Prescribed fire is widely applied for habitat management in coastal ecosystems. Fire management plans typically list a variety of objectives for prescribed burning, including succession management, promotion of native flora and fauna, providing habitat for species of importance, wildfire risk reduction (fuels management), as well as reduction and/or prevention of invasive species. In most cases, the information needed to determine the degree to which management objectives are met is not available. This study sought to provide an assessment of key objectives of fire management at the U.S. Fish and Wildlife Service (USFWS) Texas Mid-coast National Wildlife Refuge Complex. The main purpose of this work was to provide information and recommendations that will support Region 2 of the USFWS in the conduct of their fire and habitat management activities in the Western Gulf coast region. There were four main components of this project: (1) a historical analysis of the role of fire in this ecosystem, (2) the development of standard methodology for assessing and monitoring fire effects in this system, (3) an evaluation of the effects of prescribed burning on the habitat being managed, and (4) an evaluation of the effects of burning on select fauna of special concern. A team of researchers, including some from the U.S. Geological Survey (USGS), Southeast Missouri State University, and Louisiana State University were involved in the various components of this project. Extensive support by USFWS personnel, both at the Texas Mid-coast National Wildlife Refuge Complex and in the Regional Office (Region 2, USFWS), was a key component in this work. Data from the three years of this study were combined with the results of previous USGS studies performed at the site to strengthen our conclusions.

Originally published in 1990, continued requests for copies of Perspectives on Plant Competition by James B. Grace and David Tilman have demonstrated its utility to practitioners and especially to students. The dynamics and outcomes of plant interactions are of increasingly great interest and importance to ecologists and environmental biologists. Ever since the effects of global environmental change have emerged as a major issue, ecologists have increasingly focused their work on predicting the responses of natural systems to environmental changes. This has forced us to confront both the unknowns and the complexity of species interactions. Simply put, it is now clear that, without a better understanding of the mechanisms of plant interactions, we will not be able to predict the responses of communities and ecosystems to elevated nitrogen deposition, to changes in species composition and diversity, to elevated atmospheric CO2, to climate change, or to invasive exotic species. Work on plant interactions has continued unabated of course since the original printing of Perspectives on Plant Competition but the title is generally held to have had a positive effect on subsequent work on plant interactions, both by showcasing the variety of ways in which competition can be approached and by substantially reducing some of the confusion about issues that existed before its publication. It still has an important role to play in guiding future research on plant interactions. Perhaps an additional, continuing value is in the example it serves for the maturation of an important ecological topic. The lasting message of this book is that one cannot fully understand an idea without understanding the perspective upon which it is based, including the systems that have inspired the idea and the finer details of the research goals of those involved. Plant competition will continue to be a multifaceted topic. This book will continue to provide useful guidance for the further exploration of such interactions. "This is certainly a required book for those working on plant competition, and an important reference for ecologists and biologists in general. In many ways, it will be a landmark, providing a snapshot of research at a critical time in the development of this field." Science 249, 1054 "I strongly recommend this well-edited, thoughtful book to all students of population biology and community ecology." Bioscience 41, 178 Jim Grace obtained his Ph.D. from Michigan State University in 1980. He subsequently served on the faculty at the University of Arkansas and Louisiana State University. He joined the US Geological Survey - National Wetlands Research Center in 1992 and currently holds an Adjunct Professorship in Biology at the University of Louisiana in Lafayette. His basic research specialization is in plant ecology, with an emphasis on species interactions, biodiversity, invasive species, and conservation biology. He has been elected to the positions of chair and vice-chair of the Ecological Section of the Botanical Society of America. David Tilman is an experimental and theoretical ecologist interested in biodiversity, in the controls of ecosystem composition, stability and productivity, and in the long-term implications for society of human impacts on global ecosystems. He received his Ph.D. at the University of Michigan in 1976. He immediately came to the University of Minnesota where he now is Regents Professor, holds the McKnight University Presidential Chair in Ecology and is Director of Cedar Creek Natural History Area. He has written two books, edited three books, and published more than 160 scientific papers. In 2001, he was designated the most highly cited environmental scientist of the decade (1990-2000) by the Institute for Scientific Information.

This book, first published in 2006, presents an introduction to the methodology of structural equation modeling, illustrates its use, and goes on to argue that it has revolutionary implications for the study of natural systems. A major theme of this book is that we have, up to this point, attempted to study systems primarily using methods (such as the univariate model) that were designed only for considering individual processes. Understanding systems requires the capacity to examine simultaneous influences and responses. Structural equation modeling (SEM) has such capabilities. It also possesses many other traits that add strength to its utility as a means of making scientific progress. In light of the capabilities of SEM, it can be argued that much of ecological theory is currently locked in an immature state that impairs its relevance. It is further argued that the principles of SEM are capable of leading to the development and evaluation of multivariate theories of the sort vitally needed for the conservation of natural systems.