dc.contributor.author | Sandvik, Gunnar | |
dc.date.accessioned | 2007-02-21T16:35:27Z | |
dc.date.accessioned | 2017-04-19T12:10:48Z | |
dc.date.available | 2007-02-21T16:35:27Z | |
dc.date.available | 2017-04-19T12:10:48Z | |
dc.date.issued | 2003 | |
dc.identifier.isbn | 82-471-5605-9 | |
dc.identifier.issn | 0802-3271 | |
dc.identifier.issn | 0802-3271 | |
dc.identifier.uri | http://hdl.handle.net/11250/2437785 | |
dc.description | Avhandling (dr.ing.) - Høgskolen i Telemark / Norges teknisk-naturvitenskapelige universitet. The thesis also contains the following papers: Paper 1: Gunnar Sandvik, Knut L. Seip & Harald Pleym. 2002. An anatomy of interactions among species in a seasonal world. Oikos 99: 260-271. Paper 2: Gunnar Sandvik, Knut L. Seip & Harald Pleym. 2003. Extracting signals of predation and competition from paired plankton time-series. Archive für Hydrobiologie 154(4): 455-471. Paper 3: Gunnar Sandvik, Christine Jessup, Knut L. Seip & Brendan Bohannan. 2004. Using the angle frequency method to detect signals of competition and predation in experimental time series. Ecology Letters 7(8): 640-652. Paper 4: Brendan J. M. Bohannan, Ben Kerr, Christine Jessup, Jennifer Hughes, & Gunnar Sandvik. 2002. Trade-offs and coexistence in microbial microcosms. Antonie van Leeuwenhoek 81: 107??15. | |
dc.description.abstract | This study concerns interaction between organisms. Such interactions are often studied through organism abundances over periods of time (time-series). Time-series reflect both internal (biological) and external (environmental) factors and the separation of these factors from time-series is a non-trivial task. The first two papers represent an introductory stage where a new approach to time-series analysis is presented and where two-species interactions are explored with synthetic data obtained from model simulations and lake plankton data. Paper 3 reports on time-series analysis of an experimental ecological system in which interactions are studied in greater detail. Paper 4 covers experiments testing the stability of demographic trade-offs in microcosms. By doing nearly equivalent analyses within a range of ??cological realism??of the time-series, this thesis puts the suggested method through a systematic test and explores some basic assumptions in time-series analysis. The first part of the thesis consists of a summary where this work is presented and discussed in the context of current time-series analysis. The second part contains the four papers. | |
dc.format.extent | 4552219 bytes | |
dc.format.mimetype | application/pdf | |
dc.language.iso | eng | |
dc.publisher | Telemark University College | |
dc.relation.ispartofseries | Doctoral theses at NTNU;2003:54 | |
dc.relation.uri | Paper I: http://dx.doi.org/10.1080/02813430801990302 | |
dc.relation.uri | Paper I: http://dx.doi.org/10.1080/02813430801990302 | |
dc.subject | Organisms | |
dc.subject | Interaction | |
dc.subject | Lakes | |
dc.title | Identification of signals describing pairwise interaction in plankton, bacteria and bacteriophage : a study of model, microcosm and lake | |
dc.type | Doctoral thesis | |
dc.type | Peer reviewed | |
dc.rights.holder | © Copyright The Author. All rights reserved | |
dc.subject.nsi | 610 | no |
dc.subject.nsi | 472 | no |