Predictions about where different species are, where they are not, and how they move across a landscape or respond to human activities -- if timber is harvested, for instance, or stream flow altered -- are important aspects of the work of wildlife biologists, land managers, and the agencies and policymakers that govern natural resources. Despite the increased use and importance of model predictions, these predictions are seldom tested and have unknown levels of accuracy.Predicting Species Occurrences addresses those concerns, highlighting for managers and researchers the strengths and weaknesses of current approaches, as well as the magnitude of the research required to improve or test predictions of currently used models. The book is an outgrowth of an international symposium held in October 1999 that brought together scientists and researchers at the forefront of efforts to process information about species at different spatial and temporal scales. It is a comprehensive reference that offers an exhaustive treatment of the subject, with 65 chapters by leading experts from around the world that: review the history of the theory and practice of modeling and present a standard terminology examine temporal and spatial scales in terms of their influence on patterns and processes of species distribution offer detailed discussions of state-of-the-art modeling tools and descriptions of methods for assessing model accuracy discuss how to predict species presence and abundance present examples of how spatially explicit data on demographics can provide important information for managers An introductory chapter by Michael A. Huston examines the ecological context in which predictions of species occurrences are made, and a concluding chapter by John A. Wiens offers an insightful review and synthesis of the topics examined along with guidance for future directions and cautions regarding misuse of models. Other contributors include Michael P. Austin, Barry R. Noon, Alan H. Fielding, Michael Goodchild, Brian A. Maurer, John T. Rotenberry, Paul Angermeier, Pierre R. Vernier, and more than a hundred others.Predicting Species Occurrences offers important new information about many of the topics raised in the seminal volume Wildlife 2000 (University of Wisconsin Press, 1986) and will be the standard reference on this subject for years to come. Its state-of-the-art assessment will play a key role in guiding the continued development and application of tools for making accurate predictions and is an indispensable volume for anyone engaged in species management or conservation.
Species distribution modeling is an essential tool for conservation planning.
Millspaugh JJ, Thompson FR Jr (2009) Models for planning wildlife conservation in large landscapes. Academic Press, Burlington MA. Mladenoff DJ, Sickley TA, Haight RG, Wydeven AP (1995) A regional landscape analysis and prediction of ...
Preferences and Bottlenecks: Predicting Riverine Species Occurrences Under Changing Abiotic Conditions
Franklin summarises the methods used in species distribution modeling (also called niche modeling) and presents a framework for spatial prediction of species distributions based on the attributes (space, time, scale) of the data and ...
It is of practical interest to know the amount of data required to produce reliable models. I developed nine training sets of from 50 to 450 sites for each species...
A comprehensive account of joint species distribution modelling, covering statistical analyses in light of modern community ecology theory.
86 Prentice, I. C. (1989) Climate control ofthe distribution and abundance of beech (Eagus L.) in Europe and North America. Journal of Biogeography, 16, 551-560. ... In Scott, M., Heglund, P. 1., Morrison, M. L. et al.
Coupled with cutting-edge laboratory and statistical techniques, which are also described in the book, noninvasive survey methods are effi cient and effective tools for sampling carnivore populations.
This book reviews the latest risk-based techniques to protect national interests from invasive pests and pathogens before, at and within national borders.
Sanders's. Method. of. Rarefaction. Unfortunately, for many of the observations made in the field, a sample-by-sample breakdown such as that shown in Table 12.1 may not be possible. The only information available may be the total number ...