Construcción y desarrollo de los TeSAC en Centroamérica en los territorios de “El Tuma - La Dalia” en NicaCentral, Nicaragua, y “Olopa” y “Santa Rita” en la región del Trifinio de Guatemala y Honduras

Este documento corresponde al segundo informe de avances correspondientes a las acciones del segundo semestre de 2018 sobre la implementación del plan de trabajo acordado entre CATIE y CCAFS. En la primera parte de este informe se presenta una introducción y se destaca una breve contexto climático y socio económico para los TeSAC, en la segunda parte, se presentarán los avances para cada línea y/o eje de trabajo ya indicados y la valoración general de cumplimiento para todo el plan 2018, considerando principalmente para esta valoración los “entregables” comprometidos por CATIE, y en la tercera y última parte, se presentan tres anexos; el primero es una valoración cualitativa de cumplimento usando la metodología del semáforo para los tres o los dos TeSAC según corresponda en el plan para Centroamérica; un segundo anexo, que resume las familias que finalizaron el proceso de ECAs Agroclimáticas en Trifinio y en Nicaragua; y un tercer anexo que es una muestra fotográfica de las acciones desarrolladas en el periodo que cubre este informe.This document corresponds to the second report of the advances corresponding to the actions of the second semester of 2018 on the implementation of the work plan agreed between CATIE and the CCAFS. In the first part of this report is presented an introduction and a brief climatic and socioeconomic context for the CSVs in Nicaragua and Guatemala, in the second part, the advances for each line and/or the axis of the work, the indicators and the general assessment are presented to comply with the entire 2018 plan, mainly for this assessment of the deliverables committed by CATIE, and in the third and final part, three annexes are presented; the first is a qualitative qualification of compliance with the semaphore methodology for the three or two CSVs as appropriate in the plan for Central America; a second annex, which summarizes the families that will finish in the Agroclimatic ECA process in Trifinio and in Nicaragua; and a third annex that is a photographic sample of the actions developed in the period covered by this report

How climate awareness influences farmers’ adaptation decisions in Central America?

Central America is one of the regions with the highest vulnerability to climate change, with negative effects projected to affect its economy and food security. To address this issue, an integrative farm management approach such as Climate-Smart Agriculture can help reorient agricultural practices towards climate adaptation and food security. Past studies have shown that several factors can either hinder or encourage the adoptions of Climate-Smart practices, including subjective expectations and perceptions. Building on this literature, we analyze farmers' climate awareness and their perceptions regarding the change in climate patterns as well as their choices of farming practices to adapt to these changes. We show that reforestation was the preferred adaptation strategy among interviewed farmers and that educational profiles and the size of landholdings drive the adoption of this and other practices. Soil management and introduction of new crops are preferred by literate farms with large farmlands, whereas illiterate farmers with smaller farmland tend to move towards farm intensification with an increase in the utilization of external inputs. Our findings provide evidence to support the design of capacity development interventions targeting specific groups of farmers according to their main crop and education profile.How climate awareness influences farmers’ adaptation decisions in Central America?acceptedVersio

Diferencias de género asociadas al acceso y a la implementación de prácticas sostenibles adaptadas al clima en Centroamérica

Esta nota informativa resume los hallazgos provenientes del Monitoreo de prácticas ASAC realizado en 2018 los TeSAC de Guatemala y Honduras en el marco del proyecto “Generando evidencia sobre la Agricultura Sostenible Adaptada al Clima con perspectiva de género para informar políticas en Centroamérica”, liderado por el Centro Internacional de Agricultura Tropical (CIAT), con el apoyo financiero del Centro Internacional de Investigaciones para el Desarrollo (IDRC, por sus siglas en inglés)

Examining gender differences in the access to and implementation of climate-smart agricultural practices in Central America

This Info Note summarizes the findings from the monitoring efforts of CSA practices conducted in 2018 in the Climate-Smart Villages of Guatemala and Honduras within the framework of the project “Generating evidence on gender-sensitive climate-smart agriculture to inform policy in Central America” led by the International Center of Tropical Agriculture (CIAT), with the financial support of the International Development Research Center (IDRC)

The Rural Household Multi-Indicator Survey (RHoMIS) for rapid characterisation of households to inform Climate Smart Agriculture interventions:Description and applications in East Africa and Central America

Achieving climate smart agriculture depends on understanding the links between farming and livelihood practices, other possible adaptation options, and the effects on farm performance, which is conceptualised by farmers as wider than yields. Reliable indicators of farm performance are needed in order to model these links, and to therefore be able to design interventions which meet the differing needs of specific user groups. However, the lack of standardization of performance indicators has led to a wide array of tools and ad-hoc indicators which limit our ability to compare across studies and to draw general conclusions on relationships and trade-offs whereby performance indicators are shaped by farm management and the wider social-environmental context. RHoMIS is a household survey tool designed to rapidly characterise a series of standardised indicators across the spectrum of agricultural production and market integration, nutrition, food security, poverty and GHG emissions. The survey tool takes 40–60 min to administer per household using a digital implementation platform. This is linked to a set of automated analysis procedures that enable immediate cross-site bench-marking and intra-site characterisation. We trialled the survey in two contrasting agro-ecosystems, in Lushoto district of Tanzania (n = 150) and in the Trifinio border region of Guatemala, El Salvador and Honduras (n = 285). The tool rapidly characterised variability between farming systems at landscape scales in both locations identifying key differences across the population of farm households that would be critical for targeting CSA interventions. Our results suggest that at both sites the climate smartness of different farm strategies is clearly determined by an interaction between the characteristics of the farm household and the farm strategy. In general strategies that enabled production intensification contributed more towards the goals of climate smart agriculture on smaller farms, whereas increased market orientation was more successful on larger farms. On small farms off-farm income needs to be in place before interventions can be promoted successfully, whereas on the larger farms a choice is made between investing labour in off-farm incomes, or investing that labour into the farm, resulting in a negative association between off-farm labour and intensification, market orientation and crop diversity on the larger farms, which is in complete opposition to the associations found for the smaller farms. The balance of indicators selected gave an adequate snap shot picture of the two sites, and allowed us to appraise the ‘CSA-ness’ of different existing farm strategies, within the context of other major development objectives.</p

FIRST EXPERIENCES WITH A NOVEL FARMER CITIZEN SCIENCE APPROACH: CROWDSOURCING PARTICIPATORY VARIETY SELECTION THROUGH ON-FARM TRIADIC COMPARISONS OF TECHNOLOGIES (TRICOT)

SUMMARYRapid climatic and socio-economic changes challenge current agricultural R&amp;D capacity. The necessary quantum leap in knowledge generation should build on the innovation capacity of farmers themselves. A novel citizen science methodology, triadic comparisons of technologies or tricot, was implemented in pilot studies in India, East Africa, and Central America. The methodology involves distributing a pool of agricultural technologies in different combinations of three to individual farmers who observe these technologies under farm conditions and compare their performance. Since the combinations of three technologies overlap, statistical methods can piece together the overall performance ranking of the complete pool of technologies. The tricot approach affords wide scaling, as the distribution of trial packages and instruction sessions is relatively easy to execute, farmers do not need to be organized in collaborative groups, and feedback is easy to collect, even by phone. The tricot approach provides interpretable, meaningful results and was widely accepted by farmers. The methodology underwent improvement in data input formats. A number of methodological issues remain: integrating environmental analysis, capturing gender-specific differences, stimulating farmers' motivation, and supporting implementation with an integrated digital platform. Future studies should apply the tricot approach to a wider range of technologies, quantify its potential contribution to climate adaptation, and embed the approach in appropriate institutions and business models, empowering participants and democratizing science

The Rural Household Multiple Indicator Survey, data from 13,310 farm households in 21 countries

The Rural Household Multiple Indicator Survey (RHoMIS) is a standardized farm household survey approach which collects information on 758 variables covering household demographics, farm area, crops grown and their production, livestock holdings and their production, agricultural product use and variables underlying standard socio-economic and food security indicators such as the Probability of Poverty Index, the Household Food Insecurity Access Scale, and household dietary diversity. These variables are used to quantify more than 40 different indicators on farm and household characteristics, welfare, productivity, and economic performance. Between 2015 and the beginning of 2018, the survey instrument was applied in 21 countries in Central America, sub-Saharan Africa and Asia. The data presented here include the raw survey response data, the indicator calculation code, and the resulting indicator values. These data can be used to quantify on- and off-farm pathways to food security, diverse diets, and changes in poverty for rural smallholder farm households

How climate awareness influences farmers’ adaptation decisions in Central America?

Central America is one of the regions with the highest vulnerability to climate change, with negative effects projected to affect its economy and food security. To address this issue, an integrative farm management approach such as Climate-Smart Agriculture can help reorient agricultural practices towards climate adaptation and food security. Past studies have shown that several factors can either hinder or encourage the adoptions of Climate-Smart practices, including subjective expectations and perceptions. Building on this literature, we analyze farmers' climate awareness and their perceptions regarding the change in climate patterns as well as their choices of farming practices to adapt to these changes. We show that reforestation was the preferred adaptation strategy among interviewed farmers and that educational profiles and the size of landholdings drive the adoption of this and other practices. Soil management and introduction of new crops are preferred by literate farms with large farmlands, whereas illiterate farmers with smaller farmland tend to move towards farm intensification with an increase in the utilization of external inputs. Our findings provide evidence to support the design of capacity development interventions targeting specific groups of farmers according to their main crop and education profile

FIRST EXPERIENCES WITH A NOVEL FARMER CITIZEN SCIENCE APPROACH: CROWDSOURCING PARTICIPATORY VARIETY SELECTION THROUGH ON-FARM TRIADIC COMPARISONS OF TECHNOLOGIES (TRICOT)

SUMMARYRapid climatic and socio-economic changes challenge current agricultural R&amp;D capacity. The necessary quantum leap in knowledge generation should build on the innovation capacity of farmers themselves. A novel citizen science methodology, triadic comparisons of technologies or tricot, was implemented in pilot studies in India, East Africa, and Central America. The methodology involves distributing a pool of agricultural technologies in different combinations of three to individual farmers who observe these technologies under farm conditions and compare their performance. Since the combinations of three technologies overlap, statistical methods can piece together the overall performance ranking of the complete pool of technologies. The tricot approach affords wide scaling, as the distribution of trial packages and instruction sessions is relatively easy to execute, farmers do not need to be organized in collaborative groups, and feedback is easy to collect, even by phone. The tricot approach provides interpretable, meaningful results and was widely accepted by farmers. The methodology underwent improvement in data input formats. A number of methodological issues remain: integrating environmental analysis, capturing gender-specific differences, stimulating farmers' motivation, and supporting implementation with an integrated digital platform. Future studies should apply the tricot approach to a wider range of technologies, quantify its potential contribution to climate adaptation, and embed the approach in appropriate institutions and business models, empowering participants and democratizing science

The Rural Household Multiple Indicator Survey (RHoMIS) data of 13,310 farm households in 21 countries

The Rural Household Multiple Indicator Survey (RHoMIS) is a standardized farm household survey approach which collects information on 753 variables covering household demographics, farm area, crops grown and their production, livestock holdings and their production, agricultural product use and variables underlying standard socio-economic and food security indicators like the Poverty Probability Index, the Household Food Insecurity Access Scale and dietary diversity. These variables are used to quantify more than 40 different aggregate indicators on farm household characteristics, welfare, productivity and economic performance. Between 2015 and the beginning of 2018, the survey instrument has been applied in 21 countries in Central America, sub-Saharan Africa and Asia. The data presented here cover the raw data, the indicator calculation code and the resulting indicator values, and can be used to quantify on- and off-farm pathways to food security, diverse diets and reduced poverty of rural smallholder farm households