High Seas Fisheries Management Gets Low Marks

Fishing on the high seas—areas beyond the 200-nautical-mile jurisdiction of coastal states—is increasing, largely driven by advanced vessel and gear technology, which facilitates fishing far from shore. High seas fisheries are overseen by various regional fisheries management organizations (RFMOs)—intergovernmental bodies made up of nations that have agreed to cooperatively manage fish stocks beyond their national boundaries. Although RFMOs were established to manage and conserve high seas fish stocks, these populations are declining.To illuminate any contradiction between stated management goals and the status of managed fish stocks, Sarika Cullis-Suzuki and Daniel Pauly, researchers at the University of British Columbia, developed a way to score the performance of RFMOs "on paper" versus "in practice." Their results show that on paper, RFMOs are not meeting best practice standards and, in practice, are failing to halt the dramatic declines of fish stocks for which they have management responsibility

Applying the Gini Coefficient to measure inequality of water use in the Olifants River water management area, South Africa

River basin management / Water stress / Water use / Indicators / Households / Rural areas / Irrigation programs / South Africa / Olifants River

Biotechnology and Plant Productivity

Author Institution: Dept. of Biology, Case Western Reserve UniversityThere is considerable potential for the application of biotechnology and genetic engineering to plant productivity. The basic manipulations for the isolation of genes and their transfer between species are well documented in model systems. However, more information is required concerning the basic processes governing plant productivity at the molecular level before practical applications can be achieved. In this paper, detailed consideration is given to (1) the use of restriction fragment polymorphisms as genetic markers, and (2) the molecular basis of hybrid vigor. In both cases it is clear that these techniques will be adjuncts to the already established methods for plant improvement but with far reaching potential for the future

The quality of group childcare settings used by 3-4 year old children in Sure Start local programme areas and the relationship with child outcomes (Research report DFE-RR068)

"Influenced by research indicating long-term benefits of early childhood programmes for disadvantaged children, the Government of the time set up Sure Start Local Programmes (SSLPs) from 1998 to reduce child poverty and social exclusion. By 2004, 524 SSLPs targeted families with children 0-4 years of age in the 20% most deprived communities. In 2005 it was decided to develop SSLPs further by turning them into children’s centres and roll out the programme nationally, ensuring that comprehensive early education and family support services are available for every community. The National Evaluation of Sure Start has been undertaking research relevant to the development of SSLPs since 2001. This part of the study focuses on 150 SSLP areas from the first four rounds of SSLPs, which are all in deprived areas." - Page iii

Time Preference for Investment in the Environment: The Impact of Intrinsic Motivation

Insights from behavioural economics suggest that individuals rely on different discount rates to assess the present values of gains and losses (the sign effect). They also suggest that individuals rely on different discount rates to assess investment in financial, environmental and health domains. A first objective is to further consider these valence versus domain effects. The second, novel, objective is to question whether individuals are likely to employ a higher discount rate for the benefits of investment if they also derive intrinsic value from action. The analysis focuses on perceptions of intrinsic value derived from action to conserve the environment. Will intrinsic motivation increase the sign effect and the difference between the discount rate in different domains? In a questionnaire survey, we collected data from 450 undergraduate students. Participants made choices between hypothetical financial, environmental and health gains and losses that took effect either immediately, or with a delay of 10 years. Results suggest the presence of valence and domain effects and further suggest that intrinsic motivation over action is likely to increase present bias by increasing the sign effect. This dimension of time preference is likely to have an impact on differences between discount rates in different domains

Optimal strategies for regional cultivar testing

In undertaking cultivar trials, the variability of the response of the cultivars to the different environments in which they are grown introduces the possibility of release errors and non‐release errors in the decisions made on the basis of the trial results. In this article a model is developed that accounts for the economic costs of those errors as well as the costs of operating the trials, and enables the features of the optimal cultivar testing program to be identified. The model is illustrated by application to wheat cultivar trials in central and southern NSW.Crop Production/Industries,

Investigation of rising nitrate concentrations in groundwater in the Eden Valley, Cumbria: Phase 1 project scoping study

This is the Investigation of rising nitrate concentrations in groundwater in the Eden Valley, Cumbria report produced by the Environment Agency in 2003. This report focuses on groundwater nitrate concentrations in the Eden Valley. Most boreholes in the Eden Valley had nitrate concentrations less than 20 mg/l but a significant number had higher concentrations, some exceeding the EC maximum admissible concentration for drinking water of 50 mg/l. The main objectives of this report were to investigate the causes of rising nitrate concentrations in groundwater in the Permo-Triassic sandstone aquifers of the Eden Valley area and provide sufficient understanding of the groundwater and surface water flow system, including the sources of the nitrate contamination and the processes controlling nitrate movement, so that possible management options for reversing this trend can be considered

Genomic Selection in multi-environment crop trials

Genomic selection in crop breeding introduces modeling challenges not found in animal studies. These include the need to accommodate replicate plants for each line, consider spatial variation in field trials, address line by environment interactions, and capture nonadditive effects. Here, we propose a flexible single-stage genomic selection approach that resolves these issues. Our linear mixed model incorporates spatial variation through environment-specific terms, and also randomization-based design terms. It considers marker, and marker by environment interactions using ridge regression best linear unbiased prediction to extend genomic selection to multiple environments. Since the approach uses the raw data from line replicates, the line genetic variation is partitioned into marker and nonmarker residual genetic variation (i.e., additive and nonadditive effects). This results in a more precise estimate of marker genetic effects. Using barley height data from trials, in 2 different years, of up to 477 cultivars, we demonstrate that our new genomic selection model improves predictions compared to current models. Analyzing single trials revealed improvements in predictive ability of up to 5.7%. For the multiple environment trial (MET) model, combining both year trials improved predictive ability up to 11.4% compared to a single environment analysis. Benefits were significant even when fewer markers were used. Compared to a single-year standard model run with 3490 markers, our partitioned MET model achieved the same predictive ability using between 500 and 1000 markers depending on the trial. Our approach can be used to increase accuracy and confidence in the selection of the best lines for breeding and/or, to reduce costs by using fewer markers