Invasive Exotic Plant Monitoring in Capitol Reef National Park: Field Seasons 2009-2012

images[2] Invasive exotic plant (IEP) species are a significant threat to natural ecosystem integrity and biodiversity, and controlling them is a high priority for the National Park Service. The Northern Colorado Plateau Network (NCPN) selected the early detection of IEPs as one of 10 monitoring protocols to be implemented as part of its long-term monitoring program. This report documents invasive plant infestations detected at Capitol Reef National Park during 2012. It also covers all work completed from 2009 to 2012, which represents the first full rotation of desired monitoring routes and presents a rotational panel for future monitoring. During surveys conducted from 2009 to 2012, Capitol Reef National Park staff detected 14 IEP species on monitoring routes and transects comprising 94 kilometers along Cathedral Valley Road, Highway 24, Pleasant Creek, Oak Creek, and the Scenic Drive.Personal Author D. Perkins G. Lenhart For more info please
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Generalized Framework and Algorithms for Illustrative Visualization of Time-Varying Data on Unstructured Meshes

images[1]Photo- and physically-realistic techniques are often insufficient for visualization of simulation results, especially for three-dimensional and timevarying datasets. Substantial research efforts have been dedicated to the development of nonphoto-realistic and illustration-inspired visualization techniques for compact and intuitive presentation of such complex datasets. While these efforts have yielded valuable visualization results, a great deal of work has been reproduced in studies as individual research groups often develop purpose-built platforms. Additionally, interoperability between illustrative visualization software is limited because of specialized processing and rendering architectures employed in different studies. This report proposes a generalized framework for illustrative visualization and implements it in MarmotViz, a ParaView plug-in, enabling its use on a variety of computing platforms with various data file formats and mesh geometries. This report gives detailed descriptions of the region-of-interest identification and feature-tracking algorithms incorporated into this tool. Implementations of multiple illustrative effect algorithms are presented to demonstrate the use and flexibility of this framework. By providing a framework and useful underlying functionality, the MarmotViz tool can act as a springboard for future research in the field of illustrative visualization. Personal Author A. Joshi A. S. Rattner D. P. Guillen S. Garimella
Personal Author A. Joshi A. S. Rattner D. P. Guillen S. Garimella