Haiti: coffee and mango production in a changing climate

Coffee and mango contribute significantly to Haiti’s agricultural gross domestic product and export revenues. Generating income valued at US$11 million in 2011, mango has become one of the country’s most important export commodities. In contrast, coffee exports steadily declined from$7 million to $1 million between 2000 and 2010, even though demand for high-quality Haitian coffee has actually increased on the global market. A recent study conducted by the International Center for Tropical Agriculture (CIAT) and Catholic Relief Services (CRS) revealed that future changes in temperature and rainfall patterns will have significant effects on the suitability of coffee and mango for production in Haiti. While mango will continue to be highly viable, coffee will become considerably less suitable for production at lower elevations. Changing climatic conditions could also lower quality and yields in current coffee-producing regions, such as Plaisance and Dondon in the North and Beaumont in the Southwest. To cope with the challenges that coffee and mango growers are likely to face, it will be important to promote the diversification of agricultural systems, introduce improved coffee varieties, offer financial incentives to adopt sustainable land use practices, build capacity among smallholders, and foster the sharing of expertise

Transforming Food Systems in Africa under Climate Change Pressure: Role of Climate-Smart Agriculture

Low-income producers and consumers of food in Africa are more vulnerable to climate change, owing to their comparatively limited ability to invest in more adapted institutions and technologies under increasing climatic risks. Therefore, the way we manage our food systems needs to be urgently changed if the goal is to achieve food security and sustainable development more quickly. This review paper analyzes the nexus “climate-smart agriculture-food systems-sustainable development” in order to draw sound ways that could allow rapid transformation of food systems in the context of climate change pressure. We followed an integrative review approach based on selected concrete example-experiences from ground-implemented projects across Africa (Ghana, Senegal, Mali, Burkina Faso, in West Africa, Ethiopia, Kenya, Rwanda, and Tanzania in East Africa). Mostly composed of examples from the Climate Change, Agriculture, and Food Security (CCAFS) Research Program of the CGIAR (former Consultative Group on International Agricultural Research) and its partners, these also included ground initiatives from non-CGIAR that could provide demonstrable conditions for a transformative agriculture and food systems. The lessons learnt from the ground implementation of climate-smart agriculture (CSA), in the African context, were instrumental to informing the actions areas of the food-system transformation framework suggested in this paper (reroute, de-risk, reduce, and realign). Selected CSA example-cases to inform these action areas included 24 initiatives across Africa, but with a focus on the following studies for an in-depth analysis: (1) the climate-smart village approach to generate knowledge on climate-smart agriculture (CSA) technologies and practices for their scaling, (2) the use of climate information services (CIS) to better manage climate variability and extremes, and (3) the science–policy interfacing to mainstream CSA into agricultural development policies and plans. The analysis of these examples showed that CSA can contribute driving a rapid change of food systems in Africa through: (1) the implementation of relevant climate-smart technologies and practices to reroute farming and rural livelihoods to new climate-resilient and low-emission trajectories; (2) the development and application of weather and climate information services (WCIS) that support de-risking of livelihoods, farms, and value chains in the face of increasing vagaries of weather and extreme events; (3) the use of climate-smart options that minimize waste of all the natural resources used for growing, processing, packaging, transporting, and marketing food, and therefore mitigating the carbon footprint attached to this food loss and waste; and (4) the realignment of policies and finance that facilitate action in the four proposed action areas through the identification of news ways to mobilize sustainable finance and create innovative financial mechanisms and delivery channels

Café Mesoamericano: desarrollo de una estrategia de adaptación al cambio climático

La producción de café en Mesoamérica es parte importante de la economía y la sociedad, al ser eje del bienestar de miles de familias y contribuir significativamente al PIB agrícola de diversos países. Pero las proyecciones indican que es en México y América Central donde el cambio climático tendrá los impactos más severos. Los modelos climáticos y los indicadores de aptitud climática del nicho en relación con el cultivo muestran cambios considerables, tanto en la calidad del café como en las zonas altitudinales apropiadas para la producción. Si hoy no se hacen esfuerzos para fortalecer la capacidad adaptativa, probablemente habrá grandes pérdidas económicas en toda la cadena de abastecimiento de café, así como la desaparición de importantes servicios ambientales

Tortillas on the roaster: Central America’s maize–bean systems and the changing climate

Maize and beans are a vital component of human diets and culture in Central America. More than a million smallholder families grow these crops for subsistence, producing 70% of the maize and 100% of the beans consumed locally. Average yields are low, however – 1.5 t/ha for maize and 0.7 t/ha for beans – on the approximately 2.5 million hectares of land sown to these crops (40% of the total area harvested) in El Salvador, Guatemala, Honduras, and Nicaragua. In the years to come, a harsher climate together with soil degradation1, widespread poverty, and rural people’s limited access to services and infrastructure will pose challenging obstacles to production. By 2025, these pressures could result in total annual losses of maize and bean production in the four countries of around 350,000 t – with a gross production value of around US$120 million. To ward off this threat to the food security of some 100,000 households, effective adaptation strategies must be developed in collaboration with stakeholders in the maize and bean value chains. These strategies require strong public support and must draw on both scientific and community knowledge

Tortillas en el comal: los sistemas de maíz y fríjol de América Central y el cambio climático

El maíz y el fríjol son un componente vital de las dietas alimenticias de los humanos y la cultura en América Central. Más de un millón de familias de pequeños agricultores siembran estos cultivos para su subsistencia y producen el 70% del maíz y 100% del fríjol que se consume localmente. Sin embargo, los rendimientos promedio son bajos —1.5 t/ha para maíz y 0.7 t/ha para fríjol — en las cerca de 2.5 millones de hectáreas de tierra sembradas con estos cultivos (40% del área total cosechada) en El Salvador, Guatemala, Honduras y Nicaragua. En los próximos años, el cambio climático junto con la degradación del suelo, la pobreza generalizada y el acceso limitado de la población rural a servicios e infraestructura plantearán obstáculos desafiantes para la producción. Para el 2025, estas presiones podrían producir pérdidas anuales totales de la producción de maíz y fríjol en los cuatro países de alrededor de 350.000 t — con un valor bruto de producción cercano a US$120 millones. Para detener esta amenaza para la seguridad alimentaria de alrededor de 100.000 hogares, se deben desarrollar unas estrategias de adaptación efectivas en colaboración con los interesados directos de las cadenas de valor del maíz y el fríjol. Estas estrategias requieren un apoyo público firme y deben aprovechar tanto el conocimiento científico como el saber de las comunidades

Unravelling drivers of high variability of on-farm cocoa yields across environmental gradients in Ghana

CONTEXT: Cocoa (Theobroma cacao L.) is one of the world’s most important agricultural commodity crops with the largest share of global production concentrated in West Africa. Current on-farm yields in this region are low and are expected to decrease in response to climate change, through warming and shifts in rainfall. Interventions intended to improve yields and climate adaptation require an understanding of the main drivers of yields across farms. OBJECTIVE: In this regard, we quantified the extent to which environmental (i.e., climate and soil) conditions drive cocoa yields and how this differs for farms achieving on average low- and high mean production levels based on an unprecedented dataset of 3827 cocoa farms spanning the environmental gradients of Ghana. We further quantified the relative importance of management practices based on a subset of 134 farms for which management information was available. METHODS: We modelled on-farm annual cocoa yield as a function of environmental variables for the large dataset and cocoa yield per tree as a function of environmental and management variables for the subset farms using mixed-effects models. Differences in effects on yield between farms with low and high mean production levels were evaluated using quantile mixed-effects models. RESULTS AND CONCLUSIONS: There was considerable variability in yields across farms, ranging from ~100 to >1000 kg ha−1 (mean = 554 kg ha−1). Mixed-effects models showed that the fixed effects (i.e., environmental variables) only explained 7% of the variability in yields whilst fixed and random effects together explained 80%, suggesting that farm-to-farm variation played a large role. Explained variation in cocoa yields per tree of 134 farms in the subset increased from 10% to 25% when including management variables in addition to environmental variables. In both models, climate-related factors had a larger effect on yields than edaphic factors, with radiation of the main dry season and that of the previous year having the strongest effects on on-farm- and tree yields, respectively. The quantile regression analyses showed that productivity in high-yielding farms (90th percentile) was more strongly driven by environmental factors than in low-yielding farms (10th percentile). In conclusion, agronomic management is the dominant determinant of on-farm cocoa yields in Ghana, more so than environmental conditions. Furthermore, high-yielding cocoa farms are more sensitive to environmental conditions than low-yielding ones

Towards a collaborative research: A case study on linking science to farmers' perceptions and knowledge on Arabica coffee pests and diseases and its management

The scientific community has recognized the importance of integrating farmer's perceptions and knowledge (FPK) for the development of sustainable pest and disease management strategies. However, the knowledge gap between indigenous and scientific knowledge still contributes to misidentification of plant health constraints and poor adoption of management solutions. This is particularly the case in the context of smallholder farming in developing countries. In this paper, we present a case study on coffee production in Uganda, a sector depending mostly on smallholder farming facing a simultaneous and increasing number of socio-ecological pressures. The objectives of this study were (i) to examine and relate FPK on Arabica Coffee Pests and Diseases (CPaD) to altitude and the vegetation structure of the production systems; (ii) to contrast results with perceptions from experts and (iii) to compare results with field observations, in order to identify constraints for improving the information flow between scientists and farmers. Data were acquired by means of interviews and workshops. One hundred and fifty farmer households managing coffee either at sun exposure, under shade trees or inter-cropped with bananas and spread across an altitudinal gradient were selected. Field sampling of the two most important CPaD was conducted on a subset of 34 plots. The study revealed the following findings: (i) Perceptions on CPaD with respect to their distribution across altitudes and perceived impact are partially concordant among farmers, experts and field observations (ii) There are discrepancies among farmers and experts regarding management practices and the development of CPaD issues of the previous years. (iii) Field observations comparing CPaD in different altitudes and production systems indicate ambiguity of the role of shade trees. According to the locality-specific variability in CPaD pressure as well as in FPK, the importance of developing spatially variable and relevant CPaD control practices is proposed. (Résumé d'auteur

Looking beyond forest cover: an analysis of landscape-scale predictors of forest degradation in the Brazilian Amazon.

While forest degradation rates and extent exceed deforestation in the Brazilian Amazon, less attention is given to the factors controlling its spatial distribution. No quantified correlation exists between changes of forest structure due to anthropogenic disturbances and dynamics of land use and cover change occurring at broader spatial levels. This study examines the influence of multi-scale landscape structure factors (i.e. spatial composition, configuration and dynamic of land use/cover) on primary forest's aboveground biomass (AGB), spanning from low to highly degraded, in Paragominas municipality (Pará state). We used random forest models to identify the most important landscape predictors of degradation and clustering methods to analyze their distribution and interactions. We found that 58% of the variance of AGB could be explained by metrics reflecting land use practices and agricultural dynamics around primary forest patches and that their spatial patterns were not randomly distributed. Forest degradation is mainly driven by fragmentation effects resulting from old deforestation and colonization events linked with cropland expansion (e.g. soybean and maize) coupled with high accessibility to market. To a lesser extent, degradation is driven by recent and ongoing (1985?2015) deforestation and fragmentation in slash-and-burn agricultural areas, characterized by heterogeneous mosaics of pastures and fallow lands combined with high use of fire. Our findings highlight the potential of landscape-level framework and remotely sensed land cover data for a thorough understanding of the distribution of forest degradation across human-modified landscapes. Addressing these spatial determinants by looking at agricultural dynamics beyond forest cover is necessary to improve forest management which has major implications for biodiversity, carbon and other ecosystem services

The Protease Inhibitor Alpha-2-Macroglobuline-Like-1 Is the p170 Antigen Recognized by Paraneoplastic Pemphigus Autoantibodies in Human

Paraneoplastic pemphigus (PNP) is a devastating autoimmune blistering disease, involving mucocutaneous and internal organs, and associated with underlying neoplasms. PNP is characterized by the production of autoantibodies targeting proteins of the plakin and cadherin families involved in maintenance of cell architecture and tissue cohesion. Nevertheless, the identity of an antigen of Mr 170,000 (p170), thought to be critical in PNP pathogenesis, has remained unknown