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Erschienen in:
Long-Term Ecosystem Research Between Theory and Application – An Introduction Kapitel lesen Erstes Kapitel lesen

2010 | OriginalPaper | Buchkapitel

11. Long-Term Model Simulation of Environmental Conditions to Identify Externally Forced Signals in Biological Time Series

verfasst von : Karina Stockmann, Ulrich Callies, Bryan F.J. Manly, Karen H. Wiltshire

Erschienen in: Long-Term Ecological Research

Verlag: Springer Netherlands

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Abstract

A case study is presented to demonstrate the added value which can be gained from combining long-term biological observations with model-based hind casts of physical environmental conditions. The study utilizes numerically simulated high-resolution fields of currents and water levels in the North Sea to investigate the relevance of hydrodynamic conditions for the occurrence of phytoplankton blooms, as observed at Helgoland Roads in the inner German Bight. Inter-annual variations as well as a possible regime shift are discussed with regard to the spring mean diatom day. The long-term high-resolution simulations of the North Sea circulation are taken from the data base ‘coastDat’.

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Vorheriges Kapitel Long-Term Ecological Change in the Northern Wadden Sea
Nächstes Kapitel Long-Term Investigations in Brackish Ecosystems
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Metadaten
Titel
Long-Term Model Simulation of Environmental Conditions to Identify Externally Forced Signals in Biological Time Series
verfasst von
Karina Stockmann
Ulrich Callies
Bryan F.J. Manly
Karen H. Wiltshire
Copyright-Jahr
2010
Verlag
Springer Netherlands
Buch
Long-Term Ecological Research

Print ISBN: 978-90-481-8781-2

Electronic ISBN: 978-90-481-8782-9

Copyright-Jahr: 2010

DOI
https://doi.org/10.1007/978-90-481-8782-9_11