458 research outputs found

    Reasoned opinion on the modification of the existing MRLs for cyflufenamid in pome fruits, cucurbits (inedible peel) and gherkins

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    In accordance with Article 6 of Regulation (EC) No 396/2005, France, hereafter referred to as the evaluating Member State (EMS), received an application from the company Nisso Chemical Europe GmbH to modify the existing MRLs for the active substance cyflufenamid in pome fruit (quinces, medlar, loquat), cucurbits with inedible peel (pumpkins, watermelons) and gherkins. In order to accommodate for the intended uses of cyflufenamid, France proposed to raise the existing MRLs from the limit of quantification of 0.02 mg/kg to 0.05 mg/kg in pome fruit and gherkins and 0.04 mg/kg in cucurbits with inedible peel. France drafted an evaluation report in accordance with Article 8 of Regulation (EC) No 396/2005, which was submitted to the European Commission and forwarded to EFSA. According to EFSA the data are sufficient to derive a MRL proposal of 0.06 mg/kg for the intended use on quinces, medlar and loquat in France, 0.05 mg/kg for the intended use on pumpkins and watermelons in France and 0.08 mg/kg for the intended use on gherkins in France. Alternatively, the existing MRLs of 0.05 mg/kg on apples and pears and 0.04 mg/kg on melons, which were derived from the same residue data using the previous valid statistically-based calculation method, could be extrapolated to the whole group of pome fruit and cucurbits with inedible peel, respectively. Adequate analytical enforcement methods are available to control the residues of cyflufenamid in the commodities under consideration. Based on the risk assessment results, EFSA concludes that the proposed use of cyflufenamid on quinces, medlar, loquat, pumpkins, watermelons and gherkins will not result in a consumer exposure exceeding the toxicological reference values and therefore is unlikely to pose a public health concern

    Does Social Policy Meet Social Needs?

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    Summaries This article asks whether social policy in the South meets social needs. We argue that in poor countries, social policy as conventionally designed and delivered leaves the needs of the poor inadequately addressed – and identify two key reasons why this is so. The first is that northern models of social provisioning were transplanted to poor countries with little adaptation to local realities; the second arises from the top?down and sectoral nature of social policy. The result is a mismatch between the provision of social goods and services and actual needs. We propose criteria for assessing whether social policies match needs, and discuss initial steps which might bridge the identified gap

    "Measurement Drives Diagnosis and Response": Gaps in Transferring Food Security Assessment to the Urban Scale

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    The understanding of food security has seen major shifts since the original conceptualisations of the challenge. These changes in understanding have been accompanied by different food security measurement approaches. Despite the fact that the world has become increasingly urbanised and the developing world in particular, is experiencing its own urban transition, changes in food security measurement remain predominantly informed by a rural understanding of food security. In instances where urban measurement does take place, rural-oriented measurement approaches are adopted, occluding critical urban challenges and systemic drivers. This paper begins by highlighting the urban transition and attendant food security challenges in the Global South. It then reflects on existing food security measurement methods, detailing the positive components but also highlighting the shortfalls applicable to the urban context. At the urban scale, a food system assessment is argued to be one appropriate tool to respond to urban food insecurity while at the same time providing both the “breadth and depth” to inform effective food security programming and policy interventions. Theoretically, questions of scale, context and a critique of the rural bias in food systems work are essential informants guiding the approaches applied

    What determines women's participation in collective action? Evidence from a western Ugandan coffee cooperative

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    Women smallholders face greater constraints than men in accessing capital and commodity markets in Sub-Saharan Africa. Collective action has been promoted to remedy those disadvantages. Using survey data of 421 women members and 210 nonmembers of a coffee producer cooperative in Western Uganda, this study investigates the determinants of women's participation in cooperatives and women's intensity of participation. The results highlight the importance of access to and control over land for women to join the cooperative in the first place. Participation intensity is measured through women's participation in collective coffee marketing and share capital contributions. It is found that duration of membership, access to extension services, more equal intrahousehold power relations, and joint land ownership positively influence women's ability to commit to collective action. These findings demonstrate the embeddedness of collective action in gender relations and the positive value of women's active participation for agricultural-marketing cooperatives

    Social circumstances and cultural beliefs influence maternal nutrition, breastfeeding and child feeding practices in South Africa:

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    Maternal and child undernutrition remain prevalent in developing countries with 45 and 11% of child deaths linked to poor nutrition and suboptimal breastfeeding, respectively. This also has adverse effects on child growth and development. The study determined maternal dietary diversity, breastfeeding and, infant and young child feeding (IYCF) practices and identified reasons for such behavior in five rural communities in South Africa, in the context of cultural beliefs and social aspects

    Threats of illegal, unregulated, and unreported fishing to biodiversity and food security in the Republic of the Congo

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    This is the final version. Available on open access from Wiley via the DOI in this recordIllegal, unregulated, and unreported (IUU) fishing poses a major threat to effective management of marine resources, impacting biodiversity and communities dependent on these coastal resources. Spatio-temporal patterns of industrial fisheries in developing countries are often poorly understood, with global efforts describing spatial patterns of fishing vessel activity currently based on automatic identification system (AIS) data. However, AIS is often not a legal requirement on fishing vessels, likely resulting in underestimates of the scale and distribution of legal and illegal fishing activity, which could have significant ramifications for targeted enforcement efforts and the management of fisheries resources. To help address this knowledge gap, we analysed three years of vessel monitoring system (VMS) data in partnership with the national fisheries department in the Republic of the Congo to describe the behaviour of national and distant water industrial fleets operating in these waters. We reveal the spatial footprint of the industrial fisheries fleet encompasses over one quarter of the Exclusive Economic Zone (EEZ), with an average of 73% of fishing activity taking place on the continental shelf (waters shallower than 200 m). In addition, our findings highlight that VMS is not acting as a deterrent or being effectively used as a pro-active management tool, with as much as 33% (13% on average) of fishing effort occurring within prohibited areas set aside to protect biodiversity, including artisanal fisheries resources; with the distant water fleet (DWF) responsible for as much as 84% of this illegal activity. Given the growth in industrial and distant water fleets across the region, as well as low levels of management and enforcement, these findings highlight that there is an urgent need for the global community to help strengthen regional and national capacity to analyse national scale datasets if efforts to combat IUU fishing are to be effective.Darwin InitiativeWaterloo FoundationWAITT Foundatio

    Water quality and its interlinkages with the Sustainable Development Goals

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    Interlinkages among the Sustainable Development Goals (SDGs) lead to important trade-offs and synergies among the goals and their underlying targets. The aim of this paper is to review the role of water quality as an agent of interlinkages among the SDGs. It was found that there are a small number of explicit interconnections, but many more inferred interlinkages between water quality and various targets. A review of case studies showed that interlinkages operate from the municipal to near global scales, that their importance is likely to increase in developing countries, and that new SDG indicators are needed to monitor them. The analysis identifies many different SDG target areas where a combined effort between the water quality community and other sectors would bring mutual benefits in achieving the water quality and other targets

    Global mapping of highly pathogenic avian influenza H5N1 and H5Nx clade 2.3.4.4 viruses with spatial cross-validation.

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    Global disease suitability models are essential tools to inform surveillance systems and enable early detection. We present the first global suitability model of highly pathogenic avian influenza (HPAI) H5N1 and demonstrate that reliable predictions can be obtained at global scale. Best predictions are obtained using spatial predictor variables describing host distributions, rather than land use or eco-climatic spatial predictor variables, with a strong association with domestic duck and extensively raised chicken densities. Our results also support a more systematic use of spatial cross-validation in large-scale disease suitability modelling compared to standard random cross-validation that can lead to unreliable measure of extrapolation accuracy. A global suitability model of the H5 clade 2.3.4.4 viruses, a group of viruses that recently spread extensively in Asia and the US, shows in comparison a lower spatial extrapolation capacity than the HPAI H5N1 models, with a stronger association with intensively raised chicken densities and anthropogenic factors
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