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Featured researches published by John B. Norman.


Ecological Applications | 2011

Assessing effects of land use on landscape connectivity: loss and fragmentation of western U.S. forests

David M. Theobald; Kevin R. Crooks; John B. Norman

Effects of land-use change on the conservation of biodiversity have become a concern to conservation scientists and land managers, who have identified loss and fragmentation of natural areas as a high-priority issue. Despite urgent calls to inform national, regional, and state planning efforts, there remains a critical need to develop practical approaches to identify where important lands are for landscape connectivity (i.e., linkages), where land use constrains connectivity, and which linkages are most important to maintain network-wide connectivity extents. Our overall goal in this paper was to develop an approach that provides comprehensive, quantitative estimates of the effects of land-use change on landscape connectivity and illustrate its use on a broad, regional expanse of the western United States. We quantified loss of habitat and landscape connectivity for western forested systems due to land uses associated with residential development, roads, and highway traffic. We examined how these land-use changes likely increase the resistance to movement of forest species in non-forested land cover types and, therefore, reduce the connectivity among forested habitat patches. To do so, we applied a graph-theoretic approach that incorporates ecological aspects within a geographic representation of a network. We found that roughly one-quarter of the forested lands in the western United States were integral to a network of forested patches, though the lands outside of patches remain critical for habitat and overall connectivity. Using remotely sensed land cover data (ca. 2000), we found 1.7 million km2 of forested lands. We estimate that land uses associated with residential development, roads, and highway traffic have caused roughly a 4.5% loss in area (20 000 km2) of these forested patches, and continued expansion of residential land will likely reduce forested patches by another 1.2% by 2030. We also identify linkages among forest patches that are critical for landscape connectivity. Our approach can be readily modified to examine connectivity for other habitats/ecological systems and for other geographic areas, as well as to address more specific requirements for particular conservation planning applications.


Ecology | 2013

Cover, density, and demographics of shortgrass steppe plants mapped 1997–2010 in permanent grazed and ungrazed quadrats

Chengjin Chu; John B. Norman; Robert Flynn; Nicole Kaplan; William K. Lauenroth; Peter B. Adler

This data set was created to map and analyze demographic rates of many common plant species in the shortgrass steppe of North America under grazed and ungrazed conditions. Twenty-four permanent 1-m2 quadrats were established as part of the Shortgrass Steppe Long Term Ecological Research project in six grazed and ungrazed study sites on the Central Plains Experimental Range in Nunn, Colorado, USA. We used a pantograph to record the location and shape of individual plants annually from 1997 to 2010. These data make it possible to determine the fate of individual plants using a Geographic Information System and spatial analysis techniques. The data provide unique opportunities to test the interactive effects of grazing and climate variables on demographic rates, plant–plant interactions, and population and community dynamics. We provide the following data and data formats: (1) the digitized maps in shapefile format; (2) a tabular representation of centroid or point location (x, y coordinates), and basal cover (m2) for plants mapped as polygons; (3) quadrat information including location (longitude and latitude), elevation, and livestock grazing treatment and history; (4) detailed information on stocking rates during the period of quadrat sampling; (5) daily temperature and precipitation values; (6) a species list including the total records for each species, plant growth forms, and longevity; and (7) an inventory of the years each quadrat was sampled.


Diversity and Distributions | 2008

Modelling invasion for a habitat generalist and a specialist plant species

Paul H. Evangelista; Sunil Kumar; Thomas J. Stohlgren; Catherine S. Jarnevich; Alycia Crall; John B. Norman; David T. Barnett


Environmental Management | 2007

Using GIS to Generate Spatially Balanced Random Survey Designs for Natural Resource Applications

David M. Theobald; Don L. Stevens; Denis White; N. Scott Urquhart; Anthony R. Olsen; John B. Norman


Journal of Hydrologic Engineering | 2009

Watersheds at Risk to Increased Impervious Surface Cover in the Conterminous United States

David M. Theobald; Scott J. Goetz; John B. Norman; Patrick Jantz


GeoJournal | 2013

Mapping wildfire evacuation vulnerability in the western US: the limits of infrastructure

Thomas J. Cova; David M. Theobald; John B. Norman; Laura K. Siebeneck


Wildlife Research | 2008

Predicting habitat suitability for the endemic mountain nyala (Tragelaphus buxtoni) in Ethiopia

Paul H. Evangelista; John B. Norman; Lakew Berhanu; Sunil Kumar; Nathaniel Alley


Archive | 2006

FunConn v1 User's Manual: ArcGIS tools for Functional Connectivity Modeling

David M. Theobald; John B. Norman; Melissa R. Sherburne


Current Zoology | 2012

Assessing habitat quality of the mountain nyala Tragelaphus buxtoni in the Bale Mountains, Ethiopia

Paul H. Evangelista; John B. Norman; Paul Swartzinki; Nicholas E. Young


Archive | 2007

Through the looking glass : what do we see, what have we learned, what can we share? Information management at the Shortgrass Steppe Long Term Ecological Research Site

Adam Zeimet; Dianne Beer; John B. Norman; Christopher W. Bennett; Bob Flynn; Susan G. Stafford; Nicole Kaplan

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Nicole Kaplan

Colorado State University

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Sunil Kumar

Colorado State University

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Alycia Crall

University of Wisconsin-Madison

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Anthony R. Olsen

United States Environmental Protection Agency

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Catherine S. Jarnevich

United States Geological Survey

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Denis White

United States Environmental Protection Agency

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