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Featured researches published by John W.M. Recha.


Earth Interactions | 2012

Stream Discharge in Tropical Headwater Catchments as a Result of Forest Clearing and Soil Degradation

John W.M. Recha; Johannes Lehmann

AbstractTropical Africa is affected by intense land-use change, particularly forest conversion to agricultural land. In this study, the stream discharge of four small headwater catchments located within an area of 6 km2 in western Kenya was examined for 2 years (2007 and 2008). The four catchments cover a degradation gradient ranging from intact forest to agricultural land under maize cultivation for 5, 10, and 50 years. The runoff ratio (e.g., annual catchment discharge expressed as a percentage of rainfall) increased with increasing duration of cultivation from an average of 16.0% in the forest to 32.4% in the 50-yr-old agricultural catchment. Similarly, the average runoff ratio due to the stormflow component was 0.033 in the forest and increased gradually to 0.095 with increasing duration of cultivation. The conversion from forest to agricultural land in the first 5 years caused about half of the total observed increases in runoff ratio (46.3%) and discharge in relation to rainfall (50.6%). The other h...


Global Biogeochemical Cycles | 2015

Terrestrial pyrogenic carbon export to fluvial ecosystems: lessons learned from the White Nile watershed of East Africa

David T. Güereña; Johannes Lehmann; Todd Walter; Akio Enders; Henry Neufeldt; Holiance Odiwour; Henry Biwott; John W.M. Recha; Keith D. Shepherd; Edmundo Barrios; Christopher M. Wurster

Pyrogenic carbon (PyC) is important because of its role in the global organic C (OC) cycle and in modifying soil properties. However, our understanding of PyC movement from terrestrial to fluvial ecosystems is not robust. This study examined (i) whether erosion or subsurface transport was more important for PyC export from headwaters, (ii) whether PyC was exported preferentially to total OC (TOC), and (iii) whether the movement of PyC from terrestrial to aquatic ecosystems provides an explanation for the coupling of PyC and non-PyC observed in rivers at a global scale. In the Guineo-Congolian highland forest region of western Kenya, duplicate catchments with sizes of 1–12 ha were equipped with stream gauges in primary forest and adjacent mixed agricultural landscapes that were cleared by fire 10, 16, or 62 years before. Stream water samples were taken weekly throughout 1 year and compared with runoff to assess PyC movement. Additional stream samples were taken from all major tributaries of the White Nile watershed of Lake Victoria. PyC was not found to be preferentially eroded relative to TOC or non-PyC, as topsoil (0–0.15 m) PyC concentrations (6.3 ± 0.3% of TOC; means and standard errors) were greater than runoff sediment (1.9 ± 0.4%) and dissolved PyC concentrations (2.0 ± 0.4%, n = 252). In addition, PyC proportions in eroded sediment were lower than and uncorrelated (r2 = 0.04; P = 0.14) with topsoil PyC. An enrichment of PyC was found with depth in the soil, from 6.3 ± 0.3% of TOC in the topsoil (0–0.15 m) to 12.3 ± 0.3% of TOC at 1–2 m. Base flow PyC proportions of TOC correlated well with subsoil PyC (r2 = 0.57; P   0.05). Similar PyC proportions were found in the studied headwater streams (2.7 ± 0.2%), their downstream inflow into Lake Victoria (3.7%), the other nine major rivers into Lake Victoria (4.9 ± 0.8%), and its outflow into the White Nile (1.1%). A strong positive correlation between dissolved PyC and non-PyC (r2 = 0.91; P < 0.0001) in the headwater streams reflect relationships previously seen for a range of globally important rivers, and contrasts with a negative relationship for suspended sediments (r2 = −0.5; P < 0.0001). The estimated PyC export from the Lake Victoria watershed of 11 Gg yr−1 may therefore originate to a large extent from subsoil pathways in dissolved form that appeared to be an important source of PyC in aquatic environments and may explain the coupling of PyC and non-PyC at a global scale.


Ecology and Society | 2018

The climate-smart village approach : framework of an integrative strategy for scaling up adaptation options in agriculture

Pramod K. Aggarwal; Andrew Jarvis; Bruce M. Campbell; Robert B. Zougmoré; Arun Khatri-Chhetri; Sonja J. Vermeulen; Ana Maria Loboguerrero; Leocadio S. Sebastian; James Kinyangi; Osana Bonilla-Findji; Maren A.O. Radeny; John W.M. Recha; Deissy Martinez-Baron; Julian Ramirez-Villegas; Sophia Huyer; Philip K. Thornton; Eva Wollenberg; James Hansen; Patricia Alvarez-Toro; Andrés Aguilar-Ariza; David Arango-Londoño; Victor Patiño-Bravo; Ovidio Rivera; Mathieu Ouedraogo; Bui Tan Yen

Increasing weather risks threaten agricultural production systems and food security across the world. Maintaining agricultural growth while minimizing climate shocks is crucial to building a resilient food production system and meeting developmental goals in vulnerable countries. Experts have proposed several technological, institutional, and policy interventions to help farmers adapt to current and future weather variability and to mitigate greenhouse gas (GHG) emissions. This paper presents the climate-smart village (CSV) approach as a means of performing agricultural research for development that robustly tests technological and institutional options for dealing with climatic variability and climate change in agriculture using participatory methods. It aims to scale up and scale out the appropriate options and draw out lessons for policy makers from local to global levels. The approach incorporates evaluation of climate-smart technologies, practices, services, and processes relevant to local climatic risk management and identifies opportunities for maximizing adaptation gains from synergies across different interventions and recognizing potential maladaptation and trade-offs. It ensures that these are aligned with local knowledge and link into development plans. This paper describes early results in Asia, Africa, and Latin America to illustrate different examples of the CSV approach in diverse agroecological settings. Results from initial studies indicate that the CSV approach has a high potential for scaling out promising climate-smart agricultural technologies, practices, and services. Climate analog studies indicate that the lessons learned at the CSV sites would be relevant to adaptation planning in a large part of global agricultural land even under scenarios of climate change. Key barriers and opportunities for further work are also discussed.


Agricultural and Food Science | 2017

Smallholder farmers’ adaptation to climate change and determinants of their adaptation decisions in the Central Rift Valley of Ethiopia

Abrham Belay; John W.M. Recha; Teshale Woldeamanuel

BackgroundThe agricultural sector remains the main source of livelihoods for rural communities in Ethiopia, but faces the challenge of changing climate. This study investigated how smallholder farmers perceive climate change, what adaptation strategies they practice, and factors that influence their adaptation decisions. Both primary and secondary data were used for the study, and a multinomial logit model was employed to identify the factors that shape smallholder farmers’ adaptation strategies.ResultsThe results show that 90% of farmers have already perceived climate variability, and 85% made attempts to adapt using practices like crop diversification, planting date adjustment, soil and water conservation and management, increasing the intensity of input use, integrating crop with livestock, and tree planting. The econometric model indicated that education, family size, gender, age, livestock ownership, farming experience, frequency of contact with extension agents, farm size, access to market, access to climate information and income were the key factors determining farmers’ choice of adaptation practice.ConclusionIn the Central Rift Valley of Ethiopia, climate change is a pressing problem, which is beyond the capacity of smallholders to respond to autonomously. Farmers’ capacity to choose effective adaptation options is influenced by household demography, as well as positively by farm size, income, access to markets, access to climate information and extension, and livestock production. This implies the need to support the indigenous adaptation strategies of the smallholder farmers with a wide range of institutional, policy, and technology support; some of it targeted on smaller, poorer or female-headed households. Moreover, creating opportunities for non-farm income sources is important as this helps farmers to engage in those activities that are less sensitive to climate change. Furthermore, providing climate change information, extension services, and creating access to markets are crucial.


SpringerPlus | 2015

Opportunities and challenges of indigenous biotic weather forecasting among the Borena herders of southern Ethiopia

Desalegn Yayeh Ayal; S. Desta; G. Gebru; James Kinyangi; John W.M. Recha; Maren A.O. Radeny

The practical utilization of available modern as well as traditional weather forecasting systems builds herders’ resiliency capacity to climatic shocks. The precision and reliability of the forecasting system determines its creditability and acceptance by the users to be proactive in the decisions they make based on the forecasted information. It has been postulated that traditional weather forecasting systems are becoming less reliable due to repeated faulty forecasts. The study assesses the current status of the Borana traditional weather forecasting system and how traditional experts make weather forecasts based on biotic indicators such as intestinal readings, changes in plant and animal body languages. Questionnaire survey, field observations, focus group discussions and interviews with relevant key informants were employed to obtain data. Collected field data was compared with National Metrological Service Agency instrumental data for consistency. Results reveal that herders made short term weather forecasts using intestinal readings, and observed changes in plant and animal body languages. The study shows the extent how public confidence in the accuracy of indigenous weather forecasting skills has been gradually eroded overtime due to faulty forecasts. The precision and credibility of the traditional weather forecast steadily declined and led to repeated faulty predictions. Poor documentation, oral based knowledge transfer system, influence of religion and modern education, aging and extinction of traditional experts were identified as the major causes undermining the vitality of traditional climate forecast. Traditional weather foresting knowledge and skill could have some utility and also serve as a starting point to scientifically study the relationship between various signs and implied climatic events. This article recommends before traditional Borana weather forecasting system completely disappears, a remedial action should be carried out to rescue this long established wisdom, knowledge and skill and maximize the benefits from what works well. The forecast needs of herders could be rendered by a combination of modern and traditional weather forecasting services. Further research is required to explore possible area of complementarity between the modern and traditional forecasting systems for improved efficiency and effectiveness in predictability, dissemination and advice.


Agricultural and Food Science | 2016

Building local institutional capacity to implement agricultural carbon projects: participatory action research with Vi Agroforestry in Kenya and ECOTRUST in Uganda

Seth Shames; Krista Heiner; Martha Kapukha; Lillian Kiguli; Moses Masiga; Pauline Nantongo Kalunda; Annet Ssempala; John W.M. Recha; Amos Wekesa

BackgroundSmallholders have begun to take advantage of a growing pool of investment in climate change mitigation. Meanwhile, early movers in this area are working to develop innovative models that will allow projects to be financially sustainable and scalable while benefiting local actors. This study focuses on two of these projects in East Africa, managed by Vi Agroforestry in Kenya and ECOTRUST in Uganda. They engaged in a participatory action research process to identify ways that local actors could take on expanded roles within the projects.ResultsResults are presented as case studies which include project context, roles of local project actors, actions selected, and the outcomes of the actions on the key actors targeted. The actions focused on building the capacities of community-based intermediaries, facilitating partnerships with local government and local non-governmental organizations, and supporting a more active role played by women. Key findings from this process were that community-based intermediaries can play a leading role in land management trainings; local government involvement is critical to project success; local non-governmental organizations and businesses can play central roles in training and providing market incentives to farmers to implement sustainable practices; and women’s roles in projects can grow if project benefits are aligned with their needs and trainings are made more accessible.ConclusionsThese cases demonstrate that there is substantial scope for the responsibilities within agricultural carbon projects, and by extension climate-smart agriculture initiatives more broadly, to be institutionalized at the local level. However, regardless of the institutional setup, due to carbon market factors beyond the control of these projects, the financial case for smallholder projects that rely solely on financing from carbon credits remains challenging to these projects and others like them. As programmatic and policy-led approaches grow from these project models, it may be easier to find ways to integrate carbon financing with support for climate change adaptation, rural development, and ecosystem services provision. With these new models, the ability to institutionalize management and implementation capacity at the local level will remain critically important.


Arid Land Research and Management | 2016

Changing rainfall patterns and farmers’ adaptation through soil water management practices in semi-arid eastern Kenya

John W.M. Recha; Bancy M. Mati; Mary Nyasimi; Philip Kimeli; James Kinyangi; Maren A.O. Radeny

ABSTRACT There is limited documentation of soil and water management technologies that enhance adaptation to climate change in drylands of Kenya. Rainfall patterns were analyzed in the semi-arid Machakos and Makueni counties of eastern Kenya using historical data. A total of forty-three smallholder farmers implementing soil water management practices were sampled, and an estimate of the seasonal water budget for current crop and livestock production systems computed. Analysis of rainfall amounts and distribution shows increasing variability, with the average annual total amounts decreasing over the past 50 years. Furthermore, the number of rainy days within the March-April-May season that can support crop growth is gradually decreasing. These decreases are however not significant at P < 0.05. There were more seasons with low rainfall amounts compared to those with high rainfall amounts. All these subject the smallholder crop and livestock production system to limited soil moisture. Farmers address the risk by harnessing and utilizing green (rainfall stored in soil) and blue (rainfall collected into storage tanks) water technologies. The study found that farmers in these semi-arid counties practice fifteen diverse soil and water management interventions on their farms. The most popular practices are cut-off drains, retention ditches, terracing, run-off harvesting, and agroforestry. The estimated seasonal water budget indicates the need for integrated soil and water management interventions to address the crop and livestock production constraints.


Archive | 2018

Demand and experiences with financial products and services in climate smart villages

A. Groot; Imares Onderzoeksformatie; O. van Steenis; W. Jans; J.S. Bolt; John W.M. Recha; Philip Kimeli; Maren A.O. Radeny; O. Muhimbo; E. Osmond; D. Kitondo; D. Martinez Baron; V. Santacruz; Arun Khatri-Chhetri; M. Jat; P. Aggrarwal; N. Chanana; A. Pant; P. Phuong Thanh; N. Dinh Tien; J. Korner; L. Sebastiaan; Mathieu Ouédraogo; Robert B. Zougmoré; B. Nyour; H. Ibrahim; P. Maalong-Gae; T. Bawa; M. Diop; T. Long

This study ‘Demand for and experiences with financial products and services’ describes and discusses the results of a survey to provide a first insight into the financial services that the smallholder farmers from climate smart villages use and to explore how these are related to climate smart agricultural technologies & practices. The study is one of three preliminary studies of a multi-year international research project (2016-2022) on ‘Business models, incentives and innovative finance for scaling climate smart agriculture (CSA)’. The knowledge and insights developed are used to further support ongoing and emerging climate smart projects in which CCAFS is involved. A survey was conducted to identify smallholder farmers and the small to medium enterprises (in different stages of the value chain) and their demand for and experiences with financial products and services. There were 148 respondents from 24 villages from Latin America, West Africa, East Africa, Southeast Asia and South Asia. The targeted number of female respondents (50%) was nog met in all regions, for example in India where the role of female farmers in irrigated agriculture would be limited. A limitation to the results is that in different regions a different number of villages was involved, making it more difficult to generalise results. Sometimes it would prove challenging to make conclusions about the reasoning behind the answers. The study is about adoption climate smart agriculture, but does not define the extent of adoption. ..


Archive | 2017

Uptake of Resilient Crop Interventions to Manage Risks Through Climate-Smart Villages Approach in Nyando, Western Kenya

John W.M. Recha; Maren A.O. Radeny; James Kinyangi; Philip Kimeli

The changing climate is a threat to the smallholder farmers. Poverty and limited livelihood options increase vulnerability to climate risks. To counter this, a partnership between research and development organizations and the Nyando rural community developed Climate-Smart Villages (CSVs) model to test local actions that ensure food security, promote adaptation and build resilience to climatic stresses. The purpose of the study was to explore the changes in farming practices made by households which are arising from the partnership. The study made use of household-level surveys for five years (2011–2015). The findings show increased use of terracing to conserve soil and water, intercropping, use of improved crop varieties, and households adopting three or more new crop types, greatly expanding on-farm choices for resilient varieties. The results can be used to showcase crop production practices suitable for adapting to the changing climate in rural communities.


Archive | 2016

Private Sector Actions to Enable Climate-Smart Agriculture in Small-Scale Farming in Tanzania

Sheryl Quail; Leah Onyango; John W.M. Recha; James Kinyangi

The private sector plays the most important role in financing agricultural investments, innovation and information dissemination where constraints on government investment render private sector actions more important. In East Africa, little is known about the participation of small businesses, independent traders, farmer organizations, large-scale wholesalers, marketing boards and cooperatives in climate-smart agriculture (CSA) and their potential role in its diffusion to small-scale farmers. In particular, the informal sector is out of view even though it forms the backbone of rural agrarian economies. This study examines relationships between private sector actors and farmers and examines supply chains of agricultural inputs, as well as agricultural product value chains. The potential for using the Quality Declared Seed (QDS) system to disseminate CSA bean and potato varieties is assessed, as is the commercial maize seed supply chain and its impact on agrobiodiversity. Finally, farmer trust of private sector actors, traders in particular, is evaluated. The data used is from a survey of 100 farmers and semi-structured interviews with traders, local input suppliers, transporters and marketing organizations.

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Maren A.O. Radeny

International Livestock Research Institute

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Philip Kimeli

International Livestock Research Institute

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