Animal population densities are thought to be "regulated" by density-dependent processes (Haldane, 1953; Royama, 1977: Berryman, 1991). The perceived importance of these processes to biologists is evident from the vast amount of research dedicated to this idea (Inchausti, 1994). Most of this research addresses the problem(s) of detecting the effect of density-dependent regulatory processes using time series data. However, the question of the relative importance of density-dependent factors upon rates of change of population abundances is rarely addressed. In this thesis, I quantify the importance of density-dependent factors in 303 natural animal populations. I found that, on average, only $\approx$19% of the temporal variability in per capita growth rate could be statistically related to population density. Yet research effort concentrates overwhelmingly on density-dependent processes. I conclude that the effects of density-dependent processes within natural animal populations are generally weak and disproportionately studied.

Surveying an area dense with conflicting observations and ideas, this volume vividly depicts the current state of knowledge as well as the great diversity of opinion in the field of population ecology. Ten papers by outstanding authorities focus on three main issues-the effects of environment and population density on population dynamics, the influence of animal behavior on population growth, and the possibilities of genetic feedback or short-term evolutionary change on control of animal populations. An incisive introduction by the editor establishes a frame of reference and supplies succinct resolutions of some of the important controversies dealt with in these pages.

Integrated Population Models: Theory and Ecological Applications with R and JAGS is the first book on integrated population models, which constitute a powerful framework for combining multiple data sets from the population and the individual levels to estimate demographic parameters, and population size and trends. These models identify drivers of population dynamics and forecast the composition and trajectory of a population. Written by two population ecologists with expertise on integrated population modeling, this book provides a comprehensive synthesis of the relevant theory of integrated population models with an extensive overview of practical applications, using Bayesian methods by means of case studies. The book contains fully-documented, complete code for fitting all models in the free software, R and JAGS. It also includes all required code for pre- and post-model-fitting analysis. Integrated Population Models is an invaluable reference for researchers and practitioners involved in population analysis, and for graduate-level students in ecology, conservation biology, wildlife management, and related fields. The text is ideal for self-study and advanced graduate-level courses. Offers practical and accessible ecological applications of IPMs (integrated population models) Provides full documentation of analyzed code in the Bayesian framework Written and structured for an easy approach to the subject, especially for non-statisticians

Using Science to Improve the BLM Wild Horse and Burro Program: A Way Forward reviews the science that underpins the Bureau of Land Management's oversight of free-ranging horses and burros on federal public lands in the western United States, concluding that constructive changes could be implemented. The Wild Horse and Burro Program has not used scientifically rigorous methods to estimate the population sizes of horses and burros, to model the effects of management actions on the animals, or to assess the availability and use of forage on rangelands. Evidence suggests that horse populations are growing by 15 to 20 percent each year, a level that is unsustainable for maintaining healthy horse populations as well as healthy ecosystems. Promising fertility-control methods are available to help limit this population growth, however. In addition, science-based methods exist for improving population estimates, predicting the effects of management practices in order to maintain genetically diverse, healthy populations, and estimating the productivity of rangelands. Greater transparency in how science-based methods are used to inform management decisions may help increase public confidence in the Wild Horse and Burro Program.

Allee effects are relevant to biologists who study rarity, and to conservationists and managers who try and protect endangered populations. This book provides an overview of the Allee effect, the mechanisms which drive it and its consequences for population dynamics, evolution and conservation.

Technological improvements have greatly increased the ability of marine scientists to collect and analyze data over large spatial scales, and the resultant insights attainable from interpreting those data vastly increase understanding of poplation dynamics, evolution and biogeography. Marine Metapopulations provides a synthesis of existing information and understanding, and frames the most important future directions and issues. First book to systematically apply metapopulation theory directly to marine systems Contributions from leading international ecologists and fisheries biologists Perspectives on a broad array of marine organisms and ecosystems, from coastal estuaries to shallow reefs to deep-sea hydrothermal vents Critical science for improved management of marine resources Paves the way for future research on large-scale spatial ecology of marine systems