A method of approach to landscape stability. Part 1: Fundamentals and methodology

A four-stage method of providing conditions for improving the stability of a landscape sector is presented. In the first stage, structure and function of the landscape system is examined, predominantly based on the results of monitoring. In the second stage, a method is suggested for applying monitoring data to a dynamic structure with complex functions of the territory under examination. In the third stage, the territory is optimized as to the function of particular components within it. The optimization consists in controlling the dynamics of the flows of material, energy, and population within the sector. In the fourth stage, the holistic function of the landscape strip should be monitored with respect to representative key factors. The entire concept is based on assuming the existence of destabilizing processes leading to ecocritical situations and determining mitigating factors using heuristic methods of optimization.     

A method of approach to landscape stability. Part 2: Ecooptimization of experimental territorial landscape segment in Bohemian forest

The method of anthropoecological landscape stability (AELS) has been applied experimentally to a territorial unit, forming a closed watershed with more of less precisely defined material, energy, and population flows. This article presents data-driven results of monitoring and conclusions on optimizing features derived from two object-oriented expert systems—the FORELIS, giving heuristically optimal conditions for forest compositions on the site in the prevailing immission situation, and AGRILIS—the agricultural expert system having the scope of finding suitable forms of agriculture with respect to natural conditions and suitable actual production facilities. The results of the study fully confirmed the feasibility of applying expert systems to actual conditions, and no significant errors in the results of the expert systems compared to indications by monitoring have been disclosed.     

Visitor Proficiency Profiling and Risk Communication at a National Park

While cognitive heuristics may produce successful, efficient outcomes, they can also introduce predictable biases that may be unavoidable even for seasoned experts. This study connects the concept of “professional intuition” to the practice of strategic communication, suggesting that people may rely on heuristics to profile an audience. These judgments, in turn, influence crafting of communication to meet the audiences’ assumed needs, the defining element of an audience-centered approach. Using interview and observational data, this study examines how national park staff use heuristic cues to evaluate visitors during face-to-face interactions. The assessments employees make, in turn, influence whether they encourage or discourage visitors from participating in inherently risky recreational activities. This visitor proficiency profiling, together with the strategic communication strategies employed, extends audience-centered communication to include both informal messages as well as individuals not necessarily trained as risk communicators. Both applied and theoretical implications of this research are considered.     

The impact of an efficient collection sites location on the zoning phase in municipal solid waste management

In this paper, we study two decisional problems arising when planning the collection of solid waste, namely the location of collection sites (together with bin allocation) and the zoning of the service territory, and we assess the potential impact that an efficient location has on the subsequent zoning phase. We first propose both an exact and a heuristic approach to locate the unsorted waste collection bins in a residential town, and to decide the capacities and characteristics of the bins to be located at each collection site. A peculiar aspect we consider is that of taking into account the compatibility between the different types of bins when allocating them to collection areas. Moreover, we propose a fast and effective heuristic approach to identify homogeneous zones that can be served by a single collection vehicle. Computational results on data related to a real-life instance show that an efficient location is fundamental in achieving consistent monetary savings, as well as a reduced environmental impact. These reductions are the result of one vehicle less needed to perform the waste collection operations, and an overall traveled distance reduced by about 25% on the average.     

Dead indoor plants strengthen belief in global warming

Studies have revealed that heuristics and accessible schemas may affect people's judgments about global warming. In two studies, participants were asked to report on beliefs regarding global warming while seated in a room in which a small tree or several trees had been placed. In one experimental condition, the tree possessed its foliage whereas in the other, the branches were bare. It was found that participants were more likely to believe in global warming in presence of the tree without foliage (Study 1), that this belief increased in presence of three rather than one tree without foliage (Study 2), and that other beliefs not related to global warming were not affected by the experimental conditions. These results reveal that surrounding physical cues do affect beliefs about global warming. The spreading activation theory is used to explain these results.     

Simultaneous personnel and vehicle shift scheduling in the waste management sector

Urban waste management is becoming an increasingly complex task, absorbing a huge amount of resources, and having a major environmental impact. The design of a waste management system consists in various activities, and one of these is related to the definition of shift schedules for both personnel and vehicles. This activity has a great incidence on the tactical and operational cost for companies. In this paper, we propose an integer programming model to find an optimal solution to the integrated problem. The aim is to determine optimal schedules at minimum cost. Moreover, we design a fast and effective heuristic to face large-size problems. Both approaches are tested on data from a real-world case in Southern Italy and compared to the current practice utilized by the company managing the service, showing that simultaneously solving these problems can lead to significant monetary savings.     

Inventing the future: scenarios, imagination, mastery and control

The complexity of mixed social, behavioral, and natural systems—such as those encountered while analyzing, understanding, and trying to manage aspects of climate change and sustainability, requires more common theoretical frameworks and technical tools than either can bear. How does human activity relate to greenhouse gas emissions, changes in the atmosphere, climate variability, and multiple impacts, outcomes, and effects? Some of the connections can be observed and measured, many cannot. Uncertainties of every conceivable sort can occur. As the time frame into the future extends, uncertainties essentially dominate conventional theories, tools, experiences, habits, processes, and so forth. The scientific consensus linking human activity to climate change is now all but settled according to The Fourth Assessment Report of the Intergovernmental Panel on Climate Change. The consensus says little, however, about who should be doing what and for what reasons under this singular, even unique circumstance. There are no data about the future on which to rely. We are challenged to imagine many different and possible “futures” as humankind seeks to exert its mastery and control. This essay considers and then weaves together several basic issues, ideas, and topics: complexity, the concept of human intentionality, several means used to exert control in organizations and social systems, and different methods being used to imagine, invent, and communicate the future.     

Integrating Local and Scientific Knowledge: An Example in Fisheries Science

Attempting to predict the spatial dynamics fish stocks, as required for management, is an ominous task given our incomplete understanding of biological and ecological mechanisms underpinning behavioral responses of fish. Large gaps still exist in our basic scientific knowledge. Nonetheless, the knowledge of fishers and fishery managers is not incorporated into our scientific analyses, even though such information is rich in observation since knowledge of fish behavior and distribution is a prerequisite for their profession. Combining such observations with more conventional scientific studies and theoretical interpretations provides a means by which we may bridge some gaps in our knowledge. Presented here is an example of how both local and scientific knowledge can be integrated in a heuristic model. The model, CLUPEX, is developed in the framework of a fuzzy logic expert system and uses linguistic statements written in natural language to capture and combine knowledge sources in the form of IF … THEN rules. The rules are inferred from interviews with experts and fishery professionals including fishers, fishery managers, scientists, and First Nations people. The knowledge base, comprised of the set of rules, is flexible in the sense that it can easily be modified to add additional information or change current information. Using input pertaining to biotic and abiotic environmental conditions, CLUPEX uses the rules to provide quantitative and qualitative predictions on the structure, dynamics and mesoscale distribution of shoals of migratory adult herring during different life stages of their annual life cycle.