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Explore WARC's science publications.

Filter Total Items: 3375

Federal interagency coordination for invasive plant issues -- The Federal Interagency Committee for the Management of Noxious and Exotic Weeds (FICMNEW)

The U.S. Federal Interagency Committee for the Management of Noxious and Exotic Weeds (FICMNEW) is a formal partnership between 16 federal agencies that have invasive plant management and regulatory responsibilities for the United States and its territories. Efforts to develop a national level federal interagency committee to coordinate federal activities were initiated by national weed program ma
Authors
Randy G. Westbrooks

Comprehensive summary of beach renourishment and offshore sand removal impacts for Florida

This report is temporarily unavailable pending review.
Authors
A.W.J. Demopoulos, D.J. Gualtieri, A. Neils, D. Huge

Geomorphic and ecological effects of Hurricanes Katrina and Rita on coastal Louisiana marsh communities

Hurricanes Katrina and Rita made landfall in 2005, subjecting the coastal marsh communities of Louisiana to various degrees of exposure. We collected data after the storms at 30 sites within fresh (12), brackish/intermediate (12), and saline (6) marshes to document the effects of saltwater storm surge and sedimentation on marsh community dynamics. The 30 sites were comprised of 15 pairs. Most pair
Authors
Sarai C. Piazza, Gregory D. Steyer, Kari F. Cretini, Charles E. Sasser, Jenneke M. Visser, Guerry O. Holm, Leigh A. Sharp, D. Elaine Evers, John R. Meriwether

Local richness along gradients in the Siskiyou herb flora: R. H. Whittaker revisited

In his classic study in the Siskiyou Mountains (Oregon, USA), one of the most botanically rich forested regions in North America, R. H. Whittaker (1960) foreshadowed many modern ideas on the multivariate control of local species richness along environmental gradients related to productivity. Using a structural equation model to analyze his data, which were never previously statistically analyzed,
Authors
James B. Grace, Susan Harrison, Ellen Ingman Damschen

Increasing accuracy of dispersal kernels in grid-based population models

Dispersal kernels in grid-based population models specify the proportion, distance and direction of movements within the model landscape. Spatial errors in dispersal kernels can have large compounding effects on model accuracy. Circular Gaussian and Laplacian dispersal kernels at a range of spatial resolutions were investigated, and methods for minimizing errors caused by the discretizing process
Authors
D. H. Slone

Learning and adaptation in the management of waterfowl harvests

A formal framework for the adaptive management of waterfowl harvests was adopted by the U.S. Fish and Wildlife Service in 1995. The process admits competing models of waterfowl population dynamics and harvest impacts, and relies on model averaging to compute optimal strategies for regulating harvest. Model weights, reflecting the relative ability of the alternative models to predict changes in pop
Authors
Fred A. Johnson

Imported Asian swamp eels (Synbranchidae: Monopterus) in North American live food markets: Potential vectors of non-native parasites

Since the 1990s, possibly earlier, large numbers of Asian swamp eels (Synbranchidae: Monopterus spp.), some wild-caught, have been imported live from various countries in Asia and sold in ethnic food markets in cities throughout the USA and parts of Canada. Such markets are the likely introduction pathway of some, perhaps most, of the five known wild populations of Asian swamp eels present in the
Authors
Leo G. Nico, Paul Sharp, Timothy M. Collins

Structured decision making as a proactive approach to dealing with sea level rise in Florida

Sea level rise (SLR) projections along the coast of Florida present an enormous challenge for management and conservation over the long term. Decision makers need to recognize and adopt strategies to adapt to the potentially detrimental effects of SLR. Structured decision making (SDM) provides a rigorous framework for the management of natural resources. The aim of SDM is to identify decisions tha
Authors
J. Martin, P.L. Fackler, James D. Nichols, B. C. Lubow, Mitchell J. Eaton, Michael C. Runge, Bradley Stith, Catherine A. Langtimm

Multispecies modeling for adaptive management of horseshoe crabs and red knots in the Delaware Bay

Adaptive management requires that predictive models be explicit and transparent to improve decisions by comparing management actions, directing further research and monitoring, and facilitating learning. The rufa subspecies of red knots (Calidris canutus rufa), which has recently exhibited steep population declines, relies on horseshoe crab (Limulus polyphemus) eggs as their primary food source du
Authors
Conor P. McGowan, David R. Smith, J. A. Sweka, Julien Martin, James D. Nichols, R. Wong, J. E. Lyons, L. J. Niles, K. Kalasz, J. Brust, M. Klopfer, B. Spear

Cornus sericea (redosier dogwood)

No abstract available.
Authors
Beth A. Middleton

Dynamics of a plant-herbivore-predator system with plant-toxicity

A system of ordinary differential equations is considered that models the interactions of two plant species populations, an herbivore population, and a predator population. We use a toxin-determined functional response to describe the interactions between plant species and herbivores and use a Holling Type II functional response to model the interactions between herbivores and predators. In order
Authors
Zhilan Feng, Zhipeng Qiu, Rongsong Liu, Donald L. DeAngelis

An adaptive-management framework for optimal control of hiking near golden eagle nests in Denali National Park

Unintended effects of recreational activities in protected areas are of growing concern. We used an adaptive-management framework to develop guidelines for optimally managing hiking activities to maintain desired levels of territory occupancy and reproductive success of Golden Eagles (Aquila chrysaetos) in Denali National Park (Alaska, U.S.A.). The management decision was to restrict human access
Authors
Julien Martin, Paul L. Fackler, James D. Nichols, Michael C. Runge, Carol L. McIntyre, Bruce L. Lubow, Maggie C. McCluskie, Joel A. Schmutz