. [ABSTRACT FROM AUTHOR]

Yield fluctuation is a major risk in all agricultural sectors, and it influences Goal 2 (food security) of the UN SDGs. Yield fluctuations are expected due to climate change, risking stable coffee supplies, and compromising coffee-exporting countries' ability to earn revenue to pay for food imports. Technology minimizing yield fluctuations is crucial for food security and for coffee farmers to earn a stable income. Fluctuations are small if yields remain close to the mean yield trends. In this study, the coffee yields of major producers are analyzed, together with zonal temperature data, to see where coffee is grown with stable technology under rising temperatures; thus, we demonstrate the advantages of the Yield Stability Index (YSI) over traditional stability measurements in guiding policy formulation and managerial decisions. The Yield Stability Index (YSI) is applied for 1961–1994 and 1995–2020, for the world's 12 major coffee-producing countries. The YSI indicates that of the 12 countries, only Indonesia, Honduras, and Mexico maintain stable yield levels, while Brazil and Vietnam considerably improve their yield stability, which traditional stability measures cannot grasp. Country-wise differences exist in environmental vulnerability and adaptability, with implications for food security. The novelty is the application of the YSI, and the connection between yield stability, climate change, and food security. [ABSTRACT FROM AUTHOR]

Despite their incredible diversity, relatively little work has been done to assess impacts of climate change on tropical freshwater organisms. Chortiheros wesseli is a species of Neotropical cichlid (Cichlidae: Cichlinae) restricted to only a few river drainages in the Caribbean-slope of Honduras. Little is known about this species and few specimens had been collected until recently; however, our work with this species in the wild has led to a better understanding of its ecology and habitat preferences making it an excellent model for how freshwater fishes can be affected by climate change. This study assesses the distribution and habitats of Chortiheros wesseli using a combination of field data and species distribution modeling. Results indicate this species is largely limited to its current range, with no realistic suitable habitat nearby. Empirical habitat data show that this species is limited to narrow and shallow flowing waters with rapids and boulders. This habitat type is highly influenced by precipitation, which contributed the greatest influence on the models of present and future habitat suitability. Although several localities are within boundaries of national protected areas, species distribution models all predict a reduction in the range of this freshwater fish based on climate change scenarios. The likelihood of a reduced range for this species will be intensified by adverse changes to its preferred habitats. [ABSTRACT FROM AUTHOR]