The Effects of Edges on Grizzly Bear Habitat Selection

Proceedings of Spatial Knowledge and Information – Canada (SKI-Canada) 2011, March 3-6 in Fernie, BC, Canada

Benjamin P. Stewart, Trisalyn Nelson, Michael A. Wulder, Scott E. Nielsen, Nicholas C. Coops, and Gordon Stenhouse

“Understanding grizzly bear (Ursus arctos) habitat selection is critical for managing threatened populations. The goal of this paper is to develop a better understanding of grizzly bear habitat use through a comparison of grizzly bear location data with landscape edge inventories. We utilized GPS telemetry data from 26 grizzly bears from 2005-2009 in the foothills of the Rocky Mountains in west-central Alberta. The locations were compared to a series of landscape transitions extracted from landcover data, and linear features, such as streams, roads, and pipelines. Results show variation between seasons and sexes in edge distance, selection, and density. Wetland edges comprise a small proportion of the study area (< 2%) but females select edges of this type up to 7% of the time, with little variation between seasons. Roads are selected for by females, but avoided by males, and hydrocarbon pipelines show similar results to roads, indicating these are also important grizzly bear edges. Seasonal differences indicate that females and males select for edges more in the fall, due to changes in feeding and security, or as a result of contracting home range following the mating season. These results indicate that while managing for anthropogenic disturbances in grizzly bear habitat is of utmost concern, understanding bears’ reactions to natural transitions can provide new management opportunities not related to resource extraction activities. Specific focus should be paid to maintaining wetlands, as these areas are selected by grizzly bears, but they comprise a very small part of the study area.”

Incorporating Uncertainty Information into the Visual Analysis of Self-Organizing Maps

GeoViz: Linking Geovisualization with Spatial Analysis and Modeling, 10-11 March 2011, Hamburg, Germany

Tonio Fincke

“Data uncertainty is a frequent issue in data analysis. It describes the possible deviation of a true value from a value which is estimated to be true. In most cases, only this representing value is considered for analysis. Information about uncertainty can be useful to rate the quality of analysis results. It might also help to find alternative explanations for certain patterns or value combinations within a data set[5]. For the description of spatial uncertainties, several visualization methods have been developed, often with the objective of giving the user the possibility to get a good impression of the reliability of the data at a certain point or area in space[1].”

Improving the Monitoring of the Status of the Environment Through Web Geo-services: The Example of Large Structures Supervision

Transactions in GIS, April 2011, Volume 15, Issue 2

Maria A. Brovelli, Gianluca Giori, Mauro Mussin, and Marco Negretti

“Environmental monitoring is a fundamental process in the design, construction, operation and decommissioning phases of constructing large structures, such as highways, high-speed railways, and airports. Many different actors are involved in these steps: the owner (public or private); the planning, construction, and operation managers; the environmental teams executing the monitoring; the government department or agency responsible for protecting the environment and the health of the population; and, finally, the policy-makers. The environmental agency itself is composed of various domain experts dealing with different environmental arenas (air, water, etc.). Since most of the collected information refers to space and time, GISs are natural tools for storing and processing the data. Nevertheless, instruments, people, and communications technology are involved, and there is a potential for failure, waste of time and unnecessary costs to appear. A web platform based on OGC web services and allowing for sharing and processing the sensor and geographic information can greatly improve workflow management. This article presents a description of a working pilot that can serve as a solution to managing such a project, because it makes it possible to integrate geodata (maps and orthophotos) from different sources and to visualize and analyze the sensor data with respect to both time and space.”