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Titlebook: Ecological Time Series; Thomas M. Powell,John H. Steele Book 1995 Springer Science+Business Media Dordrecht 1995 Tempo.ecology.ecosystem.e

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书目名称Ecological Time Series
编辑Thomas M. Powell,John H. Steele
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图书封面Titlebook: Ecological Time Series;  Thomas M. Powell,John H. Steele Book 1995 Springer Science+Business Media Dordrecht 1995 Tempo.ecology.ecosystem.e
描述This book results from a summer school held at Cornell University in 1992. The participants were graduate students and postdoctoral researchers selected from a broad range of interests and backgrounds in ecological studies. The summer school was the second in a continuing series whose underlying aim­ and the aim of this volume-is to bring together the different methods and concepts underpinning terrestrial, freshwater, and marine ecology. The first volume in the series focused on patch dynamics in these three ecologi­ cal sectors. Here we have endeavored to complement that volume by extending its comparative approach to the consideration of ecological time series. The types of data and the methods of collection are necessarily very different in these contrasting environments, yet the underlying concept and the technical problems of analysis have much in common. It proved to be of great interest and value to the summer school participants to see the differences and then work through to an appreciation ofthe generalizable concepts. We believe that such an approach must have value as well for a much larger audience, and we have structured this volume to provide a comparable reading ex
出版日期Book 1995
关键词Tempo; ecology; ecosystem; environment; vegetation; ecotoxicology
版次1
doihttps://doi.org/10.1007/978-1-4615-1769-6
isbn_softcover978-0-412-05201-9
isbn_ebook978-1-4615-1769-6
copyrightSpringer Science+Business Media Dordrecht 1995
The information of publication is updating

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Kant, Sade and Moral Philosophy, ecological processes. In the few exceptions in which actual population models are used (.), model fitting tends to be .. The purpose of this chapter is to outline how formal statistical methods can be used to fit a population model to data and, at the same time, to point out that this approach may be problematic.
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,Forschungsmethoden und betriebliche Fälle,le changes in the site and method, which are important to environmental change only insofar as they obscure it; and even in the case of shorter series, records may still suffer from instrumental errors and malfunctions of greater or lesser subtlety.
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https://doi.org/10.1007/978-3-662-54135-7g-term” (15-year) time series of phytoplankton biomass variability in South San Francisco Bay (SSFB), a lagoon-type estuary in which phytoplankton primary production is the largest source of organic carbon (.).
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Angewandte Chemie für Ingenieure. Environmental Protection Agency’s Environmental Monitoring and Assessment Program (EMAP; .), the U.S. Army’s Land Condition-Trend Analysis (LCTA) Program (.), and various agencies’ global change research programs (CEES 1993), there is a growing interest to expand ecological research both temporally and spatially.
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Halbleiter und Fotoelektrochemiees. The techniques for studying these long ecological time series are many and include statistical analysis, numerical modeling, and simulation. The selection of techniques depends on the problem being investigated and the types of data available.
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Year-to-Year Fluctuation of the Spring Phytoplankton Bloom in South San Francisco Bay: An Example ofg-term” (15-year) time series of phytoplankton biomass variability in South San Francisco Bay (SSFB), a lagoon-type estuary in which phytoplankton primary production is the largest source of organic carbon (.).
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