Inf luence of Season and a Sympatric Congener on Habitat Use by Stephens' Kangaroo Rat

We examined habitat use by the endangered Stephens' kangaroo rat ( Dipodomys stephensi) in different seasons and assessed whether this may be influenced by a sympatric congener, the Pacific kangaroo rat (Dipodomys agilis). Trapping on three plots over 2 years revealed these species were rarely captured at the same trap stations. Spatial segregation was highly significant when both species were at high density. The spatial distribution of these species was temporally stable where both species were relatively abundant, but where D. agilis was relatively uncommon the distribution of D. stephensi varied from one census to another. The abundance of three microhabitats (grass, debris, and bare ground) followed a regular seasonal pattern of variation that was consistent across 2 years of substantially different rainfall. A canonical discriminant analysis showed that the five quantified microhabitats (those above and bush and rock cover) provided highly significant discrimination between the trap stations occupied by the two species. Dipodomys stephensi was associated with trap stations where grass cover and bare ground were abundant but where bush and rock were uncommon. Dipodomys agilis was associated with stations that had large amounts of bare ground and average abundances of bush and rock cover. The spatial segregation of these species appears to be mediated by habitat preferences; D. stephensi prefers grassland and D. agilis prefers sage scrub. This suggests that habitat management for D. stephensi should include (1) controlling the spread of shrubs into grassland and (2) creating dispersal corridors of open habitat to link areas of suitable habitat where none presently exist. Each of these options may be needed to maintain viable populations in all reserves designated for the conservation of D. stephensi.     

Familial X centromere variant resulting in false-positive prenatal diagnosis of monosomy X by interphase FISH

Interphase fluorescent in situ hybridization (FISH) analysis performed on uncultured amniotic fluid cells from a female fetus revealed a single signal using an X chromosome alpha-satellite probe, and the absence of any signal using a Y chromosome alpha-satellite probe. This result was initially interpreted as monosomy for the X chromosome in the fetus. Subsequent chromosome analysis from the cultured amniotic fluid cells showed two apparently normal X chromosomes. FISH using the X alpha-satellite probe on metaphase spreads revealed hybridization to both X chromosomes, although one signal was markedly reduced compared to the other. The same hybridization pattern was observed in the mother of the fetus. This is the first report of a rare familial X centromere variant resulting in a false-positive diagnosis of monosomy X by interphase FISH analysis for prenatal diagnosis. Copyright © 2001 John Wiley & Sons, Ltd.     

Understanding non-industrialized workers' approaches to safety: How do commercial fishermen “stay safe”?

BACKGROUND: Commercial fishing is carried out worldwide, often in non-industrialized forms, and is associated with high rates of fatal and non-fatal occupational injury. PROBLEM: Fishermen who work independently in non-industrialized settings do not have access to union or industry sponsored safety services and must make their own decisions about safety practices. Learning the meaning of safety for them and the safety measures they employ is important before developing interventions. METHODS: Two fieldworkers conducted in-depth ethnographic interviews with 31 commercial fishermen in North Carolina. Interviews and fieldnotes were analyzed using QSR N5. RESULTS: Fishermen primarily related staying safe to work practices and attitudes. They identified specific safety measures, appropriate gear and boat maintenance, weather decisions, and working cooperatively when ocean fishing. DISCUSSION: The ethnographic research process can produce information about a group's norms of preventive behavior and safety concerns. Knowledge of workers' concepts and practices will inform researchers' inquiries.     

Prediction of DOM removal of low specific UV absorbance surface waters using HPSEC combined with peak fitting

High performance size exclusion chromatography (HPSEC) is used in water quality research primarily to determine the molecular weight distribution of the dissolved organic matter (DOM), but by applying peak fitting to the chromatogram, this technique can also be used as a tool to model and predict DOM removal. Six low specific UV absorbance (SUVA) source waters were treated using coagulation with alum and both the source and treated water samples were analysed using HPSEC. By comparing the molecular weight profiles of the source and treated waters, it was established that several DOM components were not effectively removed by alum coagulation even after high dosage alum treatment. A peak-fitting technique was applied based on the concept of linking the character (molecular weight profile) of the recalcitrant organics in the treated water with those of the source water. This was then applied to predict DOM treatability by determining the areas of the peaks which were assigned to removable organics from the source water molecular weight profile after peak fitting, and this technique quantified the removable and non-removable organics. The prediction was compared with the actual dissolved organic carbon (DOC) removal determined from jar testing and showed good agreement, with variance between 2% and 10%. This confirmed that this prediction approach, which was originally developed for high SUVA waters, can also be applied successfully to predict DOC removal in low SUVA waters.     

Importance of data management in a long-term biological monitoring program

The long-term Biological Monitoring and Abatement Program (BMAP) has always needed to collect and retain high-quality data on which to base its assessments of ecological status of streams and their recovery after remediation. Its formal quality assurance, data processing, and data management components all contribute to meeting this need. The Quality Assurance Program comprehensively addresses requirements from various institutions, funders, and regulators, and includes a data management component. Centralized data management began a few years into the program when an existing relational database was adapted and extended to handle biological data. The database??s main data tables and several key reference tables are described. One of the most important related activities supporting long-term analyses was the establishing of standards for sampling site names, taxonomic identification, flagging, and other components. The implemented relational database supports the transmittal of data to the Oak Ridge Environmental Information System (OREIS) as the permanent repository. We also discuss some limitations to our implementation. Some types of program data were not easily accommodated in the central systems, and many possible data-sharing and integration options are not easily accessible to investigators. From our experience we offer data management advice to other biologically oriented long-term environmental sampling and analysis programs.     

USING A CHOICE MODELLING APPROACH FOR CUSTOMER SERVICE STANDARDS IN URBAN WATER1

ABSTRACT: A series of reforms in the water industry in Australia has created a demand from the industry and regulators for objective methodologies to evaluate incremental changes in the customer service standards. In this paper, the use of choice modeling for estimating implicit prices associated with urban water supply attributes is explored. Results from multinomial logit (MNL) and random parameters logit (RPL) models show that increases in annual water bills and the frequency of future interruptions were the most important attributes. Implicit price confidence intervals based on the best models suggest that people are willing to pay positive amounts to achieve a water supply that is less frequently interrupted. The provision of alternative water supplies during an interruption and notification of the interruption were found to be unimportant to respondents. Choice modeling proved to be a useful technique and provided the industry and regulators with additional information for standard setting.