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Seasonal dynamics and functioning of the Sylt-Romo Bight, northern Wadden Sea
被引:14
|作者:
de la Vega, Camille
[1
]
Horn, Sabine
[1
]
Baird, Dan
[2
]
Hines, David
[3
]
Borrett, Stuart
[3
,4
]
Jensen, Lasse Fast
[5
]
Schwemmer, Philipp
[6
]
Asmus, Ragnhild
[1
]
Siebert, Ursula
[7
]
Asmus, Harald
[1
]
机构:
[1] Alfred Wegener Inst, Helmholtz Zentrum Polar & Meeresforsch, Wattenmeerstn Sylt Hafenstr 43, D-25992 List Auf Sylt, Germany
[2] Stellenbosch Univ, Dept Bot & Zool, ZA-7600 Stellenbosch, South Africa
[3] Univ North Carolina Wilmington, Dept Biol & Marine Biol, Wilmington, NC 28403 USA
[4] Duke Univ, Social Sci Res Inst, Duke Network Anal Ctr, Durham, NC USA
[5] Aalborg Univ, Sect Environm Technol, Dept Chem & Biosci, DK-9220 Aalborg, Denmark
[6] Christian Albrechts Univ Kiel, Forsch & Technol Zentrum Westkuste FTZ, Hafentorn 1, D-25761 Busum, Germany
[7] Stiftung Tiertirztliche Hsch Hannover, Inst Terr & Aquat Wildtierforsch, Werftstr 6, D-25761 Busum, Germany
关键词:
Ecological network analysis;
Food web model;
Seasonal variation;
Ecosystem functioning;
Uncertainty analysis;
ECOLOGICAL NETWORK ANALYSIS;
ECOSYSTEM-BASED MANAGEMENT;
GEESE BRANTA-BERNICLA;
LITTORINA-LITTOREA L;
NEUSE RIVER ESTUARY;
OXYGEN-CONSUMPTION;
MARINE ECOSYSTEMS;
PHOCA-VITULINA;
SWIMMING ACTIVITY;
LOLIGO-VULGARIS;
D O I:
10.1016/j.ecss.2018.01.021
中图分类号:
Q17 [水生生物学];
学科分类号:
071004 ;
摘要:
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-Romo 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-Romo 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. (C) 2018 Elsevier Ltd. All rights reserved.
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页码:100 / 118
页数:19
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