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Displaying 441 - 445 of 661Measuring Motivations as a Method of Mitigating Social Values Conflict
Alaska's Western Arctic Caribou Herd is an important subsistence resource for communities along its migration path and provides opportunities for sport hunting. Members of local communities have expressed conflict with sport hunters' actions including dispersing caribou away from their communities, failing to salvage meat, and trophy hunting. We measured sources of conflict among village residents and sport hunters' motivations for hunting.
How Attitudes are Shaped: Controversies Surrounding Red Deer Management in a National Park
Attitude surveys among affected groups are established tools for integrating actors into decision-making concerning wildlife management. However, the complexity of attitudes and the fact that general attitudes toward wildlife may differ from those toward specific management measures reveal the risk of misinterpreting the data obtained. This article explores these problems based on a quantitative survey of hunters and landowners living close to the Bavarian Forest National Park, Germany.
Analysis of Arizona's Water Resources System
An analysis of Arizona's water resources system has been implemented. This study uses a qualitative system analysis approach to evaluate the most important components of the system: water supply, water demand, laws and regulations, stakeholders, decision makers, etc. Moreover, the investigation centres on some key components of the water resources system such as water conservation in active management areas (AMA), rural Arizona, population growth, and water rights transfers.
Extraction of landslide-related factors from ASTER imagery and its application to landslide susceptibility mapping
The aim of this study is to extract landslide-related factors from remote-sensing data, such as Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) satellite imagery, and to examine their applicability to landslide susceptibility near Boun, Korea, using a geographic information system (GIS). Landslide was mapped from interpretation of aerial photographs and field surveying. Factors that influence landslide occurrence were extracted from ASTER imagery.
Comparison of artificial neural networks and support vector machine classifiers for land cover classification in Northern China using a SPOT-5 HRG image
This article presents a sufficient comparison of two types of advanced non-parametric classifiers implemented in remote sensing for land cover classification. A SPOT-5 HRG image of Yanqing County, Beijing, China, was used, in which agriculture and forest dominate land use. Artificial neural networks (ANNs), including the adaptive backpropagation (ABP) algorithm, Levenberg–Marquardt (LM) algorithm, Quasi-Newton (QN) algorithm and radial basis function (RBF) were carefully tested.