Seasonal dynamics and functioning of the Sylt-Rømø Bight, northern Wadden Sea. (5th April 2018)
- Record Type:
- Journal Article
- Title:
- Seasonal dynamics and functioning of the Sylt-Rømø Bight, northern Wadden Sea. (5th April 2018)
- Main Title:
- Seasonal dynamics and functioning of the Sylt-Rømø Bight, northern Wadden Sea
- Authors:
- de la Vega, Camille
Horn, Sabine
Baird, Dan
Hines, David
Borrett, Stuart
Jensen, Lasse Fast
Schwemmer, Philipp
Asmus, Ragnhild
Siebert, Ursula
Asmus, Harald - Abstract:
- Abstract: The Wadden Sea undergoes large seasonal changes in species abundance and biomass comprising its complex food web. This study examined four carbon food web models of the Sylt-Rømø Bight, one for each season. Each flow model consisted of 66 compartments depicting the respective biomass and energy budget of each ecosystem component and the flows between them. Ecological network analysis (ENA), a set of algorithms to evaluate the functioning of ecological networks, was used to assess the seasonal variability in the system properties of the Sylt-Rømø Bight food webs. We used an uncertainty analysis to quantitatively evaluate the significance of inter-seasonal differences. Clear seasonal variation was observed in most of the whole system indicators such as the flow diversity, the effective link density and the relative redundancy which varied by 12.8%, 17.3% and 10.3% respectively between the highest in summer and the lowest during fall and winter, whereas the relevant ascendency ratio was the highest in winter during the least active months. Other indices such as the average mutual information index, which fluctuated between 1.73 in fall and 1.79 in spring, showed no significant variation between seasons. Results from ENA have great potential for ecosystem management, as it provides a holistic assessment of the functioning of ecosystems. Graphical abstract: Image 1 Highlights: We modelled the food web of the Sylt-Rømø Bight seasonally. We run an uncertainty analysis onAbstract: The Wadden Sea undergoes large seasonal changes in species abundance and biomass comprising its complex food web. This study examined four carbon food web models of the Sylt-Rømø Bight, one for each season. Each flow model consisted of 66 compartments depicting the respective biomass and energy budget of each ecosystem component and the flows between them. Ecological network analysis (ENA), a set of algorithms to evaluate the functioning of ecological networks, was used to assess the seasonal variability in the system properties of the Sylt-Rømø Bight food webs. We used an uncertainty analysis to quantitatively evaluate the significance of inter-seasonal differences. Clear seasonal variation was observed in most of the whole system indicators such as the flow diversity, the effective link density and the relative redundancy which varied by 12.8%, 17.3% and 10.3% respectively between the highest in summer and the lowest during fall and winter, whereas the relevant ascendency ratio was the highest in winter during the least active months. Other indices such as the average mutual information index, which fluctuated between 1.73 in fall and 1.79 in spring, showed no significant variation between seasons. Results from ENA have great potential for ecosystem management, as it provides a holistic assessment of the functioning of ecosystems. Graphical abstract: Image 1 Highlights: We modelled the food web of the Sylt-Rømø Bight seasonally. We run an uncertainty analysis on these four seasonal food web models. Most of the whole system indicators reflected the seasonal variation of the biomass. The system had higher ability to cope with disturbances in summer compared to winter. An annual model would be sufficient for management purpose. … (more)
- Is Part Of:
- Estuarine, coastal and shelf science. Volume 203(2018)
- Journal:
- Estuarine, coastal and shelf science
- Issue:
- Volume 203(2018)
- Issue Display:
- Volume 203, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 203
- Issue:
- 2018
- Issue Sort Value:
- 2018-0203-2018-0000
- Page Start:
- 100
- Page End:
- 118
- Publication Date:
- 2018-04-05
- Subjects:
- Ecological network analysis -- Food web model -- Seasonal variation -- Ecosystem functioning -- Uncertainty analysis
Estuarine oceanography -- Periodicals
Coasts -- Periodicals
Estuarine biology -- Periodicals
Seashore biology -- Periodicals
Coasts
Estuarine biology
Estuarine oceanography
Seashore biology
Periodicals
551.461805 - Journal URLs:
- http://www.sciencedirect.com/science/journal/02727714 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ecss.2018.01.021 ↗
- Languages:
- English
- ISSNs:
- 0272-7714
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3812.599200
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British Library STI - ELD Digital store - Ingest File:
- 11606.xml