A new dispersive liquid–liquid microextraction, magnetic stirrer induced dispersive ionic-liquid microextraction (MS-IL-DLLME) was developed to quantify the trace level of vanadium in real water and food samples by graphite furnace atomic absorption spectrometry (GFAAS). In this extraction method magnetic stirrer was applied to obtained a dispersive medium of 1-butyl-3-methylimidazolium hexafluorophosphate [C4MIM][PF6] in aqueous solution of (real water samples and digested food samples) to increase phase transfer ratio, which significantly enhance the recovery of vanadium – 4-(2-pyridylazo) resorcinol (PAR) chelate. Variables having vital role on desired microextraction methods were optimised to obtain the maximum recovery of study analyte. Under the optimised experimental variables, enhancement factor (EF) and limit of detection (LOD) were achieved to be 125 and 18ngL−1, respectively. Validity and accuracy of the desired method was checked by analysis of certified reference materials (SLRS-4 Riverine water and NIST SRM 1515 Apple leaves). The relative standard deviation (RSD) for 10 replicate determinations at 0.5μgL−1 of vanadium level was found to be <5.0%. This method was successfully applied to real water and acid digested food samples.

Existing strategies for management of water scarcity in the Middle East and North Africa negotiate a complex system of trade-offs between water, energy, and food production. The effects of rural households' green water management practices on basin-level water, energy, food and carbon stocks and flows are sketched qualitatively in six basin agro-ecosystems. The case for increased strategic support for green agricultural water management practices appears stronger when weighed from the nexus perspective, rather than purely from the point of view of water balance and food production. Trade-offs under critical transitions affecting agricultural water use are explored, and the scope for quantitative monitoring is discussed. © 2015, © 2015 Taylor & Francis.

The survey was conducted by the Center for Environmental Economics and Policy in Africa (CEEPA), University of Pretoria, in collaboration with the International Food Policy Research Institute (IFPRI). Funding for the survey was provided by the Federal Ministry for Economic Cooperation and Development (Germany). The project forms part of the Consultative Group on International Agricultural Research (CGIAR)’s Challenge Program on Water and Food (CPWF).; Dataset Citation: Food and Water Security under Global Change: Developing Adaptive Capacity with a Focus on Rural Africa. South Africa Limpopo Basin Climate Change Adaptation dataset. 2010. Washington, D.C.: International Food Policy Research Institute (IFPRI) (datasets).; Data file format(s): STATA, EXCEL; Principal contact: Yan Sun; Principal researcher: Claudia Ringler | This household survey was conducted as part of a project aimed to provide policymakers and stakeholders in South Africa with tools to better understand, analyze, and form policy decisions to adapt to global change. The survey was conducted in the Limpopo River Basin in South Africa during 2005. A total of 794 households from 19 districts, in 5 Water Management Areas (WMAs), across 4 provinces of South Africa were sampled. The South Africa sample was designed to capture the diverse agricultural patterns in the basin area: farming strata, type of cultivation (dry land and irrigation), major and minor crops and livestock, and all the sub-catchment areas in each of the 5 WMAs. Topics covered include household roaster including background information, farm and non-farm activities, assets, basic services, disease, shocks; land ownership and land holdings; farm machinery, farm buildings, wells and pumps, and wage rates; crop production including production cost and income for seasonal crops and for perennial crops; crop water use; livestock production; access to extension, markets and credit; expenditures on food and income; and climate change and adaptation options. | External publication used this dataset: Oyekale, Abayomi Samuel; and Vutela-Tekana, Sibongile Sylvia. 2012. A factor component analysis of the sources of income inequality in the Limpopo River Basin of South Africa. Life Science Journal 9(3): 720-725. http://www.lifesciencesite.com/lsj/life0903/101_8983life0903_720_725.pdf | EPTD | IFPRI1

Existing strategies for management of water scarcity in the Middle East and North Africa negotiate a complex system of trade-offs between water, energy, and food production. The effects of rural households' green water management practices on basin-level water, energy, food and carbon stocks and flows are sketched qualitatively in six basin agro-ecosystems. The case for increased strategic support for green agricultural water management practices appears stronger when weighed from the nexus perspective, rather than purely from the point of view of water balance and food production. Trade-offs under critical transitions affecting agricultural water use are explored, and the scope for quantitative monitoring is discussed.

Book | COM; MTID; DGO; EPTD; PHND; WCAO | De acuerdo con el Índice Global del Hambre (GHI, por sus siglas en inglés) de 2012, el hambre a nivel mundial ha disminuido algo desde 1990 pero continúa siendo “serio”. El promedio global enmascara diferencias dramáticas entre regiones y países. A nivel regional, los mayores puntajes del GHI se encuentran en Asia meridional y en el África Subsahariana. Asia meridional redujo sus puntajes de GHI de forma significativa entre 1990 y 1996 —principalmente a través de una reducción en la proporción de niños con bajo peso— pero no pudo mantener este rápido progreso. Y aunque el África Subsahariana progresó menos que Asia meridional en la década de 1990, ha logrado reducir la brecha a partir del nuevo milenio, con un puntaje del GHI en 2012 apenas por debajo del obtenido por Asia meridional. | IFPRI2; GRP24 | Non-PR

Over the coming decades, global change will have an impact on food and water security in significant and highly uncertain ways, and there are strong indications that developing countries will bear the brunt of the adverse consequences, particularly from climate change. This is largely because poverty levels are high, and developing-country capacity to adapt to global change is weak. Furthermore, the rural populations of developing countries—for whom agricultural production is the primary source of direct and indirect employment and income—will be most affected due agriculture’s vulnerability to global change processes. The agricultural sector is the largest consumer of water resources, and variability in water supply has a major influence on health and welfare in poor areas. With water scarcity and extreme weather events expected to increase under climate change, water security could decline significantly in rural areas. Consequently, it is important to understand the impacts of global change (in terms of climate, demography, technology, and so on) on agriculture and natural resources in developing countries and to develop adaptive capacity to respond to these impacts. Moreover, there is a need to develop informed and effective adaptation measures and investment options that can be taken now to alleviate adverse impacts of global change in the future. | Non-PR | IFPRI1; GRP38 | EPTD

Noroviruses (genogroup I (NoV GI) and genogroup II (NoV GII)) and the hepatitis A virus (HAV) are frequently involved in foodborne infections worldwide. They are mainly transmitted via the fecal–oral route, direct person-to-person contact or consumption of contaminated water and foods. In food virology, detection methods are currently based on identifying viral genomes using real-time reverse transcriptase PCR (RT-qPCR). One of the general requirements for detecting these viruses in food involves the use of a process control virus to monitor the quality of the entire viral extraction procedure as described in the ISO/TS 15216-1 and 15216-2 standards published in 2013. The selected process control virus should have similar morphological and physicochemical properties as the screened pathogenic virus and thus have the potential to provide comparable extraction efficiency.The aim of this study was to determine which virus should be used for process control, murine norovirus (MNV-1) or Mengovirus, when testing for the presence of HAV, NoV GI and NoV GII in bottled water, lettuce and semi-dried tomatoes. Food samples were spiked with HAV, NoV GI or NoV GII alone or in the presence of MNV-1 or Mengovirus. Recovery rates of each pathogenic virus were compared to those of both process control viruses using a multiple comparison procedure. Neither process control virus influenced the recovery of pathogenic virus regardless of the type of food matrix. MNV-1 was the most appropriate virus for validating the detection of HAV and NoV GII in all three food matrices as well as NoV GI in lettuce. Mengovirus proved to be the most appropriate control for NoV GI detection in bottled water and semi-dried tomatoes.The process control virus is essential for validating viral detection in food and the choice of virus depends on food type and the screened pathogenic virus.

The aim of this study was to estimate both the contribution of drinking water and food (raw and cooked) to the total (t-As) and inorganic (i-As) arsenic intake and the exposure of inhabitants of Socaire, a rural village in Chile´s Antofagasta Region, by using urine as biomarker. The i-As intake from food and water was estimated using samples collected between November 2008 and September 2009. A 24-hour dietary recall questionnaire was given to 20 participants. Drinking water, food (raw and cooked) and urine samples were collected directly from the homes where the interviewees lived. The percentage of i-As/t-As in the drinking water that contributed to the total intake was variable (26.8–92.9). Cereals and vegetables are the food groups that contain higher concentrations of i-As. All of the participants interviewed exceeded the reference intake FAO/OMS (149.8 µg∙i-As·day−1) by approximately nine times. The concentration of t-As in urine in each individual ranged from 78 to 459 ng·mL−1. Estimated As intake from drinking water and food was not associated with total urinary As concentration. The results show that both drinking water and food substantially contribute to i-As intake and an increased exposure risk to adult residents in contaminated areas.

The Future Earth Water-Energy-Food (W-E-F) cluster project and the Texas AM University System (TAMUS) collaborated to hold a workshop in Washington, DC on June 1-3, 2015. The workshop, entitled “Research gaps in the integrated observations and improved governance for the W-E-F Nexus,” constituted the first of four regional workshops planned as part of the Future Earth W-E-F cluster. The workshop included more than 75 experts representing a broad spectrum of education, government, international, and industrial groups that work in the water, energy, and food sectors, and their connections to science, policy, and society. Attendees included experts from the National Aeronautics and Space Agency (NASA), the United States Department of Agriculture (USDA), the US Department of Energy (DOE), the Environmental Protection Agency (EPA), the National Science Foundation (NSF), the National Oceanic and Atmospheric Administration (NOAA), and the United States Agency for International Development (USAID); participants affiliated with US universities in Texas, Maryland, Colorado, Indiana, Michigan, and Pennsylvania; international experts from Germany, Japan, Switzerland, and Canada; and private sector representation from Abengoa, RAND, and the Battelle Memorial Institute. Among these participants were representatives from Future Earth programs such as the Global Energy and Water Exchanges, the Sustainable Water Future, and the Global Land Projects. Through these connections, the workshop facilitated outreach by the W-E-F Research Group at TAMUS to government departments, universities, and stakeholders in the United States and abroad. It also provided Future Earth with a North American perspective on W-E-F Nexus issues and activities.

Artículo de publicación ISI | The aim of this study was to estimate both the contribution of drinking water and food (raw and cooked) to the total (t-As) and inorganic (i-As) arsenic intake and the exposure of inhabitants of Socaire, a rural village in Chile ' s Antofagasta Region, by using urine as biomarker. The i-As intake from food and water was estimated using samples collected between November 2008 and September 2009. A 24-hour dietary recall questionnaire was given to 20 participants. Drinking water, food (raw and cooked) and urine samples were collected directly from the homes where the interviewees lived. The percentage of i-As/t-As in the drinking water that contributed to the total intake was variable (26.8-92.9). Cereals and vegetables are the food groups that contain higher concentrations of i-As. All of the participants interviewed exceeded the reference intake FAO/OMS (149.8 mu g.i-Asday(-1)) by approximately nine times. The concentration of t-As in urine in each individual ranged from 78 to 459 ngmL(-1). Estimated As intake from drinking water and food was not associated with total urinary As concentration. The results show that both drinking water and food substantially contribute to i-As intake and an increased exposure risk to adult residents in contaminated areas. | CSIC-USACH