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Decoupling of species and plant communities of the U.S. Southwest: A CCSM4 climate scenario example

Climate change is predicted to alter the current climate suitability under which plant species and communities occur. Predictions of change have focused on individual species or entire communities, but theory indicates plants will not respond uniformly to climate change within or between communities. We developed models of the current climate suitability (the baseline) of 66 plant species characte
Kathryn A. Thomas, Brett A. Stauffer, Christopher J. Jarchow

Gap Analysis Project (GAP) Terrestrial Vertebrate Species Richness Maps for the Conterminous U.S.

The mission of the Gap Analysis Project (GAP) is to support national and regional assessments of the conservation status of vertebrate species and plant communities. This report explains conterminous United States species richness maps created by the U.S. Geological Survey for four major classes in the phylum Chordata: mammals, birds, reptiles, and amphibians. In this work, we focus on terrestrial
Kevin J. Gergely, Kenneth G. Boykin, Alexa McKerrow, Matthew J. Rubino, Nathan M. Tarr, Steven G. Williams

Landscape-scale wildlife species richness metrics to inform wind and solar energy facility siting: An Arizona case study

The juxtaposition of wildlife and wind or solar energy facility infrastructure can present problems for developers, planners, policy makers, and management agencies. Guidance on siting of these renewable energy facilities may help identify potential wildlife-facility conflicts with species of regulatory or economic concern. However, existing spatial guidance usually does not consider all wildlife
Kathryn A. Thomas, Christopher Jarchow, Terence R. Arundel, Pankaj Jamwal, Amanda Borens, Charles A. Drost

Integrating multiple data sources in species distribution modeling: A framework for data fusion

The last decade has seen a dramatic increase in the use of species distribution models (SDMs) to characterize patterns of species’ occurrence and abundance. Efforts to parameterize SDMs often create a tension between the quality and quantity of data available to fit models. Estimation methods that integrate both standardized and non-standardized data types offer a potential solution to the tradeof
Krishna Pacifici, Brian J. Reich, David A.W. Miller, Beth Gardner, Glenn E. Stauffer, Susheela Singh, Alexa McKerrow, Jaime A. Collazo

Long-term fish monitoring in large rivers: Utility of “benchmarking” across basins

In business, benchmarking is a widely used practice of comparing your own business processes to those of other comparable companies and incorporating identified best practices to improve performance. Biologists and resource managers designing and conducting monitoring programs for fish in large river systems tend to focus on single river basins or segments of large rivers, missing opportunities to
David L. Ward, Andrew F. Casper, Timothy D. Counihan, Jennifer M. Bayer, Ian R. Waite, John J. Kosovich, Colin Chapman, Elise R. Irwin, Jennifer S. Sauer, Brian Ickes, Alexa McKerrow

Uncertainty quantification and propagation for projections of extremes in monthly area burned under climate change: A case study in the coastal plain of Georgia, USA

Human‐caused climate change is predicted to affect the frequency of hazard‐linked extremes. Unusually large wildfires are a type of extreme event that is constrained by climate and can be a hazard to society but also an important ecological disturbance. This chapter focuses on changes in the frequency of extreme monthly area burned by wildfires for the end of the 21st century for a wildfire‐prone
Adam J. Terando, Brian J. Reich, Krishna Pacifici, Jennifer Costanza, Alexa McKerrow, Jaime A. Collazo

Projected gains and losses of wildlife habitat from bioenergy-induced landscape change

Domestic and foreign renewable energy targets and financial incentives have increased demand for woody biomass and bioenergy in the southeastern United States. This demand is expected to be met through purpose-grown agricultural bioenergy crops, short-rotation tree plantations, thinning and harvest of planted and natural forests, and forest harvest residues. With results from a forest economics mo
Nathan M. Tarr, Matthew J. Rubino, Jennifer K. Costanza, Alexa McKerrow, Jaime A. Collazo, Robert C. Abt

Bioenergy production and forest landscape change in the southeastern United States

Production of woody biomass for bioenergy, whether wood pellets or liquid biofuels, has the potential to cause substantial landscape change and concomitant effects on forest ecosystems, but the landscape effects of alternative production scenarios have not been fully assessed. We simulated landscape change from 2010 to 2050 under five scenarios of woody biomass production for wood pellets and liqu
Jennifer K. Costanza, Robert C. Abt, Alexa McKerrow, Jaime A. Collazo

Normalized burn ratios link fire severity with patterns of avian occurrence

ContextRemotely sensed differenced normalized burn ratios (DNBR) provide an index of fire severity across the footprint of a fire. We asked whether this index was useful for explaining patterns of bird occurrence within fire adapted xeric pine-oak forests of the southern Appalachian Mountains.ObjectivesWe evaluated the use of DNBR indices for linking ecosystem process with patterns of bird occurre
Eli T. Rose, Theodore R. Simons, Rob Klein, Alexa McKerrow

A comparison of NLCD 2011 and LANDFIRE EVT 2010: Regional and national summaries.

In order to provide the land cover user community a summary of the similarity and differences between the 2011 National Land Cover Dataset (NLCD) and the Landscape Fire and Resource Management Planning Tools Program Existing Vegetation 2010 Data (LANDFIRE EVT), the two datasets were compared at a national (conterminous U.S.) and regional (Eastern, Midwestern, and Western) extents (Figure 1). The c
Alexa McKerrow, Jon Dewitz, Donald G. Long, Kurtis Nelson, Joel A. Connot, Jim Smith

Linking state-and-transition simulation and timber supply models for forest biomass production scenarios

We linked state-and-transition simulation models (STSMs) with an economics-based timber supply model to examine landscape dynamics in North Carolina through 2050 for three scenarios of forest biomass production. Forest biomass could be an important source of renewable energy in the future, but there is currently much uncertainty about how biomass production would impact landscapes. In the southeas
Jennifer Costanza, Robert C. Abt, Alexa McKerrow, Jaime Collazo

How a national vegetation classification can help ecological research and management

The elegance of classification lies in its ability to compile and systematize various terminological conventions and masses of information that are unattainable during typical research projects. Imagine a discipline without standards for collection, analysis, and interpretation; unfortunately, that describes much of 20th-century vegetation ecology. With differing methods, how do we assess communit
Scott Franklin, Patrick Comer, Julie Evens, Exequiel Ezcurra, Don Faber-Langendoen, Janet Franklin, Michael Jennings, Carmen Josse, Chris Lea, Orie Loucks, Esteban Muldavin, Robert K. Peet, Serguei Ponomarenko, David G. Roberts, Ayzik Solomeshch, Todd Keeler-Wolf, James Van Kley, Alan Weakley, Alexa McKerrow, Marianne Burke, Carol Spurrier