What's New? Reaching Working Adults with English for Speakers of Other Languages (ESOL) Instruction, A Best Practices Report

In July 2001 the Center for Impact Research (CIR) completed a needs assessment, Barriers to English Language Learners in the Chicago Metropolitan Area, which detailed the needs of immigrant working adults for English instruction and determined the barriers they faced in learning English. CIR's 2001 report documented the fact that many of these employed immigrants take advantage of overtime, hold down two jobs, and are often subject to changing or rotating work schedules that make attendance at regularly scheduled classes difficult. Evening English for Speakers of Other Languages (ESOL) classes that occur twice a week lasting between one-and-a-half to three hours also present difficulties, because they interfere with parenting and family duties; fatigue of the attendees after a long day's work also makes learning problematic. Some Friday evening and Saturday morning classes are available, but seldom are there any classes on Sundays. ESOL providers report that they are unable to schedule weekend classes because of the lack of trained and qualified teachers who are willing to work on Saturdays and Sundays. Volunteer tutors could assist ESOL learners, but they too are reluctant to make commitments for weekend hours. The metropolitan Chicago ESOL system faces an additional problem in that it cannot meet the needs of those immigrants who are interested in, and able to attend ESOL classes. CIR's analysis of demographic data finds an estimated total population of potential English Language Learners 18 years of age or older in the Chicago metropolitan area in 2000 at 277,700. According to the Illinois Community College Board, in Fiscal Year 2001 68,815 adults in the Chicago metropolitan area received some ESOL instruction through programs funded by the Board, meaning that only about one-quarter of the need was able to be met. Sixty-two percent of these learners were in beginning ESOL classes. Many area ESOL providers report long waiting lists for ESOL classes, and some say they are implementing lotteries for classroom places. How then, can ESOL learning be reorganized to enable adult learners who are employed to upgrade their English language skills? Can ESOL services be offered along a continuum, with systems providing various services, geared to immigrants with differing levels of commitment to learning English, as well as changing or rotating schedules and time limitations? How can effective learning opportunities be offered in the home, at the workplace, and in accessible community locations, such as shopping centers and churches

Predicting global invasion risks: a management tool to prevent future introductions

Predicting regions at risk from introductions of non-native species and the subsequent invasions is a fundamental aspect of horizon scanning activities that enable the development of more effective preventative actions and planning of management measures. The Asian cyprinid fish topmouth gudgeon Pseudorasbora parva has proved highly invasive across Europe since its introduction in the 1960s. In addition to direct negative impacts on native fish populations, P. parva has potential for further damage through transmission of an emergent infectious disease, known to cause mortality in other species. To quantify its invasion risk, in regions where it has yet to be introduced, we trained 900 ecological niche models and constructed an Ensemble Model predicting suitability, then integrated a proxy for introduction likelihood. This revealed high potential for P. parva to invade regions well beyond its current invasive range. These included areas in all modelled continents, with several hotspots of climatic suitability and risk of introduction. We believe that these methods are easily adapted for a variety of other invasive species and that such risk maps could be used by policy-makers and managers in hotspots to formulate increased surveillance and early-warning systems that aim to prevent introductions and subsequent invasions

Novel methods improve prediction of species' distributions from occurrence data

Prediction of species' distributions is central to diverse applications in ecology, evolution and conservation science. There is increasing electronic access to vast sets of occurrence records in museums and herbaria, yet little effective guidance on how best to use this information in the context of numerous approaches for modelling distributions. To meet this need, we compared 16 modelling methods over 226 species from 6 regions of the world, creating the most comprehensive set of model comparisons to date. We used presence-only data to fit models, and independent presence-absence data to evaluate the predictions. Along with well-established modelling methods such as generalised additive models and GARP and BIOCLIM, we explored methods that either have been developed recently or have rarely been applied to modelling species' distributions. These include machine-learning methods and community models, both of which have features that may make them particularly well suited to noisy or sparse information, as is typical of species' occurrence data. Presence-only data were effective for modelling species' distributions for many species and regions. The novel methods consistently outperformed more established methods. The results of our analysis are promising for the use of data from museums and herbaria, especially as methods suited to the noise inherent in such data improve