Christina D. Vojta
United States Forest Service
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Featured researches published by Christina D. Vojta.
Conservation Biology | 2010
Linda Laikre; Fred W. Allendorf; Laurel C. Aroner; C. Scott Baker; David P. Gregovich; Michael M. Hansen; Jennifer A. Jackson; Katherine C. Kendall; Kevin S. McKelvey; Maile C. Neel; Isabelle Olivieri; Nils Ryman; Michael K. Schwartz; Ruth Short Bull; Jeffrey B. Stetz; David A. Tallmon; Barbara L. Taylor; Christina D. Vojta; Donald M. Waller; Robin S. Waples
Genetic diversity is the foundation for all biological diversity; the persistence and evolutionary potential of species depend on it. World leaders have agreed on the conservation of genetic diversity as an explicit goal of the Convention on Biological Diversity (CBD). Nevertheless, actions to protect genetic diversity are largely lacking. With only months left to the 2010-biodiversity target, when the 191 parties to the CBD have agreed on achieving a significant reduction of the rate of biodiversity loss, gene-level diversity is still not being monitored, and indicators and thresholds that can be used to devise strategies to conserve this important component of biodiversity are missing. Immediate action is needed to ensure that genetic diversity is not neglected in conservation targets beyond 2010.
General Technical Report - USDA Forest Service | 2006
Patricia N. Manley; B. van Horne; Julie K. Roth; W. J. Zielinski; M. M. McKenzie; T. J. Weller; F. W. Weckerly; Christina D. Vojta
The National Forest Management Act (1976) recognizes the importance of maintaining species and community diversity on National Forest System (NFS) lands as a critical component of our ecological and cultural heritage. Monitoring is required of land management to assess the success of management activities in meeting legal, regulatory, and policy objectives, including sustaining populations of native and desired nonnative species. The Multiple Species Inventory and Monitoring (MSIM) protocol is intended to serve as a consistent and efficient method for obtaining basic presence/absence data and associated habitat condition data for a large number of individual species at sites that represent a probabilistic sample. It is designed to be implemented in association with Forest Inventory and Analysis (FIA) grid points on NFS lands. The MSIM protocol is designed as a base monitoring approach on which regions and forests can build to meet their specific National Forest Land and Resource Management Plan monitoring needs with the greatest possible efficiency (measured as the amount of useful and high-quality information gained per unit cost).
Journal of Fish and Wildlife Management | 2011
Jeffrey B. Stetz; Katherine C. Kendall; Christina D. Vojta
Abstract Monitoring our natural resources will increasingly rely on genetic tools in order to understand and respond to invasive species, habitat degradation, fragmentation, disease, or climate-related changes. In recent years, the rapidly evolving field of genetic monitoring has seen explosive growth in sampling methods, genetic markers, and analytical approaches designed to estimate a wide range of parameters from connectivity to population growth rates. Some of these methods have taken root and now dominate particular aspects of population assessment and monitoring, whereas others have seen less success in real-world applications. To aid managers and researchers with limited genetics experience, we developed a web-based resource to help them identify which, if any, molecular genetic methods would be appropriate for population assessments or monitoring. The site was developed in cooperation with a team of experts in fields such as evolutionary biology, demographic parameter estimation, and exotic specie...
Journal of Wildlife Management | 2005
Christina D. Vojta
Archive | 2005
Richard S. Holthausen; Raymond L. Czaplewski; Don DeLorenzo; Greg Hayward; Winifred B. Kessler; Pat Manley; Kevin S. McKelvey; Douglas S. Powell; Leonard F. Ruggiero; Michael K. Schwartz; Bea Van Horne; Christina D. Vojta
Archive | 2013
Michael I. Goldstein; Lowell H. Suring; Christina D. Vojta; Mary M. Rowland; Clinton. McCarthy
In: Rowland, M.M.; Vojta, C.D.; tech. eds. 2013. A technical guide for monitoring wildlife habitat. Gen. Tech. Rep. WO-89. Washington, DC: U.S. Department of Agriculture, Forest Service. 14p. | 2013
Samuel A. Cushman; Timothy J. Mersmann; Gretchen G. Moisen; Kevin S. McKelvey; Christina D. Vojta
Archive | 2015
Mary M. Rowland; Lowell H. Suring; Christina D. Vojta
Archive | 2013
Michael J. Wisdom; Mary M. Rowland; Christina D. Vojta; Michael I. Goldstein
Archive | 2013
Samuel A. Cushman; Kevin McGarigal; Kevin S. McKelvey; Christina D. Vojta; Claudia Regan