Dryland Systems articles in journals

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    Drought preparedness and drought mitigation in the developing world׳s drylands
    (Journal Article, 2014-06) Solh, M.; Ginkel, M. van
    Drought is one of the major constraints affecting food security and livelihoods of more than two billion people that reside on dry areas which constitute 41% of the world׳s land surface. Drought is defined as deficiency of precipitation over an extended period of time resulting in water scarcity. Our best minds should be concentrated where the greatest challenges lie today – on discoveries and new solutions to cope with the challenges facing dry areas particularly drought and water scarcity. In addition to facing severe natural resource constraints caused by the lack of water in many of the developing world׳s drylands, we also have to cope with rapid growth of the younger segment of the growing population, and high levels of poverty. Coping with drought and water scarcity are critical to address major development challenges in dry areas namely poverty, hunger, environmental degradation and social conflict. Drought is a climatic event that cannot be prevented, but interventions and preparedness to drought can help to: (i) be better prepared to cope with drought; (ii) develop more resilient ecosystems (iii) improve resilience to recover from drought; and (iv) mitigate the impacts of droughts. Preparedness strategies to drought include: (a) geographical shifts of agricultural systems; (b) climate-proofing rainfall-based systems; (c) making irrigated systems more efficient; (d) expanding the intermediate rainfed–irrigated systems. The paper presents successful research results and case studies applying some innovative techniques where clear impact is demonstrated to cope with drought and contribute to food security in dry areas. The CGIAR Consortium Research Program (CRP) on “Integrated and Sustainable Agricultural Production Systems for Improved Food Security and Livelihoods in Dry Areas” (in short, “Dryland Systems”), led by ICARDA, was launched in May 2013 with many partners and stakeholders from 40 countries. It addresses farming systems in dry areas, at a global level, involving 80 partner institutions. The Dryland Systems Program aims at coping with drought and water scarcity to enhance food security and reduce poverty in dry areas through an integrated agro-ecosystem approach. It will also deliver science-based solutions that can be adopted in regions that are not yet experiencing extreme shocks, but will be affected in the medium to long-term. The approach entails shifting the thinking away from the traditional focus on a small number of research components to take an integrated approach aiming to address agro-ecosystems challenges. Such an approach involves crops, livestock, rangeland, trees, soils, water and policies. It is one of the first global research for development efforts that brings “systems thinking” to farming innovations leading to improved livelihoods in the developing world. The new technique uses modern innovation platforms to involve all stakeholders, adopting the value chain concept along a research-to-impact pathway for enhanced food security and improved livelihoods in dry areas.
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    The potential and uptake of remote sensing in insurance: A review
    (Journal Article, 2014-11-15) Leeuw, Jan de; Vrieling, A.; Shee, Apurba; Atzberger, Clement; Hadgu, K.M.; Biradar, Chandrashekhar M.; Keah, H.; Turvey, C.G.
    Global insurance markets are vast and diverse, and may offer many opportunities for remote sensing. To date, however, few operational applications of remote sensing for insurance exist. Papers claiming potential application of remote sensing typically stress the technical possibilities, without considering its contribution to customer value for the insured or to the profitability of the insurance industry. Based on a systematic search of available literature, this review investigates the potential and actual support of remote sensing to the insurance industry. The review reveals that research on remote sensing in classical claim-based insurance described in the literature revolve around crop damage and flood and fire risk assessment. Surprisingly, the use of remote sensing in claim-based insurance appears to be instigated by government rather than the insurance industry. In contrast, insurance companies are offering various index insurance products that are based on remote sensing. For example, remotely sensed index insurance for rangelands and livestock are operational, while various applications in crop index insurance are being considered or under development. The paper discusses these differences and concludes that there is particular scope for application of remote sensing by the insurance industry in index insurance because (1) indices can be constructed that correlate well with what is insured; (2) these indices can be delivered at low cost; and (3) it opens up new markets that are not served by claim-based insurance. The paper finally suggests that limited adoption of remote sensing in insurance results from a lack of mutual understanding and calls for greater cooperation between the insurance industry and the remote sensing community.
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    Commercializing smallholder value chains for goats in Mozambique: A system dynamics approach
    (Journal Article, 2014) Hamza, K.H.; Rich, Karl M.; Baker, A.D.; Hendrickx, Saskia C.J.
    Goat producers in Inhassoro follow traditional management practices that lead to low supply of low quality goats. This has negative impacts on profitability, and on market access. Traders who buy in the Inhassoro locality buy only small volumes, and buyers from external markets are unaware of potential market supply in Inhassoro. This interaction of production constraints and limited information flows in the value chain was addressed using a system dynamics model for various commercialization scenarios. Simulation results show that improving goat production and animal health practices alone without concomitant improvements in market access have negative impacts on the financial performance of producers and no impact on other value chain actors. However, interventions that both improve market access and animal health have significant positive impacts on the financial performance of all value chain actors. The model’s explicit treatment of herd dynamics contribute significantly to these conclusions, particularly the lagged production response inherent in livestock breeding systems.
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    Economic trade-offs of biomass use in crop-livestock systems: Exploring more sustainable options in semi-arid Zimbabwe
    (Journal Article, 2015-03) Homann-Kee Tui, Sabine; Valbuena, Diego; Masikati, Patricia; Descheemaeker, Katrien K.; Nyamangara, Justice; Claessens, Lieven; Erenstein, Olaf; Rooyen, Andre F. van; Nkomboni, D.
    In complex mixed crop-livestock systems with limited resources and biomass scarcity, crop residues play an important but increasingly contested role. This paper focuses on farming systems in the semi-arid areas of Zimbabwe, where biomass production is limited and farmers integrate crop and livestock activities. Conservation Agriculture (CA) is promoted to intensify crop production, emphasizing the retention of surface mulch with crop residues (CR). This paper quantifies the associated potential economic trade-offs and profitability of using residues for soil amendment or as livestock feed, and explores alternative biomass production options. We draw on household surveys, stakeholder feedback, crop, livestock and economic modeling tools. We use the Trade-Off Analysis Model for Multi Dimensional Impact Assessment (TOA-MD) to compare different CR use scenarios at community level and for different farm types: particularly the current base system (cattle grazing of maize residues) and sustainable intensification alternatives based on a CA option (mulching using maize residues ± inorganic fertilizer) and a maize–mucuna (Mucuna pruriens) rotation. Our results indicate that a maize–mucuna rotation can reduce trade-offs between CR uses for feed and mulch, providing locally available organic soil enhancement, supplementary feed and a potential source of income. Conservation Agriculture without fertilizer application and at non-subsidized fertilizer prices is not financially viable; whereas with subsidized fertilizer it can benefit half the farm population. The poverty effects of all considered alternative biomass options are however limited; they do not raise income sufficiently to lift farmers out of poverty. Further research is needed to establish the competitiveness of alternative biomass enhancing technologies and the socio-economic processes that can facilitate sustainable intensification of mixed crop-livestock systems, particularly in semi-arid environments.
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    Operationalizing inclusive innovation: Lessons from innovation platforms in livestock value chains in India and Mozambique
    (Journal Article, 2014-07-03) Swaans, Cornelis P.M.; Boogaard, Birgit K.; Bendapudi, R.; Taye, H.; Hendrickx, Saskia C.J.; Klerkx, Laurens
    Various authors have identified the potential relevance of innovation system approaches for inclusive innovation, that is, the means by which new goods and services are developed for and by the poor. However, it is still a question how best to operationalize this. Innovation platforms (IPs) represent an example of putting an inclusive innovation system approach into practice by bringing different types of stakeholders together to address issues of mutual concern and interest with a specific focus on the marginalized poor. This paper explores the formation and functioning of IPs with the aim of providing lessons on the conditions and factors that play a role in making them effective. The study shows the importance of social organization, representation, and incentives to ensure a ‘true’ participatory innovation process, which is based on demand and embedded in the context. Critical to this is a flexible planning process stimulating incremental change through so-called innovation bundles (i.e. combinations of technological, organizational, and institutional innovations) and reflexive learning (systematically challenging constraining factors). Furthermore, local institutions embedded in norms and values are crucial to understand people's decisions. Due to weak linkages between value chain actors, innovation brokers have a vital role in facilitating the innovation process. Overall, IPs are a promising model for inclusive innovation, but they require a careful assessment of and adjustment to the institutional context.
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    Identifying determinants, pressures and trade-offs of crop residue use in mixed smallholder farms in Sub-Saharan Africa and South Asia
    (Journal Article, 2015-03) Valbuena, Diego; Homann-Kee Tui, Sabine; Erenstein, Olaf; Teufel, Nils; Duncan, Alan J.; Abdoulaye, Tahirou; Swain, Braja B.; Mekonnen, Kindu; Germaine, I.; Gerard, Bruno G.
    Crop residues (CR) have become a limited resource in mixed crop-livestock farms. As a result of the increasing demand and low availability of alternative resources, CR became an essential resource for household activities, especially for livestock keeping; a major livelihood element of smallholder farmers in the developing world. Farmers’ decisions on CR use are determined by farmers’ preferences, total crop production, availability of alternative resources and demand for CR. Interaction of these determinants can result in pressures and trade-offs of CR use. Determinants, pressures and trade-offs are shaped by the specific socio-economic and agro-ecological context of these mixed farms. The objective of this paper is to provide a comparative analysis of the determinants of CR use and to examine some options to cope with pressures and trade-offs in 12 study sites across Sub-Saharan Africa and South Asia. Drawing on socio-economic data at household and village level, we describe how cereal intensification and livestock feed demand influence use, pressures and trade-offs of CR use across study sites, specifically cereal residue. Our results show that in low cereal production and livestock feed demand sites, despite a low demand for CR and availability of alternative biomass, pressures and trade-offs of CR use are common particularly in the dry season. In sites with moderate cereal production, and low–moderate and moderate livestock feed demand, alternative biomass resources are scarce and most residues are fed to livestock or used to cover household needs. Subsequently, pressures and potential trade-offs are stronger. In sites with low cereal production and high livestock feed demand, pressures and trade-offs depend on the availability of better feed resources. Finally, sites with high cereal production and high livestock feed demand have been able to fulfil most of the demand for CR, limiting pressures and trade-offs. These patterns show that agricultural intensification, better management of communal resources and off-farm activities are plausible development pathways to overcome pressures and trade-offs of CR use. Although technologies can largely improve these trends, research and development should revisit past initiatives so as to develop innovative approaches to tackle the well-known problem of low agricultural production in many smallholder mixed systems, creating more sustainable futures.
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    Historical extension of operational NDVI products for livestock insurance in Kenya
    (Journal Article, 2014-05) Vrieling, A.; Meroni, M.; Shee, Apurba; Mude, Andrew G.; Woodard, J.; Bie, C.A.J.M. de; Rembold, F.
    Droughts induce livestock losses that severely affect Kenyan pastoralists. Recent index insurance schemes have the potential of being a viable tool for insuring pastoralists against drought-related risk. Such schemes require as input a forage scarcity (or drought) index that can be reliably updated in near real-time, and that strongly relates to livestock mortality. Generally, a long record (>25 years) of the index is needed to correctly estimate mortality risk and calculate the related insurance premium. Data from current operational satellites used for large-scale vegetation monitoring span over a maximum of 15 years, a time period that is considered insufficient for accurate premium computation. This study examines how operational NDVI datasets compare to, and could be combined with the non-operational recently constructed 30-year GIMMS AVHRR record (1981–2011) to provide a near-real time drought index with a long term archive for the arid lands of Kenya. We compared six freely available, near-real time NDVI products: five from MODIS and one from SPOT-VEGETATION. Prior to comparison, all datasets were averaged in time for the two vegetative seasons in Kenya, and aggregated spatially at the administrative division level at which the insurance is offered. The feasibility of extending the resulting aggregated drought indices back in time was assessed using jackknifed R2 statistics (leave-one-year-out) for the overlapping period 2002–2011. We found that division-specific models were more effective than a global model for linking the division-level temporal variability of the index between NDVI products. Based on our results, good scope exists for historically extending the aggregated drought index, thus providing a longer operational record for insurance purposes. We showed that this extension may have large effects on the calculated insurance premium. Finally, we discuss several possible improvements to the drought index.
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    An integrated agro-ecosystem and livelihood systems approach for the poor and vulnerable in dry areas
    (Journal Article, 2013-12) Ginkel, M. van; Sayer, Jeffrey A.; Sinclair, Fergus L.; Aw-Hassan, Aden A.; Bossio, Deborah A.; Craufurd, Peter Q.; Mourid, M.E.; Haddad, N.; Hoisington, D.A.; Johnson, Nancy L.; Velarde, C.L.; Mares, V.; Mude, Andrew G.; Nefzaoui, A.; Noble, A.D.; Rao, K.P.C.; Serraj, R.; Tarawali, Shirley A.; Vodouhe, R.S.; Ortíz, R.
    More than 400 million people in the developing world depend on dryland agriculture for their livelihoods. Dryland agriculture involves a complex combination of productive components: staple crops, vegetables, livestock, trees and fish interacting principally with rangeland, cultivated areas and watercourses. Managing risk and enhancing productivity through diversification and sustainable intensification is critical to securing and improving rural livelihoods. The main biophysical constraints are natural resource limitations and degradation, particularly water scarcity and encroaching desertification. Social and economic limitations, such as poor access to markets and inputs, weak governance and lack of information about alternative production technologies also limit the options available to farmers. Past efforts to address these constraints by focusing on individual components have either not been successful or are now facing a declining rate of impact, indicating the need for new integrated approaches to research for development of dryland systems. This article outlines the characteristics of such an approach, integrating agro-ecosystem and livelihoods approaches and presents a range of empirical examples of its application in dryland contexts. The authors draw attention to new insights about the design of research required to accelerate impact by integrating across disciplines and scales.
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    Pastoralism and ecosystem-based adaptation in Kenyan Masailand
    (Journal Article, 2013-05-10) Osano, Philip M.; Said, Mohammed Yahya; Leeuw, Jan de; Moiko, Stephen S.; Kaelo, D.O.; Schomers, S.; Birner, Regina; Ogutu, Joseph O.
    Purpose – The purpose of this paper is to assess the potential for pastoral communities inhabiting. Kenyan Masailand to adapt to climate change using conservancies and payments for ecosystem services. Design/methodology/approach – Multiple methods and data sources were used, comprising: a socio-economic survey of 295 households; informal interviews with pastoralists, conservancy managers, and tourism investors; focus group discussions; a stakeholder workshop. Monthly rainfall data was used to analyse drought frequency and intensity. A framework of the interactions between pastoralists’ drought coping and risk mitigation strategies and the conservancy effects was developed, and used to qualitatively assess some interactions across the three study sites. Changes in household livestock holdings and sources of cash income are calculated in relation to the 2008-09 drought. Findings – The frequency and intensity of droughts are increasing but are localized across the three study sites. The proportion of households with per capita livestock holdings below the 4.5 TLU poverty vulnerability threshold increased by 34 per cent in Kitengela and 5 per cent in the Mara site, mainly due to the drought in 2008-2009. Payment for ecosystem services was found to buffer households from fluctuating livestock income, but also generates synergies and/or trade-offs depending on land use restrictions. Originality/value – The contribution of conservancies to drought coping and risk mitigation strategies of pastoralists is analyzed as a basis for evaluating the potential for ecosystem-based adaptation.
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    Length of Growing Period over Africa: Variability and Trends from 30 Years of NDVI Time Series
    (Journal Article, 2013-02-22) Vrieling, A.; Leeuw, Jan de; Said, Mohammed Yahya
    The spatial distribution of crops and farming systems in Africa is determined by the duration of the period during which crop and livestock water requirements are met. The length of growing period (LGP) is normally assessed from weather station data—scarce in large parts of Africa—or coarse-resolution rainfall estimates derived from weather satellites. In this study, we analyzed LGP and its variability based on the 1981–2011 GIMMS NDVI3g dataset. We applied a variable threshold method in combination with a searching algorithm to determine start- and end-of-season. We obtained reliable LGP estimates for arid, semi-arid and sub-humid climates that are consistent in space and time. This approach effectively mapped bimodality for clearly separated wet seasons in the Horn of Africa. Due to cloud contamination, the identified bimodality along the Guinea coast was judged to be less certain. High LGP variability is dominant in arid and semi-arid areas, and is indicative of crop failure risk. Significant negative trends in LGP were found for the northern part of the Sahel, for parts of Tanzania and northern Mozambique, and for the short rains of eastern Kenya. Positive trends occurred across western Africa, in southern Africa, and in eastern Kenya for the long rains. Our LGP analysis provides useful information for the mapping of farming systems, and to study the effects of climate variability and other drivers of change on vegetation and crop suitability.
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    Assessing the potential of dual-purpose maize in southern Africa: A multi-level approach
    (Journal Article, 2013-09) Homann-Kee Tui, Sabine; Blümmel, Michael; Valbuena, Diego; Chirima, A.; Masikati, Patricia; Rooyen, Andre F. van; Kassie, Girma T.
    This paper explores the potential and challenges of increasing production of food and feed on existing maize fields in mixed crop-livestock systems in the semi-arid areas of southern Africa. It integrates results from different sources of data and analysis: 1. Spatial stratification using secondary data for GIS layers: Maize mega-environments combined with recommendation domains for dual-purpose maize were constructed for Malawi, Mozambique and Zimbabwe, stratifying the countries by demand factors (livestock densities and human population densities) and feed availability. Relative biomass contributions to feed resources from rangelands were compared to those from croplands to explore the usefulness of global datasets for feed supply estimations. 2. Verification through farming systems analysis: the potential demand for maize residues as feed (maize cropping patterns, maize yields and uses, feed deficits) was compared at contrasting sites, based on household survey data collected on 480 households in 2010. 3. Maize cultivar analysis: Genotypic variability of maize cultivars was compared to evaluate the potential contribution (stover quantity and quality) of dual-purpose maize to reduce feed deficits. The study results illustrate high spatial variability in the demand for and supply of maize residues. Northern Malawi is characterized by high livestock density, high human population density and high feed availability. Farmers achieve maize yields of more than 2 t/ha resulting in surplus of residues. Although livestock is important, southwest Zimbabwe has low livestock densities, low human populations and low feed availability; farming systems are more integrated and farmers make greater use of maize residues to address feed shortages. Central Mozambique also has low cattle densities, low human populations and low feed availability. More rangelands are available but maize yields are very low and livestock face severe feed shortages. The investigation of 14 advanced CIMMYT maize landraces cultivars and 15 advanced hybrids revealed significant variations in grain and stover yield and fodder quality traits. Where livestock densities are high and alternative feed resources are insufficient, maize cultivars with superior residue yield and fodder quality can have substantial impact on livestock productivity. Cultivars at the higher end of the quality range can provide sufficient energy for providing livestock maintenance requirements and support about 200 g of live weight gain daily. Maize cultivars can be targeted according to primary constraints of demand domains for either stover quantity or stover fodder quality and the paper proposes an approach for this based on voluntary feed intake estimates for maize stover.