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184031 results.

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Page 3073, results 76801 - 76825

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Publication Extents

Not all publications have extents, not all extents are completely accurate
Endangered plants
T.J. Stohlgren
S.A. Levin, editor(s)
2001, Book chapter, Encyclopedia of Biodiversity
No abstract available....
Ecosystem structure and function modeling
H.C. Humphries, Jill Baron
Mark E. Jensen, P. Bourgeron, editor(s)
2001, Book chapter, A guidebook for integrated ecological assessments
An important component of ecological assessments is the ability to predict and display changes in ecosystem structure and function over a variety of spatial and temporal scales. These changes can occur over short (less than 1 year) or long time frames (over 100 years). Models may emphasize structural responses (changes...
Fire and grazing regulate belowground processes in tallgrass prairie
Loretta C. Johnson, John R. Matchett
2001, Ecology (82) 3377-3389
In tallgrass prairie, belowground processes are even more important than in forested systems because aboveground biomass and standing dead litter are periodically removed by frequent fires or grazers. Thus, studies that address factors regulating belowground processes are especially relevant for tallgrass prairie. We predicted that effects of grazing and burning...
Statistics for wildlifers: how much and what kind?
Douglas H. Johnson, T.L. Shaffer, W.E. Newton
2001, Wildlife Society Bulletin (29) 1055-1060
Quantitative methods are playing increasingly important roles in wildlife ecology and, ultimately, management. This change poses a challenge for wildlife practitioners and students who are not well-educated in mathematics and statistics. Here we give our opinions on what wildlife biologists should know about statistics, while recognizing that not everyone is...
The influence of photoperiod and temperature on the Neosho Madtom (norturus placidus) reproductive cycle
J.L. Albers, M. L. Wildhaber, Douglas B. Noltie
2001, Report
The key to successful fish culture is to understand the environmental cues that trigger spawning. In temperate fishes, photoperiod and temperature are important in many species including the family Ictaluridae. The object of this study was to examine whether natural photo-thermal conditions in the laboratory could stimulate the reproductive cycle...
Bacterial diseases
S.K. Taylor, D. E. Green, K.M. Wright, B.R. Whitaker
K.M. Wright, B.R. Whitaker, editor(s)
2001, Book chapter, Amphibian Medicine and Captive Husbandry
PHABSIM for Windows User's Manual and Exercises
Terry Waddle
2001, Open-File Report 2001-340
This document is a combined self-study textbook and reference manual. The material is presented in the general order of a PHABSIM study placed within the context of an IFIM application. The document may also be used as reading material for a lecture-based course....
Disease mortality events involving Ross's Geese
M.D. Samuel, K. A. Converse, Kimberli J.G. Miller
T.J. Moser, editor(s)
2001, Report, The Status of Ross's Geese: Report of the Arctic Goose Joint Venture, Ross's Goose Subcommittee.
No abstract available....
Data acquisition
Thomas J. Stohlgren
Mark E. Jensen, Patrick S. Bourgeron, editor(s)
2001, Book chapter, A guidebook for integrated ecological assessments
No abstract available....
Biodiversity losses: The downward spiral
Diana F. Tomback, Katherine C. Kendall
Diana F. Tomback, Stephen F. Arno, Robert E. Keane, editor(s)
2001, Book chapter, Whitebark pine communities: Ecology and restoration
The dramatic decline of whitebark pine (Pinus albicaulis) populations in the northwestern United States and southwestern Canada from the combined effects of fire exclusion, mountain pine beetles (Dendroctonus ponderosae), and white pine blister rust (Cronartium ribicola), and the projected decline of whitebark pine populations rangewide (Chapters 10 and 11) do...
Uncertainty and spatial linear models for ecological data
Jay M Ver Hoef, Noel Cressie, Robert N. Fisher, Ted J. Case
C. Hunsaker, M. Goodchild, Mark A. Friedl, Ted J. Case, editor(s)
2001, Book chapter, Spatial uncertainty in ecology
Models are not perfect; they do not fit the data exactly and they do not allow exact prediction. Given that models are imperfect, we need to assess the uncertainties in the fits of the models and their ability to predict new outcomes. The goals of building models for scientific problems...