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Displaying 441 - 445 of 661How 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.
Measuring 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.
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.
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.
Aerosol retrieval with satellite image and correlation analyses between aerosol distribution and urban underlaying surface
Human activity is one of the most important aerosol sources. Because the underlaying surface feature records most human activities, it is important to recognize the correlation between aerosol distribution and the underlaying surface.