Download
Schmidt_et_al-2019-Limnology_and_Oceanography.pdf 2,49MB
WeightNameValue
1000 Titel
  • Disentangling limnological processes in the time‐frequency domain
1000 Autor/in
  1. Schmidt, Silke R. |
  2. Lischeid, Gunnar |
  3. Hintze, Thomas |
  4. Adrian, Rita |
1000 Erscheinungsjahr 2018
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2018-11-14
1000 Erschienen in
1000 Quellenangabe
  • 64:423-40
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2018
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1002/lno.11049 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • State variables in lake ecosystems are subject to processes that act on different time scales. The relative importance of each of these processes changes over time, e.g., due to varying constraints of physical, biological, and biogeochemical processes. Correspondingly, continuous automatic measurements at high temporal resolution often reveal intriguing patterns that can rarely be directly ascribed to single processes. In light of the rather complex interplay of such processes, disentangling them requires more powerful methods than researchers have applied up to this point. For this reason, we tested the potential of wavelet coherence, based on the assumption that different processes result in correlations between different variables, on different time scales and during different time windows across the seasons. The approach was tested on a set of multivariate hourly data measured between the onset of an ice cover and a cyanobacterial summer bloom in the year 2009 in the Müggelsee, a polymictic eutrophic lake. We found that processes such as photosynthesis and respiration, the growth and decay of phytoplankton biomass, dynamics in the CO2‐carbonate system, wind‐induced resuspension of particles, and vertical mixing all occasionally served as dominant drivers of the variability in our data. We therefore conclude that high‐resolution data and a method capable of analyzing time series in both the time and the frequency domain can help to enhance our understanding of the time scales and processes responsible for the high variability in driver variables and response variables, which in turn can lay the ground for mechanistic analyses.
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-9016-3887|https://orcid.org/0000-0003-3700-6062|https://frl.publisso.de/adhoc/uri/SGludHplLCBUaG9tYXM=|https://orcid.org/0000-0002-6318-7189
1000 (Academic) Editor
1000 Label
1000 Förderer
  1. Deutsche Forschungsgemeinschaft |
  2. Universität Potsdam |
  3. Fondation pour la Recherche sur la Biodiversite |
  4. John Wesley Powell Center for Analysis and Synthesis |
  5. Horizon 2020 |
1000 Fördernummer
  1. AD 91/13‐1
  2. -
  3. -
  4. -
  5. H2020‐MSCA‐ITN‐2016
1000 Förderprogramm
  1. LakeRisk
  2. Potsdam Graduate School; Office of Equal Opportunity and Diversity
  3. CESAB
  4. -
  5. MANTEL
1000 Dateien
  1. Disentangling limnological processes in the time‐frequency domain
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Deutsche Forschungsgemeinschaft |
    1000 Förderprogramm LakeRisk
    1000 Fördernummer AD 91/13‐1
  2. 1000 joinedFunding-child
    1000 Förderer Universität Potsdam |
    1000 Förderprogramm Potsdam Graduate School; Office of Equal Opportunity and Diversity
    1000 Fördernummer -
  3. 1000 joinedFunding-child
    1000 Förderer Fondation pour la Recherche sur la Biodiversite |
    1000 Förderprogramm CESAB
    1000 Fördernummer -
  4. 1000 joinedFunding-child
    1000 Förderer John Wesley Powell Center for Analysis and Synthesis |
    1000 Förderprogramm -
    1000 Fördernummer -
  5. 1000 joinedFunding-child
    1000 Förderer Horizon 2020 |
    1000 Förderprogramm MANTEL
    1000 Fördernummer H2020‐MSCA‐ITN‐2016
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6416747.rdf
1000 Erstellt am 2019-10-14T15:57:52.076+0200
1000 Erstellt von 304
1000 beschreibt frl:6416747
1000 Bearbeitet von 122
1000 Zuletzt bearbeitet Thu Jan 30 17:36:30 CET 2020
1000 Objekt bearb. Mon Oct 14 15:59:53 CEST 2019
1000 Vgl. frl:6416747
1000 Oai Id
  1. oai:frl.publisso.de:frl:6416747 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

View source