Many problems and challenges of ecosystem management currently are driven by the rapid pace and spatial extent of landscape
change. Parks and reserves within areas of high human population density are especially challenged to meet the recreational
needs of local populations and to preserve valued environmental resources. The complex problem of managing multiple objectives
and multiple resources requires an enormous quantity of information, and conceptual models have been proposed as tools for
organizing and interpreting this information. Academics generally prefer a bottom-up approach to model construction that emphasizes
ecologic theory and process, whereas managers often use a top-down approach that takes advantage of existing information to
address more pragmatic objectives. The authors propose a formal process for developing, applying, and testing conceptual models
to be used in landscape monitoring that reconciles these seemingly opposing perspectives. The four-step process embraces the
role of hypothesis testing in the development of models and evaluation of their utility. An example application of the process
to a network of national parks in and around Washington, DC illustrates the ability of the approach to systematically identify
monitoring data that would both advance ecologic theory and inform management decisions. 相似文献
Two experiments examined clinical validation's ability to increase examination of a persuasive message and increase long-term recycling. In Experiment 1, validating (acknowledging) recycling's inconvenience decreased criticism of the persuasive message, supporting validation's ability to reduce reactance and open the reader to new ideas. Validation did not improve attitudes towards the sign's author, removing liking for the communicator as an alternate explanation for attitude change. In Experiment 2, different recycling signs were created from a 2(no validation/validation) by 2(weak/strong arguments) factorial design, and placed in university buildings. The validation weak sign increased recycling more than the validation strong sign, especially after the signs were removed. We suggest that validation induced people to scrutinize the weak message and use their existing pro-recycling attitudes to “creatively elaborate” it. Discussion emphasizes clinical validation and the Elaboration Likelihood Model as theoretical tools, as well as the potential for thought provoking signs to have long-term effects. 相似文献
Objective: The effect of traffic signs on the behavior of drivers is not completely understood. Knowing about how humans process the meaning of signs (not just by learning but instinctively) will improve reaction time and decision making when traveling. The economic, social, and psychological consequences of car accidents are well known.
Methods: This study sounds out which traffic signs are more ergonomic for participants, from a cognitive point of view, and determines, at the same time, their effect in participants' movement trajectories in a driving simulation task.
Results: Results point out that the signs least representative of their meaning produce a greater deviation from the center of the road than the most representative ones.
Conclusions: This study encourages both an in-depth analysis of the effect on movement of roadside signs and the study of how this effect can be modified by the context in which these signs are presented (with the aim to move the research closer to and analyze the data in real contexts). The goal is to achieve clarity of meaning and lack of counterproductive effects on the trajectory of representative signs (those that provoke fewer mistakes in the decision task). 相似文献
Safety culture relates to injuries and safety incidents in organizations, but is difficult to asses and measure. We describe a preliminary test of assessing an organization's safety culture by examining employee interpretations of organizational safety artifacts (safety signs).
Method
We collected data in three organizations using a new safety culture assessment tool that we label the Safety Artifact Interpretation (SAI) scale; we then crossed these data with safety climate and leadership evaluations.
Results
SAI were interpreted by employees in accordance with two conceptually distinct themes that are salient in the literature on organizational safety culture: safety compliance and commitment to safety. A significant correlation exists between SAI scores and the organizational safety climate. A similar (though insignificant) relationship was observed between SAI scores and leadership ratings.
Impact on industry
Employee perceptions and interpretations of safety artifacts can facilitate assessments of safety culture and can ultimately lead to understanding of and improvements in the level of organizational safety. 相似文献