The Ecological Role of Mesopredators and the Long-Term Effects of Mesopredator Control

Until approximately 20 years ago, mammalian predators were actively pursued by hunters and trappers for both sport and economic gain. However, during the past two decades fur prices have fallen precipitously, and sport hunting and trapping of mammalian predators is at an all-time low. Some suggest that decreased hunting and trapping pressure on mesomammal predators (e.g., raccoons, opossums, bobcats, foxes, coyotes, etc; hereafter, mesopredators) has resulted in increased mesopredator populations and a decline in many prey species. The role of mesopredators within southern forests is controversial, and there are few empirical studies on which to base management and political decisions regarding predation issues. Moreover, the few studies that do exist focus on the response of a single species or are of too short duration to fully understand the long-term effects of removal efforts. This study will provide empirical, long-term information on the ecological role of mesopredators. Our study uses mesopredator exclosures to experimentally explore the role of mesopredators within the broader wildlife community by artificially reducing mesopredator populations. Because we are using exclosures (electric fences specifically designed to exclude mesopredators, without restricting target prey species), there will be no need to sacrifice mesopredators to accomplish study objectives. Effects of mesopredators on avian, gopher tortoise, and small mammal population dynamics are of primary interest. However, we are also monitoring snake and raptor populations to determine how mesopredators affect their numbers and distribution and whether they, in tum, influence the dynamics of other wildlife populations

Training toward Advanced 3D Seismic Methods for CO2 Monitoring, Verification, and Accounting

The objective of our work is graduate and undergraduate student training related to improved 3D seismic technology that addresses key challenges related to monitoring movement and containment of CO{sub 2}, specifically better quantification and sensitivity for mapping of caprock integrity, fractures, and other potential leakage pathways. We utilize data and results developed through previous DOE-funded CO{sub 2} characterization project (DE-FG26-06NT42734) at the Dickman Field of Ness County, KS. Dickman is a type locality for the geology that will be encountered for CO{sub 2} sequestration projects from northern Oklahoma across the U.S. midcontinent to Indiana and Illinois. Since its discovery in 1962, the Dickman Field has produced about 1.7 million barrels of oil from porous Mississippian carbonates with a small structural closure at about 4400 ft drilling depth. Project data includes 3.3 square miles of 3D seismic data, 142 wells, with log, some core, and oil/water production data available. Only two wells penetrate the deep saline aquifer. In a previous DOE-funded project, geological and seismic data were integrated to create a geological property model and a flow simulation grid. We believe that sequestration of CO{sub 2} will largely occur in areas of relatively flat geology and simple near surface, similar to Dickman. The challenge is not complex geology, but development of improved, lower-cost methods for detecting natural fractures and subtle faults. Our project used numerical simulation to test methods of gathering multicomponent, full azimuth data ideal for this purpose. Our specific objectives were to apply advanced seismic methods to aide in quantifying reservoir properties and lateral continuity of CO{sub 2} sequestration targets. The purpose of the current project is graduate and undergraduate student training related to improved 3D seismic technology that addresses key challenges related to monitoring movement and containment of CO{sub 2}, specifically better quantification and sensitivity for mapping of caprock integrity, fractures, and other potential leakage pathways. Specifically, our focus is fundamental research on (1) innovative narrow-band seismic data decomposition and interpretation, and (2) numerical simulation of advanced seismic data (multi-component, high density, full azimuth data) ideal for mapping of cap rock integrity and potential leakage pathways