When the type of move matters: employee outcomes under various relocation situations

The type of job change associated with relocation and the type of relocation decision were examined as predictors of post‐move attitudes and intentions. Employees who relocated for a lateral or downward job change reported lower perceived organizational support and higher turnover intentions than those who relocated for a promotion. Further, those taking downward moves or moving involuntarily had lower perceptions of support and higher intentions to quit than lateral relocators and voluntary relocators, respectively. Copyright © 2000 John Wiley & Sons, Ltd.     

The theory behind,and the challenges of,conserving nature's stage in a time of rapid change

Most conservation planning to date has focused on protecting today's biodiversity with the assumption that it will be tomorrow's biodiversity. However, modern climate change has already resulted in distributional shifts of some species and is projected to result in many more shifts in the coming decades. As species redistribute and biotic communities reorganize, conservation plans based on current patterns of biodiversity may fail to adequately protect species in the future. One approach for addressing this issue is to focus on conserving a range of abiotic conditions in the conservation‐planning process. By doing so, it may be possible to conserve an abiotically diverse “stage” upon which evolution will play out and support many actors (biodiversity). We reviewed the fundamental underpinnings of the concept of conserving the abiotic stage, starting with the early observations of von Humboldt, who mapped the concordance of abiotic conditions and vegetation, and progressing to the concept of the ecological niche. We discuss challenges posed by issues of spatial and temporal scale, the role of biotic drivers of species distributions, and latitudinal and topographic variation in relationships between climate and landform. For example, abiotic conditions are not static, but change through time—albeit at different and often relatively slow rates. In some places, biotic interactions play a substantial role in structuring patterns of biodiversity, meaning that patterns of biodiversity may be less tightly linked to the abiotic stage. Furthermore, abiotic drivers of biodiversity can change with latitude and topographic position, meaning that the abiotic stage may need to be defined differently in different places. We conclude that protecting a diversity of abiotic conditions will likely best conserve biodiversity into the future in places where abiotic drivers of species distributions are strong relative to biotic drivers, where the diversity of abiotic settings will be conserved through time, and where connectivity allows for movement among areas providing different abiotic conditions.     

A 2.5‐million‐year perspective on coarse‐filter strategies for conserving nature's stage

Climate change will require novel conservation strategies. One such tactic is a coarse‐filter approach that focuses on conserving nature's stage (CNS) rather than the actors (individual species). However, there is a temporal mismatch between the long‐term goals of conservation and the short‐term nature of most ecological studies, which leaves many assumptions untested. Paleoecology provides a valuable perspective on coarse‐filter strategies by marshaling the natural experiments of the past to contextualize extinction risk due to the emerging impacts of climate change and anthropogenic threats. We reviewed examples from the paleoecological record that highlight the strengths, opportunities, and caveats of a CNS approach. We focused on the near‐time geological past of the Quaternary, during which species were subjected to widespread changes in climate and concomitant changes in the physical environment in general. Species experienced a range of individualistic responses to these changes, including community turnover and novel associations, extinction and speciation, range shifts, changes in local richness and evenness, and both equilibrium and disequilibrium responses. Due to the dynamic nature of species responses to Quaternary climate change, a coarse‐filter strategy may be appropriate for many taxa because it can accommodate dynamic processes. However, conservationists should also consider that the persistence of landforms varies across space and time, which could have potential long‐term consequences for geodiversity and thus biodiversity.     

Dichloroacetate- and trichloroacetate-induced modulation of superoxide dismutase,catalase, and glutathione peroxidase activities and glutathione level in the livers of mice after subacute and subchronic exposures

Dichloroacetate (DCA) and trichloroacetate (TCA) were previously found to induce various levels of oxidative stress in the hepatic tissues of mice after subacute and subchronic exposures. The cells are known to have several protective mechanisms against production of oxidative stress by different xenobiotics. To assess the roles of the antioxidant enzymes and glutathione (GSH) in DCA- and TCA-induced oxidative stress, groups of B6C3F1 mice were administered either DCA or TCA at doses of 7.7, 77, 154, and 410 mg kg^?1 day^?1, by gavage for 4 weeks (4-W) and 13 weeks (13-W), and superoxide dismutase (SOD), catalase (CAT), and glutathione peroxidase (GSH-Px) activities, as well as GSH were determined in the hepatic tissues. DCA at doses ranging between 7.7–410, and 7.7–77 mg kg^?1 day^?1, given for 4-W and 13-W, respectively, resulted in either suppression or no change in SOD, CAT, and GSH-Px activities, but doses of 154–410 mg DCA kg^?1 day^?1 administered for 13-W were found to result in a significant induction of the three enzyme activities. TCA administration on the other hand, resulted in increases in the SOD and CAT activities, but caused suppression of GSH-Px activity in both the periods. Except for the DCA doses of 77–154 mg kg^?1 day^?1 administered for 13-W that resulted in a significant reduction in the GSH levels, all other DCA as well as TCA treatments produced no changes in GSH. Since these enzymes are involved in the detoxification of the reactive oxygen species (ROS), superoxide anion (SA), and H₂O₂, it is concluded that SA is the main contributor to DCA-induced oxidative stress, while both ROS contribute to that of TCA. The increase in the enzyme activities associated with 154–410 mg DCA kg^1? day^?1 in the 13-W period suggest their role as protective mechanisms contributing to the survival of cells modified in response to those treatments.     

Broad and narrow measures on both sides of the personality–job performance relationship

Two studies compared specific versus broad measures in linking personality with work behavior. In Study 1, 100 university students completed the 20 subscales of the Personality Research Form and an in‐basket exercise scored on 16 distinct managerial behaviors. In Study 2, 335 market research field representatives completed the Hogan Personality Inventory, containing 41 specific trait scales organized into seven primary scales, and were rated by their supervisors on seven performance dimensions. In both studies, significant linkages between broad personality and criterion variables (e.g., factors) were explained by stronger relations among relatively few specific variables. Moreover, consistent with prior research, weak relations among broad measures obscured important linkages at the specific level, including several cases of cancellation (i.e., specific traits loading the same factor in the same direction correlated with criteria in opposite directions). Canonical correlations with appropriate shrinkage correction revealed notable improvements in criterion validity over inter‐factor correlations and helped summarize the data while retaining the diagnostic advantages of specificity. Our findings are unique by demonstrating the value of specificity on both sides of the prediction equation. Implications for personnel selection are discussed. Copyright © 2003 John Wiley & Sons, Ltd.     

The penetration of formulated guthion® spray through selected fabrics

Abstract

A technique for comparing pesticide penetration through fabric was devised. It involved passing fabric swatches through a controlled spray system and measuring the pesticide residue transferring on and through the tested fabric. Six variations in fabric were selected for testing: 100% cotton woven chambray,

Scotch‐guard^® treated chambray, Tyvek^® , Crowntex^® , and two variations of Gore Tex^®. Guthion^® (azinphos‐methyl) was chosen as the insecticide for controlled use in this experiment because of its widespread use and relatively high toxicity.

Gas Chromatographie analysis of the amount of Guthion^® transferred through the outer fabric was made by the use of analysis of variance (ANOVA) and Duncan's multiple range test. The ANOVA for experiment replication showed no significant difference among the replications of each fabric. The treatment ANOVA was highly significant at the 0.01 level.

Duncan's multiple range test further analyzed the differences in the treatment, and three groups were found to be significantly different from each other. The two types of Gore Tex^®, Tyvek^® and Crowntex^® comprised the group permitting the least penetration. Scotch‐guard^® treated chambray followed, and untreated chambray allowed the greatest penetration.     

A spatially explicit framework for quantifying downstream hydrologic conditions

Continued improvements in spatial datasets and hydrological modeling algorithms within Geographic Information Systems (GISs) have enhanced opportunities for watershed analysis. With more detailed hydrology layers and watershed delineation techniques, we can now better represent and model landscape to water quality relationships. Two challenges in modeling these relationships are selecting the appropriate spatial scale of watersheds for the receiving stream segment, and handling the network or pass-through issues of connected watersheds. This paper addresses these two important issues for enhancing cumulative watershed capabilities in GIS. Our modeling framework focuses on the delineation of stream-segment-level watershed boundaries for 1:24 000 scale hydrology, in combination with a topological network model. The result is a spatially explicit, vector-based, spatially cumulative watershed modeling framework for quantifying watershed conditions to aid in restoration. We demonstrate the new insights available from this modeling framework in a cumulative mining index for the management of aquatic resources in a West Virginia watershed.